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                    U.S. DEPARTMENT OF AGRICULTURE
 Hydrology and Remote Sensing Laboratory: Beltsville, MD
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ARS Home Northeast Area Beltsville, Maryland (BARC) Beltsville Agricultural Research Center Hydrology and Remote Sensing Laboratory People & Locations





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- Joseph Alfieri
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- Michael Cosh
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Michael H Cosh
                     

                     Research Hydrologist

                     


                        **Publications**
                                    (Clicking on the reprint icon
                                       Reprint Icon
                                       will take you to the publication reprint.)Global soil moisture from combined active and passive microwave observations: integrating ASCAT and SMAP observations based on machine learning approaches

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(Peer Reviewed Journal)Ma, H., Zeng, J., Wigneron, J., Li, X., Fu, P., Kolassa, J., Cosh, M.H. 2024. Global soil moisture from combined active and passive microwave observations: integrating ASCAT and SMAP observations based on machine learning approaches. Remote Sensing of Environment. 308:114197. https://doi.org/10.1016/j.rse.2024.114197.Retrieving forest soil moisture from SMAP observations considering a microwave polarization difference index (MPDI) to tau-omega model

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(Peer Reviewed Journal)Park, C., Colliander, A., Jagdhuber, T., Berg, A., Lee, J., Boo, K., Cosh, M.H. 2024. Retrieving forest soil moisture from SMAP observations considering a microwave polarization difference index (MPDI) to tau-omega model . Remote Sensing of Environment. 9. Article e100131. https://doi.org/10.1016/j.srs.2024.100131.Within-field soil moisture variability and time-invariant spatial structures of agricultural fields in the US Midwest

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(Peer Reviewed Journal)Yang, Y., Peng, B., Guan, K., Pan, M., Franz, T., Cosh, M.H., Bernacchi, C.J. 2024. Within-field soil moisture variability and time-invariant spatial structures of agricultural fields in the US Midwest. Vadose Zone Journal. Article e20337. https://doi.org/10.1002/vzj2.20337.Precision Soil Moisture Monitoring with Passive Microwave L-band UAS Mapping

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(Peer Reviewed Journal)Kim, K.Y., Zhu, Z., Zhang, R., Fang, B., Cosh, M.H., Russ, A.L., Dai, E., Elston, J., Stachura, M., Gasiewski, A., Lakshmi, V. 2024. Precision Soil Moisture Monitoring with Passive Microwave L-band UAS Mapping. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17:7684-7694. https://doi.org/10.1109/JSTARS.2024.3382045.Advancements in dielectric soil moisture sensor Calibration: A comprehensive review of methods and techniques

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(Peer Reviewed Journal)Mane, S., Das, N., Singh, G., Cosh, M.H., Dong, Y. 2024. Advancements in dielectric soil moisture sensor Calibration: A comprehensive review of methods and techniques. Computers and Electronics in Agriculture. 218. Article e 108686. https://doi.org/10.1016/j.compag.2024.108686.Chapter 11 - Agriculture, food systems, and rural communities

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()Bolster, C.H., Mitchell, R., Kitts, A., Campbell, A., Cosh, M.H., Farrigan, T.L., Franzluebbers, A.J., Hoover, D.L., Jin, V.L., Peck, D.E., Schmer, M.R., Smith, M.D. 2023. Chapter 11 - Agriculture, food systems, and rural communities. National Climate Assessment. https://doi.org/10.7930/NCA5.2023.CH11.Data from: Two years of plant and field data of cotton (Gossypium hirsutum L.) from the Gulf Atlantic Coastal Plain Long-Term Agroecosystem Research network site

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()Coffin, A.W., Cosh, M.H., Pisarello, K. 2023. Data from: Two years of plant and field data of cotton (Gossypium hirsutum L.) from the Gulf Atlantic Coastal Plain Long-Term Agroecosystem Research network site. Ag Data Commons. https://doi.org/10.15482/USDA.ADC/1529757.USDA Long-Term Agroecosystem Research: four data workflows for network data integration

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(Abstract Only)Abendroth, L.J., Kleinman, P.J., Armendariz, G.A., Coffin, A.W., Cosh, M.H., Heilman, P., Hoover, D.L., Kaplan, N.E., White, W.A., Bestelmeyer, B.T., Browning, D.M., Carlson, B.R. 2023. USDA Long-Term Agroecosystem Research: four data workflows for network data integration [abstract]. 2023 ASA-CSSA-SSSA International Annual Meeting, October 29-November 1, 2023, St. Louis, Missouri. Available: https://scisoc.confex.com/scisoc/2023am/meetingapp.cgi/Paper/152342Inversion and Validation of FY-4A Official Land Surface Temperature Product

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(Peer Reviewed Journal)Dong, L., Wang, F., Cosh, M.H., Min, M. 2023. Inversion and Validation of FY-4A Official Land Surface Temperature Product. Journal of Photogrammetry and Remote Sensing. 15(9):2437. https://doi.org/10.3390/rs15092437.Performance of SMOS soil moisture products over core validation sites

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(Peer Reviewed Journal)Colliander, A., Kerr, Y., Wigneron, J., Al-Yaari, A., Rodriguez-Fernandez, N., Li, X., Chaubell, J., Richaume, P., Mialon, A., Asanuma, J., Berg, A., Bosch, D.D., Caldwell, T., Cosh, M.H., Holifield Collins, C.D., Martinez-Fernandez, J., Mcnaim, H., Seyfried, M.S., Starks, P.J., Su, Z., Thibeault, M., Walker, J. 2023. Performance of SMOS soil moisture products over core validation sites. IEEE Geoscience and Remote Sensing Magazine. 20:1-5. https://doi.org/10.1109/LGRS.2023.3272878.Form field observations to temporally dynamic roughness retrievals in the corn belt

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(Peer Reviewed Journal)Walker, V., Yildrim, E., Wallace, V., Eichinger, W., Cosh, M.H., Hornbuckle, B. 2023. Form field observations to temporally dynamic roughness retrievals in the corn belt. Remote Sensing of Environment. 287. Article e113458. https://doi.org/10.1016/j.rse.2023.113458.Upscaling soil moisture from point scale to field scale: Toward a general model

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(Peer Reviewed Journal)Brown, W.G., Ochsner, T., Cosh, M.H., Dong, G. 2023. Upscaling soil moisture from point scale to field scale: Toward a general model. Vadose Zone Journal. 22(2). Article e20244. https://doi.org/10.1002/vzj2.20244.A vision for integrated, collaborative solutions to critical water and food challenges

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(Peer Reviewed Journal)Elias, E.H., Tsegaye, T.D., Hapeman, C.J., Mankin, K.R., Kleinman, P.J., Cosh, M.H., Peck, D.E., Coffin, A.W., Archer, D.W., Alfieri, J.G., Anderson, M.C., Baffaut, C., Baker, J.M., Bingner, R.L., Bjorneberg, D.L., Bryant, R.B., Gao, F.N., Gao, S., Heilman, P., Knipper, K.R., Kustas, W.P., Leytem, A.B., Locke, M.A., McCarty, G.W., McElrone, A.J., Moglen, G.E., Moriasi, D.N., OShaughnessy, S.A., Reba, M.L., Rice, P.J., Silber-Coats, N., Wang, D., White, M.J., Dombrowski, J.E. 2023. A vision for integrated, collaborative solutions to critical water and food challenges. Journal of Soil and Water Conservation. 78(3):63A-68A. https://doi.org/10.2489/jswc.2023.1220A.Working toward a National Coordinated Soil Moisture Monitoring Network: vision, progress, and future directions

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(Peer Reviewed Journal)Baker, B., Cosh, M.H., Brusberg, M., Bolten, J., Caldwell, T., Connolly, S., Goble, P., Meyers, T., Ochsner, T., Quiring, S., Svoboda, M., Skumanich, M., Woloszyn, M. 2022. Working toward a National Coordinated Soil Moisture Monitoring Network: vision, progress, and future directions . Bulletin of the American Meteorological Society. 103(12):E2719–E2732. https://doi.org/10.1175/BAMS-D-21-0178.1.In situ soil moisture sensors in undisturbed soils

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(Peer Reviewed Journal)Caldwell, T., Cosh, M.H., Evett, S.R., Edwards, N., Hofman, H., Illston, B., Meyers, T., Skumanich, M., Sutcliffe, K. 2022. In situ soil moisture sensors in undisturbed soils. Journal of Visualized Experiments. https://doi.org/10.3791/64498.Application of a change detection soil moisture retrieval algorithm to combined, semiconcurrent radiometer, and radar observations

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(Peer Reviewed Journal)Ouellette, J., Himani, T., Li, L., Colliander, S., Twarog, E., Goodrich, D.C., Holifield Collins, C.D., Cosh, M.H., Walker, J. 2022. Application of a change detection soil moisture retrieval algorithm to combined, semiconcurrent radiometer, and radar observations. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15:9716-9721. https://doi.org/10.1109/JSTARS.2022.3219259.A multi-temporal and multi-angular approach for systematically retrieving soil moisture and vegetation optical depth from SMOS data

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(Peer Reviewed Journal)Bai, Y., Zhao, T., Jia, L., Cosh, M.H., Shi, J., Peng, Z., Li, X., Wigneron, J. 2022. A multi-temporal and multi-angular approach for systematically retrieving soil moisture and vegetation optical depth from SMOS data. Remote Sensing of Environment. 280:113190. https://doi.org/10.1016/j.rse.2022.113190.Assessing the spatiotemporal variability of SMAP soil moisture accuracy in a deciduous forest region

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(Peer Reviewed Journal)Abdelkader, M., Temimi, M., Colliander, A., Cosh, M.H., Kelly, V., Lakhankar, T., Fares, A. 2022. Assessing the spatiotemporal variability of SMAP soil moisture accuracy in a deciduous forest region. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14(14). https://doi.org/10.3390/rs14143329.Multi-frequency radiometer-based soil moisture retrieval and algorithm parameterization using in situ sites

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(Peer Reviewed Journal)Gao, Y., Colliander, A., Burgin, M., Walker, J., Dinnat, E., Chae, C., Cosh, M.H., Caldwell, T., Berg, A., Martinez-Fernandez, J., Seyfried, M.S., Starks, P.J., Bosch, D.D., Mcnairn, H., Su, Z., Van Der Velde, R. 2022. Multi-frequency radiometer-based soil moisture retrieval and algorithm parameterization using in situ sites. Remote Sensing of Environment. 279. Article 113113. https://doi.org/10.1016/j.rse.2022.113113.A twenty-year dataset of soil moisture and vegetation optical depth from AMSR-E/2 measurements using the multichannel collaborative algorithm

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(Peer Reviewed Journal)Hu, L., Zhao, T., Ju, W., Peng, Z., Shi, J., Wigneron, J., Rodrigues-Fernandez, N., Cosh, M.H., Yang, K., Lu, H., Yao, P. 2023. A twenty-year dataset of soil moisture and vegetation optical depth from AMSR-E/2 measurements using the multichannel collaborative algorithm. Remote Sensing of Environment. 292:113595. https://doi.org/10.1016/j.rse.2023.113595.Thermal hydraulic disaggregation of SMAP soil moisture over continental United States

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(Peer Reviewed Journal)Liu, P., Bindlish, R., O'Neil, P., Fang, B., Lakshmi, V., Yang, Z., Cosh, M.H., Bongiovanni, T., Holifield Collins, C.D., Starks, P.J., Prueger, J.H., Bosch, D.D., Seyfried, M.S., Williams, M.R. 2022. Thermal hydraulic disaggregation of SMAP soil moisture over continental United States. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15:4072-4093. https://doi.org/10.1109/JSTARS.2022.3165644.Long term agroecosystem research experimental watershed network

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(Peer Reviewed Journal)Goodrich, D.C., Bosch, D.D., Bryant, R.B., Cosh, M.H., Endale, D.M., Veith, T.L., Kleinman, P.J., Langendoen, E.J., McCarty, G.W., Pierson Jr., F.B., Schomberg, H.H., Smith, D.R., Starks, P.J., Strickland, T.C., Tsegaye, T.D., Awada, T., Swain, H., Derner, J.D., Bestelmeyer, B.T., Schmer, M.R., Baker, J.M., Carlson, B.R., Huggins, D.R., Archer, D.W., Armendariz, G.A. 2022. Long term agroecosystem research experimental watershed network. Hydrological Processes. 36(3). Article e14534. https://doi.org/10.1002/hyp.14534. [Corrigendum: Hydrological Processes: 2022, 36(6), Article e14609. https://doi.org/10.1002/hyp.14609.]Evaluating soil moisture monitoring systems for remote sensing calibration and validation

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(Abstract Only)Assessment of 24 soil moisture datasets using a new in situ network in the Shandian River Basin of China

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(Peer Reviewed Journal)Zheng, J., Zhao, T., Lu, H., Shi, J., Cosh, M.H., Ji, D., Jiang, L., Cui, Q., Lu, H., Yang, K., Wigneron, J., Li, X., Zhu, Y., Hu, L., Wang, X., Kern, S. 2022. Assessment of 24 soil moisture datasets using a new in situ network in the Shandian River Basin of China. Remote Sensing of Environment. 271:112891. https://doi.org/10.1016/j.rse.2022.112891.Analyzing effects of crops on SMAP satellite-based soil moisture using a rainfall–runoff model in the U.S. Corn Belt

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(Peer Reviewed Journal)Jadidoleslam, N., Hornbuckle, B., Mantilla, R., Krajewski, W., Cosh, M.H. 2021. Analyzing effects of crops on SMAP satellite-based soil moisture using a rainfall–runoff model in the U.S. Corn Belt. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15:247-260. https://doi.org/10.1109/JSTARS.2021.3131133.An inverse dielectric mixing model at 50MHz for soil water characterization of agricultural soil carbon

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(Peer Reviewed Journal)Park, C.H., Berg, A., Cosh, M.H., Colliander, A., Behrendt, A., Manns, H., Hong, J., Lee, J., Wulfmeyer, V. 2021. An inverse dielectric mixing model at 50MHz for soil water characterization of agricultural soil carbon. Hydrology and Earth System Sciences. 25(12):6407-6420. https://doi.org/10.5194/hess-25-6407-2021.Regularized dual-channel algorithm for the retrieval of soil moisture and vegetation optical depth for SMAP

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(Peer Reviewed Journal)Chaubell, J., Yueh, S., Dunbar, S., Andreas, C., Entekhabi, D., Chan, S., Chen, F., Xu, A., Bindlish, R., O'Neill, P., Asanuma, J., Berg, A., Bosch, D.D., Caldwell, T., Cosh, M.H., Holifield Collins, C.D., Jensen, K., Martinez-Fern, J., Mcnarin, H., Seyfried, M.S., Starks, P.J., Su, Z., Thibeault, M., Walker, J. 2022. Regularized dual-channel algorithm for the retrieval of soil moisture and vegetation optical depth for SMAP. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15(2022):102-114. https://doi.org/10.1109/JSTARS.2021.3123932.Validation of SMAP soil moisture at terrestrial National Ecological Observatory Network (NEON) sites show potential for soil moisture retrieval in forested areas

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(Peer Reviewed Journal)Ayres, E., Colliander, A., Cosh, M.H., Roberti, J., Simkin, S., Genazzio, M. 2021. Validation of SMAP soil moisture at terrestrial National Ecological Observatory Network (NEON) sites show potential for soil moisture retrieval in forested areas. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14:10903-10918. https://doi.org/10.1109/JSTARS.2021.3121206.Calibration and validation for the L2/3_SM_P version 8 and L2/3_SM_P_E version 5 data products

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()O’Neill, P., Chan, S., Bindlish, R., Chaubell, M., Colliander, A., Chen, F., Dunbar, S.. Jackson, T., Peng, J., Mousavi, M., Cosh, M., Bongiovanni, T., Walker, J., Wu, X., Berg, A., McNairn, H., Thibeault, M., Martínez-Fernández, J., González-Zamora, A., Lopez-Baeza, E., Jensen, K., Seyfried, M., Bosch, D., Starks, P., Holifield Collins, C., Prueger, J., Su, Z., van der Velde, R., Asanuma, J., Palecki, M., Small, E., Zreda, M., Calvet, J., Crow, W., Kerr, Y., Yueh, S., and Entekhabi, D., October 12, 2021.  Calibration and Validation for the L2/3_SM_P Version 8 and L2/3_SM_P_E Version 5 Data Products, SMAP Project, JPL D-56297, Jet Propulsion Laboratory, Pasadena, CA.Impact of vegetation water content information on soil moisture retrievals in agricultural regions: An analysis based on the SMAPVEX16-MicroWEX dataset

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(Peer Reviewed Journal)Judge, J., Lui, P., Monsivais-Huertero, A., Bongiovanni, T., Chakrabarti, S., Steele-Dunne, S., Preston, D., Allen, S., Bermejo, J.P., Rush, P., Deroo, R., Colliander, A., Cosh, M.H. 2021. Impact of vegetation water content information on soil moisture retrievals in agricultural regions: An analysis based on the SMAPVEX16-MicroWEX dataset. Remote Sensing of Environment. 265:112623. https://doi.org/10.1016/j.rse.2021.112623.Understanding temporal stability: A long-term analysis of USDA ARS watersheds

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(Peer Reviewed Journal)Coopersmith, E., Cosh, M.H., Starks, P.J., Bosch, D.D., Holifield Collins, C.D., Seyfried, M.S., Livingston, S.J., Prueger, J.H. 2021. Understanding temporal stability: A long-term analysis of USDA ARS watersheds. International Journal of Digital Earth. https://doi.org/10.1080/17538947.2021.1943550.Sentinel-1 soil moisture at 1km resolution: a validation study

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(Peer Reviewed Journal)Balenzano, A., Mattia, F., Satalino, G., Lovergine, F., Palmisano, D., Peng, J., Marzahn, P., Wegmuller, U., Cartus, O., Dabrowska-Zielinska, K., Musial, J., Davidson, M.J., Cosh, M.H. 2021. Sentinel-1 soil moisture at 1km resolution: a validation study. Remote Sensing of Environment. 263:112554. https://doi.org/10.1016/j.rse.2021.112554.Validation of soil moisture data products from the NASA SMAP mission

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(Peer Reviewed Journal)Colliander, A. Reichle, R.H., Crow, W.T., Cosh, M.H., Chen, F., Chan, S., Das, N., Bindlish, R., Chaubell, M.J., Kim, S.B., Liu, Q., O’Neill, P., Dunbar, R.S., Dang,  L., Kimball, J., Jackson, T.J., al Jassar, J.K., Asanuma, J., Bhattacharya, B.K., Berg, A., Bosch, D.D., Bourgeau-Chavez, L., Caldwell, T., Calvet, J-C., Dorigo, W., Holifield Collins, C., Jensen, K., Livingston, S., Lopez-Baeza, E., Martínez-Fernández, J.,  McNairn, H., Moghaddam, M., Montzka, C., Notarnicola, C., Pellarin, T., Prueger, J., Pulliainen, J., Ramos, J., Seyfried, M., Starks, P., Su, Z., van der Velde, R., Zeng, Y., Thibeault, M., Walker, J.P., Zribi, M., Entekhabi, D., and Yueh, S. 2022. Validation of Soil Moisture Data Products from the NASA SMAP Mission. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15:364-392. https://doi.org/10.1109/JSTARS.2021.3124743.A long term global daily soil moisture dataset derived from AMSR-E/2 (2002-2019)

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(Peer Reviewed Journal)Yao, P., Lu, H., Shi, J., Zhao, T., Yang, K., Cosh, M.H., Short-Gianotti, D.J., Entekhabi, D. 2021. A long term global daily soil moisture dataset derived from AMSR-E/2 (2002-2019). Scientific Data. 8:143. https://doi.org/10.6084/m9.figshare.14533554.Developing a strategy for the National Coordinated Soil Moisture Monitoring Network

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()Cosh, M.H., Caldwell, T., Baker, B., Bolten, J., Edwards, N., Goble, P., Hofman, H., Ochsner, T., Quiring, S.M., Schalk, C., Skumanich, M., Svoboda, M., Woloszyn, M. 2021. Developing a strategy for the National Coordinated Soil Moisture Monitoring Network. Vadose Zone Journal. 20:4. https://doi.org/10.1002/vzj2.20139.Evaluating NISAR’s cropland area algorithm over the conterminous United States using Sentinel-1 data

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(Peer Reviewed Journal)Rose, S., Kraatz, S., Kellndorfer, J., Cosh, M.H., Torbick, N., Huang, X., Siqueira, P. 2021. Evaluating NISAR’s cropland area algorithm over the conterminous United States using Sentinel-1 data. Remote Sensing of Environment. 260:112472. https://doi.org/10.1016/j.rse.2021.112472.SMAP radiometer soil moisture downscaling using VIIRS/MODIS data in CONUS

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(Peer Reviewed Journal)Fang, B., Lakshmi, V., Cosh, M.H., Hain, C. 2021. SMAP radiometer soil moisture downscaling using VIIRS/MODIS data in CONUS. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14:4946-4965. https://doi.org/10.1109/JSTARS.2021.3076026.From standard weather stations to virtual micro-meteorological towers: real-time modeling tool for surface energy fluxes,
evapotranspiration, soil temperature and soil moisture estimations

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(Peer Reviewed Journal)Celis, J.A., Moreno, H.A., Basara, J., Mcpherson, R., Cosh, M.H., Ochsner, T., Xia0, X. 2021. From standard weather stations to virtual micro-meteorological towers: real-time modeling tool for surface energy fluxes, evapotranspiration, soil temperature and soil moisture estimations. Remote Sensing. 13(7):1271. https://doi.org/10.3390/rs13071271.High-resolution soil moisture maps over landslide regions in northern California grassland derived from SAR backscattering coefficients

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(Peer Reviewed Journal)Liao, T., Kim, S., Handwerger, A., Fielding, E., Cosh, M.H., Schulz, W. 2021. High-resolution soil moisture maps over landslide regions in northern California grassland derived from SAR backscattering coefficients. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14:4547-4560. https://doi.org/10.1109/JSTARS.2021.3069010.Comparison between dense L-band and C-band Synthetic Aperture Radar (SAR) time series for crop area mapping over a NISAR calibration-validation site

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(Peer Reviewed Journal)Kraatz, S., Torbick, N., Jiao, X., Huang, X., Dingle Robertson, L., Davidson, A., Mcnaim, H., Cosh, M.H., Siqueira, P. 2021. Comparison between dense L-band and C-band Synthetic Aperture Radar (SAR) time series for crop area mapping over a NISAR calibration-validation site. Agronomy. 11(2):273. https://doi.org/10.3390/agronomy11020273.L-band vegetation optical depth as an indicator of plant water potential in a temperate deciduous forest stand

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(Peer Reviewed Journal)Holtzman, N., Anderegg, L.L., Kraatz, S., Mavrovic, A., Sonnentag, O., Pappas, C., Cosh, M.H., Langlois, A., Lakhankar, T., Tesser, D., Steiner, N., Colliander, A., Roy, A., Konings, A. 2021. L-band vegetation optical depth as an indicator of plant water potential in a temperate deciduous forest stand. Biogeosciences. 18(2):739-753. https://doi.org/10.5194/bg-18-739-2021.Surface soil moisture retrievals under forest canopy for L-band SAR observations across a wide range of incidence angles by inverting a physical scattering model

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(Peer Reviewed Journal)Kurum, M., Kim, S., Akbar, R., Cosh, M.H. 2020. Surface soil moisture retrievals under forest canopy for L-band SAR observations across a wide range of incidence angles by inverting a physical scattering model. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14:1741-1753. https://doi.org/10.1109/JSTARS.2020.3047883.Assessing disaggregated SMAP soil moisture products in the United States

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(Peer Reviewed Journal)Liu, P., Bindlish, R., Fang, B., Lakshmi, V., O'Neill, P., Yang, Z., Cosh, M.H., Bongiovqnni, T., Bosch, D.D., Holifield Collins, C.D., Starks, P.J., Prueger, J.H., Seyfried, M.S., Livingston, S.J. 2021. Assessing disaggregated SMAP soil moisture products in the United States. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14:2577-2592. https://doi.org/10.1109/JSTARS.2021.3056001.Field scale soil moisture retrieval using PALSAR-2 polarimetric decomposition and machine learning

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(Peer Reviewed Journal)Huang, X., Ziniti, B., Cosh, M.H., Reba, M.L., Wang, J., Torbick, N. 2020. Field scale soil moisture retrieval using PALSAR-2 polarimetric decomposition and machine learning. Agronomy. 11(1):35. https://doi.org/10.3390/agronomy11010035.Performance evaluation of UAVSAR and simulated NISAR data for crop/non-crop classification over Stoneville, MS

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(Peer Reviewed Journal)Kraatz, S., Rose, S., Cosh, M.H., Torbick, N., Huang, X., Siqueira, P. 2020. Performance evaluation of UAVSAR and simulated NISAR data for crop/non-crop classification over Stoneville, MS. Earth and Space Science. 8, e2020EA00136. https://doi.org/10.1029/2020EA001363.Quantitative assessment of satellite L-band vegetation optical depth in the U.S. corn belt

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(Peer Reviewed Journal)Togliatti, K., Lewis-Beck, C., Walker, V.A., Hartman, T., Van Loocke, A., Cosh, M.H., Hornbuckle, B. 2020. Quantitative assessment of satellite L-band vegetation optical depth in the U.S. corn belt. Geoscience and Remote Sensing Letters. 1-5. https://doi.org/10.1109/LGRS.2020.3034174.Evaluation of SMAP core validation site representativeness errors using dense networks of in situ sensors and random forests

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(Peer Reviewed Journal)Whitcomb, J., Clewley, D., Colliander, A., Cosh, M.H., Powers, J., Friesen, M., McNairn, H., Berg, A., Bosch, D.D., Coffin, A.W., Holifield Collins, C.D., Prueger, J.H., Entekhabi, D., Moghaddam, M. 2020. Evaluation of SMAP core validation site representativeness errors using dense networks of in situ sensors and random forests. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 13:6457-6472. https://doi.org/10.1109/JSTARS.2020.3033591.A roadmap for high resolution satellite soil moisture applications - confronting product characteristics with user requirements

                                       -
(Peer Reviewed Journal)Peng, J., Albergel, C., Balenzano, A., Brocca, L., Cartus, O., Cosh, M.H., Crow, W.T., Dabrowska-Zielinska, K., Dadson, S., Davidson, M., De Rosnay, P., Dorigo, W., Gruber, A., Hagemann, S., Hirschi, M., Kerr, Y., Lovergine, F., Marzahn, P., Mattia, F., Musial, J., Preuschmann, S., Reichle, R., Satalino, G., Silgram, M., Van Bodegom, P. 2020. A roadmap for high resolution satellite soil moisture applications - confronting product characteristics with user requirements. Nature Reviews Earth & Environment. 252:112162. https://doi.org/10.1016/j.rse.2020.112162.Parameterization of vegetation scattering albedo in the tau-omega model for soil moisture retrieval on croplands

                                       -
(Peer Reviewed Journal)Park, C., Jagdhuber, T., Colliander, A., Lee, J., Berg, A., Cosh, M.H., Kim, S., Kim, Y., Wulfmeyer, V. 2020. Parameterization of vegetation scattering albedo in the tau-omega model for soil moisture retrieval on croplands. Remote Sensing. 12(18):2939. https://doi.org/10.3390/rs12182939.Towards operational validation systems for global satellite-derived terrestrial essential climate variables

                                       -
(Peer Reviewed Journal)Bayat, B., Camacho, F., Nickeson, J., Cosh, M.H., Bolten, J., Vereecken, H., Montzka, C. 2020. Towards operational validation systems for global satellite-derived terrestrial essential climate variables. International Journal of Applied Earth Observation and Geoinformation. 95:102240. https://doi.org/10.1016/j.jag.2020.102240.SMAP detects soil moisture under temperate forest canopies

                                       -
(Peer Reviewed Journal)Colliander, A., Cosh, M.H., Kelly, V., Kraatz, S., Bourgeau-Chavez, L., Siqueira, P., Roy, A., Konings, A., Holtzman, N., Misra, S., Entekhabi, D., O'Neill, P.E., Yueh, S. 2020. SMAP detects soil moisture under temperate forest canopies. Geophysical Research Letters. 47(19):e2020GL089697. https://doi.org/10.1029/2020GL089697.Tracking red palm mite damage in the Western Hemisphere invasion with Landsat remote sensing data

                                       -
(Peer Reviewed Journal)Rodrigues, J., Cosh, M.H., Hunt Jr, E.R., De Moraes, G., Barroso, G., White, W.A., Ochoa, R. 2020. Tracking red palm mite damage in the Western Hemisphere invasion with Landsat remote sensing data. Insects. 11(9):627. https://doi.org/10.3390/insects11090627.Global soil moisture retrievals from the Chinese FY-3D microwave radiation imager

                                       -
(Peer Reviewed Journal)Kang, C.S., Zhao, T., Shi, J.C., Cosh, M.H., Chen, Y., Starks, P.J., Holifield Collins, C.D., Wu, S., Sun, R., Zheng, J. 2020. Global soil moisture retrievals from the Chinese FY-3D microwave radiation imager. IEEE Transactions on Geoscience and Remote Sensing. https://doi.org/10.1109/TGRS.2020.3019408.Global scale error assessments of soil moisture estimates from microwave-based active and passive satellites and land surface models over forest and mixed irrigated/dryland agriculture regions

                                       -
(Peer Reviewed Journal)Kim, H., Wigneron, J., Kumar, S., Dong, J., Wagner, W., Cosh, M.H., Bosch, D.D., Holifield Collins, C.D., Starks, P.J., Seyfried, M.S., Lakshmi, V. 2020. Global scale error assessments of soil moisture estimates from microwave-based active and passive satellites and land surface models over forest and mixed irrigated/dryland agriculture regions. Remote Sensing of Environment. 251:112052. https://doi.org/10.1016/j.rse.2020.112052.Assessing the impact of soil layer specification on the observability of modeled soil moisture and brightness temperature

                                       -
(Peer Reviewed Journal)Shelito, P., Kumar, S., Santanello, J., Lawston, P., Bolton, J., Cosh, M.H., Bosch, D.D., Holifield Collins, C.D., Livingston, S.J., Prueger, J.H., Seyfried, M.S., Starks, P.J. 2020. Assessing the impact of soil layer specification on the observability of modeled soil moisture and brightness temperature. Journal of Hydrometeorology. 21(9):2041-2060. https://doi.org/10.1175/JHM-D-19-0280.1.The backscattering contribution of soybean pods at L-band

                                       -
(Peer Reviewed Journal)Zhou, Y., Sharma, A., Kurum, M., Lang, R., O'Neil, P., Cosh, M.H. 2020. The backscattering contribution of soybean pods at L-band. Remote Sensing of Environment. 248:111977. https://doi.org/10.1016/j.rse.2020.111977.Estimating the number of reference sites necessary for the validation of global soil moisture products

                                       -
(Peer Reviewed Journal)Montzkka, C., Bogena, H., Herbst, M., Cosh, M.H., Jaghuber, T., Vereecken, H. 2020. Estimating the number of reference sites necessary for the validation of global soil moisture products. Geoscience and Remote Sensing Letters. 99:1-5. https://doi.org/10.1109/LGRS.2020.3005730.Validation practices for satellite soil moisture retrievals: What are (the) errors?

                                       -
(Peer Reviewed Journal)Gruber, A., De Lannoy, G., Albergel, C., Al-Yarri, A., Brocca, L., Calvet, J., Colliander, A., Cosh, M.H., Crow, W.T., Dorigo, W., Draper, C., Hirschi, M., Kerr, Y., Konings, A., Lahoz, W., Mccoll, K., Montzkka, C., Munoz-Sabater, J., Peng, J., Reichle, R., Richaume, P., Rudiger, C., Scanlon, T., Van Der Schalie, R., Wigneron, J. 2020. Validation practices for satellite soil moisture retrievals: What are (the) errors? Remote Sensing of Environment. 244:111806. https://doi.org/10.1016/j.rse.2020.111806.Field evaluation of portable soil moisture sensors in a sandy loam

                                          
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(Peer Reviewed Journal)Kim, H., Cosh, M.H., Bindlish, R., Lakshmi, V. 2020. Field evaluation of portable soil moisture sensors in a sandy loam. Vadose Zone Journal. 19:e20033. https://doi.org/10.1002/vzj2.20033.Comparison of microwave remote sensing and land surface modeling for surface soil moisture climatology estimation

                                       -
(Peer Reviewed Journal)Dong, J., Crow, W.T., Tobin, K., Cosh, M.H., Bosch, D.D., Starks, P.J., Seyfried, M.S., Holifield Collins, C.D. 2020. Comparison of microwave remote sensing and land surface modeling for surface soil moisture climatology estimation. Remote Sensing of Environment. 242:111756. https://doi.org/10.1016/j.rse.2020.111756.An intercomparison study of algorithms for downscaling SMAP radiometer soil moisture retrievals

                                       -
(Peer Reviewed Journal)Fang, L., Zhan, X., Yin, J., Schull, M., Walker, J., Wen, J., Cosh, M.H., Lakankar, T., Holifield Collins, C.D., Bosch, D.D., Starks, P.J., Caldwell, T. 2020. An intercomparison study of algorithms for downscaling SMAP radiometer soil moisture retrievals. Journal of Hydrometeorology. 21(8):1761-1775. https://doi.org/10.1175/JHM-D-19-0034.1.Assessment and validation of AirMOSS P-band root zone soil moisture products

                                       -
(Peer Reviewed Journal)Tabatabaeenejad, A., Chen, R., Burgin, M., Duan, X., Cuenca, R., Cosh, M.H., Scott, R.L., Moghaddam, M. 2020. Assessment and validation of AirMOSS P-band root zone soil moisture products. IEEE Transactions on Geoscience and Remote Sensing. 58(9):6181-6196. https://doi.org/10.1109/TGRS.2020.2974976.Synthetic Aperture Radar (SAR) image processing for operational space-based agriculture mapping

                                       -
(Peer Reviewed Journal)Dingle Robertson, L., Davidson, A., McNairn, H., Hosseini, M., Mitchell, S., De Abelleyra, D., Veron, S., Cosh, M.H. 2020. Synthetic Aperture Radar (SAR) image processing for operational space-based agriculture mapping. International Journal of Remote Sensing. 41(18):7112-7144. https://doi.org/10.1080/01431161.2020.1754494.L-band radar experiment and modeling of a corn canopy over a full growing season

                                       -
(Peer Reviewed Journal)Sharma, A., Lang, R., Kurum, M., O'Neill, P., Cosh, M.H. 2020. L-band radar experiment and modeling of a corn canopy over a full growing season. IEEE Transactions on Geoscience and Remote Sensing. 1-15. https://doi.org/10.1109/TGRS.2020.2971539.Multi-scale surface roughness for improved soil moisture estimation

                                       -
(Peer Reviewed Journal)Neelam, M., Colliander, A., Mohanty, B., Cosh, M.H., Misra, S., Jackson, T. 2020. Multi-scale surface roughness for improved soil moisture estimation. IEEE Transactions on Geoscience and Remote Sensing. 58(8):5264-5276. https://doi.org/10.1109/TGRS.2019.2961008.Studying soil moisture and temperature on the Tibetan Plateau: Initial results of an integrated, multiscale observatory

                                       -
(Peer Reviewed Journal)Dong, L., Tang, S., Cosh, M.H., Zhao, P., Lu, P., Zhao, K., Han, S., Min, M., Xu, N., Chen, L., Wang, F. 2020. Studying soil moisture and temperature on the Tibetan Plateau: Initial results of an integrated, multiscale observatory. IEEE Geoscience and Remote Sensing Magazine. 8(3):18-36. https://doi.org/10.1109/MGRS.2019.2924678.Effect of rainfall events on SMAP radiometer-based soil moisture accuracy using core validation sites

                                       -
(Peer Reviewed Journal)Colliander, A., Jackson, T., Berg, A., Bosch, D.D., Caldwell, T., Chan, S., Cosh, M.H., Holifield Collins, C.D., Martinez-Fernandez, J., Mcnairn, H., Prueger, J.H., Starks, P.J., Walker, J., Yueh, S. 2020. Effect of rainfall events on SMAP radiometer-based soil moisture accuracy using core validation sites. Journal of Hydrometeorology. 21:255-264.Self-correction of Soil Moisture Ocean Salinity (SMOS) soil moisture dry bias

                                       -
(Peer Reviewed Journal)Lee, J., Cosh, M.H., Starks, P.J., Toth, Z. 2019. Self-correction of Soil Moisture Ocean Salinity (SMOS) soil moisture dry bias. Canadian Journal of Remote Sensing. 45(6):814-828. https://doi.org/10.1080/07038992.2019.1700466.Improved SMAP dual-channel algorithm for the retrieval of soil moisture

                                       -
(Peer Reviewed Journal)Chaubell, J., Yueh, S., Dunbar, S., Colliander, A., Chen, F., Chan, S., Entekhabi, D., Bindlish, R., O'Neill, P., Asansuma, J., Berg, A., Bosch, D.D., Caldwell, T., Cosh, M.H., Holifield Collins, C.D., Martinez-Fernandez, J., Seyfried, M.S., Starks, P.J., Su, Z., Thibeault, M., Walker, J. 2020. Improved SMAP dual-channel algorithm for the retrieval of soil moisture. IEEE Transactions on Geoscience and Remote Sensing. 58(6):3894-3905. https://doi.org/10.1109/TGRS.2019.2959239.Seasonal evaluation of SMAP soil moisture in the U.S. corn belt

                                       -
(Peer Reviewed Journal)Walker, V., Hornbuckle, B., Cosh, M.H., Prueger, J.H. 2019. Seasonal evaluation of SMAP soil moisture in the U.S. corn belt. Remote Sensing. 11(21):248. https://doi.org/10.3390/rs11212488.Monitoring crop water content for corn and soybean fields through data fusion of MODIS and Landsat measurements in Iowa

                                       -
(Peer Reviewed Journal)Xu, C., Qu, J., Hao, X., Cosh, M.H., Zhu, Z., Gutenberg, L. 2020. Monitoring crop water content for corn and soybean fields through data fusion of MODIS and Landsat measurements in Iowa. Agricultural Water Management. 227:105844. https://doi.org/10.1016/j.agwat.2019.105844.Evaluation of SMAP freeze/thaw retrieval accuracy at core validation sites in the contiguous United States

                                       -
(Peer Reviewed Journal)Kraatz, S., Jacobs, J., Schroeder, R., Cho, E., Cosh, M.H., Seyfried, M.S., Prueger, J.H., Livingston, S.J. 2019. Evaluation of SMAP freeze/thaw retrieval accuracy at core validation sites in the contiguous United States. Remote Sensing. 10(9):1483. https://doi.org/10.3390/rs10091483.The Texas Soil Observation Network: A comprehensive soil moisture dataset for remote sensing and land surface model validation

                                       -
(Peer Reviewed Journal)Caldwell, T., Bongiovanni, T., Cosh, M.H., Jackson, T.J., Colliander, A., Abolt, C., Casteel, R., Larson, T., Scanlon, B., Young, M. 2019. The Texas Soil Observation Network: A comprehensive soil moisture dataset for remote sensing and land surface model validation. Vadose Zone Journal. 18:1. https://doi.org/10.2136/vzj2019.04.0034.Evaluation of remotely-sensed and model-based soil moisture products according to different soil type, vegetation cover and climate regime using station-based observations over Turkey

                                       -
(Peer Reviewed Journal)Bulut, B., Tugrul, Y., Afshar, M., Unal, S., Yucel, I., Cosh, M.H., Simek, O. 2019. Evaluation of remotely-sensed and model-based soil moisture products according to different soil type, vegetation cover and climate regime using station-based observations over Turkey. Remote Sensing. 11(16):1875. https://doi.org/10.3390/rs11161875.The SMAP and Copernicus Sentinel 1A/B microwave active-passive, high-resolution surface soil moisture product

                                       -
(Peer Reviewed Journal)Das, N., Entekhabi, D., Dunbar, R., Caubell, M., Colliander, A., Yueh, S., Jaghuber, T., Chen, F., Crow, W.T., O'Neil, P., Walker, J., Berg, A., Bosch, D.D., Caldwell, T., Cosh, M.H., Holifield Collins, C.D., Lopez-Baeza, E., Thibeault, M. 2019. The SMAP and Copernicus Sentinel 1A/B microwave active-passive, high-resolution surface soil moisture product. Remote Sensing of Environment. https://doi.org/10.1016/j.rse.2019.111380.Version 4 of the SMAP level-4 soil moisture algorithm and data product

                                       -
(Peer Reviewed Journal)Reichle, R., Liu, Q., Koster, R., Crow, W.T., Delannoy, G., Kimball, J., Ardizzone, J., Bosch, D.D., Colliander, A., Cosh, M.H., Kolassa, Mahanama, S., McNairn, H., Prueger, J.H., Starks, P.J., Walker, J. 2020. Version 4 of the SMAP level-4 soil moisture algorithm and data product. Journal of Advances in Modeling Earth Systems. 11:3106-3130. https://doi.org/10.1029/2019MS001729.Data-driven stochastic model for basin and sub-grid variability of SMAP satellite soil moisture

                                       -
(Peer Reviewed Journal)Jadidoleslam, N., Mantilla, R., Krajewski, W., Cosh, M.H. 2019. Data-driven stochastic model for basin and sub-grid variability of SMAP satellite soil moisture. Journal of Hydrology. 576(9):85–97. https://doi.org/10.1016/J.JHYDROL.2019.06.026.Evaluating the operational application of SMAP for global agricultural drought monitoring

                                       -
(Peer Reviewed Journal)Mladenova, I., Bolten, J., Crow, W.T., Sazib, N., Cosh, M.H., Tucker, C., Reynolds, C. 2019. Evaluating the operational application of SMAP for global agricultural drought monitoring. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 12(9):3387-3397. https://doi.org/10.1109/jstars.2019.2923555.Comparison of satellite passive microwave with modeled snow water equivalent estimates in the Red River of the North Basin

                                       -
(Peer Reviewed Journal)Schroeder, R., Jacobs, J., Cho, E., Olheiser, C., Deweese, M., Cosh, M.H., Jia, X., Vuyovich, C., Tuttle, S. 2019. Comparison of satellite passive microwave with modeled snow water equivalent estimates in the Red River of the North Basin. IEEE Journal of Selected Topics in Applied Remote Sensing. 12(9):3233-3246. https://doi.org/10.1109/JSTARS.2019.2926058.Upscaling Gross Primary Production in corn-soybean rotation systems in the Midwest

                                       -
(Peer Reviewed Journal)Dold, C., Hatfield, J.L., Prueger, J.H., Moorman, T.B., Sauer, T.J., Cosh, M.H., Drewry, D.T., Wacha, K.M. 2019. Upscaling Gross Primary Production in corn-soybean rotation systems in the Midwest. Remote Sensing. 11(14):1688. https://doi.org/10.3390/rs11141688.Satellite surface soil moisture from SMAP, SMOS, AMSR2 and ESA CCI: a comprehensive assessment using global ground-based soil moisture observations

                                       -
(Peer Reviewed Journal)Ma, H., Zeng, J., Chen, N., Zhang, X., Cosh, M.H., Wang, W. 2019. Satellite surface soil moisture from SMAP, SMOS, AMSR2 and ESA CCI: a comprehensive assessment using global ground-based soil moisture observations. Remote Sensing of Environment. 231:111215. https://doi.org/10.1016/j.rse.2019.111215.An L-band brightness temperature disaggregation method using S-band radiometer data for the Water Cycle Observation Mission (WCOM)

                                       -
(Peer Reviewed Journal)Yao, P., Shi, J., Cosh, M.H., Bindish, R., Lu, H. 2019. An L-band brightness temperature disaggregation method using S-band radiometer data for the Water Cycle Observation Mission (WCOM). IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 12(9):3184-3193. https://doi.org/10.1109/JSTARS.2019.2922780.Vegetation-soil moisture coupling metrics from dual-polarization microwave radiometry using regularization

                                       -
(Peer Reviewed Journal)Zwieback, S., Bosch, D.D., Cosh, M.H., Starks, P.J., Berg, A. 2019. Vegetation-soil moisture coupling metrics from dual-polarization microwave radiometry using regularization. Remote Sensing of Environment. https://doi.org/10.1016/j.rse.2019.111257.Uncertainty of reference pixel soil moisture averages sampled at SMAP core validation sites

                                       -
(Peer Reviewed Journal)Chen, F., Crow, W.T., Cosh, M.H., Colliander, A., Asanuma, J., Berg, A., Bosch, D.D., Caldwell, T., Holifield Collins, C.D., Martinez-Fernandez, J., Mcnairn, H., Starks, P.J., Su, Z., Walker, J. 2019. Uncertainty of reference pixel soil moisture averages sampled at SMAP core validation sites. Journal of Hydrometeorology. https://doi.org/10.1175/JHM-D-19-0049.1.Developing a coordinated national soil moisture network to integrate soil moisture data for the
United States

                                       -
()Clayton, J., Quiring, S., Ochsner, T., Cosh, M.H., Baker, B., Ford, T., Bolton, J., Woloszyn, M. 2019. Developing a coordinated national soil moisture network to integrate soil moisture data for the United States. Review Article. 100, https://doi.org/10.1029/2019EO123631.A method for assessing SMAP core validation site scaling bias using enhanced sampling and random forests

                                       -
(Proceedings)Witcomb, J., Moghaddam, M., Clewley, D., Colliander, Cosh, M.H., Powers, J., Friesen, M., Mcnaim, H., Berg, A., Bosch, D.D., Holifield Collins, C.D., Prueger, J.H., Entekhabi, D. 2019. A method for assessing SMAP core validation site scaling bias using enhanced sampling and random forests.Proceedings of the IEEE International Geoscience and Remote Sensing Symposium. Paper No. 4461.A global assessment of added value in the SMAP Level-4 soil moisture product relative to its baseline land surface model

                                       -
(Peer Reviewed Journal)Dong, J., Crow, W.T., Reichle, R., Liu, Q., Lei, F., Cosh, M.H. 2019. A global assessment of added value in the SMAP Level-4 soil moisture product relative to its baseline land surface model. Geophysical Research Letters. https://doi.org/10.1029/2019GL083398.Using dense time-series of C-Band SAR imagery for classification of diverse, worldwide agricultural systems

                                       -
(Proceedings)Dingle Robertson, L., Davidson, A., Mcnairn, H., Hosseini, M., Mitchell, S., De Abelleyra, D., Veron, S., Defourny, P., Le Maire, G., Planells, M., Valero, S., Ahmadian, N., Coffin, A.W., Bosch, D.D., Cosh, M.H., Siqueira, P., Basso, B., Saliendra, N.Z. 2019. Using dense time-series of C-Band SAR imagery for classification of diverse, worldwide agricultural systems. In: Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, Yokohama, Japan, 2019, pp. 6231-6234. https://doi.org/101109/IGARSS.2019.8898364.Assessment and combination of SMAP and Sentinel-1A/B derived soil moisture estimates with land surfacemodel outputs in the Mid-Atlantic coastal plain, U.S.A.

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(Peer Reviewed Journal)Kim, H., Lee, S., Cosh, M.H., Lakshmi, V., Kwon, Y., McCarty, G.W. 2020. Assessment and combination of SMAP and Sentinel-1A/B derived soil moisture estimates with land surfacemodel outputs in the Mid-Atlantic coastal plain, U.S.A.. IEEE Transactions on Geoscience and Remote Sensing. 59(2):991-1011. https://doi.org/doi:10.1109/TGRS.2020.2991665.Uncertainty in soil moisture retrievals: an ensemble approach using SMOS L-band microwave data

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(Peer Reviewed Journal)Quets, J., Delannoy, G., Al Yaari, A., Chan, S., Cosh, M.H., Gruber, A., Reichle, R., Van Der Schalie, R., Wigneron, J. 2019. Uncertainty in soil moisture retrievals: an ensemble approach using SMOS L-band microwave data. Remote Sensing of Environment. 229:133-147. https://doi.org/10.1016/j.rse.2019.05.008.Comparison of high-resolution airborne soil moisture retrievals to SMAP soil moisture during the SMAP validation experiment 2016 (SMAPVEX16)

                                       -
(Peer Reviewed Journal)Colliander, A., Cosh, M.H., Misra, S., Jackson, T.J., Crow, W.T., Powers, J., Mccain, H., Bullock, P., Berg, A., Magagi, R., Bindlish, R., Williamson, R., Ramos, I., Latham, B., Oneil, P., Yueh, S. 2019. Comparison of high-resolution airborne soil moisture retrievals to SMAP soil moisture during the SMAP validation experiment 2016 (SMAPVEX16). Remote Sensing of Environment. 227:137-150. https://doi.org/10.1016/j.rse.2019.04.004.Development of high resolution soil moisture validation networks in Central Iowa, USA

                                       -
(Abstract Only)Modeling soil temperature in a temperate region: A comparison between empirical and physically based methods

                                       -
(Peer Reviewed Journal)Qi, J., Zhang, X., Cosh, M.H. 2019. Modeling soil temperature in a temperate region: A comparison between empirical and physically based methods. Ecological Engineering. 129(4):134-143. https://doi.org/10.1016/j.ecoleng.2019.01.017.Estimating vegetation water content during the Soil Moisture Active Passive Validation Experiment in 2016

                                       -
(Peer Reviewed Journal)Cosh, M.H., White, W.A., Colliander, A., Jackson, T.J., Prueger, J.H., Hornbudde, B., Hunt Jr, E.R., McNairn, H., Powres, J., Walker, V. 2019. Estimating vegetation water content during the Soil Moisture Active Passive Validation Experiment in 2016. Journal of Applied Remote Sensing (JARS). 13(1):014516. https://doi.org/10.1117/1.JRS.13.014516.Investigating the SMOS dry bias in the corn belt of the United States

                                       -
(Peer Reviewed Journal)Walker, V., Hornbuckle, B., Cosh, M.H. 2018. Investigating the SMOS dry bias in the corn belt of the United States. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 11(12):4664-4675. https://doi.org/10.1109/JSTARS.2018.2864897.Assessing SMAP soil moisture scaling and retrieval in the Carman (Canada) study site

                                       -
(Peer Reviewed Journal)Bhuiyan, H., McNairn, H., Powers, J., Friesen, M., Pacheco, A., Jackson, T.J., Cosh, M.H., Colliander, A., Berg, A., Rowlandson, T., Magagi, R. 2018. Assessing SMAP soil moisture scaling and retrieval in the Carman (Canada) study site. Vadose Zone Journal. 17(1). https://doi.org/10.2136/vzj2018.07.0132.Integration of a physically-based soil moisture module into SWAT to improve hydrology model structure

                                       -
(Peer Reviewed Journal)Qi, J., Zhang, X., McCarty, G.W., Sadeghi, A.M., Cosh, M.H., Zeng, X., Gao, F.N., Daughtry, C.S., Haung, C., Lang, M., Arnold, J.G. 2018. Integration of a physically-based soil moisture module into SWAT to improve hydrology model structure. Environmental Modelling & Software. https://doi.org/10.1016/j.envsoft.2018.08.024.Estimating time-dependent vegetation biases in the SMAP soil moisture product

                                       -
(Peer Reviewed Journal)Zwieback, S., Colliander, A., Cosh, M.H., Martinez, F., McNairn, H., Starks, P.J., Thibeault, M., Berg, A. 2018. Estimating time-dependent vegetation biases in the SMAP soil moisture product. Hydrology and Earth System Sciences. 22(8):4473-4489. https://doi.org/10.5194/hess-22-4473-2018.The SMAP mission combined active-passive soil moisture product at 9km and 3km spatial resolutions

                                       -
(Peer Reviewed Journal)Das, N., Entekhabi, D., Dunbar, R., Colliander, A., Chen, F., Crow, W.T., Jackson, T.J., Berg, A., Bosch, D.D., Caldwell, T., Cosh, M.H., Holifield Collins, C.D., Lopez-Baeza, E. 2018. The SMAP mission combined active-passive soil moisture product at 9 km and 3km spatial resolutions. Remote Sensing of Environment. 211:204-217. https://doi.org/10.1016/j.rse.2018.04.011.Downscaling of surface soil moisture retrieval by combining MODIS/Landsat and in situ measurements

                                       -
(Peer Reviewed Journal)Xu, C., Qu, J., Hao, Cosh, M.H., Prueger, J.H., Zhu, Z., Gutenberg, L. 2018. Downscaling of surface soil moisture retrieval by combining MODIS/Landsat and in situ measurements. Remote Sensing. 10(2):210. https://doi.org/10.3390/rs10020210.An assessment of the differences between spatial resolution and grid size for the SMAP enhanced soil moisture product over homogeneous sites

                                          
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(Peer Reviewed Journal)Colliander, A., Jackson, T.J., Chan, S., O'Neill, P., Bindlish, R., Cosh, M.H., Caldwell, T., Walker, J., Berg, A., McNairn, H., Thibeault, M., Martinez-Fernandez, J., Jensen, K., Asanuma, J., Seyfried, M.S., Bosch, D.D., Starks, P., Holifield Collins, C.D., Prueger, J.H., Su, Z., Lopez-Beeza, E., Yeuh, S. 2018. An assessment of the differences between spatial resolution and grid size for the SMAP enhanced soil moisture product over homogeneous sites. Remote Sensing of Environment. 207:65-70.Field and laboratory evaluation of the CS655 soil water content sensor

                                       -
(Peer Reviewed Journal)Caldwell, T., Bongiovanni, T., Cosh, M.H., Halley, C., Young, M. 2018. Field and laboratory evaluation of the CS655 soil water content sensor. Vadose Zone Journal. 17:170214. https://doi.org/10.2136/vzj2017.12.0214.Vegetation water content of crops and woodlands for improving soil moisture retrievals from Coriolis WindSat

                                       -
(Peer Reviewed Journal)Hunt Jr, E.R., Li, L., Friedman, J.M., Gaiser, P., Twarog, E., Cosh, M.H. 2018. Vegetation water content of crops and woodlands for improving soil moisture retrievals from Coriolis WindSat. Remote Sensing. 10:273. https://doi.org/10.3390/rs10020273.Global-scale assessment and combination of SMAP with ASCAT (Active) and AMSR2 (Passive) soil moisture products

                                       -
(Peer Reviewed Journal)Kim, H., Parinussa, R., Konings, A., Wagner, W., Cosh, M.H., Lakshmi, V., Zohaib, M., Choi, M. 2018. Global-scale assessment and combination of SMAP with ASCAT (Active) and AMSR2 (Passive) soil moisture products. Remote Sensing of Environment. 204:260-275. https://doi.org/10.1016/j.rse.2017.10.026.Temporal transferability of soil moisture calibration equations

                                       -
(Peer Reviewed Journal)Rowlandson, T., Berg, A., Bullock, P., Hanis-Gervais, K., Ojo, E., Cosh, M.H., Powers, J., McNairn, H. 2018. Temporal transferability of soil moisture calibration equations. Journal of Hydrology. 556:349-358. https://doi.org/10.1016/j.jhydrol.2017.11.023.Estimating surface soil moisture from SMAP observations using a neural network technique

                                       -
(Peer Reviewed Journal)Kolassa, J., Reichle, R., Lui, Q., Alemohammad, S., Gentine, P., Aida, K., Asanuma, J., Bircher, S., Caldwell, T., Colliander, A., Cosh, M.H., Holifield Collins, C.D., Jackson, T.J., Jensen, K., Martinez-Fernandez, J., Mcnairn, H., Pacheco, A., Thibeault, M., Walker, J. 2018. Estimating surface soil moisture from SMAP observations using a neural network technique. Remote Sensing of Environment. 204:43-59. https://doi.org/10.1016/j.rse.2017.10.045.Multi-time scale analysis of the spatial representativeness of in situ soil moisture data within satellite footprints

                                       -
(Peer Reviewed Journal)Molero, B., Leroux, D., Richaume, P., Kerr, Y., Merlin, O., Cosh, M.H., Bindlish, R. 2018. Multi-time scale analysis of the spatial representativeness of in situ soil moisture data within satellite footprints. Journal of Geophysical Research. 123(1):3-21. https://doi.org/10.1002/2017JD027478.Assessment of the SMAP Level-4 surface and root-zone soil moisture product using in situ measurements

                                          
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(Peer Reviewed Journal)Reichle, R., De Lannoy, G., Liu, Q., Ardizonne, J., Colliander, A., Conaty, A., Crow, W.T., Jackson, T.J., Jones, L., Kimball, J., Koster, R., Mahanama, S., Smith, E., Berg, A., Bircher, S., Bosch, D.D., Caldwell, T., Cosh, M.H., Gonzalez-Zanora, A., Holifield Collins, C.D., Livingston, S.J., Lopez-Baeza, E., Martinez-Fernandez, J., McNairn, H., Moghaddam, M., Pacheco, A., Pellarin, T., Prueger, J.H., Rowlandson, T., Seyfried, M.S., Starks, P.J., Su, Z., Thibeault, M., Uldall, F., van der Velde, R., Walker, J., Wu, X., Zeng, Y. 2017. Assessment of the SMAP Level-4 surface and root-zone soil moisture product using in situ measurements. Journal of Hydrometeorology. 18(10):2621-2645. https://doi.org/10.1175/JHM-D-17-0063.1.GCOM-W AMSR2 soil moisture product validation using core validation sites

                                       -
(Peer Reviewed Journal)Bindlish, R., Cosh, M.H., Jackson, T.J., Koike, T., Fuiji, X., De Jeu,, R., Chan, S., Asanuma, J., Berg, A., Bosch, D.D., Caldwell, T., Holifield Collins, C.D., McNairn, H., Martinez-Fernandez, J., Prueger, J.H., Rowlandson, T., Seyfried, M.S., Starks, P.J., Su, Z., Thibeault, M., van der Velde, R., Walker, J., Coopersmith, E. 2018. GCOM-W AMSR2 soil moisture product validation using core validation sites. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 11(1):209-219. https://doi.org/10.1109/JSTARS.2017.2754293.Data assimilation to extract soil moisture information from SMAP observations

                                       -
(Peer Reviewed Journal)Kolassa, J., Reichle, R., Liu, Q., Cosh, M.H., Bosch, D.D., Caldwell, T., Colliander, A., Holifield Collins, C.D., Jackson, T.J., Livingston, S.J., Moghaddam, M., Starks, P.J. 2017. Data assimilation to extract soil moisture information from SMAP observations. Remote Sensing. 9(11):1179. https://doi.org/10.3390/rs9111179.Soil moisture monitoring with long term in situ sensors: Lessons from MOISST

                                       -
(Abstract Only)Cosh, M.H., Ochsner, T., Mckee, L.G., Coopersmith, E., Dong, G., Small, E., Zreda, M., Qu, J. 2017. Soil moisture monitoring with long term in situ sensors: Lessons from MOISST. American Geophysical Union. Abstract No. H51E-0624.Toward the development of protocols for soil moisture measurement and monitoring

                                       -
(Abstract Only)Cosh, M.H., Berg, A., Bindlish, R., Caldwell, T., Colliander, A., Jackson, T.J., Ochsner, T., Qu, J.J., Quiring, S.M. 2017. Toward the development of protocols for soil moisture measurement and monitoring [abstract]. 32nd Conference on Hydrology. Paper No. J39.5. Available: https://ams.confex.com/ams/98Annual/webprogram/Paper335900.html.Vegetation water content mapping for agricultural regions in SMAPVEX16

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(Abstract Only)White, W.A., Cosh, M.H., Mckee, L.G., Berg, A., Mcnairn, H., Hornbuckle, B., Colliander, A., Jackson, T.J. 2017. Vegetation water content mapping for agricultural regions in SMAPVEX16. American Geophysical Union. Abstract No. H51E-0634.L-band brightness temperature disaggregation for use with S-band and C-band radiometer data for WCOM

                                       -
(Abstract Only)Yao, P., Shi, J., Zhao, T., Cosh, M.H., Bindlish, R. 2017. L-band brightness temperature disaggregation for use with S-band and C-band radiometer data for WCOM. American Geophysical Union. Abstract No. H53J-2089.Validation of the GCOM-W SCA and JAXA soil moisture algorithms

                                       -
(Abstract Only)Jackson, T.J., Bindlish, R., Cosh, M.H., Coopersmith, E. 2017. Validation of the GCOM-W SCA and JAXA soil moisture algorithms. Meeting Abstract.  CDROM.Development and assessment of the SMAP enhanced passive soil moisture product

                                          
                                       -
(Peer Reviewed Journal)Chan, S., Bindlish, R., O'Neill, P., Jackson, T.J., Njoku, E., Dunbar, R., Chaubell, J., Peipmeier, J., Yueh, S., Entekhabi, D., Colliander, A., Chen, F., Cosh, M.H., Caldwell, T., Walker, J., Berg, A., McNairn, H., Thibeault, M., Martinez-Fernandez, J., Udall, F., Seyfried, M.S., Bosch, D.D., Starks, P.J., Holifield Collins, C.D., Prueger, J.H., Crow, W.T. 2018. Development and assessment of the SMAP enhanced passive soil moisture product. Remote Sensing of Environment. 204:931-941. https://doi.org/10.1016/j.rse.2017.08.025.Ongoing research at the Marena Oklahoma In Situ Sensor Testbed (MOISST)

                                       -
(Abstract Only)Cosh, M.H., Ochsner, T. 2017. Ongoing research at the Marena Oklahoma In Situ Sensor Testbed (MOISST)[abstract]. Satellite Soil Moisture Validation and Application Workshop. September 18-20, 2017. Vienna, Austria. p. 19. Available: http://smw.geo.tuwien.ac.at/fileadmin/editors/SMworkshop/CCI_SM_Abstract_Booklet.pdf.Vegetation water content of crops and woodlands for improving soil moisture retrievals from Coriolis WindSat

                                       -
(Abstract Only)Hunt Jr, E.R., Friedman, J.M., Cosh, M.H., Li, L., Gaiser, P., Twarog, E. 2017. Vegetation water content of crops and woodlands for improving soil moisture retrievals from Coriolis WindSat. Meeting Abstract. https://ieeexplore.ieee.org/document/8047025.Joint Sentinel-1 and SMAP data assimilation to improve soil moisture estimates

                                       -
(Peer Reviewed Journal)Lievens, H., Reichle, R., Liu, Q., De Lannoy, Dunbar, R., Kim, S., Das, N., Cosh, M.H., Walker, J., Wagner, W. 2018. Joint Sentinel-1 and SMAP data assimilation to improve soil moisture estimates. Geophysical Research Letters. 44(12):6145-6153. https://doi.org/10.1002/2017GL073904.Long term time series analysis of co-incident soil water content sensor at the Marena Oklahoma In Situ Sensor Testbed

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(Abstract Only)Cosh, M.H., Ochsner, Tyson, McKee, L.G., Coopersmith, E., Dong, Geano, Evett, S.R., Sayde, Chadi, Small, Eric, Steele-Dunne, Susan, Zreda, Marek. 2017. Long term time series analysis of co-incident soil water content sensor at the Marena Oklahoma In Situ Sensor Testbed [abstract]. ASA-CSSA-SSSA Annual Meeting Abstracts. Paper No. 106020. Available: https://scisoc.confex.com/crops/2017am/webprogram/Paper106020.html.Combined radar-radiometer surface soil moisture and roughness estimation

                                       -
(Peer Reviewed Journal)Akbar, R., Cosh, M.H., O'Neill, P., Entekhabi, D., Moghaddam, M. 2017. Combined radar-radiometer surface soil moisture and roughness estimation. IEEE Transactions on Geoscience and Remote Sensing. 55(7):4098-4110. https://doi.org/10.1109/TGRS.2017.2688403.Validation of new SMAPsoil moisture products

                                       -
(Abstract Only)Jackson, T.J., Colliander, A., Bindlish, R., Chan, S., O’Neill, Peggy .E., Das, N., Entekhabi, D., Yueh, S., Cosh, M.H. 2017. Validation of new SMAPsoil moisture products [abstract]. 4th Satellite Soil Moisture Validation and Application Workshop. September 19-20, 2017. Vienna, Austria. Available: http://smw.geo.tuwien.ac.at/fileadmin/editors/SMworkshop/CCI_SM_Abstract_Booklet.pdf.Nonparametric triple collocation

                                       -
(Peer Reviewed Journal)Nearing, G., Yatheendrades, S., Crow, W.T., Bosch, D.D., Cosh, M.H., Goodrich, D.C., Seyfried, M.S., Starks, P.J. 2017. Nonparametric triple collocation. Water Research. 53(7):5516-5530. https://doi.org/10.1002/2017WR020359.Validation and scaling of soil moisture in a semi-arid environment: SMAP Validation Experiment 2015 (SMAPVEX15)

                                       -
(Peer Reviewed Journal)Colliander, A., Cosh, M.H., Misra, S., Jackson, T.J., Crow, W.T., Chan, S., Bindlish, R., Chae, C., Holifield Collins, C.D., Yueh, S. 2017. Validation and scaling of soil moisture in a semi-arid environment: SMAP Validation Experiment 2015 (SMAPVEX15). Remote Sensing of Environment. 196:101-112.Using a soil moisture and precipitation network for satellite validation

                                       -
(Abstract Only)Coopersmith, E.J., Cosh, M.H. 2015. Using a soil moisture and precipitation network for satellite validation. BARC Poster Day.  Abs. 10, BARC Poster Day.Strategies for validating satellite soil moisture products using in situ networks: Lessons from the USDA-ARS watersheds

                                       -
(Abstract Only)Cosh, M.H., Jackson, T.J., Starks, P.J., Bosch, D.D., Holifield Collins, C.D., Seyfried, M.S., Prueger, J.H., Livingston, S.J., Bindlish, R. 2017. Strategies for validating satellite soil moisture products using in situ networks: Lessons from the USDA-ARS watersheds [abstract]. IEEE IGARSS Annual Proceedings. https://doi.org/10.1109/IGARSS.2017.8127377.Validation of SMAP soil moisture for the SMAPVEX15 field campaign using a hyper-resolution model

                                       -
(Peer Reviewed Journal)Cai, X., Pan, M., Chaney, N., Colliander, A., Misra, S., Cosh, M.H., Crow, W.T., Jackson, T.J., Woodd, E. 2017. Validation of SMAP soil moisture for the SMAPVEX15 field campaign using a hyper-resolution model. Water Resources Research. 53(4):3013-3028.Relating coccidioidomycosis (Valley Fever) incidence via to soil moisture conditions

                                       -
(Peer Reviewed Journal)Coopersmith, E., Bell, J., Benedict, K., Schriber, J., Mccotter, O., Cosh, M.H. 2017. Relating coccidioidomycosis (Valley Fever) incidence via to soil moisture conditions. American Geophysical Union. https://doi.org/10.1002/2016GH000033.Soil moisture remote sensing: State of the science

                                       -
()Mohanty, B., Cosh, M.H., Lakshmi, V., Montzkka, C. 2017. Soil moisture remote sensing: State of the science. Vadose Zone Journal. doi:10.2136/vzj2016.10.0105.Soil moisture retrieval in forest biomes: field experiment focus for SMAP 2018-2020 and beyond

                                       -
(Abstract Only)SMAP radiometer-based soil moisture products status and validation

                                       -
(Abstract Only)Jackson, T.J., Bindlish, R., Chan, S., O'Neill, P., Colliander, A., Chen, F., Crow, W.T., Cosh, M.H. 2017. SMAP radiometer-based soil moisture products status and validation. European Geosciences Union General Assembly Proceedings. CDROM.Validation of SMAP surface soil moisture products with core validation sites

                                          
                                       -
(Peer Reviewed Journal)Colliander, A., Jackson, T.J., Bindlish, R., Chan, S., Das, N., Kim, S., Cosh, M.H., Dunbar, R., Dang, L., Pashaian, L., Asanuma, J., Aida, K., Berg, A., Rowlandson, T., Bosch, D.D., Caldwell, T., Caylor, K., Goodrich, D.C., Jassar, H., Lopez-Baeza, E., Martinez-Fernandez, J., Gonzalez-Zamora, Livingston, M.S., McNairn, H., Pacheco, A., Moghaddam, M.,  Montzka, C., Notarnicola, C., Niedrist, G., Pellarin, T., Prueger, J.H., Pulliainen, J., Rautiainen, K., Ramo, J., Seyfried, M.S., Starks, P.J., Su, Z., Zeng, Y., Velde, R., Thibeault, M., Dorigo, W., Vreugdenhil, M., Walker, J., Wu, X., Monerris, A., O'Neill, P., Entekhabi, D., Njoku, E., Yueh, S. 2017. Validation of SMAP surface soil moisture products with core validation sites. Remote Sensing of Environment. 192:238-262.Using machine learning to produce near surface soil moisture estimates from deeper in situ records at U.S. Climate Reference Network (USCRN) locations: Analysis and applications to AMSR-E satellite validation

                                       -
(Peer Reviewed Journal)Coopersmith, E., Cosh, M.H., Bell, J., Boyles, R. 2016. Using machine learning to produce near surface soil moisture estimates from deeper in situ records at U.S. Climate Reference Network (USCRN) locations: Analysis and applications to AMSR-E satellite validation. Advances in Water Resources. 98:122-131.Strengths and weaknesses of temporal stability analysis for monitoring and estimating grid-mean soil moisture in a high-intensity irrigated agricultural landscape

                                       -
(Peer Reviewed Journal)Ran, Y., Li, X., Jin, R., Kang, J., Cosh, M.H. 2016. Strengths and weaknesses of temporal stability analysis for monitoring and estimating grid-mean soil moisture in a high-intensity irrigated agricultural landscape. Water Resources Research. 53(1):283-301. doi:10.1002/2015/RWR018182.Mapping high-resolution soil moisture and properties using distributed temperature sensing data and an adaptive particle batch smoother

                                       -
(Peer Reviewed Journal)Dong, J., Steele-Dunne, S., Ochsner, T., Hatch, C., Sayde, C., Selker, J., Tyler, S., Cosh, M.H., Van De Giesen, N. 2016. Mapping high-resolution soil moisture and properties using distributed temperature sensing data and an adaptive particle batch smoother. Water Resources Research.  52(10):7690-7710.Surface soil moisture retrieval using the L-band synthetic aperture radar onboard the Soil Moisture Active Passive satellite and evaluation at core validation sites

                                          
                                       -
(Peer Reviewed Journal)Kim, S., Van Zyl, J., Johnson, J., Moghaddam, M., Tsang, L., Colliander, A., Dunbar, R., Jackson, T.J., Jarauwatanadilok, S., West, R., Berg, A., Caldwell, T., Cosh, M.H., Goodrich, D.C., Livingston, S.J., Lopez, B., Rowlandson, T., Thibeault, M., Walker, J., Entekhabi, D., Njoku, E., O'Neill, P., Yueh, S. 2017. Surface soil moisture retrieval using the L-band synthetic aperture radar onboard the Soil Moisture Active Passive satellite and evaluation at core validation sites. IEEE Transactions on Geoscience and Remote Sensing. 55(4):1897-1914.Deploying temporary networks for upscaling of sparse network stations

                                       -
(Peer Reviewed Journal)Coopersmith, E., Cosh, M.H., Bell, J., Kelly, V., Hall, M., Palecki, M., Temimi, M. 2016. Deploying temporary networks for upscaling of sparse network stations. International Journal of Applied Earth Observation and Geoinformation. 52:433-444.Remote sensing of drivers of spring snowmelt flooding in the North Central US

                                       -
()Tuttle, S., Cho, E., Restrepo, P., Jia, X., Vuyovich, C., Cosh, M.H., Jacobs, J. 2016. Remote sensing of drivers of spring snowmelt flooding in the North Central US. In: Lakshmi, V., editor. Remote Sensing of Hydrological Extremes. Switzerland: Springer International Publishing. p. 21-45.Early Results of the Soil Moisture Active Passive Validation Experiment in 2016 (SMAPVEX16)-Iowa

                                       -
(Abstract Only)Cosh, M.H., Jackson, T.J., Colliander, A., Prueger, J.H., Hatfield, J.L., Hornbuckle, B., Judge, J., Misra, S., Bindlish, R., Krajewski, Witold, Qu, J.J., Franz, Trenton. 2016. Early Results of the Soil Moisture Active Passive Validation Experiment in 2016 (SMAPVEX16)-Iowa [abstract]. ASA-CSSA-SSSA Annual Meeting Abstracts. Paper No. 204-3. Available: https://dl.sciencesocieties.org/publications/meetings/2016am/16214/102379.Analysis of in situ resources of for the Soil Moisture Active Passive Validation Experiments in 2015 and 2016

                                       -
(Abstract Only)Cosh, M.H., Jackson, T.J., Colliander, A., Bindlish, R., Mckee, L.G., Goodrich, D.C., Prueger, J.H., Hornbuckle, B., Coopersmith, E., Holifield Collins, C.D., Smith, J.R. 2016. Analysis of in situ resources of for the Soil Moisture Active Passive Validation Experiments in 2015 and 2016. American Geophysical Union.  Abs. EP43E-03..Calibration of Noah soil hydraulic property parameters using surface soil moisture from SMOS and basin-wide in situ observations

                                       -
(Peer Reviewed Journal)Shelitto, P., Small, E., Cosh, M.H. 2016. Calibration of Noah soil hydraulic property parameters using surface soil moisture from SMOS and basin-wide in situ observations. Journal of Hydrometeorology. doi:10.1175/JHM-D-15-0153.1.Comparison Of In Situ Soil Moisture Measurements: An Examination of the Neutron and Dielectric Measurements within the Illinois Climate Network

                                       -
(Peer Reviewed Journal)Coopersmith, E.J., Cosh, M.H., Jacobs, J. 2016. Comparison Of In Situ Soil Moisture Measurements: An Examination of the Neutron and Dielectric Measurements within the Illinois Climate Network. Journal of Atmospheric and Ocean Technology. doi:10.1175/JTECH-D-16-0029.1.Downscaled soil moisture from SMAP evaluated using high density observations

                                       -
(Abstract Only)Wakefield, R., Basara, J.B., Fang, B., Lakshmi, V., Starks, P.J., Cosh, M.H., Steiner, J.L., Xiao, X. 2016. Downscaled soil moisture from SMAP evaluated using high density observations [abstract] American Geophysical Union, December 12-16, 2016, San Francisco, California. Available: https://agu.confex.com/agu/fm16/meetingapp.cgi/Paper/136919.SMAP soil moisture drying more rapid than observed in situ following rainfall events

                                       -
(Peer Reviewed Journal)Shellito, P., Small, E., Colliander, A., Bindlish, R., Cosh, M.H., Berg, A., Bosch, D.D., Caldwell, T., Goodrich, D.C., Lopez-Baeza, E., McNairn, H., Prueger, J.H., Starks, P.J. 2016. SMAP soil moisture drying more rapid than observed in situ following rainfall events. Geophysical Research Letters. 43(15):8068-8075.Assimilation of gridded GRACE terrestrial water storage estimates in the North American Land Data Assimilation System

                                       -
(Peer Reviewed Journal)Kumar, S., Zaitchik, B., Peters-Lidard, C., Rodell, M., Reichle, R., Li, B., Jasinski, M., Mocko, D., Getirana, A., De Lannoy, G., Cosh, M.H., Hain, C., Anderson, M.C. 2016. Assimilation of gridded GRACE terrestrial water storage estimates in the North American Land Data Assimilation System. Journal of Hydrometeorology. 17(7):1951-1972. doi:10.1175/jhm-d-15-0157.1.Application of triple collocation in ground-based validation of soil moisture active/passive (SMAP) level 2 data products

                                       -
(Peer Reviewed Journal)Chen, F., Crow, W.T., Colliander, A., Cosh, M.H., Jackson, T.J., Bindlish, R., Reichle, R., Chan, S., Starks, P.J., Goodrich, D.C., Seyfried, M.S. 2016. Application of triple collocation in ground-based validation of soil moisture active/passive (SMAP) level 2 data products. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 99:1-14.SMOS disaggregated soil moisture product at 1 km resolution: processor overview and first validation results

                                       -
(Peer Reviewed Journal)Molero, B., Merlin, O., Malbeteau, Y., Al Bitar, A., Cabot, F., Stefan, V., Kerr, Y., Bacon, S., Cosh, M.H., Bindlish, R., Jackson, T.J. 2016. SMOS disaggregated soil moisture product at 1 km resolution: processor overview and first validation results. Remote Sensing of Environment. 180:361-376. doi:10.1016/j.rse.2016.02.045Retrieving soil moisture for non-forested areas using PALS radiometer measurements in SMAPVEX12 field campaign

                                          
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(Peer Reviewed Journal)Colliander, A., Njoku, E., Jackson, T.J., Chazanoff, S., Mcnairn, H., Powers, J., Cosh, M.H. 2016. Retrieving soil moisture for non-forested areas using PALS radiometer measurements in SMAPVEX12 field campaign. Remote Sensing of Environment. 184:086-100.Evaluation of the validated soil moisture product from the SMAP radiometer

                                       -
(Abstract Only)O’Neill, Peggy .E., Chan, S., Colliander, A., Dunbar, R.S., Njoku, E., Bindlish, R., Chen, F., Jackson, T.J., Bindlish, R., Peipmeier, J, Yueh, S., Entekhabi, D., Cosh, M.H. 2016. Evaluation of the validated soil moisture product from the SMAP radiometer IEEE Geoscience and Remote Sensing Symposium (IGARSS) 2016  APP:1/15/2016  SUBMIT:1/16/2016  PUB:7/18/2016 CDROMAssessment of the SMAP level 2 passive soil moisture product

                                       -
(Peer Reviewed Journal)Chan, S., Bindlish, R., O'Neill, P., Njoku, E., Jackson, T.J., Colliander, A., Chen, F., Burgin, M., Dunbar, R., Peipmeier, J., Yueh, S., Entekhabi, D., Cosh, M.H., Caldwell, T., Walker, J., Wu, X., Berg, A., Rowlandson, T., Pacheco, A., McNairn, H., Thibeault, M., Martinez-Fernandez, J., Gonzalez-Zamora, A., Seyfried, M.S., Bosch, D.D., Starks, P.J., Goodrich, D.C., Prueger, J.H., Palecki, M., Small, E., Zreda, M., Calvet, J., Crow, W.T., Kerr, Y. 2016. Assessment of the SMAP level 2 passive soil moisture product. IEEE Transactions on Geoscience and Remote Sensing. 54(8):1-14. doi:10.1109/TGRS.2016.2561938.A time-series approach to estimating soil moisture from vegetated surfaces using L-band radar backscatter

                                       -
(Peer Reviewed Journal)Ouellette, J., Johnson, J., Balenzano, A., Mattia, F., Satalinio, G., Kim, S., Dunbar, R., Colliander, A., Cosh, M.H., Caldwell, T., Walker, J., Berg, A. 2017. A time-series approach to estimating soil moisture from vegetated surfaces using L-band radar backscatter. IEEE Transactions on Geoscience and Remote Sensing. 99:1-8The Soil Moisture Active Passive Marena Oklahoma In Situ Sensor Testbed (SMAP-MOISST): Design and initial results

                                       -
(Peer Reviewed Journal)Cosh, M.H., Ochsner, T., Mckee, L.G., Dong, G., Basara, J., Evett, S.R., Hatch, C., Small, E., Steele-Dunne, S., Zreda, M., Sayde, C. 2016. The Soil Moisture Active Passive Marena Oklahoma In Situ Sensor Testbed (SMAP-MOISST): Design and initial results. Vadose Zone Journal. 15(4). doi: 10.2136/vzj2015.09.0122.SMAP and SMOS soil moisture validation

                                       -
(Abstract Only)Jackson, T.J., Kerr, Y., Colliander, A., Bindlish, R., Cosh, M.H., Burgin, M., Crow, W.T., Chen, F. 2016. SMAP and SMOS soil moisture validation. Meeting Abstract. CD-ROM.Satellite-based soil moisture validation and field experiments; Skylab to SMAP

                                       -
(Abstract Only)Jackson, T.J., Wigneron, J., Kerr, Y., Cosh, M.H., Colliander, A., Walker, J., Bindlish, R. 2016. Satellite-based soil moisture validation and field experiments; Skylab to SMAP. Meeting Abstract. CDROM.The Lower Chesapeake Bay LTAR: A coastal urban-agricultural region

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(Abstract Only)Mccarty, G.W., Alfieri, J.G., Cavigelli, M.A., Cosh, M.H., Hapeman, C.J., Kustas, W.P., Maul, J.E., Mirsky, S.B., Pooler, M.R., Sadeghi, A.M., Schomberg, H.H., Timlin, D.J. 2015. The Lower Chesapeake Bay LTAR: A coastal urban-agricultural region. Geological Society of America Meeting. CDROM.Parametric exponentially correlated surface emission model for L-band passive microwave soil moisture retrieval

                                       -
(Peer Reviewed Journal)Zhao, T., Shi, J., Bindlish, R., Jackson, T.J., Cosh, M.H., Lingmei, J., Zhongjun, Z., Huimin, L. 2015. Parametric exponentially correlated surface emission model for L-band passive microwave soil moisture retrieval. Physics and Chemistry of the Earth. 83-84:65-74.SMAP L2/L3 Soil moisture product validation with core validation sites

                                       -
(Abstract Only)Jackson, T.J., Colliander, Andreas, Chan, S., Das, N., Kim, S., Dunbar, R.S., Bindlish, R., Berg, A., Rowlandson, Tracy, Caylor, K., Cosh, M.H., al Jassar, H., Lopez-Baeza, E., Martinez-Fernandez, J., McNairn, H., Pacheco, A., Moghaddam, M., Montzkka, C., Notarnicola, C., Pellarin, T., Rautiainen, K., Ramos, J., Seyfried, M.S., Su, Z., Walker, J. 2015. SMAP L2/L3 Soil Moisture Product Validation with Core Validation Sites  American Meteorology Society Conference on Hydrology. January 10-14, 2015, New Orleans, LA. 2016 CDROMGCOM-W soil moisture and temperature algorithms and validation

                                       -
(Abstract Only)Jackson, T.J., Bindlish, R., Holmes, T., Cosh, M.H., Chen, F., Crow, W.T. 2016. GCOM-W Soil Moisture and Temperature Algorithms and Validation. Global Climate Observing Mission Principal Investigators Workshop. January 18-22, 2016, Tokyo, Japan. 2016 CDROMMulti-profile analysis of soil moisture within the U.S. Climate Reference Network

                                       -
(Peer Reviewed Journal)Coopersmith, E.J., Cosh, M.H., Bell, J., Crow, W.T. 2016. Multi-profile analysis of soil moisture within the U.S. Climate Reference Network. Vadose Zone Journal. 15(1). doi: 10.2136/vzj2015.01.0016.Soil heat flux calculation for sunlit and shaded surfaces under row crops: 2. Model Test

                                          
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(Peer Reviewed Journal)Colaizzi, P.D., Evett, S.R., Schwartz, R.C., Kustas, W.P., Cosh, M.H., Mckee, L.G. 2015. Soil heat flux calculation for sunlit and shaded surfaces under row crops: 2. Model Test. Agricultural and Forest Meteorology. 216(129):129-140. doi:10.1016/j.agrformet.2015.10.009.Validation of the Soil Moisture Active Passive mission using USDA-ARS experimental watersheds

                                       -
(Abstract Only)Cosh, M.H., Jackson, T.J., Bindlish, R., Colliander, Andreas, Kim, S., Das, N., Yueh, S., Bosch, D.D., Goodrich, D.C., Prueger, J.H., Starks, P., Livingston, S., Seyfried, M.S., Coopersmith, E. 2015. Validation of the Soil Moisture Active Passive mission using USDA-ARS experimental watersheds. American Geophysical Union Fall Meeting. December 14-18, 2015, San Francisco, CA. Abstract #H13K-1728.Early results of the Soil Moisture Active Passive Validation Experiment (SMAPVEX15)

                                       -
(Abstract Only)Cosh, M.H., Jackson, T.J., Colliander, Andreas, Goodrich, D.C., Holifield Collins, C., McKee, L.G., Kim, S., Yueh, S. 2016. Early results of the Soil Moisture Active Passive Validation Experiment (SMAPVEX15). American Geophysical Union Fall Meeting. December 14-18, 2015, San Francisco, CA. Abstract # H54B-07.Comparing AMSR-E soil moisture estimates to the extended record of the U.S. Climate Reference Network (USCRN)

                                       -
(Peer Reviewed Journal)Coopersmith, E.J., Cosh, M.H., Bindlish, R., Bell, J. 2015. Comparing AMSR-E soil moisture estimates to the extended record of the U.S. Climate Reference Network (USCRN). Advances in Water Resources. 85:79-85. doi: 10.1016/j.advwatres.2015.09.003.Scaling an in situ network for high resolution modeling during SMAPVEX15

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(Abstract Only)Coopersmith, E., Cosh, M.H., Jacobs, J., Jackson, T.J., Crow, W.T., Holifield-Collins, C., Goodrich, D.C., Colliander, A. 2016. Scaling an in situ network for high resolution modeling during SMAPVEX15. American Geophysical Union Fall Meeting, December 14-18, 2015, San Francisco, CA. Abstract # H51I-1506.Initial validation of the Soil Moisture Active Passive mission using USDA-ARS watersheds

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(Abstract Only)Cosh, M.H., Jackson, T.J., Bindlish, R., Colliander, Andreas, McKee, L.G., Starks, P., Seyfried, M.S., Prueger, J.H., Livingston, S., Goodrich, D.C., Bosch, D.D., Coopersmith, E., Hornbuckle, B., Chan, S., Kim, S., Das, N., Yueh, S. 2015. Initial validation of the Soil Moisture Active Passive mission using USDA-ARS watersheds SSSA-ASA-CSSA Annual Meeting 2015. November 15-18, 2015, Minneapolis, MN. Abstract #403-3.SMAP Validation and Accuracy Assessment of Soil Moisture Products

                                       -
(Abstract Only)Jackson, T.J., Colliander, A., Bindlish, R., Cosh, M.H., Chan, S., Entekhabi, D., Yueh, S., Das, N., Kim, S. 2015. SMAP Validation and Accuracy Assessment of Soil Moisture Products. Meeting Abstract. October 20-23, 2015 CDROM.Potential of bias correction for downscaling passive microwave and soil moisture data

                                       -
(Peer Reviewed Journal)Kornelsen, K., Cosh, M.H., Coulibaly, P. 2015. Potential of bias correction for downscaling passive microwave and soil moisture data. Journal of Geophysical Research Atmospheres. 120(13), 6460-6479. doi: 10.1002/2015JD023550.Scaling and calibration of a core validation site for the soil moisture active passive mission

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(Abstract Only)Cosh, M.H., Bindlish, R., Colliander, A., Coopersmith, E.J., Hornbuckle, B., Jackson, T.J., Mckee, L.G., Prueger, J.H. 2015. Scaling and calibration of a core validation site for the soil moisture active passive mission [abstract]. American Geophysical Union, Fall Meeting Supplements. Paper No. H43B-01.Multi-scale soil moisture model calibration and validation: An ARS Watershed on the South Fork of the Iowa River

                                       -
(Peer Reviewed Journal)Coopersmith, E.J., Cosh, M.H., Petersen, W., Prueger, J.H., Niemeier, J. 2015. Multi-scale soil moisture model calibration and validation: An ARS Watershed on the South Fork of the Iowa River. Journal of Hydrometeorology. 16(3):1087-1101. DOI:10.1175/JHM-D-14-0145.1Improving the soil moisture data record of the U.S. Climate Reference Network (USCRN) and Soil Climate Analysis Network (SCAN)

                                       -
(Peer Reviewed Journal)Coopersmith, E.J., Bell, J., Cosh, M.H. 2015. Improving the soil moisture data record of the U.S. Climate Reference Network (USCRN) and Soil Climate Analysis Network (SCAN). Advances in Water Resources. 79:80-90. DOI:10.1016/j.advwatres.2015.02.006.A comparison between two algorithms for the retrieval of soil moisture using AMSR-E data

                                       -
(Peer Reviewed Journal)Paloscia, S., Santi, E., Pettinato, S., Mladenova, I., Jackson, T.J., Bindlish, R., Cosh, M.H. 2015. A comparison between two algorithms for the retrieval of soil moisture using AMSR-E data. Frontiers of Earth Science. 3(16):1-10.Different rates of soil drying after rainfall are observed by the SMOS satellite and the South Fork In Situ Soil Moisture Network

                                       -
(Peer Reviewed Journal)Rondinelli, W., Hornbuckle, B., Patton, J., Cosh, M.H., Walker, V., Carr, B., Logsdon, S.D. 2015. Different rates of soil dyring after rainfall are observed by the SMOS satellite and the South Fork In Situ Soil Moisture Network. Journal of Hydrometeorology. 16(2):889-903. doi:10.1175/JHM-D-14-0137.1.Evaluation of dielectric mixing models for microwave soil moisture retrieval using data from the Combined Radar/Radiometer (ComRAD) ground-based SMAP simulator

                                       -
(Peer Reviewed Journal)Srivastava, P., O'Neill, P., Cosh, M.H., Lang, R., Joseph, A. 2014. Evaluation of dielectric mixing models for microwave soil moisture retrieval using data from the Combined Radar/Radiometer (ComRAD) ground-based SMAP simulator. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 99:1-10. DOI: 10.1109/JSTARS.2014.2372031.Evaluation of SMOS soil moisture products over the CanEx-SM10 area

                                          
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(Peer Reviewed Journal)Djamaï, N., Magagi, R., Goita, K., Hosseini, M., Cosh, M.H., Berg, A., Toth, B. 2015. Evaluation of SMOS soil moisture products over the CanEx-SM10 area. Journal of Hydrology. 520:254-267.Aquarius/SAC-D soil moisture product using V3.0 observations

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(Abstract Only)Jackson, T.J., Bindlish, R., Cosh, M.H. 2015. Aquarius/SAC-D Soil Moisture Product Using V3.0 Observations Aquarius Science Team Meeting. Nov. 11-14, 2014, Seattle, WA. 2014 CDROM.Soil moisture and temperature algorithms and validation

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(Abstract Only)Jackson, T.J., Bindlish, R., Mladenova, I., Holmes, T., Cosh, M.H. 2015. Soil Moisture and Temperature Algorithms and Validation Global Climate Observing Mission Principal Investigators Workshop,  January 14-16, 2015, Tokyo, Japan. 2015 CDROM.The soil moisture active passive validation experiment 2012 (SMAPVEX12): pre-launch calibration and validation of the SMAP satellite

                                          
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(Peer Reviewed Journal)Mcnairn, H., Jackson, T.J., Wiseman, G., Belair, S., Bullock, P., Colliander, A., Cosh, M.H., Magagi, R., Moghaddam, M., Adams, J., Berg, A., Homayouni, S., Ojo, E., Rowlandson, T., Shang, J., Goita, Hosseini, M. 2015. The Soil Moisture Active Passive Validation Experiment 2012 (SMAPVEX12): Pre-launch calibration and validation of the SMAP satellite. IEEE Transactions on Geoscience and Remote Sensing. 53:2784-2801.Validation of in situ networks via field sampling: case study in the South Fork Experimental Watershed

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(Abstract Only)Cosh, M.H., Mckee, L.G., Bindlish, R., Coopersmith, E.J., Jackson, T.J., Prueger, J.H. 2014. Validation of in situ networks via field sampling: case study in the South Fork Experimental Watershed [abstract]. American Geophysical Union Fall Meeting. Abstract No. H13D-1132.Generating large-scale estimates from sparse, in-situ networks: multi-scale soil moisture modeling at ARS watersheds for NASA’s soil moisture active passive (SMAP) calibration/validation mission

                                       -
(Abstract Only)Coopersmith, E.J., Cosh, M.H. 2014. Generating large-scale estimates from sparse, in-situ networks: multi-scale soil moisture modeling at ARS watersheds for NASA’s soil moisture active passive (SMAP) calibration/validation mission [abstract]. American Geophysical Union Fall Meeting. Abstract H11M-01.SCA transfer from AMSR-E to AMSR2

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(Abstract Only)Mladenova, I., Jackson, T.J., Njoku, E., Bindlish, R., Cosh, M.H., Chan 2014. SCA transfer from AMSR-E to AMSR2. Advanced Microwave Scanning Radiometer Science Team Meeting. September 23-24, 2014. Huntsville, Alabama. 2014 CDROM.Global soil moisture from the aquarius satellite: Description and initial assessment

                                          
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(Peer Reviewed Journal)Bindlish, R., Jackson, T.J., Cosh, M.H., Zhao, T., O'Neill, P.E. 2015. Global soil moisture from the aquarius satellite: Description and initial assessment. Geoscience and Remote Sensing Letters. 12:923-927.Remote sensing of soil water content at large scales

                                       -
(Abstract Only)Cosh, M.H. 2014. Remote sensing of soil water content at large scales [abstract]. ASA-CSSA-SSSA Annual Meeting Abstracts. Abstract 169-7.Field-scale moisture estimates using COSMOS sensors:
a validation study with temporary networks and leaf-area-indices

                                          
                                       -
(Peer Reviewed Journal)Coopersmith, E.J., Cosh, M.H., Daughtry, C.S. 2014. Field-scale moisture estimates using COSMOS sensors: A validation study with temporary networks and leaf-area-indices. Journal of Hydrology. 519:637-643.Refinement of SMOS multi-angular brightness temperature toward soil moisture retrieval and its analysis over reference targets

                                       -
(Peer Reviewed Journal)Zhao, T., Shi, J., Bindlish, R., Jackson, T.J., Kerr, Y., Cosh, M.H., Cui, Q., Li, Y., Xiong, C., Che, T. 2015. Refinement of SMOS multi-angular brightness temperature toward soil moisture retrieval and its analysis over reference targets. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 8:589-603.Assimilation of passive microwave-based soil moisture and snow depth retrievals for drought estimation

                                          
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(Peer Reviewed Journal)Kumar, S.V., Peters-Lidard, C., Mocko, D., Reichle, R., Liu, Y., Arsenault, K.R., Xia, Y., Ek, M., Riggs, G., Livneh, B., Cosh, M.H. 2014. Assimilation of passive microwave-based soil moisture and snow depth retrievals for drought estimation. Journal of Hydrometeorology. 15:2446-2469.Method to calculate soil heat flux that accounts for sunlit and shaded soil beneath row crops

                                       -
(Abstract Only)Colaizzi, P.D., Agam, N., Evett, S.R., Kustas, W.P., Cosh, M.H., Mckee, L.G. 2014. Method to calculate soil heat flux that accounts for sunlit and shaded soil beneath row crops [abstract]. ASA-CSSA-SSSA Annual Meeting Abstracts. Paper No. 73-4. CDROM.Iowa flood studies (IFloodS) in the South Fork experimental watershed: soil moisture and precipitation monitoring

                                       -
(Abstract Only)Coopersmith, E.J., Cosh, M.H., Petersen, W., Krajewski, W., Prueger, J.H. 2014. Iowa flood studies (IFloodS) in the South Fork experimental watershed: soil moisture and precipitation monitoring. 2014 BARC Poster Day. National Agricultural Library, April 23, 2014, Beltsville, MD.Conclusions from the SMAP Marena Oklahoma in situ soil moisture testbed (SMAP-MOISST)

                                       -
(Abstract Only)Cosh, M.H., Ochsner, T., Basara, Evett, S.R., Small, E., Selker, J., Steele-Dunne, S., Zreda, M. 2014. Conclusions from the SMAP Marena Oklahoma in situ soil moisture testbed (SMAP-MOISST)[abstract]. 21st Conference on Applied Climatology, J2.1, Available: https://ams.confex.com/ams/21Applied17SMOI/webprogram/meeting.html#AMSR-E-Based soil moisture retrieval algorithms and transferability to AMSR2

                                       -
(Abstract Only)Mladenova, I., Jackson, T.J., Njoku, E., Bindlish, R., Cosh, M.H., Chan, S. 2014. AMSR-E-Based soil moisture retrieval algorithms and transferability to AMSR2. International Geoscience and Remote Sensing Symposium Proceedings. July 13-18, 2014. Quebec, Canada. 2014 CDROM.Extending the soil moisture record of the climate reference network with machine learning

                                       -
(Abstract Only)Coopersmith, E.J., Bell, J., Cosh, M.H. 2014. Extending the soil moisture record of the climate reference network with machine learning [abstract]. 21st Conference on Applied Climatology, J2.3, Available: https://ams.confex.com/ams/21Applied17SMOI/webprogram/meeting.html#Evaluation of SMAP radiometer level 2 soil moisture algorithms using four years of SMOS data

                                       -
(Abstract Only)Jackson, T.J., Bindlish, R., Chan, S., Zhao, T., Cosh, M.H., O'Neill, P., Collander, A., Njoku, E., Kerr, Y. 2014. Evaluation of SMAP radiometer level 2 soil moisture algorithms using four years of SMOS data. International Geoscience and Remote Sensing Symposium Proceedings. July 13-18, 2014. 2014 CDROM.Calibration and validation of the COSMOS rover for surface soil moisture

                                          
                                       -
(Peer Reviewed Journal)Dong, G., Ochsner, T., Zreda, M., Cosh, M.H., Zou, C. 2014. Calibration and validation of the COSMOS rover for surface soil moisture. Vadose Zone Journal.13:4. doi: 10.2136/vzj2013.08.0148.A ground based L-band radiometer for the monitoring of soil moisture in the region of Millbrook, New York, USA

                                          
                                       -
(Peer Reviewed Journal)Temimi, M., Lakhankar, T., Zhan, X., Cosh, M.H., Krakauer, N., Kelly, V., Kumissi, L. 2014. A ground based L-band radiometer for the monitoring of soil moisture in the region of Millbrook, New York, USA. Vadose Zone Journal. 13:3. doi: 10.2136/vzj2013.06.0101.Soil moisture and precipitation monitoring in the South Fork experimental watershed during the Iowa flood studies (IFloodS)

                                       -
(Abstract Only)Coopersmith, E.J., Cosh, M.H., Petersen, W., Krajewski, W., Prueger, J.H. 2014. Soil moisture and precipitation monitoring in the South Fork experimental watershed during the Iowa flood studies (IFloodS) [abstract]. American Society of Civil Engineers. p. 28.Some Issues in Validating Satellite-based Soil Moisture Retrievals with In Situ Observations and Their Impact on SMAP Validation

                                       -
()Jackson, T.J., Cosh, M.H., Crow, W.T. 2014. Some issues in validating satellite-based soil moisture retrievals with in situ observations and their Impact on SMAP validation. In: Lakshmi, V. Remote Sensing of the Terrestrial Water Cycle. American Geophysical Union Geophysical Monograph 206. Washington, DC: John Wiley and Sons. p. 247-254.Inter-comparison of soil moisture sensors from the soil moisture active passive marena Oklahoma in situ sensor testbed (SMAP-MOISST)

                                       -
(Abstract Only)Cosh, M.H., Ochsner, T., Basara, J., Evett, S.R., Hatch, C., Selker, J., Small, E., Steele-Dunne, S., Zreda, M. 2014. Inter-comparison of soil moisture sensors from the soil moisture active passive marena Oklahoma in situ sensor testbed (SMAP-MOISST) [abstract]. Third In Situ and Remote Soil Moisture Sensing Technology Conference. 2014 CDROM.Upper Washita River experimental watersheds: Multiyear stability of soil water content profiles

                                          
                                       -
(Peer Reviewed Journal)Cosh, M.H., Starks, P.J., Guzman Jaimes, J.A., Moriasi, D.N. 2014. Upper Washita River experimental watersheds: Multiyear stability of soil water content profiles. Journal of Environmental Quality. 43(4):1328-1333. DOI: 10.2134/jeq2013.08.0318.Single channel soil moisture algorithm and validation in the U.S.

                                       -
(Abstract Only)Jackson, T.J., Bindlish, R., Cosh, M.H. 2014. Single Channel Soil Moisture Algorithm and Validation in the U.S. Global Climate Observing Mission Principal Investigators Workshop. January 14-17, Tokyo, Japan. CDROMPassive microwave soil moisture downscaling using vegetation index and skin surface temperature

                                          
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(Peer Reviewed Journal)Fang, B., Lakshmi, V., Bindlish, R., Jackson, T.J., Cosh, M.H., Basara, J. 2013. Passive microwave soil moisture downscaling using vegetation index and skin surface temperature. Vadose Zone Journal. 12:3. DOI: 10.2136/vzj2013.05.0089.State of the art in large-scale soil moisture monitoring

                                          
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(Peer Reviewed Journal)Ochsner, T., Cosh, M.H., Cuenca, R., Dorigo, W.A., Draper, C., Hagimoto, Y., Kerr, Y., Larson, K., Njoku, E., Small, E., Zreda, M. 2013. State of the art in large-scale soil moisture monitoring. Soil Science Society of America Journal. 77(6):1888-1919.The south fork experimental watershed: Soil moisture and precipitation network for satellite validation

                                       -
(Abstract Only)Cosh, M.H., Prueger, J.H., Mckee, L.G., Bindlish, R. 2013. The south fork experimental watershed: Soil moisture and precipitation network for satellite validation [abstract]. American Geophysical Union. Abstract H51K-1344.Towards improving the NASA standard soil moisture retrieval algorithm and product

                                       -
(Abstract Only)Mladenova, I., Jackson, T.J., Njoku, E., Bindlish, R., Cosh, M.H., Chan, S. 2013. Towards improving the NASA standard soil moisture retrieval algorithm and product [abstract]. American Geophysical Union. 2013 CDROM.Remote monitoring of soil moisture using passive microwave-based technologies – theoretical basic and overview of selected algorithms for AMSR-E

                                          
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(Peer Reviewed Journal)Mladenova, I., Jackson, T.J., Njoku, E., Bindlish, R., Chan, S., Cosh, M.H., Holmes, T.R., De Jeu, R., Jones, L., Kimball, J., Paloscia, S., Santi, E. 2014. Remote monitoring of soil moisture using passive microwave-based technologies – theoretical basic and overview of selected algorithms for AMSR-E. Remote Sensing of Environment. 197-213.Evaluation of several calibration procedures for a portable soil moisture sensor

                                          
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(Peer Reviewed Journal)Rowlandson, T., Berg, A., Bullock, P., Ojo, E.R., McNairn, H., Wiseman, G., Cosh, M.H. 2013. Evaluation of several calibration procedures for a portable soil moisture sensor. Journal of Hydrology. 498:335-344.Soil water sensing methods-Usefulness for evapotranspiration monitoring and links to remote sensing

                                       -
(Abstract Only)Evett, S.R., Schwartz, R.C., Ochsner, T., Cosh, M.H. 2014. Soil water sensing methods-Usefulness for evapotranspiration monitoring and links to remote sensing[abstract].Validating the BERMS in situ soil water content data record with a large scale temporary network

                                          
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(Peer Reviewed Journal)Cosh, M.H., Jackson, T.J., Smith, C., Toth, B., Berg, A. 2013. Validating the BERMS in situ soil water content data record with a large scale temporary network. Vadose Zone Journal. DOI: 10.2136/vzj2012.0151.L-band active/passive time series measurements over a growing season usign the COMRAD ground-based SMAP

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(Abstract Only)O'Neill, P.E., Kurum, M., Joseph, A.T., Fuchs, J., Young, P., Cosh, M.H., Lang, R.H. 2013. L-band active/passive time series measurements over a growing season using the COMRAD ground-based SMAP simulator [abstract].  Proceedings of the International Geoscience and Remote Sensing Symposium. 2013 CDROM.SMAP validation experiment 2012 (SMAPVEX12): Overview and outlook

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(Abstract Only)Jackson, T.J., Mcnairn, H., Wiseman, G., Colliander, A., Berg, A., Magagi, R., Kim, S., Cosh, M.H., Njoku, E., Belair, S. 2013. SMAP validation experiment 2012 (SMAPVEX12): Overview and outlook [abstract]. IEEE Geoscience and Remote Sensing Symposium (IGARSS). 2013 CDROM.Development of a aquarius/sac-d soil moisture product

                                       -
(Abstract Only)Bindlish, R., Jackson, T.J., Zhao, T., Holmes, T.R., Cosh, M.H., O'Neill, P.E. 2013. Development of a aquarius/sac-d soil moisture product [abstract]. International Geoscience and Remote Sensing Symposium (IGARSS). 2013 CDROM.A review on temporal stability of soil water contents

                                       -
(Abstract Only)Vanderlinden, K., Vereecken, H., Hardelauf, H., Herbst, M., Martinez, G., Cosh, M.H., Pachepsky, Y.A. 2013. A review on temporal stability of soil water contents [abstract]. Geophysical Research Abstracts. 15:EGU2013-2864.Mapping vegetation water content in the Red river basin during the soil moisture active passive validation experiment

                                       -
(Abstract Only)Cosh, M.H., Mcnairn, H., Wiseman, G., Berg, A., Magagi, R., Jackson, T.J. 2013. Mapping vegetation water content in the Red river basin during the soil moisture active passive validation experiment [abstract]. 3rd Canadian Soil Moisture Active Passive Workshop. 2013 CDROM.Early conclusions of the soil moisture active passive Marena Oklahoma in situ sensor testbed (SMAP-Moisst)

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(Abstract Only)Cosh, M.H., Oshsner, T., Mckee, L.G. 2012. Early conclusions of the soil moisture active passive Marena Oklahoma in situ sensor testbed (SMAP-Moisst)[abstract]. American Geophysical Union. 2012 CDROM.Surface soil water content spatial organization within irrigated and non-irrigated agricultural fields

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(Peer Reviewed Journal)Cosh, M.H., Evett, S.R., McKee, L.G. 2012. Surface soil water content spatial organization within irrigated and non-irrigated agricultural fields. Advances in Water Resources. 50:55-61.Soil heat flux variability influenced by row direction in irrigated cotton

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(Peer Reviewed Journal)Agam, N., Kustas, W.P., Evett, S.R., Colaizzi, P.D., Cosh, M.H., McKee, L.G. 2012. Soil heat flux variability influenced by row direction in irrigated cotton. Advances in Water Resources. 50:31-40.Effect of dew on aircraft-based passive microwave observations over an agricultural domain

                                       -
(Peer Reviewed Journal)Du, D., Jackson, T.J., Bindlish, R., Cosh, M.H., Li, L., Hornbuckle, B., Kabela, E. 2012. Effect of dew on aircraft-based passive microwave observations over an agricultural domain. Journal of Applied Remote Sensing (JARS). DOI: 10.1117/1.JRS.6.063571.Using agricultural in situ soil moisture networks to validate satellite estimates

                                       -
(Proceedings)Cosh, M.H., Prueger, J.H., Jackson, T.J. 2012. Using agricultural in situ soil moisture networks to validate satellite estimates. Remote Sensing in Hydrology Symposium. 352:34-37.Early results of the soil moisture active passive Marena Oklahoma in situ sensor testbed (SMAP-MOISST)

                                       -
(Abstract Only)Cosh, M.H., Oshsner, T. 2012. Early results of the soil moisture active passive Marena Oklahoma in situ sensor testbed (SMAP-MOISST)[abstract]. Hydrologic Discovery through Physical Analysis Symposium. 2012 CDROM.Evaluation of the SMAP radiometer lever 2 pre-launch soil moisture algorithms using SMOS data

                                       -
(Abstract Only)Bindlish, R., Jackson, T.J., Zhao, T., Cosh, M.H., Chan, S., O'Neill, P.E., Njoku, E., Colliander, A., Kerr, Y. 2012. Evaluation of the SMAP radiometer lever 2 pre-launch soil moisture algorithms using SMOS data [abstract]. Meeting Abstract. 2012 CDROM.Application of observation operators for field scale soil moisture averages and variances in agricultural landscapes

                                       -
(Peer Reviewed Journal)Han, E., Heathman, G.C., Merwade, V., Cosh, M.H. 2012. Application of observation operators for field scale soil moisture averages and variances in agricultural landscapes. Journal of Hydrology. 444-445:34-50.Multi-scale temporal stability analysis of surface and subsurface soil moisture within the Upper Cedar Creek Watershed, Indiana

                                       -
(Peer Reviewed Journal)Heathman, G.C., Cosh, M.H., Merwade, V., Han, E. 2012. Multi-scale temporal stability analysis of surface and subsurface soil moisture within the Upper Cedar Creek Watershed, Indiana. Catena. 95:91-103.Soil moisture mapping for aquarius

                                       -
(Abstract Only)Jackson, T.J., Bindlish, R., Zhao, T., Cosh, M.H., O'Neill, P.W. 2012. Soil moisture mapping for aquarius [abstract]. Meeting Abstract. 2012 CDROM.Temporal stability of soil water contents: A review of data and analyses

                                       -
(Peer Reviewed Journal)Vanderlilnden, K., Vereecken, H., Hardelauf, H., Herbst, M., Martinez, G., Cosh, M.H., Pachepsky, Y.A. 2012. Temporal stability of soil water contents: A review of data and analyses. Vadose Zone Journal. DOI:10.2136/vzj2011.0178.Development of a soil moisture product using aquarius/SAC-D observations

                                       -
(Abstract Only)Jackson, T.J., Bindlish, R., Zhao, T., Holmes, T.R., Cosh, M.H., O'Neill, P.E. 2012. Development of a soil moisture product using aquarius/SAC-D observations[abstract]. International Geoscience and Remote Sensing Symposium. 2012 CDROM.Long term analysis of PALS soil moisture campaign measurements for global soil moisture algorithm development

                                       -
(Peer Reviewed Journal)Colliander, A., Chan, S., Kim, S., Das, N., Yueh, S., Cosh, M.H., Bindlish, R., Jackson, T.J., Njoku, E. 2012. Long term analysis of PALS soil moisture campaign measurements for global soil moisture algorithm development. Remote Sensing of Environment. 121:309-322.Upscaling sparse ground-based soil moisture observations for the validation of satellite surface soil moisture products

                                       -
()Crow, W.T., Berg, A., Cosh, M.H., Loew, A., Mohanty, B., Panciera, R., De Rosnay, P., Ryu, D., Walker, J. 2012. Upscaling sparse ground-based soil moisture observations for the validation of satellite surface soil moisture products. Review of Geophysics. DOI: 10.1029/2011RG000372.Effective tree scattering and opacity at L-band

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(Peer Reviewed Journal)Kurum, M., O'Neill, P.E., Lang, R.H., Joseph, A.T., Cosh, M.H., Jackson, T.J. 2012. Effective tree scattering and opacity at L-band. IEEE Transactions on Geoscience and Remote Sensing. 118:1-9.Validating the BERMS in situ soil moisture network with a large scale temporary network

                                       -
(Abstract Only)Cosh, M.H., Jackson, T.J., Smith, C., Toth, B. 2012. Validating the BERMS in situ soil moisture network with a large scale temporary network [abstract]. American Geophysical Union Chapman Conference on Remote Sensing of the Terrestrial Water Cycle. 19-22:49.Field scale spatiotemporal analysis of surface soil moisture for evaluating point-scale in situ networks

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(Peer Reviewed Journal)Heathman, G.C., Cosh, M.H., Han, E., Jackson, T.J., McKee, L.G., McAfee, S.J. 2012. Field scale spatiotemporal analysis of surface soil moisture for evaluating point-scale in situ networks. Geoderma. 170:195-205.Canadian experiment for soil moisture in 2010 (CanEx-SM10): Overview and preliminary results

                                       -
(Peer Reviewed Journal)Magagi, R., Berg, A., Goita, K., Belair, S., Jackson, T.J., Toth, B., Walker, A., Mcnairn, H., O'Neil, P.E., Moghaddam, M., Gherboudj, I., Colliander, A., Cosh, M.H. 2013. Canadian experiment for soil moisture in 2010 (CanEx-SM10): Overview and preliminary results. IEEE Transactions on Geoscience and Remote Sensing. 51:347-363.Aqua AMSR-E soil moisture retrieval: Evaluation and potential Algorithm improvement

                                       -
(Abstract Only)Mladenova, I., Jackson, T.J., Bindlish, R., Cosh, M.H., Njoku, W., Chan, S. 2012. Aqua AMSR-E soil moisture retrieval: Evaluation and potential Algorithm improvement [abstract]. American Meterology Society Conference on Hydrology, January 22-26, 2012, New Orleans, LA. Available: http://ams.confex.com/ams/92Annual/webprogram/Paper195590SMOS observations to evaluate SMAP soil moisture algorithms

                                       -
(Abstract Only)Bindlish, R., Jackson, T.J., Zhao, T., Cosh, M.H., Chan, S., O'Neill, P.E., Njoku, E., Colliander, A., Kerr, Y. 2012. SMOS observations to evaluate SMAP soil moisture algorithms [abstract]. American Meteorology Society Conference on Hydrology, January 22-26, 2012, New Orleans, LA. Available: http://ams.confex.com/ams/92annual/webprogram/Paper195590SMOS validation of soil moisture and ocen salinity (SMOS) soil moisture over watershed networks in the U.S.

                                       -
(Peer Reviewed Journal)Jackson, T.J., Bindlish, R., Cosh, M.H., Zhao, T., Starks, P.J., Bosch, D.D., Moran, M.S., Seyfried, M.S., Kerr, Y., Leroux, D., Goodrich, D.C. 2012. SMOS validation of soil moisture and ocen salinity (SMOS) soil moisture over watershed networks in the U.S. IEEE Transactions on Geoscience and Remote Sensing. 50:1530-1543.Impact of conifer forest litter on microwave emission at L-band

                                       -
(Peer Reviewed Journal)Mehmet, K., O'Neill, P.E., Lang, R.H., Cosh, M.H., Joseph, A.T., Jackson, T.J. 2011. Impact of conifer forest litter on microwave emission at L-band. IEEE Transactions on Geoscience and Remote Sensing. 50(4):1071-1084.Application of observation operators for field scale soil moisture averages and variances in agricultural landscapes

                                       -
(Abstract Only)Han, E., Merwade, V., Heathman, G.C., Cosh, M.H. 2012. Application of observation operators for field scale soil moisture averages and variances in agricultural landscapes [abstract]. The Second International Soil Sensing Technology Conference, January 3-7, 2012, Honolulu, HI. #6, http://www.ctahr.hawaii.edu/faresa/conference/soilmoisture2012/abstract2012.htm.SMOS/SMAP synergy for SMAP level 2 soil moisture algorithm evaluation

                                       -
(Abstract Only)Jackson, T.J., Bindlish, R., Zhao, T., Cosh, M.H., Chan, S., Njoku, E., Colliander, A., O'Neill, P.E., Kerr, Y. 2011. SMOS/SMAP synergy for SMAP level 2 soil moisture algorithm evaluation [abstract]. SMOS Science Workshop. 2011 CDROM.Spatio-temporal analysis of surface and subsurface soil moisture for remote sensing applications within the Upper Cedar Creek Watershed

                                       -
(Proceedings)Heathman, G.C., Cosh, M.H., Han, E., Jackson, T.J. 2011. Spatio-temporal analysis of surface and subsurface soil moisture for remote sensing applications within the Upper Cedar Creek Watershed [abstract]. In: Proceedings of the Interagency Conference on Research in the Watersheds, September 26-30, 2011, Fairbanks, Alaska. 2011 CD ROM.Calibration and validation of the soil moisture active passive mission with USDA-ARS experimental watersheds

                                       -
(Abstract Only)Cosh, M.H., Jackson, T.J., Bosch, D.D., Heathman, G.C., Moran, M.S., Prueger, J.H., Starks, P.J. 2011. Calibration and validation of the soil moisture active passive mission with USDA-ARS experimental watersheds [abstract]. ASA-CSSA-SSSA Annual Meeting Abstracts. Abstract #243-7.Soil moisture sensor intercomparisons at the SMAP marena in situ testbed

                                       -
(Abstract Only)Mckee, L.G., Cosh, M.H., Ochsner, T. 2011. Soil moisture sensor intercomparisons at the SMAP marena in situ testbed [abstract}. ASA-CSSA-SSSA Annual Meeting Abstracts. 2011 CDROM.The contributions of precipitation and soil moisture observations to the skill of soil moisture estimates in a land data assimilation system

                                       -
(Peer Reviewed Journal)Liu, Q., Reichle, R., Bindlish, R., Cosh, M.H., Crow, W.T., De Jeu, R., De Lannoy, G., Huffman, G., Jackson, T.J. 2011. The contributions of precipitation and soil moisture observations to the skill of soil moisture estimates in a land data assimilation system. Journal of Hydrometeorology. 12:750-765.SMOS soil moisture validation with U.S. in situ newworks

                                       -
(Abstract Only)In situ validation issues in the soil moisture active passive (SMAP) satellite mission

                                       -
(Abstract Only)Jackson, T.J., Cosh, M.H., Colliander, A., Walker, J., Crow, W.T. 2011. In situ validation issues in the soil moisture active passive (SMAP) satellite mission [abstract]. 34th International Symposium on Remonte Sensing of Environment. 2011 CDROM.Validation of soil moisture ocean salinity (SMOS) satellite soil moisture products

                                       -
(Abstract Only)Zhao, T., Jackson, T.J., Bindlish, R., Cosh, M.H. 2011. Validation of soil moisture ocean salinity (SMOS) satellite soil moisture products [abstract]. Abs. 62. BARC Poster Day.In situ validation of the soil moisture active passive (SMAP) satellite mission

                                       -
(Proceedings)Jackson, T.J., Cosh, M.H., Colliander, A., Walker, J., Crow, W.T. 2011. In situ validation of the soil moisture active passive (SMAP) satellite mission. International Symposium on Remote Sensing Proceedings. 2011 CDROM.A first-order radiative transfer model for microwave radiometry of forest canopies at L-band

                                       -
(Peer Reviewed Journal)Kurum, M., Lang, R.H., O'Neill, P.E., Joseph, A.T., Jackson, T.J., Cosh, M.H. 2011. A first-order radiative transfer model for microwave radiometry of forest canopies at L-band. IEEE Transactions on Geoscience and Remote Sensing. 49:3167-3179.Assesment of a soil moisture retrieval with numerical weather prediction model temperature

                                       -
(Proceedings)Evaluating Remotely-Sensed Surface Soil Moisture Estimates Using Triple Collocation

                                       -
(Proceedings)Early results of the SMAP In Situ Sensor Testbed

                                       -
(Abstract Only)Cosh, M.H., Ochsner, T., Mckee, L.G., Evett, S.R. 2010. Early results of the SMAP In Situ Sensor Testbed [abstract]. American Geophysical Union. 2010 CDROM.Soil Moisture Product Validation of AMSR-E 2002-2009

                                       -
(Abstract Only)Jackson, T.J., Cosh, M.H., Bindlish, R. 2010. Soil moisture product validation of AMSR-E 2002-2009 [abstract]. NASA A-Train Symposium. 2010 CDROM.A technique for estimating spatial sampling errors in coarse-scale soil moisture estimates derived from point-scale observations

                                       -
(Peer Reviewed Journal)Mirrales, D., Crow, W.T., Cosh, M.H. 2010. A technique for estimating spatial sampling errors in coarse-scale soil moisture estimates derived from point-scale observations. Journal of Hydrometeorology. 11:1423-1429.Characterization of forest opacity using mulit-angular emission and backscatter data

                                       -
(Proceedings)Kurum, M., O'Neill, P.E., Lang, R.H., Joseph, A.T., Cosh, M.H., Jackson, T.J. 2010. Characterization of forest opacity using mulit-angular emission and backscatter data. In: Proceedings of the International Geoscience and Remote Sensing Symposium, July 25-30, 2010, Honolulu, Hawaii. III:2051-2054.Landslide susceptibility mapping using downscaled AMSR-E soil moisture: A case study from Cleveland Corral, California, US

                                       -
(Peer Reviewed Journal)Ray, R., Jacobs, J., Cosh, M.H. 2010. Landslide susceptibility mapping using downscaled AMSR-E soil moisture: A case study from Cleveland Corral, California, US. Remote Sensing of Environment. 114:2624-2636.Using Agricultural in Situ Soil Moisture Networks to Validate Satellite Estimates

                                       -
(Abstract Only)Cosh, M.H., Prueger, J.H., Jackson, T.J. 2010. Using Agricultural in Situ Soil Moisture Networks to Validate Satellite Estimates. Remote Sensing and Hydrology 2010 Symposium. 2010 CDROM.SMOS Soil Moisture Validation with U.S. Networks

                                       -
(Abstract Only)Jackson, T.J., Cosh, M.H., Bindlish, R. 2010. SMOS soil moisture validation with U.S. networks [abstract]. SMOS Validation and Retrieval Team Workshop. 2010 CDROM.SMOS Soil Moisture Validation with Dense and Sparse Newtworks:Early Results

                                       -
(Proceedings)Vegetation Water Content Mapping in a Diverse Agricultural Landscape: The National Airborne Field Experiment 2006

                                       -
(Peer Reviewed Journal)Cosh, M.H., Tao, J., Jackson, T.J., McKee, L.G., O'Neill, P. 2010. Vegetation water content mapping in a diverse agricultural landscape: The National Airborne Field Experiment 2006. Journal of Applied Remote Sensing (JARS). 4(043532):1-12.Evaluating Remotely-Sensed Soil Moisture Retrievals Using Triple Collocation Techniques

                                       -
(Abstract Only)Crow, W.T., Miralles, D., Cosh, M.H. 2010. Evaluating remotely-sensed soil moisture retrievals using triple collocation techniques [abstract]. 2010 IAHS Remote Sensing and Hydrology Symposium. p. 79.Validation of SMOS Soil Moisture with Dense and Sparse Networks in the U.S.

                                       -
(Abstract Only)Assessment of Aquarius/SAC-D Soil Moisture and Land Surface Temperature Using SMOS

                                       -
(Abstract Only)Jackson, T.J., Bindlish, R., Holmes, T.R., Cosh, M.H., Zhao, T., O'Neill, P. 2010. Assessment of Aquarius/SAC-D soil moisture and land surface temperature using SMOS [abstract]. 6th Aquarius/SAC-D Science Workshop. 2010 CDROM.Validation of Advanced Microwave Scanning Radiometer Soil Moisture Products

                                       -
(Peer Reviewed Journal)Jackson, T.J., Cosh, M.H., Bindlish, R., Starks, P.J., Bosch, D.D., Seyfried, M.S., Goodrich, D.C., Moran, M.S. 2010. Validation of advanced microwave scanning radiometer soil moisture products. IEEE Transactions on Geoscience and Remote Sensing. 48:4256-4272.SMOS Soil Moisture Validation with Dense and Sparse Networks

                                       -
(Abstract Only)Passive Microwave Observations of Soil Moisture and Dew in Soil Moisture Experiments 2005

                                       -
(Abstract Only)Du, J., Jackson, T.J., Bindlish, R., Cosh, M.H., Li, L., Hornbuckle, B. 2010. Passive microwave observations of soil moisture and dew in soil moisture experiments 2005 [abstract]. American Geophysical Union. 90(52)H11G-05.Microwave Soil Moisture Retrieval Under Trees Using a Modified Tau-Omega Model

                                       -
(Proceedings)O'Neill, P., Lang, R., Kurum, M., Joseph, A., Cosh, M.H., Jackson, T.J. 2010. Microwave soil moisture retrieval under trees using a modified Tau-Omega model. In: Proceedings of the International Geoscience and Remote Sensing Symposium Proceedings, July 25-30, 2010, Honolulu, Hawaii. III:290-293.Spatio-Temporal Analysis of Surface Soil Moisture in Evaluating Ground Truth Monitoring Sites for Remotely Sensed Observations

                                       -
(Abstract Only)Heathman, G.C., Cosh, M.H., Han, E., Jackson, T.J., Mckee, L.G., Mcafee, S.J. 2010. Spatio-Temporal Analysis of Surface Soil Moisture in Evaluating Ground Truth Monitoring Sites for Remotely Sensed Observations [abstract]. Hydrology Conference, 2010. October 11-13, 2010, San Diego, CA. CD ROM.Soil Moisture Active Passive (SMAP) Calibration and validation plan and current activities

                                       -
(Proceedings)Jackson, T.J., Cosh, M.H., Bindlish, R., Crow, W.T., Colliander, A., Njoku, E., McDonald, K., Kimball, J.S., Belair, S., Walker, J., Panciera, R., Entekhabi, D., O'Neill, P. 2010. Soil Moisture Active Passive (SMAP) calibration and validation plan and current activities. In Proceedings of the International Geoscience and Remote Sensing Symposium Proceedings, July 25-30, 2010, Honolulu, Hawaii. 2010 CDROM.The SMAP In Situ Soil Moisture Sensor Testbed: Comparing in situ sensors for satellite validation

                                       -
(Proceedings)Cosh, M.H., Ochsner, T., Basara, J., Jackson, T.J. 2010. The SMAP In situ soil moisture sensor testbed: Comparing in situ sensors for satellite validation. In: Proceedings of the IEEE Transactions on Geoscience and Remote Sensing, July 25-30, 2010, Honolulu, Hawaii. III:290-293.A quasi-global evaluation system for satellite-based surface soil moisture retrievals

                                       -
(Peer Reviewed Journal)Crow, W.T., Mirrales, D.G., Cosh, M.H. 2010. A quasi-global evaluation system for satellite-based surface soil moisture retrievals. IEEE Transactions on Geoscience and Remote Sensing. 48(6):2516-2527.Remote sensing of an agricultural soil moisture network in Walnut Creek, Iowa

                                       -
(Abstract Only)Cosh, M.H., Prueger, J.H., Goodman, F.E., Jackson, T.J. 2009. Remote sensing of an agricultural soil moisture network in Walnut Creek, Iowa [abstract]. American Geophysical Union, Fall Meeting Supplements. 90(52):H54D-02.Soil Moisture Active Passive Validation Experiment 2008

                                       -
(Abstract Only)Jackson, T.J., Cosh, M.H., Bindlish, R., Yueh, S., Dinardo, S., O'Neill, P. 2009. Soil Moisture Active Passive Validation Experiment 2008 [abstract]. The 3rd Annual Advanced Land Observing Satellite Joint Principal Investigators Symposium. 2009 CDROM.Soil Moisture Retrieval from Aquarius

                                       -
(Abstract Only)Jackson, T.J., Bindlish, R., Cosh, M.H., Holmes, T.R., O'Neill, P. 2009. Soil moisture retrieval from Aquarius [abstract]. Aquarius Science Team Meeting. 2009 CDROM.Validation of microwave vegetation indices using field experiment data sets

                                       -
(Proceedings)Jackson, T.J., Shi, J., Cosh, M.H., Bindlish, R., Tao, J. 2009. Validation of microwave vegetation indices using field experiment data sets. Proceedings of SPIE, August 2-5, 2009, San Diego, California. 7454:0601-0604.Comparison of soil water content distributions between irrigated and non-irrigated cropland during the BEAREX08 experiment

                                       -
(Abstract Only)McKee, L.G., Cosh, M.H., Evett, S.R. 2009. Comparison of soil water content distributions between irrigated and non-irrigated cropland during the BEAREX08 experiment [abstract]. ASA-CSSA-SSSA Annual Meeting Abstracts. 2009 CDROM.In situ validation of soil water content from satellite remote sensing

                                       -
(Abstract Only)Cosh, M.H., Jackson, T.J. 2009. In situ validation of soil water content from satellite remote sensing [abstract]. ASA-CSSA-SSSA Annual Meeting Abstracts. 2009 CDROM.Estimation of Forest Canopy Attenuation at L-band by a Time-Domain Analysis of  Radar Backscatter Response

                                       -
(Peer Reviewed Journal)Kurum, M., Lang, R., O'Neill, P., Joseph, A., Jackson, T.J., Cosh, M.H. 2009. Estimation of forest canopy attenuation at L-band by a time-domain analysis of radar backscatter response. IEEE Transactions on Geoscience and Remote Sensing. 47:3026-3040.SMAPVEX08: Soil Moisture Active Passive Validation Experiment 2008

                                       -
(Proceedings)Jackson, T.J., Cosh, M.H., Bindlish, R., Dinardo, S., Yuch, S., Laymon, C., O'Neill, P., Piepmeier, J., Rincon, R. 2009. SMAPVEX08: Soil Moisture Active Passive Validation Experiment 2008. In: International Geoscience and Remote Sensing Symposium Proceedings, July 12-17, 2010, Cape Town, South Africa. 2009 CDROM.Surface soil moisture distributions at the field scale in the Southern Great Plains

                                       -
(Abstract Only)Cosh, M.H., McKee, L.G., Jackson, T.J. 2009. Surface soil moisture distributions at the field scale in the Southern Great Plains [abstract]. American Geophysical Union. 90(22):H245A-03.Observations of dew amount using in-situ and satellite measurements in an agricultural landscape

                                       -
(Peer Reviewed Journal)Cosh, M.H., Kabela, A., Hornbuckle, B., Gleason, M.L., Jackson, T.J., Prueger, J.H. 2009. Observations of dew amount using in-situ and satellite measurements in an agricultural landscape. Agricultural and Forest Meteorology. 149:1082-1086.Surface and Profile Soil Moisture Spatial Analysis During an Excessive Rainfall Period in the Southern Great Plains

                                       -
(Peer Reviewed Journal)Heathman, G.C., Larose, M., Cosh, M.H., Bindlish, R. 2009. Surface and Profile Soil Moisture Spatial Analysis During an Excessive Rainfall Period in the Southern Great Plains. Catena. 78:159-169.Combined Passive Active Soil Moisture Observations during CLASIC

                                       -
(Peer Reviewed Journal)Bindlish, R., Jackson, T.J., Sun, R., Cosh, M.H., Yueh, S., Dinardo, S. 2009. Combined passive active soil moisture observations during CLASIC. Geoscience and Remote Sensing Letters. 6:644-648.Validating Large Scale Networks Using Temporary Local Scale Networks

                                       -
(Abstract Only)Cosh, M.H., Jackson, T.J., Schaefer, G.L. 2009. Validating large scale networks using temporary local scale networks [abstract]. Workshop on Soil Moisture and Soil Temperature Monitoring in the U.S. Climate Reference Network. 2009 CDROM.Validation of AMSR-E Soil Moisture Products Using In Situ Observations

                                       -
(Peer Reviewed Journal)Jackson, T.J., Bindlish, R., Cosh, M.H. 2009. Validation of AMSR-E soil moisture products using in situ observations. Journal of the Remote Sensing Society of Japan. 29:263-270.Dew Frequency, Duration, Amount, and Distribution in Corn and Soybean During SMEX05

                                       -
(Abstract Only)Kabela, E., Hornbuckle, B.K., Cosh, M.H., Anderson, M.C., Gleason, M.L. 2008. Dew frequency, duration, amount, and distribution in corn and soybean during SMEX05 [abstract]. American Geophysical Union. 89(53).TRMM Microwave Imager soil moisture mapping and flooding during CLASIC

                                       -
(Abstract Only)Jackson, T.J., Bindlish, R., Wang, Y., Cosh, M.H. 2009. TRMM microwave imager soil moisture mapping and flooding during CLASIC [abstract]. Progress in Electromagnetic Remote Sensing. 2009 CDROM.Soil Moisture Active Passive Validation Experiment 2008 (SMAPVEX08)

                                       -
(Abstract Only)Jackson, T.J., Cosh, M.H., Dinardo, S., Laymon, C., O'Neill, P., Piepmeier, J., Rincon, R., Yuch, S. 2008. Soil Moisture Active Passive Validation Experiment [abstract]. American Geophysical Union. 89(53).Comparison of soil moisture distributions between irrigated and non-irrigated cropland

                                       -
(Abstract Only)Cosh, M.H., McKee, L. 2008. Comparison of soil moisture distributions between irrigated and non-irrigated cropland [abstract]. American Geophysical Union, 89(53).Large-scale surface soil moisture estimation using in situ networks

                                       -
(Abstract Only)Cosh, M.H., Jackson, T.J. 2008. Large-scale surface soil moisture estimation using in situ networks [abstract]. International Workshop on Microwave Remote Sensing for Land Hydrology. 2008 CDROM.Dew Frequency, Duration, amount, and Distribution in Corn and Soybean During SMEX05

                                       -
(Abstract Only)Kabela, E., Hornbuckle, B.K., Cosh, M.H., Anderson, M.C., Gleason, M. 2008. Dew frequency, duration, amount, and distribution in corn soybean during SMEX05 [abstract]. International Workshop on Microwave Remote Sensing for Land Hydrology. 2008 CDROM.Dew Frequency, Duration, Amount, and Distribution in Corn and Soybean During SMEX05

                                       -
(Peer Reviewed Journal)Kabela E., Hornbuckle, B., Cosh, M.H., Anderson, M.C., Gleason, M.L. 2009. Dew frequency, duration, amount, and distribution in corn and soybean during SMEX05. Agriculture Forest Meteorology. 149(1):11-24.Combined Passive Active Soil Moisture Observations During CLASIC

                                       -
(Proceedings)Bindlish, R., Jackson, T.J., Yuch, S., Dinardo, S., Cosh, M.H., Sun, R. 2008. Combined passive active soil moisture observations during CLASIC. In: Proceedings of the International Geoscience and Remote Sensing Symposium, July 7-11, 2008, Boston, Massachusetts. p. II237-II244.Forest canopy effects on the estimation of soil moisture at L-Band

                                       -
(Proceedings)Kurum, M., Land, R., O'Neill, P., Joseph, A., Cosh, M.H., Jackson, T.J. 2008. Forest canopy effects on the estimation of soil moisture at L-Band. In: Proceedings of the International Geoscience and Remote Sensing Symposium, July 7-11, 2008, Boston, Massachusetts. p. I33-I36.Microwave soil moisture retrieval under trees

                                       -
(Proceedings)O'Neill, P., Lang, R., Kurum, M., Joseph, A., Cosh, M.H., Jackson, T.J. 2008. Microwave soil moisture retrieval under trees. In: Proceedings of the International Geoscience and Remote Sensing Symposium Proceedings, July 7-11, 2008, Boston, Massachusetts. p. I37-I40.Surface soil moisture estimation at the watershed scale using in situ networks

                                       -
(Abstract Only)Cosh, M.H., Jackson, T.J., Bindlish, R. 2008. Surface soil moisture estimation at the watershed scale using in situ networks [abstract]. First International Conference on Hydrology. 2008 CDROM.Estimation of canopy attenuation for active/passive microwave soil moisture retrieval algorithms

                                       -
(Abstract Only)Kurum, M., Lang, R., O'Neill, P., Joseph, A., Jackson, T.J., Cosh, M.H. 2008. Estimation of canopy attenuation for active/passive microwave soil moisture retrieval algorithms [abstract]. Microwave Radiometry and Remote Sensing of the Earth's Surface and Atmosphere. 2008 CDROM.A Five-Year Validation of AMSR-E Soil Moisture Products

                                       -
(Proceedings)Jackson, T.J., Cosh, M.H., Bindlish, R. 2008. A five-year validation of AMSR-E soil moisture products. In: Proceedings of the International Geoscience and Remote Sensing Symposium, July 7-11, 2008, Boston, Massachusetts. p. II69-II72.Sub-Pixel Reflectance Unmixing in Estimating Vegetation Water Content and Dry Biomass of Corn and Soybeans Cropland using Normalized Difference Water Index (NDWI) from Satellites

                                       -
(Peer Reviewed Journal)Huang, J., Chen, D., Cosh, M.H. 2009. Sub-pixel reflectance unmixing in estimating vegetation water content and dry biomass of corn and soybeans cropland using normalized difference water index (NDWI) from satellites. International Journal of Remote Sensing. 30(8):2075-2104.Land cover estimation using multiple satellite platforms during CLASIC

                                       -
(Abstract Only)Cosh, M.H., Tao, J., Bindlish, R., Jackson, T.J. 2008. Land cover estimation using multiple satellite platforms during CLASIC [abstract]. American Geophysical Union. H34A-01.Partitioning evapotranspiration using diurnal surface temperature variation                                                                1861

                                       -
(Proceedings)Moran, M.S., Keefer, T.O., Paige, G.B., Scott, R.L., Emmerich, W.E., Cosh, M.H., O'Neill, P.E. 2008. Partitioning evapotranspiration using diurnal surface temperature variation.  6th Conference on Research and Resources Mgmt. in the Southwestern Desert - Borders, Boundaries and Time Scales, 2-5 May 2006, Tucson, Az., Proc. Published by USGS Sonoran Desert Research Station. 3 p.Land surface hydrology in the cloud land surface interaction campaign (CLASIC)

                                       -
(Abstract Only)Jackson, T.J., Cosh, M.H., Bindlish, R., Gasiewski, A., Yeuh, S., Dinardo, S., Kustas, W.P. 2008. Land surface hydrology in the Cloud Land Surface Interaction Campaign (CLASIC)[abstract]. European Geophysical Union General Assembly, April 14-18, 2008, Vienna, Austria, 10(EGU2008)A-01325.Land Surface Hydrology during the Cloud Land Surface Interaction Campaign (CLASIC) in 2007

                                       -
(Abstract Only)Cosh, M.H., Jackson, T.J., Kustas, W.P., Basara, J. 2008. Land surface hydrology during the Cloud Land Surface Interaction Campaign (CLASIC) in 2007 [abstract]. 18th Atmospheric Radiation Measurement Science Meeting. p. 71.WindSat Passive Microwave Soil Moisture Retrievals

                                       -
(Proceedings)Jackson, T.J., Du. J., Bindlish, R., Cosh, M.H., Li, L., Gaiser, P. 2008. WindSat passive microwave soil moisture retrievals. In: Proceeding of the Catchment-Scale Hydrological Modelling and Data Assimilation International Workshop, January 9-11, 2008, Melbourne, Australia. 2008 CDROM.Soil moisture estimation using WindSat based passive microwave polarimetric observations

                                       -
(Abstract Only)Bindlish, R., Jackson, T.J., Du, J., Cosh, M.H., Li, L. 2007. Soil moisture estimation using WindSat based passive microwave polarimetric observations [abstract]. EOS Transactions, American Geophyscial Union, Fall Supplements. 88(52):H33I-03.Leaf wetness distribution in a heterogeneous agricultural landscape

                                       -
(Abstract Only)Cosh, M.H., Hornbuckle, B., Kabela, E., Gleason, M., Jackson, T.J. 2007. Leaf wetness distribution in a heterogeneous agricultural landscape [abstract]. American Geophysical Union Fall Meeting. Abstract No. H31D-0634.Validation of AMSR-E Soil Moisture Algorithms with Ground Based Networks

                                       -
(Proceedings)Jackson, T., Cosh, M., Bindlish, R., Du, J. 2007. Validation of AMSR-E soil moisture algorithms with ground based networks. In:  Proceedings of the International Geoscience and Remote Sensing Symposium, July 23-27, 2007, Barcelona, Spain. p. 1181-1184.ComRAD Active/Passive Microwave Measurement of Tree Canopies

                                       -
(Proceedings)O'Neill, P.E., Joseph, A., Nelson, R., Lang, R., Kurum, M., Cosh, M.H., Jackson, T.J., Spicknall, M. 2007. ComRAD active/passive microwave measurement of tree canopies. In: Proceedings of the International Geoscience and Remote Sensing Symposium, July 23-27, 2007, Barcelona, Spain. p. 1420-1423.The USDA Natural Resources Conservation Service Soil Analysis Network (SCAN)

                                       -
(Peer Reviewed Journal)Schaefer, G., Cosh, M., Jackson, T. 2007. The USDA Natural Resource Conservation Service Soil Analysis Network (SCAN). Journal of Atmospheric and Ocean Technology. 24:2073-2077.Soil Moisture Spatial Patterns in a Uniform Paulownia Tree Stand

                                       -
(Proceedings)Cosh, M.H. 2007. Soil moisture spatial patterns in a uniform Paulownia tree stand. In:  Proceedings of the Second International Symposium on Soil Water Measurement using Capacitance, Impedance and Time Domain Transmission, October 28-November 2, 2007, Beltsville, Maryland. Paper No. 1.5, p. 1.5-1-10.Soil Moisture Experiments 2005 (SMEX05): Passive Microwave Polarimetric Signature Of Soil Moisture and Vegetation

                                       -
(Proceedings)Jackson, T.J., Bindlish, R., Du, D., Cosh, M.H., Li, L., Gaiser, P., Karbala, E., Hornbuckle, B. 2007. Soil Moisture Experiments 2005 (SMEX05):  Passive microwave polarimetric signature of soil moisture and vegetation. In: Proceedings of the 10th International Symposium on Physical Measurements and Signature in Remote Sensing, March 14-18, 2007, Davos, Switzerland. 2007 CDROM.Modeling and Assimilation of Root Zone Soil Moisture Using Remote Sensing Observations in Walnut Gulch Watershed During SMEX04

                                       -
(Peer Reviewed Journal)Das, N., Mohanty, B., Cosh, M.H., Jackson, T.J. 2008. Modeling and assimilation of root zone soil moisture using remote sensing observations in Walnut Gulch Watershed during SMEX04. Remote Sensing of Environment. 112:415-429.Aircraft based soil moisture retrievals under mixed vegetation and topographic conditions

                                       -
(Peer Reviewed Journal)Bindlish, R., Jackson, T.J., Gasiewski, A., Stankov, B., Klein, M., Cosh, M.H., Mladenova, I., Watts, c., Vivoni, e., Lakshmi, v., Bolten, J., Keefer, T. 2008. Aircraft based soil moisture retrievals under mixed vegetation and topographic conditions. Remote Sensing of Environment. 112:375-390.Soil Moisture Algorithm Validation with Ground Based Networks

                                       -
(Proceedings)Jackson, T.J., Cosh, M.H. 2007. Soil moisture algorithm validation with ground based networks. In: Proceedings of the Electromagnetic Remote Sensing, March 26-30, 2007, Beijing, China. p. 507-510.Scaled Spatial Variability of Soil Moisture Fields

                                       -
(Peer Reviewed Journal)Choi, M., Jacobs, J.M., Cosh, M.H. 2007. Scaled spatial variability of soil moisture fields. Geophysical Research Letters. 34(L01401). http://dx.doi.org/10.1029/2006GL028247.Evolution of the Variability of Surface Temperature and Vegetation Density in the Great Plains

                                       -
(Peer Reviewed Journal)Cosh, M.H., Stedinger, J., Ou, S.C., Liou, K.-N., Brutsaert, W. 2007. Evolution of the variability of surface temperature and vegetation density in the Great Plains. Advances in Water Resources. 30(5):1094-1104.TEMPORAL PERSISTENCE AND STABILITY OF SURFACE SOIL MOISTURE IN A SEMI-ARID WATERSHED

                                       -
(Peer Reviewed Journal)Cosh, M.H., Jackson, T.J., Moran, M.S., Bindlish, R. 2008. Temporal persistence and stability of surface soil moisture in a semi-arid watershed. Remote Sensing of Environment. 112:304-313.PARTITIONING EVAPOTRANSPIRATION USING DIURNAL SURFACE TEMPERATURE VARIATION                                                                  1830

                                       -
(Proceedings)POLARIMETRIC PASSIVE MICROWAVE SIGNATURES AND RFI SUPPERSSION DURING THE SOIL MOISTURE EXPERIMENT/POLARIMETRY LAND EXPERIMENT IN 2005

                                       -
(Proceedings)Li, L., Jackson, T.J., Gaiser, P., Bindlish, R., Bobak, J., Kunkee, D., Cosh, M.H. 2006. Polarimetric passive microwave signatures and RFI supperssion during the soil moisture experiment/polarimetry land experiment in 2005. In: Proceedings of the International Geoscience and Remote Sensing Symposium, July 31-August 31, 2006, Denver, Colorado. p. 2036-2039.VALIDATION OF AMSR-E SOIL MOISTURE PRODUCTS USING WATERSHED NETWORKS

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(Proceedings)Jackson, T.J., Cosh, M.H., Zhan, X., Bosch, D.D., Seyfried, M.S., Starks, P.J., Keefer, T.O., Lakshmi, V. 2006. Validation of AMSR-E soil moisture products using watershed networks. In: Proceedings of the International Geoscience and Remote Sensing Symposium, July 31-August 4, 2006, Denver, Colorado. p. 432-435.SURFACE SOIL MOISTURE TEMPORAL PERSISTENCE AND STABILITY IN SEMI-ARID WATERSHED

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(Proceedings)Cosh, M.H., Jackson, T.J., Moran, M.S., Bindlish, R. 2006. Surface soil moisture temporal persistence and stability in semi-arid watershed. In: Proceedings of the International Geoscience and Remote Sensing Symposium, July 31-August 31, 2006, Denver, Colorado. p. 1724-1727.DEW DURATION AND AMOUNT ON CORN LEAVES AS DETERMINED FROM SMEX05 MEASUREMENTS AND REANALYSIS USING THE ALEX MODEL

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(Abstract Only)Kabela, E., Hornbuckle, B., Cosh, M.H., Anderson, M., Gleason, M.L. 2006. Dew duration and amount on corn leaves as determined from SMEX05 measurements and reanalysis using ALEX model [abstract]. 2006 American Geophysical Union Spring Meeting. Abstract H43B-01.SCALING SURFACE SOIL MOISTURE IN THE WALNUT GULCH EXPERIMENTAL WATERSHED

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(Abstract Only)Cosh, M.H., Jackson, T.J., Moran, M.S., Bindlish, R., Mladenova, I. 2006. Scaling surface soil moisture in the Walnut Gulch Experimental Watershed [abstract].  2006 American Geophysical Union Spring Meeting. Abstract H43B-04.SOIL MOISTURE STRUCTURE FOR DIFFERENT SOIL DEPTHS FROM FIELD TO WATERSHED SCALE DURING THE SOIL MOISTURE EXPERIMENT 2005 (SMEX05)

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(Abstract Only)Choi, M., Jacobs, J.M., Cosh, M.H., Ray, R.L. 2005. Soil moisture structure for different soil depths from field to watershed scale during the Soil Moisture Experiment 2005 (SMEX05) [abstract]. EOS Transactions, American Geophysical Union. 86(52), Fall meeting Supplements, Abstract H23H-02.LONG-TERM EVALUATION OF AMSR-E SOIL MOISTURE PRODUCT OVER THE WALNUT GULCH WATERSHED, AZ

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(Abstract Only)Bolten, J.D., Jackson, T.J., Lakshmi, V., Cosh, M.H., Drusch, M. 2005. Long-term evaluation of AMSR-E soil moisture product over the Walnut Gulch Watershed, AZ [abstract]. EOS Transactions, American Geophysical Union. 86(52), Fall Meeting Supplements, Abstract H13J-04.TEMPORAL STABILITY OF PROFILE SOIL MOISTURE

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(Peer Reviewed Journal)Starks, P.J., Heathman, G.C., Jackson, T.J., Cosh, M.H. 2006. Temporal stability of profile soil moisture. Journal of Hydrology. 324:400-411.TEMPORAL STABILITY OF SURFACE SOIL MOISTURE IN THE LITTLE WASHITA RIVER WATERSHED AND ITS APPLICATIONS IN SATELLITE SOIL MOISTURE PRODUCT VALIDATION.

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(Peer Reviewed Journal)Cosh, M.H., Jackson, T.J., Starks, P.J., Heathman, G. 2006. Temporal stability of surface soil moisture in the Little Washita River Watershed and its applications in satellite soil moisture product validation. Journal of Hydrology. 323(1-4):168-177.SOIL MOISTURE EXPERIMENTS 2004 (SMEX 04) POLARIMETRIC SCANNING RADIOMETER, AMSR-E AND HETEROGENEOUS LANDSCAPES

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(Proceedings)Jackson, T.J., Bindlish, R., Cosh, M.H., Gasiewski, A., Stankov, B., Klein, M., Weber, B., Zavorotny, V. 2005. Soil Moisture Experiments 2004 (SMEX04) polarimetric scanning radiometer, AMSR-E and heterogeneous landscapes. In: Proceedings of the International Geoscience and Remote Sensing Symposium, July 25-29, 2005, Seoul, Korea. 2:1114-1117.SOIL MOISTURE ALGORITHM VALIDATION USING DATA FROM THE ADVANCED MICROWAVE SCANNING RADIOMETER (AMSR-E)IN MONGOLIA

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(Peer Reviewed Journal)Jackson, T.J., Hurkmans, R., Hsu, A., Cosh, M. 2005. Soil moisture algorithm validation using data from the Advanced Microwave Scanning Radiometer (AMSR-E) in Mongolia.  Italian Journal of Remote Sensing. 30(31):23-32.IMPEDANCE PROBE CALIBRATION AND LARGE SCALE SOIL MOISTURE ESTIMATION DURING THE SMEX EXPERIMENTS

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(Abstract Only)Cosh, M.H., Jackson, T.J., Bindlish, R., Famiglietti, J., Ryu, D. 2005. Impedance probe calibration and large scale soil moisture estimation during the SMEX Experiments [abstract]. Joint Assembly of the American Geophysical Union. 86(18):H33C-04.A COMPARISON OF AN IMPEDANCE PROBE FOR ESTIMATION OF SURFACE SOIL WATER CONTENT OVER LARGE REGIONS

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(Peer Reviewed Journal)Cosh, M.H., Jackson, T.J., Bindlish, R., Famiglietti, J.S., Ryu, D. 2005. Calibration of an impedance probe for estimation of surface soil water content over large regions. Journal of Hydrology. 311(1-4):15Sept2005, 49-58.VARIABLITY OF SURFACE SOIL MOISTURE AT THE WATERSHED SCALE

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(Peer Reviewed Journal)Cosh, M.H., Stedinger, J.R., Brutsaert, W. 2004. Variability of surface soil moisture at the watershed scale. Water Resources Research. 40, w12513, doi:10.1029/2004WR003487.WATERSHED SCALE SURFACE SOIL MOISTURE VARIABILITY IN THE WALNUT GULCH EXPERIMENTAL WATERSHED DURING THE 2004 NORTH AMERICAN MONSOON

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(Abstract Only)Cosh, M.H., Jackson, T.J., Keefer, T.O. 2004. Watershed scale surface soil moisture variability in the Walnut Gulch Experimental Watershed during 2004 North American Monsoon [abstract]. EOS Transactions, American Geophysical Union, 85(47), Fall Meeting Supplements, Abstract H34D-04.USING OF REMOTELY SENSED SOIL MOISTURE TO DETERMINE SOIL HYDRAULIC PROPERTIES.

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(Proceedings)Rawls, W., Cosh, M., Jackson, T., Nemes, A. 2004. Use of remotely sensed soil moisture to determine soil hydraulic properties. In: Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, September 20-24, 2004, Anchorage, Alaska. 2004 CDROM.VEGETATION WATER CONTENT MAPPING USING LANDSAT DATA DERIVED NORMALIZED DIFFERENCE WATER INDEX (NDWI) FOR CORN AND SOYBEAN

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(Peer Reviewed Journal)Jackson, T., Chen, D., Cosh, M., Li, F., Anderson, M., Walthall, C., Doraiswamy, P., Hunt, E.R. 2004. Vegetation water content mapping using Landsat data normalized difference water index (NDWI) for corn and soybean. Remote Sensing of Environment. 92(4):475-482.TEMPORAL STABILITY OF THE LITTLE WASHITA WATERSHED SOIL MOISTURE MICRONET

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(Abstract Only)Cosh, M.H., Jackson, T.J., Starks, P.J., Heathman, G.C. 2004. Temporal stability of the Little Washita watershed soil moisture micronet. Abs.35, BARC Poster Day.DERIVING LAND SURFACE TEMPERATURE FROM LANDSAT 5 AND 7 DURING SMEX02/SMACEX

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(Peer Reviewed Journal)Li, F., Jackson, T.J., Kustas, W.P., Schmugge, T.J., French, A., Cosh, M.H., Bindlish, R. 2004. Deriving land surface temperature from Landsat 5 and 7 during SMEX02/SMACEX. Remote Sensing of Environment. 92(2):521-534.WATERSHED SCALE TEMPORAL PERSISTENCE OF SOIL MOISTURE AND ITS ROLE IN VALIDATING SATELLITE ESTIMATES

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(Peer Reviewed Journal)Cosh, M.H., Jackson, T.J., Bindlish, R., Prueger, J.H. 2004. Watershed scale temporal persistence of soil moisture and its role in validation satellite estimates. Remote Sensing of Environment. 92(4):427-435.SOIL MOISTURE MAPPING USING ESTAR UNDER DRY CONDITIONS FROM THE SOUTHERN GREAT PLAINS EXPERIMENT (SGP99)

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(Peer Reviewed Journal)Guha, A., Jacobs, J.M., Jackson, T.J., Cosh, M.H., Hsu, A.Y., Judge, J. 2003. Soil moisture mapping using ESTAR under dry conditions from the Southern Great Plains Experiment (SGP99).  IEEE Transactions. Geoscience and Remote Sensing. 41:2392-2397.SATELLITE SOIL MOISTURE VALIDATION USING IN SITU POINT SOURCES IN THE SOUTHERN GREAT PLAINS DURING SMEX03

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(Abstract Only)Cosh, M.H., Jackson, T.J., Starks, P.J., Heathman, G.C., Bindlish, R. 2003.Satellite soil moisture validation using in situ point sources in the southern great plains during SMEX03 [abstract]. EOS Transactions. 84(46):618.MICROSCALE STRUCTURAL ASPECTS OF VEGETATION DENSITY VARIABILITY

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(Peer Reviewed Journal)Cosh, M.H., Brutsaert, W. 2003. Microscale structural aspects of vegetation density variability. Journal of Hydrology. 276:128-136.ESTIMATION OF VEGETATION WATER CONTENT FOR CORN AND SOYBEANS WITH A NORMALIZED DIFFERENCE WATER INDEX (NDWI) USING LANDSAY THEMATIC MAPPER DATA

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(Proceedings)Chen, D., Jackson, T.J., Li, F., Cosh, M.H., Walthall, C.L., Anderson, M. 2003. Estimation of vegetation water content for corn and soybeans with a normalized difference water index (NDWI) using Landsat thermatic mapper data. International Geoscience and Remote Sensing Symposium Proceedings. IV:2853-2856.ESTIMATION OF WATERSHED SCALE SOIL MOISTURE FROM POINT MEASUREMENTS DURING SMEX02

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(Proceedings)Cosh, M.H., Jackson, T.J., Bindlish, R., Prueger, J.H. 2003. Estimation of watershed scale soil moisture from point measurements during SMEX02.  Interagency Conference on Research in the Watersheds. p.205-211.TEMPORAL STABILITY OF WATERSHED SCALE SOIL MOISTURE FROM IN-SITU POINT MEASUREMENTS IN SMEX02

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(Abstract Only)Cosh, M.H., Jackson, T.J., Bindlish, R., Prueger, J.H. 2003. Temporal Stability of Watershen Scale Soil Moisture from In-Situ Measurements in SMEX02, 2003, Abs.8. BARC Poster Day.TIME CHANGES IN SPATIAL STRUCTURE OF SURFACE VARIABILITY IN THE SOUTHERN GREAT PLAINS

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(Peer Reviewed Journal)Cosh, M.H., Stedinger, J., Brutsaert, W. 2003. Time changes in spatial structure of surface variability in southern great plains. Advances in Water Resources. 26:407-415.ESTAR BRIGHTNESS TEMPERATURES FOR SOIL MOISTURE ESTIMATION AND SPATIAL CHARACTERIZATION OF THE RETRIEVED FIELDS - A STUDY FROM SGP99

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(Abstract Only)Guha, A., Hsu, E., Jacobs, J.M., Cosh, M.H. Estar brightness temperatures for soil moisture estimating and spatial characterization of the retrieved fields-a study from SGP99. American Geophysical Union. EOS Trans. of AGU. 83:F507.ESTIMATION OF WATERSHED SCALE SOIL MOISTURE FROM POINT MEASUREMENTS IN SMEX02

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(Abstract Only)Cosh, M.H., Jackson, T.J., Bindlish, R., Prueger, J.H. 2002. Estimation of watershed scale soil moisture from point measurements in SMEX02. American Geophysical Union. EOS Trans. of AGU, 83:F507.


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