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                    U.S. DEPARTMENT OF AGRICULTURE
 Aerial Application Technology Research: College Station, TX
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ARS Home Plains Area College Station, Texas Southern Plains Agricultural Research Center Aerial Application Technology Research People & Locations







Chenghai  Yang
                        Aerial Application Technology Research

                        




                        
                        Research Agricultural Engineer
                        Phone: (979) 260-9530
                        
                        
                        Fax: (979) 260-5169(Employee information on this page comes from the REE Directory. Please contact your front office staff to update the REE Directory.)
                            ProjectsImproved Aerial Application Technologies for Precise and Effective Delivery of Crop Production Products
                                                    In-House Appropriated
                                                                    (D)Accession Number: 438007Enhancing Livestock Production from Rangelands in the Great Plains
                                                    Reimbursable Cooperative Agreement
                                                                    (R)Accession Number: 435633Remote Sensing Systems for Precision Agriculture to Address Issues in Environmental and Climate Change
                                                    Non-Assistance Cooperative Agreement
                                                                    (S)Accession Number: 438234**Publications**
                                                (Clicking on the reprint icon
                                                    Reprint Icon
                                                    will take you to the publication reprint.)Practical methods for aerial image acquisition and reflectance conversion using consumer-grade cameras on manned and unmanned aircraft

- (Peer Reviewed Journal)Applying machine learning classifiers to Sentinel-2 imagery for early identification of cotton fields to advance boll weevil eradication
                                                        

- (Peer Reviewed Journal)Yang, C., Suh, C.P. 2023. Applying machine learning classifiers to Sentinel-2 imagery for early identification of cotton fields to advance boll weevil eradication. Computers and Electronics in Agriculture. https://doi.org/10.1016/j.compag.2023.108268.Exploring effective detection and spatial pattern of Prickly Pear Cactus (Opuntia genus) from airborne imagery before and after prescribed fires in the Edwards Plateau
                                                        

- (Peer Reviewed Journal)Jaime, X., Angerer, J.P., Yang, C., Walker, J., Mata, J., Tolleson, D., Wu, X. 2023. Exploring effective detection and spatial pattern of Prickly Pear Cactus (Opuntia genus) from airborne imagery before and after prescribed fires in the Edwards Plateau. Remote Sensing. 15(16). Article 4033. https://doi.org/10.3390/rs15164033.Uncrewed aerial vehicle radiometric calibration: A comparison of auto exposure and fixed exposure images
                                                        

- (Peer Reviewed Journal)Bagnall, G.C., Thomasson, J.A., Yang, C., Wang, T., Han, X., Sima, C., Chang, A. 2023. Uncrewed aerial vehicle radiometric calibration: A comparison of auto exposure and fixed exposure images. Journal of Applied Remote Sensing (JARS). https://doi.org/10.1002/ppj2.20082.Comparisons between temporal statistical metrics, time series stacks and phenological features derived from NASA Harmonized Landsat Sentinel-2 data for crop type mapping
                                                        

- (Peer Reviewed Journal)Liu, X., Xie, S., Yang, J., Sun, L., Liu, L., Zhang, Q., Yang, C. 2023. Comparisons between temporal statistical metrics, time series stacks and phenological features derived from NASA Harmonized Landsat Sentinel-2 data for crop type mapping. Computers and Electronics in Agriculture. https://doi.org/10.1016/j.compag.2023.108015.Biology of invasive plants 4. Arundo donax L
                                                        

- (Peer Reviewed Journal)Goolsby, J., Moran, P.J., Martinez Jimenez, M., Yang, C., Canavan, K., Paynter, Q., Ota, N., Kriticos, D. 2023. Biology of invasive plants 4. Arundo donax L. Invasive Plant Science and Management. 16(2):81-109. https://doi.org/10.1017/inp.2023.17.Evaluation of spatial resolution on crop disease detection based on multiscale images and category variance ratio
                                                        

- (Peer Reviewed Journal)Zhao, H., Yang, Y., Yang, C., Song, R., Guo, W. 2023. Evaluation of spatial resolution on crop disease detection based on multiscale images and category variance ratio. Computers and Electronics in Agriculture. https://doi.org/10.1016/j.compag.2023.107743.Practical methods for aerial image acquisition and reflectance conversion using consumer cameras
                                                        

- (Proceedings)Yang, C., Fritz, B.K., Suh, C.P. 2023. Practical methods for aerial image acquisition and reflectance conversion using consumer cameras. European Conference on Precision Agriculture Proceedings. pp. 1027-1034. https://doi.org/10.3920/978-90-8686-947-3_129.Estimating rangeland fine fuel biomass in western Texas using high-resolution imagery and machine learning
                                                        

- (Peer Reviewed Journal)Li, Z., Angerer, J.P., Jaime, X., Yang, C., Wu, X. 2022. Estimating rangeland fine fuel biomass in western Texas using high-resolution imagery and machine learning. Remote Sensing. 14(17). Article 4360. https://doi.org/10.3390/rs14174360.Panicle Ratio Network: Streamlining rice panicle measurement by deep learning with ultra-high-definition aerial images in the field

- (Peer Reviewed Journal)Guo, Z., Yang, C., Yang, W., Chen, G., Jiang, Z., Wang, B., Zhang, J. 2022. Panicle Ratio Network: Streamlining rice panicle measurement by deep learning with ultra-high-definition aerial images in the field. Journal of Experimental Botany. 71(19):6575-6588.A novel composite vegetation index including solar-induced chlorophyll fluorescence for seedling rapeseed net photosynthesis rate retrieval
                                                        

- (Peer Reviewed Journal)Zhang, J., Sun, B., Yang, C., Wang, C., You, Y., Zhou, G., Liu, B., Wang, C., Kuai, J., Xie, J. 2022. A novel composite vegetation index including solar-induced chlorophyll fluorescence for seedling rapeseed net photosynthesis rate retrieval. Computers and Electronics in Agriculture. https://doi.org/10.1016/j.compag.2022.107031.Winter wheat nitrogen estimation based on ground-level and UAV-mounted sensors
                                                        

- (Peer Reviewed Journal)Song, X., Yang, G., Xu, X., Zhang, D., Yang, C., Feng, H. 2022. Winter wheat nitrogen estimation based on ground-level and UAV-mounted sensors. Sensors. https://doi.org/10.3390/s22020549.GIS-based volunteer cotton habitat prediction and plant-level detection with UAV remote sensing
                                                        

- (Peer Reviewed Journal)Wang, T., Mei, X., Thomasson, A., Yang, C., Han, X., Yadav, P., Shi, Y. 2021. GIS-based volunteer cotton habitat prediction and plant-level detection with UAV remote sensing. Computers and Electronics in Agriculture. 193. Article 106629. https://doi.org/10.1016/j.compag.2021.106629.Combining UAV-RGB high-throughput field phenotyping and genome-wide association study to reveal genetic variation of rice germplasms in dynamic response to drought stress
                                                        

- (Peer Reviewed Journal)Jiang, Z., Tu, H., Bai, B., Yang, C., Zhao, B., Guo, Z., Liu, Q., Zhao, H., Yang, W., Xiaon, L., Zhang, J. 2021. Combining UAV-RGB high-throughput field phenotyping and genome-wide association study to reveal genetic variation of rice germplasms in dynamic response to drought stress. New Phytologist. 232(1):440-455. https://doi.org/10.1111/nph.17580.Crop height estimation based on UAV images: methods, errors, and strategies
                                                        

- (Peer Reviewed Journal)Xie, T., Li, J., Yang, C., Jiang, Z., Chen, Y., Guo, L., Zhang, J. 2021. Crop height estimation based on UAV images: Methods, errors, and strategies. Computers and Electronics in Agriculture. 185:106155. https://doi.org/10.1016/j.compag.2021.106155.Retrieval of rapeseed leaf area index using the PROSAIL model with canopy coverage derived from UAV images as a correction parameter
                                                        

- (Peer Reviewed Journal)Sun, B., Wang, C., Yang, C., Xu, B., Kuai, J., Li, X., Xu, S., Liu, B., Xie, T., Zhou, G., Zhang, J. 2021. Retrieval of rapeseed leaf area index using the PROSAIL model with canopy coverage derived from UAV images as a correction parameter. International Journal of Applied Earth Observation and Geoinformation. 102:1-10. https://doi.org/10.1016/j.jag.2021.102373.Comparison of Sentinel-2, Landsat, and airborne imagery for identification of cotton fields for boll weevil eradication

- (Proceedings)Yang, C., Suh, C.P. 2021. Comparison of Sentinel-2, Landsat, and airborne imagery for identification of cotton fields for boll weevil eradication. National Cotton Council Beltwide Cotton Conference. pp. 234-239. CD-ROM.Identification of cotton root rot by multifeature selection from Sentinel-2 images using random forest
                                                        

- (Peer Reviewed Journal)Li, X., Yang, C., Huang, W., Tang, J., Tian, Y., Zhang, Q. 2020. Identification of cotton root rot by multifeature selection from Sentinel-2 images using random forest. Remote Sensing. 12:3504. https://doi.org/10.3390/rs12213504.Rapeseed stand count estimation at leaf development stages with UAV imagery and convolutional neural networks
                                                        

- (Peer Reviewed Journal)Zhang, J., Biquan, Z., Yang, C., Yeyin, S., Qingxi, L., Guanscheng, Z., Chufeng, W., Tianjin, X., Zhao, J., Dongyan, Z., Wanneng, Y., Chenglong, H., Jing, X. 2020. Rapeseed stand count estimation at leaf development stages with UAV imagery and convolutional neural networks. Frontiers in Plant Science. 11:617. https://doi.org/10.3389/fpls.2020.00617.Assessing the effect of real spatial resolution of in situ UAV multispectral images on seedling rapeseed growth monitoring
                                                        

- (Peer Reviewed Journal)Zhang, J., Wang, C., Yang, C., Xie, T., Jiang, Z., Hu, T., Luo, Z., Zhou, G., Xie, J. 2020. Assessing the effect of real spatial resolution of in situ UAV multispectral images on seedling rapeseed growth monitoring. Remote Sensing. 12:1207. https://doi.org/10.3390/rs12071207.Unmanned aerial vehicle remote sensing to delineate cotton root rot
                                                        

- (Peer Reviewed Journal)Wang, T., Thomasson, A., Yang, C., Isakeit, T., Nichols, R.L., Collett, R.M., Han, X., Bagnall, C. 2020. Unmanned aerial vehicle remote sensing to delineate cotton root rot. Journal of Applied Remote Sensing (JARS). 14(3):034522-1. https://doi.org/10.1117/1.jrs.14.034522.A plant-by-plant-level cotton root rot identification method based on UAV remote sensing
                                                        

- (Peer Reviewed Journal)Wang, T., Thomasson, A., Isakeit, T., Yang, C. 2020. A plant-by-plant-level cotton root rot identification method based on UAV remote sensing. Remote Sensing. 12:2453. https://doi.org/10.3390/rs12152453.Remote sensing technologies for crop disease and pest detection
                                                        

- (Book / Chapter)Yang, C. 2022. Remote sensing technologies for crop disease and pest detection. Book Chapter. p. 159-184. In: Li, M., Yang, C., Zhang, Q. (eds) Soil and Crop Sensing for Precision Crop Production. Agriculture Automation and Control. Springer, Cham. https://doi.org/10.1007/978-3-030-70432-2_6.Automatic estimation of crop disease severity levels based on vegetation index normalization
                                                        

- (Peer Reviewed Journal)Zhao, H., Yang, C., Guo, W., Zhang, L., Zhang, D. 2020. Automatic estimation of crop disease severity levels based on vegetation index normalization. Remote Sensing. 12:1930. https://doi.org/10.3390/rs12121930.Automatic classification of cotton root rot disease based on UAV remote sensing
                                                        

- (Peer Reviewed Journal)Wang, T., Thomasson, J.A., Yang, C., Isakeit, T., Nichols, R.L. 2020. Automatic classification of cotton root rot disease based on UAV remote sensing. Remote Sensing. 12, 1310. https://doi.org/10.3390/rs12081310.Segmenting purple rapeseed leaves in the field from UAV RGB imagery using deep learning as an auxiliary means for nitrogen stress detection
                                                        

- (Peer Reviewed Journal)Zhang, J., Xie, T., Yang, C., Song, H., Jiang, Z., Zhou, G., Zhang, D., Feng, H., Xie, J. 2020. Segmenting purple rapeseed leaves in the field from UAV RGB imagery using deep learning as an auxiliary means for nitrogen stress detection. Remote Sensing. 12, 1403. https://doi.org/10.3390/rs12091403.Temporal stability of grassland metacommunities is regulated more by community functional traits than species diversity
                                                        

- (Peer Reviewed Journal)Polley, H.W., Yang, C., Wilsey, B.J., Fay, P.A. 2020. Temporal stability of grassland metacommunities is regulated more by community functional traits than species diversity. Ecosphere. 11(7):e03178. https://doi.org/10.1002/ecs2.3178.Evaluation of a UAV-mounted consumer grade camera with different spectral modifications and two handheld spectral sensors for rapeseed growth monitoring: Performance and influencing factors
                                                        

- (Peer Reviewed Journal)Zhang, J., Wang, C., Yang, C., Jiang, Z., Zhou, G., Wang, B., Shi, Y., Zhang, D., You, L., Xie, J. 2020. Evaluation of a UAV-mounted consumer grade camera with different spectral modifications and two handheld spectral sensors for rapeseed growth monitoring: Performance and influencing factors. Precision Agriculture. https://doi.org/10.1007/s11119-020-09710-w.Identification of cotton fields using Sentinel-2 satellite imagery for boll weevil eradication

- (Proceedings)Yang, C., Suh, C.P. 2020. Identification of cotton fields using Sentinel-2 satellite imagery for boll weevil eradication. National Cotton Council Beltwide Cotton Conference. p. 128-133.UAV-based multispectral detection of plastic debris in cotton fields

- (Abstract Only)Blake, C., Sui, R., Yang, C. 2020. UAV-based multispectral detection of plastic debris in cotton fields. Meeting Abstract. 560-564.Integrating growth and environmental parameters to discriminate powdery mildew and aphid of winter wheat using bi-temporal Landsat-8 imagery
                                                        

- (Peer Reviewed Journal)Ma, H., Huang, W., Jing, Y., Yang, C., Han, L., Dong, Y., Ye, H., Shi, Y., Zheng, Q., Liu, L., Ruan, C. 2019. Integrating growth and environmental parameters to discriminate powdery mildew and aphid of winter wheat using bi-temporal Landsat-8 imagery. Remote Sensing. 11:846. https://doi.org/10.3390/rs11070846.Spectrally derived values of community leaf dry matter content link shifts in grassland composition with change in biomass production
                                                        

- (Peer Reviewed Journal)Polley, H.W., Yang, C., Wilsey, B.J., Fay, P.A. 2020. Spectrally derived values of community leaf dry matter content link shifts in grassland composition with change in biomass production. Remote Sensing in Ecology and Conservation. 6(3):344-353. https://doi.org/10.1002/rse2.145.Airborne remote sensing systems for precision agriculture

- (Peer Reviewed Journal)Yang, C. 2020. Airborne remote sensing systems for precision agriculture. Smart Agriculture. 2(1):1-22.Remote sensing and precision agriculture technologies for crop disease detection and management with a practical application example
                                                        

- (Peer Reviewed Journal)Yang, C. 2020. Remote sensing and precision agriculture technologies for crop disease detection and management with a practical application example. Engineering. 6:528-532. https://doi.org/10.1016/j.eng.2019.10.015.Remote sensing of woolly croton using manned and unmanned aerial imaging systems - A feasibility study

- (Proceedings)Yang, C., Suh, C.P., Eyster, R.S., Hong, J., Hamons, K. 2019. Remote sensing of woolly croton using manned and unmanned aerial imaging systems - A feasibility study. National Cotton Council Beltwide Cotton Conference. pp. 250.254.Aerial remote sensing surveys of Fusarium wilt of cotton near El Paso, Texas

- (Proceedings)Yang, C., Isakeit, T., Nichols, R. 2019. Aerial remote sensing surveys of Fusarium wilt of cotton near El Paso, Texas. National Cotton Council Beltwide Cotton Conference. pp. 246-249.Spectral heterogeneity predicts local-scale gamma and beta diversity of mesic grasslands
                                                        

- (Peer Reviewed Journal)Polley, H.W., Yang, C., Wilsey, B.J., Fay, P.A. 2019. Spectral heterogeneity predicts local-scale gamma and beta diversity of mesic grasslands. Remote Sensing. 11(4):458. https://doi.org/10.3390/rs11040458.A shadow-eliminated vegetation index (SEVI) for removal of self and cast shadow effects on vegetation in rugged terrains

- (Peer Reviewed Journal)Jiang, H., Wang, S., Cao, X., Yang, C., Zhang, Z., Wang, X. 2019. A shadow-eliminated vegetation index (SEVI) for removal of self and cast shadow effects on vegetation in rugged terrains. International Journal of Digital Earth. 12(9):1013-1029.Rapeseed seedling stand counting and seeding performance evaluation at two early growth stages based on unmanned aerial vehicle imagery
                                                        

- (Peer Reviewed Journal)Zhao, B., Zhang, J., Yang, C., Zhou, G., Ding, Y., Yeyin, S., Zhang, D., Xie, J., Liao, Q. 2018. Rapeseed seedling stand counting and seeding performance evaluation at two early growth stages based on unmanned aerial vehicle imagery. Frontiers in Plant Science. 9:1362. https://doi.org/10.3389/fpls.2018.01362.Image dehazing based on dark channel prior and brightness enhancement for agricultural remote sensing images from consumer-grade cameras
                                                        

- (Peer Reviewed Journal)Zhang, J., Wang, X., Yang, C., Jian, Z., He, D., Song, H. 2018. Image dehazing based on dark channel prior and brightness enhancement for agricultural remote sensing images from consumer-grade cameras. Computers and Electronics in Agriculture. 151:196-206. https://doi.org/10.1016/j.compag.2018.06.010.An index of non-sampling error in area frame sampling based on remote sensing data
                                                        

- (Peer Reviewed Journal)Wu, M., Peng, D., Qin, Y., Niu, Z., Yang, C., Li, W., Hao, P., Zhang, C. 2018. An index of non-sampling error in area frame sampling based on remote sensing data. PeerJ. 6:e5824. https://doi.org/10.7717/peerj.5824.Registration for optical multimodal remote sensing images based on FAST detection, window selection and histogram specification
                                                        

- (Peer Reviewed Journal)Zhao, X., Zhang, J., Yang, C., Song, H., Yeyin, S., Xingen, Z., Zhang, D., Zhang, G. 2018. Registration for optical multimodal remote sensing images based on FAST detection, window selection and histogram specification. Remote Sensing. 10(5):1-21. https://doi.org/10.3390/rs10050663.Mapping cotton plant height using digital surface models derived from overlapped airborne imagery

- (Proceedings)Yang, C. 2018. Mapping cotton plant height using digital surface models derived from overlapped airborne imagery. Proceedings of the Annual Precision Ag Conference. https://www.ispag.org/proceedings/?action=abstract&id=4778&search=authors.Quality assessment of radiometric calibration of UAV image mosaics

- (Proceedings)Bagnall, C., Thomasson, A., Sima, C., Yang, C. 2018. Quality assessment of radiometric calibration of UAV image mosaics. Proceedings of SPIE. 1066404.Spatial analysis of multispectral and thermal imagery from multiple platforms

- (Proceedings)Rouze, G., Neely, H., Morgan, C., Yang, C. 2018. Spatial analysis of multispectral and thermal imagery from multiple platforms. Proceedings of SPIE. 1066404T.Disease detection and mitigation in a cotton crop with UAV remote sensing

- (Proceedings)Thomasson, A., Wang, T., Wang, X., Collett, R., Yang, C., Nichols, R. 2018. Disease detection and mitigation in a cotton crop with UAV remote sensing. Proceedings of SPIE. 1066404L.Remote sensing platforms and equipment

- (Popular Publication)Yang, C. 2018. Remote sensing platforms and equipment. Agricultural Aviation. 45(3):30-34.Site-specific management of cotton root rot using airborne and high resolution satellite imagery and variable rate technology
                                                        

- (Peer Reviewed Journal)Yang, C., Odvody, G., Thomasson, J., Isakeit, T., Minzenmayer, R., David, D., Nichols, R. 2018. Site-specific management of cotton root rot using airborne and high resolution satellite imagery and variable rate technology. Transactions of the ASABE. 61(3):849-858. https://doi.org/10.13031/trans.12563.Monitoring cotton (Gossypium hirsutum L.) germination using ultrahigh-resolution UAS images

- (Peer Reviewed Journal)Chen, R., Chu, T., Landivar, J., Yang, C., Maeda, M. 2018. Monitoring cotton (Gossypium hirsutum L.) germination using ultrahigh-resolution UAS images. Precision Agriculture. 19(1):161-177.Image dehazing based on dark channel prior and brightness enhancement for agricultural monitoring

- (Peer Reviewed Journal)Wang, X., Yang, C., Jian, Z., Song, H. 2018. Image dehazing based on dark channel prior and brightness enhancement for agricultural monitoring. International Journal of Agricultural and Biological Engineering. 11(2):170-176.Aerial remote sensing survey of Fusarium wilt of cotton in New Mexico and Texas

- (Proceedings)Yang, C., Woodward, J., Nichols, R. 2018. Aerial remote sensing survey of Fusarium wilt of cotton in New Mexico and Texas. National Cotton Council Beltwide Cotton Conference. p. 550-554.Site-specific management of cotton root rot using historical remote sensing imagery

- (Proceedings)Yang, C., Odvody, G., Thomasson, J., Isakeit, T., Nichols, R. 2018. Site-specific management of cotton root rot using historical remote sensing imagery. National Cotton Council Beltwide Cotton Conference. p. 544-549.High resolution satellite imaging sensors for precision agriculture
                                                        

- (Peer Reviewed Journal)Yang, C. 2018. High resolution satellite imaging sensors for precision agriculture. Frontiers of Agricultural Science and Engineering. 5(4):393-405. https://doi.org/10.15302/j-fase-2018226.Monitoring cotton root rot by synthetic Sentinel-2 NDVI time series using improved spatial and temporal data fusion

- (Peer Reviewed Journal)Wu, M., Yang, C., Song, X., Hoffmann, W.C., Huang, W., Niu, Z., Wang, C., Wang, L. 2018. Monitoring cotton root rot by synthetic Sentinel-2 NDVI time series using improved spatial and temporal data fusion. Scientific Reports. 8:1-12.Spatial heterogeneity of subsurface soil texture drives the landscape-scale pattern of woody patches in a subtropical savanna

- (Peer Reviewed Journal)Zhou, Y., Boutton, T., Wu, B., Yang, C. 2017. Spatial heterogeneity of subsurface soil texture drives the landscape-scale pattern of woody patches in a subtropical savanna. Landscape Ecology. 32(4):915-929.Creating prescription maps from satellite imagery for site-specific management of cotton root rot

- (Proceedings)Yang, C., Song, X., Wu, M., Nichols, R. 2017. Creating prescription maps from satellite imagery for site-specific management of cotton root rot. Proceedings of the Asian Conference on Precision Agriculture, October 16-18, 2017, Hamilton, New Zealand. 2017 CDROM.Airborne and satellite remote sensors for precision agriculture

- (Book / Chapter)Yang, C. 2018. Airborne and satellite remote sensors for precision agriculture. In: J. Stafford, editor. Precision Agriculture for Sustainability. Cambridge, UK: Burleigh Dodds Science Publishing. p. 79-106.Evaluation of Sentinel-2A satellite imagery for mapping cotton root rot

- (Peer Reviewed Journal)Song, X., Yang, C., Wu, M., Yang, G., Zhao, C., Hoffmann, W.C., Huang, W. 2017. Evaluation of Sentinel-2A satellite imagery for mapping cotton root rot. Remote Sensing. 9(9):1-17.Crop classification and LAI estimation using original and resolution-reduced images from consumer-grade cameras

- (Peer Reviewed Journal)Zhang, J., Yang, C., Song, H., Hoffmann, W.C., Yeyin, S., Zhang, D., Zhang, G. 2017. Crop classification and LAI estimation using original and resolution-reduced images from consumer-grade cameras. Remote Sensing. 9(10):1-18.Site-specific management of cotton root rot using airborne and satellite imagery and variable rate technology

- (Other)Yang, C., Odvody, G., Thomasson, J., Isakeit, T., Minzenmayer, R., Drake, D., Norton, R., Barnes, E., Nichols, R. 2017. Site-specific management of cotton root rot using airborne and satellite imagery and variable rate technology. Cotton Inc., Bulletin, Cary, NC.  4 p.A case study of comparing radiometrically calibrated reflectance of an
image mosaic from unmanned aerial system with that of a single image
from manned aircraft over a same area

- (Proceedings)Shi, Y., Thomasson, J., Yang, C., Cope, D., Sim, C. 2017. A case study of comparing radiometrically calibrated reflectance of an image mosaic from unmanned aerial system with that of a single image from manned aircraft over a same area. Proceedings of SPIE. Vol. 10218, 102180B-1.Automated geographic registration and radiometric correction for UAV-based mosaics

- (Proceedings)Thomasson, J., Yeyin, S., Sim, C., Yang, C., Cope, D. 2017. Automated geographic registration and radiometric correction for UAV-based mosaics. Proceedings of SPIE. Vol. 10218, 102180K-1.Spatial variability analysis of within-field winter wheat nitrogen and grain quality using canopy fluorescence sensor measurements

- (Peer Reviewed Journal)Song, X., Yang, G., Yang, C., Wang, J., Cui, B. 2017. Spatial variability analysis of within-field winter wheat nitrogen and grain quality using canopy fluorescence sensor measurements. Remote Sensing. 9:237.Evaluation of orthomosics and digital surface models derived from aerial imagery for crop mapping

- (Peer Reviewed Journal)Wu, M., Yang, C., Song, X., Hoffmann, W.C., Huang, W., Niu, Z., Wang, C., Wang, L. 2017. Evaluation of orthomosics and digital surface models derived from aerial imagery for crop mapping. Remote Sensing. doi:10.3390/rs9030239.Integration of aerial imaging and variable-rate technology for site-specific aerial herbicide application

- (Peer Reviewed Journal)Yang, C., Martin, D.E. 2017. Integration of aerial imaging and variable-rate technology for site-specific aerial herbicide application. Transactions of the ASABE. 60(3):635-644.Aerial Identification of Individual Cotton Plants

- (Proceedings)Westbrook, J.K., Eyster, R.S., Yang, C., Suh, C.P. 2017. Aerial identification of individual cotton plants. Proceedings of the 2017 Beltwide Cotton Conferences, January 4-6, 2017, Dallas, Texas. p. 547-553.Site-specific management of cotton root rot using airborne and satellite imagery

- (Proceedings)Yang, C., Odvody, G., Thomasson, J., Isakeit, T., Drake, D., Nichols, R. 2017. Site-specific management of cotton root rot using airborne and satellite imagery. National Cotton Council Beltwide Cotton Conference. pp. 368-373. CD-ROM.Comparison of aerial imagery from manned and unmanned aircraft platforms for monitoring cotton growth

- (Proceedings)Yang, C., Landivar, J., Murilo, M., Jung, J., Starek, M., Chu, T., Chang, A. 2017. Comparison of aerial imagery from manned and unmanned aircraft platforms for monitoring cotton growth. National Cotton Council Beltwide Cotton Conference. pp. 361-367. CD-ROM.Early identification of cotton fields using mosaicked aerial multispectral imagery

- (Peer Reviewed Journal)Yang, C., Suh, C.P., Westbrook, J.K. 2017. Early identification of cotton fields using mosaicked aerial multispectral imagery. Journal of Applied Remote Sensing (JARS). 11(1):016008.Unmanned aerial vehicles for high-throughput phenotyping and agronomic research

- (Peer Reviewed Journal)Shi, Y., Thomasson, A., Murray, S., Pugh, N.A., Rooney, W.L., Shafian, S., Rajan, N., Rouze, G., Morgan, C.L., Neely, H.L., Rana, A., Bagavathiannan, M.V., Henrickson, J., Bowden, E., Valasek, J., Olsenholler, J., Bishop, M.P., Sheridan, R., Putman, E.B., Popescu, S., Burks, T., Cope, D., Ibrahim, A., McCutchen, B.F., Baltensperger, D.D., Avant, R.V., Vidrine, M., Yang, C. 2016. Unmanned aerial vehicles for high-throughput phenotyping and agronomic research. PLoS One. 11(7):e0159781.Cotton growth modeling and assessment using UAS visual-band imagery

- (Peer Reviewed Journal)Chu, T., Chen, R., Landivar, J., Maeda, M., Yang, C., Starek, M. 2016. Cotton growth modeling and assessment using UAS visual-band imagery. Journal of Applied Remote Sensing (JARS). 10(3):036018.Converting aerial imagery to application maps

- (Popular Publication)Yang, C., Hoffmann, W.C. 2016. Converting aerial imagery to application maps. Agricultural Aviation. pp. 72-74.Aerial imaging with manned aircraft for precision agriculture

- (Popular Publication)Yang, C. 2016. Aerial imaging with manned aircraft for precision agriculture. Resource Engineering and Technology for a Sustainable World. Jul/Aug 2016. 3 pp. http://www.resourcemagonline.com.Creating prescription maps from historical imagery for site-specific management of cotton root rot

- (Proceedings)Yang, C., Odvody, G., Thomasson, J., Isakeit, T., Nichols, R. 2016. Creating prescription maps from historical imagery for site-specific management of cotton root rot. Proceedings of the Annual Precision Ag Conference. https://www.ispag.org/session_detail?sid=37.Evaluation of an airborne remote sensing platform consisting of two consumer-grade cameras for crop identification

- (Peer Reviewed Journal)Zhang, J., Yang, C., Song, H., Hoffmann, W.C., Zhang, D., Zhang, G. 2016. Evaluation of an airborne remote sensing platform consisting of two consumer-grade cameras for crop identification. Remote Sensing. 8:257.Comparison of mosaicking techniques for airborne images from consumer-grade cameras

- (Peer Reviewed Journal)Song, H., Yang, C., Zhang, J., Hoffmann, W.C., He, D., Thomasson, A. 2016. Comparison of mosaicking techniques for airborne images from consumer-grade cameras. Journal of Applied Remote Sensing (JARS). 10:016030.Change detection of cotton root rot infection over a 10-year interval using airborne multispectral imagery

- (Peer Reviewed Journal)Yang, C., Odvody, G., Thomasson, J., Isakeit, T., Nichols, R. 2016. Change detection of cotton root rot infection over a 10-year interval using airborne multispectral imagery. Computers and Electronics in Agriculture. 123:154-162.Site-specific Topguard application based on aerial imagery for effective management of cotton root rot

- (Proceedings)Yang, C., Odvody, G., Thomasson, J., Isakeit, T., Nichols, R. 2016. Site-specific Topguard application based on aerial imagery for effective management of cotton root rot. Proceedings Beltwide Cotton Conference. pp. 491-496.Airborne multispectral identification of individual cotton plants using consumer-grade cameras

- (Peer Reviewed Journal)Westbrook, J.K., Eyster, R.S., Yang, C., Suh, C.P. 2016. Airborne multispectral identification of individual cotton plants using consumer-grade cameras. Remote Sensing Applications: Society and Environment. 4:37-43.Remote identification of individual volunteer cotton plants

- (Abstract Only)Westbrook, J.K., Eyster, R.S., Suh, C.P., Yang, C. 2016. Remote identification of individual volunteer cotton plants [abstract]. Proceedings of the National Cotton Council Beltwide Cotton Conferences, January 5-7, 2016, New Orleans, Louisiana. p.194.Site-specific relationships between cotton root rot and soil properties

- (Peer Reviewed Journal)Cribben, C.D., Thomasson, J.A., Ge, Y., Morgan, C.S., Yang, C., Isakeit, T., Nichols, R.L. 2016. Site-specific relationships between cotton root rot and soil properties. Journal of Cotton Science. 20:67-75.Combining fuzzy set theory and nonlinear stretching enhancement for unsupervised classification of cotton root rot

- (Peer Reviewed Journal)Song, H., Yang, C., Zhang, J., He, D., Thomasson, J.A. 2015. Combining fuzzy set theory and nonlinear stretching enhancement for unsupervised classification of cotton root rot. Journal of Applied Remote Sensing (JARS). 9:096013.A low-cost dual-camera imaging system for aerial applicators

- (Popular Publication)Yang, C., Hoffmann, W.C. 2015. A low-cost dual-camera imaging system for aerial applicators. Agricultural Aviation. 42(5):44-47.Band selection using forward feature selection algorithm for citrus Huanglongbing disease detection
                                                        

- (Peer Reviewed Journal)Katti, A.R., Lee, W., Ehsani, R., Yang, C., Mangan, R.L. 2015. Band selection using forward feature selection algorithm for citrus Huanglongbing disease detection. Biosystems Engineering. 40(4):417-427. https://doi.org/10.5307/JBE.2015.40.4.417.Effects of spray adjuvants on spray droplet size from a rotary atomizer
                                                        

- (Peer Reviewed Journal)Hoffmann, W.C., Fritz, B.K., Yang, C. 2016. Effects of spray adjuvants on spray droplet size from a rotary atomizer. American Society for Testing and Materials. 35:52-60. doi:10.1520/STP1587201400992.Feasibility study on Huanglongbing (citrus greening) detection based on WorldView-2 satellite imagery

- (Peer Reviewed Journal)Li, X., Lee, W., Li, M., Ehsani, R., Mishra, A., Yang, C. 2015. Feasibility study on Huanglongbing (citrus greening) detection based on WorldView-2 satellite imagery. Biosystems Engineering. 132:28-38.Hyperspectral image classification for mapping agricultural tillage practices

- (Peer Reviewed Journal)Ran, Q., Li, W., Du, Q., Yang, C. 2015. Hyperspectral image classification for mapping agricultural tillage practices. Journal of Applied Remote Sensing (JARS). 9:097298.A low-cost single-camera imaging system for aerial applicators

- (Peer Reviewed Journal)Yang, C., Hoffmann, W.C. 2015. A low-cost single-camera imaging system for aerial applicators. Journal of Applied Remote Sensing (JARS). 9:096064.Precision agriculture in large-scale mechanized farming

- (Book / Chapter)Yang, C., Sui, R., Lee, W. 2016. Precision agriculture in large-scale mechanized farming. In: Zhang, Q., ed., Precision Agriculture Technology for Crop Farming. CRC Press, Boca Raton, FL. p. 177-211.Early identification of cotton fields using mosaicked aerial imagery

- (Proceedings)Yang, C., Suh, C.P., Westbrook, J.K., Eyster, R.S. 2015. Early identification of cotton fields using mosaicked aerial imagery. Proceedings of the Beltwide Cotton Conference. p. 901-906.Using mosaicked airborne imagery to assess cotton root rot infection on a regional basis

- (Proceedings)Yang, C., Castillo, C., Odvody, G., Thomasson, A., Isakeit, T., Minzenmayer, R., Nichols, R. 2015. Using mosaicked airborne imagery to assess cotton root rot infection on a regional basis. Proceedings of the Beltwide Cotton Conference. p. 614-619.Using airborne imagery to monitor cotton root rot infection before and after fungicide treatment

- (Proceedings)Yang, C., Odvody, G., Minzenmayer, R., Nichols, R., Isakeit, T., Thomasson, A. 2015. Using airborne imagery to monitor cotton root rot infection before and after fungicide treatment. Proceedings of the Annual Precision Ag Conference. International Society of Precision Agriculture. Online.Airborne multispectral detection of regrowth cotton fields

- (Peer Reviewed Journal)Westbrook, J.K., Suh, C.P., Yang, C., Lan, Y., Eyster, R.S. 2015. Airborne multispectral detection of regrowth cotton fields. Journal of Applied Remote Sensing (JARS). 9(1):096081.A Low-Cost Imaging System for Aerial Applicators

- (Other)Yang, C., Hoffmann, W.C. 2014. A Low-Cost Imaging System for Aerial Applicators. Agricultural Aviation. 41(6):45-51.Biological studies and field observations in Europe of Lasioptera donacis potential biological control agent of giant reed, Arundo donax, an invasive weed of the Rio Grande Basin of Texas and Mexico

- (Proceedings)Establishment and spread of a single parthenogenic genotype of the Mediterranean arundo wasp, Tetramesa romana in the variable climate of Texas
                                                        

- (Peer Reviewed Journal)Goolsby, J., Gaskin, J.F., Tarin, D.V., Pepper, A., Henne, D.C., Auclair, A., Racelis, A.E., Summy, K.R., Moran, P.J., Thomas, D.B., Yang, C., Jimenez, M., Ciompwelik, M.J., Perez De Leon, A.A., Kirk, A.A. 2014. Establishment and spread of a single parthenogenic genotype of the Mediterranean arundo wasp, Tetramesa romana in the variable climate of Texas. Southwestern Entomologist. 39(4):675-690.Evaluating unsupervised and supervised image classification methods for mapping cotton root rot

- (Peer Reviewed Journal)Yang, C., Odvody, G.N., Fernandez, C.J., Landivar, J.A., Minzenmayer, R.R., Nichols, R.L. 2015. Evaluating unsupervised and supervised image classification methods for mapping cotton root rot. Precision Agriculture. 16:201-215.An airborne multispectral imaging system based on two consumer-grade cameras for agricultural remote sensing

- (Peer Reviewed Journal)Yang, C., Westbrook, J.K., Suh, C.P., Martin, D.E., Hoffmann, W.C., Lan, Y., Fritz, B.K., Goolsby, J. 2014. An airborne multispectral imaging system based on two consumer-grade cameras for agricultural remote sensing. Remote Sensing. 6:5257-5278.Extended spectral angle mapping (ESAM) for citrus greening disease detection using airborne hyperspectral imaging

- (Peer Reviewed Journal)Li, H., Lee, W., Wang, K., Ehsani, R., Yang, C. 2014. Extended spectral angle mapping (ESAM) for citrus greening disease detection using airborne hyperspectral imaging. Precision Agriculture. 15:162-183.Temporal variability of spectral reflectance and estimated canopy cover of cotton plants supports early detection of potential boll weevil infestations

- (Proceedings)Westbrook, J.K., Suh, C.P., Yang, C., Eyster, R.S. 2014. Temporal variability of spectral reflectance and estimated canopy cover of cotton plants supports early detection of potential boll weevil infestations [abstract]. Proceedings of the Beltwide Cotton Conferences. p. 863-868.Monitoring cotton root rot infection in fungicide-treated cotton fields using airborne imagery

- (Proceedings)Yang, C., Odvody, G., Minzenmayer, R., Nichols, R., Isakeit, T., Thomasson, A., Fernandez, C., Landivar, J. 2014. Monitoring cotton root rot infection in fungicide-treated cotton fields using airborne imagery. Proceedings of the Beltwide Cotton Conference. pp. 439-446.Remote sensing of vegetative cotton to assist boll weevil eradication

- (Proceedings)Yang, C., Suh, C.P., Westbrook, J.K., Eyster, R.S. 2014. Remote sensing of vegetative cotton to assist boll weevil eradication. Proceedings of Beltwide Cotton Conference. p. 766-770.Monitoring cotton root rot progression within a growing season using airborne multispectral imagery

- (Peer Reviewed Journal)Yang, C., Odvody, G.N., Fernandez, C.J., Landivar, J.A., Minzenmayer, R.R., Nichols, R.L., Thomasson, J.A. 2014. Monitoring cotton root rot progression within a growing season using airborne multispectral imagery. Journal of Cotton Science. 18:85-94.Remote sensing and aerial application

- (Popular Publication)Yang, C., Hoffmann, W.C., Fritz, B.K. 2013. Remote sensing and aerial application. Agricultural Aviation. 40(5):23-25.A two-camera imaging system for pest detection and aerial application

- (Abstract Only)Yang, C., Hoffmann, W.C., Martin, D.E., Lan, Y., Fritz, B.K., Westbrook, J.K., Suh, C.P. 2013. A two-camera imaging system for pest detection and aerial application. ASABE Annual International Meeting. Paper No. 131598742.Using airborne multispectral imagery to monitor cotton root rot progression in fungicide-treated and non-treated cotton fields

- (Abstract Only)Yang, C., Odvody, G.N., Fernandez, C.J., Landivar, J.A., Minzenmayer, R.R., Nichols, R.L. 2013. Using airborne multispectral imagery to monitor cotton root rot progression in fungicide-treated and non-treated cotton fields. ASABE Annual International Meeting. Paper No. 131619135.An application of soft sets in weed identification

- (Proceedings)Li, P., He, D., Qiao, Y., Yang, C. 2013. An application of soft sets in weed identification. ASABE Annual International Meeting. Paper No. 131620222.Ground-based technologies for cotton root rot control: Results from a three-year experiment

- (Proceedings)Cribben, C.D., Thomasson, J.A., Ge, Y., Morgan, C.L., Yang, C., Nichols, R.L. 2013. Ground-based technologies for cotton root rot control: Results from a three-year experiment. Proc. Beltwide Cotton Conf. pp. 513-521.Evaluating airborne hyperspectral imagery for mapping saltcedar infestations in west Texas

- (Peer Reviewed Journal)Yang, C., Everitt, J.H., Fletcher, R.S. 2013. Evaluating airborne hyperspectral imagery for mapping saltcedar infestations in west Texas. Journal of Applied Remote Sensing (JARS). 7(1):073556 (May 29, 2013). doi: 10.1117/1.JRS.7.073556.Using airborne imagery to monitor cotton root rot progression in fungicide-treated and untreated cotton fields

- (Proceedings)Yang, C., Odvody, G.N., Fernandez, C.J., Landivar, J.A., Minzenmayer, R.R., Nichols, R.L. 2013. Using airborne imagery to monitor cotton root rot progression in fungicide-treated and untreated cotton fields. Proceedings of the Beltwide Cotton Conferences. pp. 507-512.Effects of image spatial and radiometric resolutions on the detection of cotton plants

- (Proceedings)Yang, C., Westbrook, J.K., Suh, C.P., Lan, Y., Eyster, R.S. 2013. Effects of image spatial and radiometric resolutions on the detection of cotton plants. National Cotton Council Beltwide Cotton Conference. pp. 500-506.Fusion of remotely sensed data from airborne and ground-based sensors to enhance detection of cotton plants

- (Peer Reviewed Journal)Zhang, H., Lan, Y., Suh, C.P., Westbrook, J.K., Hoffmann, W.C., Yang, C., Huang, Y. 2013. Fusion of remotely sensed data from airborne and ground-based sensors to enhance detection of cotton plants. Computers and Electronics in Agriculture. 93:55-59.Remote identification of potential boll weevil host plants: Airborne multispectral detection of regrowth cotton

- (Proceedings)Westbrook, J.K., Suh, C.P., Yang, C., Lan, Y., Eyster, R.S. 2013. Remote identification of potential boll weevil host plants: Airborne multispectral detection of regrowth cotton. National Cotton Council Beltwide Cotton Conference. pp. 1178-1184.Precision agricultural systems

- (Book / Chapter)Yang, C., Lee, W. 2013. Precision agricultural systems. In: Zhang, Q., Pierce, F.J., editors. Agricultural Automation: Fundamentals and Practices. Springer. p. 63-94.Hyperspectral imagery for mapping crop yield for precision agriculture

- (Book / Chapter)Yang, C. 2015. Hyperspectral imagery for mapping crop yield for precision agriculture. In: Park, B., Lu, R., editors. Hyperspectral Imaging Technology in Food and Agriculture. New York, NY: Springer Verlag. p. 289-304, DOI: 10.1007/978-1-4939-2836-1_12.Spectral angle mapper (SAM) based citrus greening disease detection using airborne hyperspectral imaging

- (Proceedings)Li, H., Lee, W.S., Wang, K., Ehsani, R., Yang, C. 2012. Spectral angle mapper (SAM) based citrus greening disease detection using airborne hyperspectral imaging. International Symposium on Precision Agriculture. CDROM.Using hyperspectral reflectance data to assess biocontrol damage to giant salvinia

- (Peer Reviewed Journal)Everitt, J.H., Yang, C., Summy, K.R., Nachtrieb, J.G. 2013. Using hyperspectral reflectance data to assess biocontrol damage to giant salvinia. Geocarto International. 28(6):502-516.Distribution of wild taro (Colocasia esculenta) in subtropical Texas, growth of young colonies, and tolerance to simulated herbivory

- (Peer Reviewed Journal)Moran, P.J., Yang, C. 2012. Distribution of wild taro (Colocasia esculenta) in subtropical Texas, growth of young colonies, and tolerance to simulated herbivory. Subtropical Plant Science. 64:18-28.A high-resolution airborne four-camera imaging system for agricultural remote sensing

- (Peer Reviewed Journal)Yang, C. 2012. A high-resolution airborne four-camera imaging system for agricultural remote sensing. Computers and Electronics in Agriculture. 88:13-24.Evaluating spectral measures derived from airborne multispectral imagery for detecting cotton root rot

- (Proceedings)Yang, C., Odvody, G.N., Fernandez, C.J., Landivar, J.A., Nichols, R.L. 2012. Evaluating spectral measures derived from airborne multispectral imagery for detecting cotton root rot. Proceedings, 11th International Conference on Precision Agriculture, July 15-18, 2012, Indianapolis, Indiana. CD-ROM.Using high resolution airborne and satellite imagery to assess crop growth and yield variability for precision agriculture

- (Peer Reviewed Journal)Yang, C., Everitt, J.H., Du, Q., Luo, B., Chanussot, J. 2013. Using high resolution airborne and satellite imagery to assess crop growth and yield variability for precision agriculture. Proceedings of the Institute of Electrical and Electronics Engineers. 101:582-592.Research progress on real-time measurement of soil attributes for precision agriculture

- (Peer Reviewed Journal)He, D., Yang, C., Yang, Q., Lan, Y., Yang, F., Zhao, Y. 2012. Research progress on real-time measurement of soil attributes for precision agriculture. Transactions of the Chinese Society of Agricultural Engineering. 28(7):78-85.Citrus greening detection using airborne hyperspectral and multispectral imaging techniques

- (Peer Reviewed Journal)Kumar, A., Lee, W.S., Ehsani, R., L., A.G., Yang, C., Mangan, R.L. 2012. Citrus greening detection using airborne hyperspectral and multispectral imaging techniques. Journal of Applied Remote Sensing (JARS). 6:063542.Crop yield estimation based on unsupervised linear unmixing of multidate hyperspectral imagery

- (Peer Reviewed Journal)Luo, B., Yang, C., Chanussot, J. 2013. Crop yield estimation based on unsupervised linear unmixing of multidate hyperspectral imagery. IEEE Transactions on Geoscience and Remote Sensing. 51:162-173.Spectral difference analysis and airborne imaging classification for citrus greening infected trees

- (Peer Reviewed Journal)Li, X., Lee, W.S., Li, M., Ehsani, R., Mishra, A.R., Yang, C., Mangan, R.L. 2012. Spectral difference analysis and airborne imaging classification for citrus greening infected trees. Computers and Electronics in Agriculture. 83:32-46.Assessing cotton defoliation, regrowth control and root rot infection using remote sensing technology

- (Peer Reviewed Journal)Yang, C., Greenberg, S.M., Everitt, J.H., Fernandez, C.J. 2011. Assessing cotton defoliation, regrowth control and root rot infection using remote sensing technology. International Journal of Agricultural and Biological Engineering. 4(4):1-11.Applying six classifiers to airborne hyperspectral imagery for detecting giant reed

- (Peer Reviewed Journal)Yang, C., Goolsby, J., Everitt, J.H., Du, Q. 2012. Applying six classifiers to airborne hyperspectral imagery for detecting giant reed. Geocarto International. 27(5):413-424.Research progress on real-time measurement of soil attributes for precision agriculture

- (Proceedings)He, D., Yang, C., Yang, Q., Lan, Y., Yang, F., Zhao, Y. 2011. Research progress on real-time measurement of soil attributes for precision agriculture. Chinese Society of Agricultural Engineers. CDROM.Fusion of remotely sensed data from airborne and ground-based sensors for cotton regrowth study

- (Proceedings)Lan, Y., Zhang, H., Suh, C.P., Westbrook, J.K., Hoffmann, W.C., Yang, C., Huang, Y. 2011. Fusion of remotely sensed data from airborne and ground-based sensors for cotton regrowth study. ASA-CSSA-SSSA Proceedings. CD-ROM.Multimodal cues drive host-plant assessment in Asian citrus psyllid (Diaphorina citri)

- (Peer Reviewed Journal)Patt, J.M., Meikle, W.G., Mafra-Neto, A., Setamou, M., Mangan, R.L., Yang, C., Malik, N.S., Adamczyk Jr, J.J. 2011. Multimodal cues drive host-plant assessment in Asian citrus psyllid (Diaphorina citri). Environmental Entomology. 40(6):1494-1502.Using spectral distance, spectral angle, and plant abundance derived from hyperspectral imagery to characterize crop yield variation

- (Peer Reviewed Journal)Yang, C. 2012. Using spectral distance, spectral angle, and plant abundance derived from hyperspectral imagery to characterize crop yield variation. Precision Agriculture. 13(1):62-75.Mapping giant reed along the Rio Grande using airborne and satellite imagery

- (Proceedings)Yang, C., Everitt, J.H., Goolsby, J., Racelis, A.E. 2011. Mapping giant reed along the Rio Grande using airborne and satellite imagery. International Symposium on Biological Control of Weeds. CDROM.Mapping invasive weeds and their control with spatial information technologies

- (Abstract Only)Comparison of different detection methods for citrus greening disease based on airborne multispectral and hyperspectral imagery

- (Proceedings)Li, X., Lee, W.S., Li, M., Ehsani, R., Mishra, A.R., Yang, C., Mangan, R.L. 2011. Comparison of different detection methods for citrus greening disease based on airborne multispectral and hyperspectral imagery.  ASABE Paper No. 1110570. St. Joseph, Mich.: ASABE.Mapping cotton root rot infestations over a 10-year interval with airborne multispectral imagery

- (Proceedings)Yang, C., Odvody, G.N., Fernandez, C.J., Landivar, J.A., Nichols, R.L. 2011. Mapping cotton root rot infestations over a 10-year interval with airborne multispectral imagery. ASABE Paper No. 1110930. St. Joseph, Mich.:ASABE.Linear unmixing of multidate hyperspectral imagery for crop yield estimation

- (Proceedings)Luo, B., Yang, C., Chanussot, J. 2011. Linear unmixing of multidate hyperspectral imagery for crop yield estimation. IEEE IGARSS Annual Proceedings. 2011 CDROM.Applying spectral unmixing and support vector machine to airborne hyperspectral imagery for detecting giant reed

- (Proceedings)Yang, C., Goolsby, J., Everitt, J.H., Du, Q. 2011. Applying spectral unmixing and support vector machine to airborne hyperspectral imagery for detecting giant reed. IEEE IGARSS Annual Proceedings. 2011 CDROM.Mapping giant reed (Arundo donax) infestations along the Texas-Mexico portion of the Rio Grande using aerial photography

- (Peer Reviewed Journal)Yang, C., Everitt, J.H., Goolsby, J. 2011. Mapping giant reed (Arundo donax) infestations along the Texas-Mexico portion of the Rio Grande using aerial photography. Journal of Invasive Plant Science and Management. 4:402-410.Remote sensing for detecting and mapping whitefly (Bemisia tabaci) infestations

- (Book / Chapter)Yang, C., Everitt, J.H. 2011. Remote sensing for detecting and mapping whitefly (Bemisia tabaci) infestations. In: Thompson, W.M.O., editor. The Whitefly, Bemisia tabaci (Homoptera: Aleyrodidae) Interaction with Geminivirus-Infected Host Plants. 1st edition. Springer Netherlands. p. 357-381.Employing airborne multispectral digital imagery to map Brazilian pepper infestation in south Texas.

- (Peer Reviewed Journal)Fletcher, R.S., Everitt, J.H., Yang, C. 2011. Employing airborne multispectral digital imagery to map Brazilian pepper infestation in south Texas. Geocarto International. 26(7):527-536.Density-dependent impacts of the arundo scale (Rhizaspidiotus donacis) on the productivity and physiology of giant reed

- (Abstract Only)Racelis, A.E., Moran, P.J., Yang, C., Goolsby, J. 2011. Density-dependent impacts of the arundo scale (Rhizaspidiotus donacis) on the productivity and physiology of giant reed. Meeting Abstract. CDROM.Using in situ hyperspectral reflectance data to distinquish nine aquatic plant species

- (Peer Reviewed Journal)Everitt, J.H., Yang, C., Summy, K.R., Owens, C.S., Glomski, L.M., Smart, R.M. 2011. Using in situ hyperspectral reflectance data to distinquish nine aquatic plant species. Geocarto International. 26(6):459-473.Plant level impacts of the arundo scale (Rhizaspidiotus donacis) on growth and eco-physiology of the invasive giant reed

- (Abstract Only)Racelis, A.E., Moran, P.J., Yang, C., Goolsby, J. 2011. Plant level impacts of the arundo scale (Rhizaspidiotus donacis) on growth and eco-physiology of the invasive giant reed. Meeting Abstract. CDROM.Using airborne multispectral imagery to monitor cotton root rot expansion within a growing season

- (Proceedings)Yang, C., Odvody, G.N., Fernandez, C.J., Landivar, J.A., Minzenmayer, R.R., Nichols, R.L. 2011. Using airborne multispectral imagery to monitor cotton root rot expansion within a growing season. National Cotton Council Beltwide Cotton Conference. CDROM.Evaluation of hyperspectral reflectance data for discriminating among six aquatic weeds

- (Peer Reviewed Journal)Everitt, J.H., Yang, C., Summy, K.R., Glomski, L.M., Owens, C.S. 2011. Evaluation of hyperspectral reflectance data for discriminating among six aquatic weeds. Journal of Aquatic Plant Management. 49:94-100.Ground-based technologies for cotton root rot control

- (Proceedings)Cribben, C.D., Thomasson, J.A., Ge, Y., Korte, M.D., Morgan, C.L., Yang, C., Nichols, R.L. 2011. Ground-based technologies for cotton root rot control. National Cotton Council Beltwide Cotton Conference. CDROM.Monitoring cotton root rot progression within and across growing seasons using remote sensing

- (Proceedings)Yang, C., Odvody, G.N., Fernandez, C.J., Landivar, J.A., Minzenmayer, R.R., Nichols, R.L. 2012. Monitoring cotton root rot progression within and across growing seasons using remote sensing. National Cotton Council Beltwide Cotton Conference. 475-480.Ground-based technologies for cotton root rot control: an update

- (Proceedings)Cribben, C.D., Thomasson, J.A., Ge, Y., Korte, M.D., Morgan, C.L., Yang, C., Nichols, R.L. 2012. Ground-based technologies for cotton root rot control: an update. National Cotton Council Beltwide Cotton Conference. 481-486.Estimating water use by giant reed along the Rio Grande River using a large aperture scintillometer

- (Peer Reviewed Journal)Gowda, P., Goolsby, J., Yang, C., Basu, S., Racelis, A.E., Howell, T.A. 2011. Estimating water use by giant reed along the Rio Grande River using a large aperture scintillometer. Subtropical Plant Science. 63:1-6.Identifying saltcedar with hyperspectral data and support vector machines

- (Peer Reviewed Journal)Fletcher, R.S., Everitt, J.H., Yang, C. 2011. Identifying saltcedar with hyperspectral data and support vector machines. Geocarto International. 26(3):195-209.Improving urban land use and land cover classification from high-spatial-resolution hyperspectral imagery using contextual information

- (Peer Reviewed Journal)Yang, H., Ma, B., Du, Q., Yang, C. 2010. Improving urban land use and land cover classification from high-spatial-resolution hyperspectral imagery using contextual information. Journal of Applied Remote Sensing. 4:041890.Evaluating high resolution SPOT 5 satellite imagery for crop identification

- (Peer Reviewed Journal)Yang, C., Everitt, J.H., Murden, D. 2011. Evaluating high resolution SPOT 5 satellite imagery for crop identification. Computers and Electronics in Agriculture. 75:347-354.Sensing technologies for precision specialty crop production

- (Review Article)Lee, W.S., Alchanatis, V., Yang, C., Hirafuji, M., Moschou, D., Li, C. 2010. Sensing technologies for precision specialty crop production. Computers and Electronics in Agriculture. 74:2-33.Comparison of airborne multispectral and hyperspectral imagery for mapping cotton root rot

- (Peer Reviewed Journal)Yang, C., Fernandez, C.J., Everitt, J.H. 2010. Comparison of airborne multispectral and hyperspectral imagery for mapping cotton root rot. Biosystems Engineering. 107:131-139.Citrus greening disease detection using airborne multispectral and hyperspectral imaging

- (Proceedings)Kumar, A., Lee, W.S., Ehsani, R., Albrigo, L.G., Yang, C., Mangan, R.L. 2010. Citrus greening disease detection using airborne multispectral and hyperspectral imaging. International Symposium on Precision Agriculture. 2010 CDROM.Unsupervised linear unmixing of hyperspectral image for crop yield estimation

- (Proceedings)Luo, B., Yang, C., Chanussot, J. 2010. Unsupervised linear unmixing of hyperspectral image for crop yield estimation. Institute of Electrical and Electronics Engineers Proceedings Fuzzy Systems. CDROM.Applying linear spectral unmixing to airborne hyperspectral imagery for mapping yield variability in grain sorghum and cotton fields

- (Peer Reviewed Journal)Yang, C., Everitt, J.H., Du, Q. 2010. Applying linear spectral unmixing to airborne hyperspectral imgery for mapping yield variability in grain sorghum and cotton fields. Journal of Applied Remote Sensing. 4:041887.Use of spectral distance, spectral angle, and plant abundance derived from hyperspectral imagery to characterize crop growth variation

- (Proceedings)Yang, C. 2010. Use of spectral distance, spectral angle, and plant abundance derived from hyperspectral imagery to characterize crop growth variation. International Symposium on Precision Agriculture. CDROM.An airborne four-camera imaging system for agricultural applications

- (Proceedings)Yang, C. 2010. An airborne four-camera imaging system for agricultural applications. ASABE Annual International Meeting. ASABE paper no. 1008856.Multisensor data fusion of remotely sensed imagery for crop field mapping

- (Proceedings)Lan, Y., Zhang, H., Yang, C., Zhao, K., Huang, Y., Hoffmann, W.C., Lacey, R. 2010. Multisensor data fusion of remotely sensed imagery for crop field mapping. International Conference on Precision Agriculture Abstracts & Proceedings. CDROM.Spectral Unmixing of airborne hyperspectral imagery for mapping giant reed infestations

- (Proceedings)Yang, C., Du, Q., James, E.H., Goolsby, J., Younan, N.H. 2010. Spectral Unmixing of airborne hyperspectral imagery for mapping giant reed infestations. Institute of Electrical and Electronics Engineers. CDROM.Spatial information technologies for climate change impact on ecosystems: detecting and mapping invasive weeds in the Rio Grande River system of south Texas

- (Proceedings)Sriharan, S., James, E.H., Yang, C. 2010. Spatial information technologies for climate change impact on ecosystems: detecting and mapping invasive weeds in the Rio Grande River system of south Texas. Meeting Abstract. CDROM.Using aerial photography for mapping giant reed infestations along the Texas-Mexico portion of the Rio Grande.

- (Proceedings)Yang, C., Everitt, J.H., Goolsby, J. 2010. Using aerial photography for mapping giant reed infestations along the Texas-Mexico portion of the Rio Grande. American Society for Photogrammetry and Remote Sensing Proceedings. CDROM.Using airborne hyperspectral imagery for mapping saltcedar infestations in west Texas

- (Proceedings)Yang, C., Everitt, J.H., Fletcher, R.S. 2010. Using airborne hyperspectral imagery for mapping saltcedar infestations in west Texas. American Society for Photogrammetry and Remote Sensing Proceedings. CDROM.Mapping invasive weeds using airborne hyperspectral imagery

- (Peer Reviewed Journal)Yang, C., Everitt, J.H. 2010. Mapping invasive weeds using airborne hyperspectral imagery. Ecological Informatics. 5:429-439.Artificial infestations of transgenic cotton with beet armyworm (Lepidoptera: Noctuidae) and evaluation of insect mortality and damage under field conditions

- (Proceedings)Greenberg, S.M., Adamczyk Jr, J.J., Yang, C. 2010. Artificial infestations of transgenic cotton with beet armyworm (Lepidoptera: Noctuidae) and evaluation of insect mortality and damage under field conditions. National Cotton Council Beltwide Cotton Conference. CDROM.Using aerial photography and image analysis to measure changes in giant reed populations

- (Peer Reviewed Journal)Everitt, J.H., Yang, C. 2010. Using aerial photography and image analysis to measure changes in giant reed populations. Journal of Aquatic Plant Management. 48:47-51.Application of scintillometry to estimate water use by giant reed (Arndo Donax L.)- A perennial invasive weed along the Rio Grande River near Laredo, Texas

- (Abstract Only)Gowda, P., Goolsby, J., Howell, T.A., Yang, C., Basu, S. 2012. Application of scintillometry to estimate water use by giant reed (Arndo Donax L.)- A perennial invasive weed along the Rio Grande River near Laredo, Texas. International Conference on Tropical and Subtropical Plant Diseases, January 25, 2010, Weslaco, Texas. 2010 CDROM.Airborne and satellite imagery for mapping crop yield variability and other precision agriculture applications

- (Proceedings)Yang, C., Everitt, J.H., Bradford, J.M., Anderson, G.L. 2009. Airborne and satellite imagery for mapping crop yield variability and other precision agriculture applications. Asian Conference on Precision Agriculture. CDROM.Mathematical models of water application for a variable rate irrigating hill-seeder

- (Proceedings)Yang, S., Yang, Q., Yang, C. 2009. Mathematical models of water application for a variable rate irrigating hill-seeder. Asian Conference on Precision Agriculture. CDROM.Economic implications for the biological control of Arundo donax: Rio Grande Basin

- (Peer Reviewed Journal)Seawright, E.K., Rister, E.M., Lacewell, R.D., McCorkle, D.A., Sturdivant, A.W., Yang, C., Goolsby, J. 2009. Economic implications for the biological control of Arundo donax: Rio Grande Basin. Southwestern Entomologist. 34(4):377-394.Mathematic models of water application for a variable rate irrigating hill-seeder

- (Peer Reviewed Journal)Yang, S., Yang, Q., Yang, C. 2009. Mathematic models of water application for a variable rate irrigating hill-seeder. Transactions of the Chinese Society of Agricultural Engineering. 40(suppl.):41-44.Economic implications for the biological control of Arundo donax: Rio Grande Basin

- (Peer Reviewed Journal)Seawright, E.K., Rister, M.E., Lacewell, R.D., McCorkle, D.A., Sturdivant, A.W., Yang, C., Goolsby, J. 2009. Economic implications for the biological control of Arundo donax: Rio Grande Basin. Southwestern Entomologist. 34(4):377-393.Airborne hyperspectral imagery for mapping crop yield variability

- (Peer Reviewed Journal)Yang, C. 2009. Airborne hyperspectral imagery for mapping crop yield variability. Geography Compass. 3(5):1717-1731.Design and Application of a Normal Difference Vegetation Index Portable Sensing Device

- (Proceedings)Yang, Q., Li, Y., Xing, Z., Yang, C., Wang, Z. 2009. Design and application of a normal difference vegetation index portable sensing device. ASABE Annual International Meeting. ASABE Paper No. 03-3582.Evaluation of a Variable Rate Irrigating Hill-Seeder

- (Proceedings)Yang, Q., Yang, S., Yang, C. 2009. Evaluation of a Variable Rate Irrigating Hill-Seeder. ASABE Annual International Meeting. ASABE Paper No. 08-3583.Spectral reflectance and digital image relations among five aquatic weeds

- (Peer Reviewed Journal)Everitt, J.H., Summy, K.R., Glomski, L.M., Owens, C.S., Yang, C. 2009. Spectral reflectance and digital image relations among five aquatic weeds. Geocarto International. 61:15-23.Applying linear spectral unmixing to airborne hyperspectral imagery for mapping crop yield variability.

- (Proceedings)Yang, C., Everitt, J.H., Bradford, J.M. 2009. Applying linear spectral unmixing to airborne hyperspectral imagery for mapping crop yield variability. Proceedings of IEEE International Conference on Image Processing. CDROM.Mapping an Annual Weed with Color-infrared Photography and Image Analysis

- (Peer Reviewed Journal)Everitt, J.H., Yang, C., Davis, M.R. 2010. Mapping an annual weed with color-infrared photography and image analysis. Geocarto International. 25(1):45-52.Hyperspectral Remote Sensing-Sensors and Applications

- (Book / Chapter)Jensen, R.R., Yang, C. 2009. Hyperspectral remote sensing-sensors and applications. Manual of Remote Sensing. 1.1:205-224.Comparison of airborne multispectral and hyperspectral imagery for mapping cotton root rot

- (Proceedings)Yang, C., Fernandez, C.J., Everitt, J.H. 2009. Comparison of airborne multispectral and hyperspectral imagery for mapping cotton root rot. ASABE Annual International Meeting. ASABE Paper No. 09-6004.Using QuickBird satellite imagery to estimate giant reed infestations in the Rio Grande Basin of Mexico

- (Peer Reviewed Journal)Yang, C., Goolsby, J., Everitt, J.H. 2009. Using QuickBird satellite imagery to estimate giant reed infestations in the Rio Grande Basin of Mexico. Journal of Applied Remote Sensing. 3:033530.Comparison of hyperspectral imagery with aerial photography and multispectral imagery for mapping broom snakeweed

- (Peer Reviewed Journal)Yang, C., Everitt, J.H. 2010. Comparison of hyperspectral imagery with aerial photography and multispectral imagery for mapping broom snakeweed. International Journal of Remote Sensing. 31(20):5423-5438.Evaluating high resolution SPOT 5 satellite imagery for crop yield estimation

- (Peer Reviewed Journal)Yang, C., Everitt, J.H., Bradford, J.M. 2009. Evaluating high resolution SPOT 5 satellite imagery for crop yield estimation. Precision Agriculture. 10(4):292-303.Controlled release fungicide, soil amendments and biofumigation effects on cotton root rot suppression

- (Proceedings)Matocha, J.E., Gentry, T., Greenberg, S.M., Bradford, J.M., Yang, C., Wilborn, J., Nichols, R. 2009. Controlled release fungicide, soil amendments and biofumigation effects on cotton root rot suppression. National Cotton Council Beltwide Cotton Conference. 1245-1248. CDROM.Comparison of airborne multispectral and hyperspectral imagery for estimating grain sorghum yield

- (Peer Reviewed Journal)Yang, C., Everitt, J.H., Bradford, J.M., Murden, D. 2009. Comparison of airborne multispectral and hyperspectral imagery for estimating grain sorghum yield. Transactions of the ASABE. 52(2):641-649.Use of archive aerial photography for monitoring black mangrove populations

- (Peer Reviewed Journal)Everitt, J.H., Yang, C., Davis, M.R. 2010. Use of archive aerial photography for monitoring black mangrove populations. Journal of Coastal Research. 26(4):649-653.Remote sensing for assessing cotton defoliation, regrowth control and root rot

- (Proceedings)Yang, C., Greenberg, S.M., Everitt, J.H., Fernandez, C.J. 2009. Remote sensing for assessing cotton defoliation, regrowth control and root rot. Meeting Proceedings. CDROM.Mapping riparian and wetland weeds with high resolution satellite imagery

- (Proceedings)Everitt, J.H., Sriharan, S., Yang, C., Fletcher, R.S. 2008. Mapping riparian and wetland weeds with high resolution satellite imagery. Geoscience and Remote Sensing Symposium Proceedings. CDROM.Remote Sensing of Exotic Invasive Weeds in the Rio Grande System of Texas

- (Peer Reviewed Journal)Everitt, J.H., Yang, C., Davis, M.R. 2009. Remote sensing of exotic invasive weeds in the Rio Grande System of Texas. Subtropical Plant Science. 60:38-57.Development and impact of biological control of giant reed, Arundo donax, in the Rio Grande Basin of the U.S. and Mexico

- (Abstract Only)Goolsby, J., Moran, P.J., Everitt, J.H., Yang, C., Contreras-Arquieta, B., Watts, D., Moore, G., Spencer, D.F., Seaqright, E., Lacewell, R. 2008. Development and impact of biological control of giant reed, Arundo donax, in the Rio Grande Basin of the U.S. and Mexico. Meeting Abstract. CDROM.Evaluating AISA+ hyperspectral imagery for mapping black mangrove along the South Texas Gulf Coast

- (Peer Reviewed Journal)Yang, C., Everitt, J.H., Fletcher, R.S., Jensen, R.R., Mausel, P.W. 2009. Evaluating AISA+ hyperspectral imagery for mapping black mangrove along the South Texas Gulf Coast. Photogrammetric Engineering and Remote Sensing. 75(4):425-435.Using High Resolution SPOT 5 Multispectral Imagery for Crop Identification

- (Proceedings)Yang, C., Everitt, J.H., Fletcher, R.S. 2008. Using high resolution SPOT 5 multispectral imagery for crop identification. ASABE Annual International Meeting. ASABE paper No. 08-3598.Evaluating SPOT 5 Multispectral Imagery for Crop Yield Estimation

- (Proceedings)Yang, C., Everitt, J.H., Bradford, J.M. 2008. Evaluating SPOT 5 multispectral imagery for crop yield estimation. Precision Agriculture. (CDROM)Using Airborne and Satellite Imagery to Distinguish and Map Black Mangrove

- (Proceedings)Everitt, J.H., Yang, C., Sriharan, S. 2008. Using airborne and satellite imagery to distinguish and map black mangrove. Geoscience and Remote Sensing Symposium Proceedings. CDROM.Applying image transformation and classification techniques to airborne hyperspectral imagery for mapping Ashe juniper infestations

- (Peer Reviewed Journal)Yang, C., Everitt, J.H., Johnson, H.B. 2009. Applying image transformation and classification techniques to airborne hyperspectral imagery for mapping Ashe juniper infestations. International Journal of Remote Sensing. 30(11):2741-2758.Yield estimation from hyperspectral imagery using Spectral Angle Mapper (SAM)

- (Peer Reviewed Journal)Yang, C., Everitt, J.H., Bradford, J.M. 2008. Yield estimation from hyperspectral imagery using Spectral Angle Mapper (SAM). Transactions of the ASABE. 51(2):729-737.Assessing beet armyworm damage on Bt and non-Bt cottons by visual observations and remote sensing

- (Proceedings)Greenberg, S.M., Adamczyk Jr, J.J., Armstrong, J.S. , Yang, C. 2008. Assessing beet armyworm damage on Bt and non-Bt cottons by visual observations and remote sensing. National Cotton Council Beltwide Cotton Conference, Jan. 8-11, 2008, Nashville, TN.  2005.Evaluating Airborne Hyperspectral imagery for mapping waterhyacinth infestations

- (Peer Reviewed Journal)Yang, C., Everitt, J.H. 2007. Evaluating airborne hyperspectral imagery for mapping waterhyacinth infestations. Journal of Applied Remote Sensing. 1:013546.Airborne hyperspectral imagery and linear spectral unmixing for mapping variation in crop yield

- (Peer Reviewed Journal)Yang, C., Everitt, J.H., Bradford, J.M. 2007. Airborne hyperspectral imagery and linear spectral unmixing for mapping variation in crop yield. Precision Agriculture. 8:279-296.Comparison of QuickBird and SPOT 5 Satellite Imagery for Mapping Giant Reed

- (Peer Reviewed Journal)Everitt, J.H., Yang, C., Fletcher, R.S., Deloach Jr, C.J. 2007. Comparison of QuickBird and SPOT 5 satellite imagery for mapping giant reed. Journal of Aquatic Plant Management. 46:77-82.Biological Control of Saltcedar and Giant Reed in the Lower Rio Grande Basin

- (Other)Moran, P.J., Deloach Jr, C.J., Goolsby, J., Kirk, A., Everitt, J.H., Yang, C., Spencer, D.F., Pepper, A., Contreras-Arquieta, A., Nibling, F. 2007. Biological Control of Saltcedar and Giant Reed in the Lower Rio Grande Basin. Meeting Abstract. CDROM.Mapping Brazilian Pepper Infestations in South Texas with Spatial Information Technologies

- (Proceedings)Fletcher, R.S., Everitt, J.H., Yang, C. 2008. Mapping Brazilian Pepper infestations in south Texas with spatial information technologies. Biennial Workshop on Aerial Photography, Videography, and High Resolution Digital Imagery for Resource Assessment Proceedings. CDROM.Mapping Waterhyacinth Infestations Using Airborne Hyperspectral Imagery

- (Proceedings)Yang, C., Everitt, J.H. 2008. Mapping waterhyacinth infestations using airborne hyperspectral imagery. Biennial Workshop on Aerial Photography, Videography, and High Resolution Digital Imagery for Resource Assessment Proceedings.Mapping Black Mangrove Along the South Texas Gulf Coast Using AISA+ Hyperspectral Imagery

- (Proceedings)Yang, C., Everitt, J.H., Fletcher, R.S., Jensen, R.R., Mausel, P.W. 2007. Mapping black mangrove along the south texas gulf coast using AISA+ hyperspectral imagery. Biennial Workshop on Aerial Photography, Videography, and High Resolution Digital Imagery for Resource Assessment Proceedings.Mapping a Riparian Weed with SPOT 5 Imagery and Image Analysis

- (Proceedings)Everitt, J.H., Yang, C., Fletcher, R.S., Deloach Jr, C.J. 2008. Mapping a Riparian weed with SPOT 5 imagery and image analysis. Biennial Workshop on Aerial Photography, Videography, and High Resolution Digital Imagery for Resource Assessment Proceedings. CDROM.Comparison of Airborne Multispectral and Hyperspectral Imagery for Yield Estimation

- (Proceedings)Yang, C., Everitt, J.H., Bradford, J.M. 2007. Comparison of airborne multispectral and hyperspectral imagery for yield estimation. Proceedings of the American Society of Agricultural and Biological Engineers International (ASABE). ASABE Paper No. 071058.Mapping Invasive Aquatic and Wetland Weeds with Quickbird Satellite Imagery

- (Proceedings)Everitt, J.H., Yang, C., Fletcher, R.S., Deloach Jr, C.J. 2008. Mapping invasive aquatic and wetland weeds with QuickBird satellite imagery. Biennial Workshop on Aerial Photography, Videography, and High Resolution Digital Imagery for Resource Assessment Proceedings. CDROM.Using High Resolution Satellite Imagery to Map Black Mangrove on the Texas Gulf Coast

- (Peer Reviewed Journal)Everitt, J.H., Yang, C., Sriharan, S., Judd, F.W. 2008. Using high resolution satellite imagery to map black mangrove on the Texas Gulf Coast. Journal of Coastal Research. 24:1582-1586.Mapping Giant Salvinia with Satellite Imagery and Image Analysis

- (Peer Reviewed Journal)Everitt, J.H., Fletcher, R.S., Elder, H., Yang, C. 2008. Mapping giant salvinia with satellite imagery and image analysis. Environmental Monitoring and Assessment. 139:35-40.Estimating Cabbage Physical Parameters Using Remote Sensing Technology

- (Peer Reviewed Journal)Yang, C., Everitt, J.H., Liu, T. 2008. Estimating cabbage physical parameters using remote sensing technology. Crop Protection Journal. 27:25-35.USING REMOTE SENSING TO ASSESS BIOLOGICAL CONTROL OF SALTCEDAR

- (Peer Reviewed Journal)Everitt, J.H., Yang, C., Fletcher, R.S., Deloach, C.J., Davis, M.R. 2007. Using remote sensing to assess biological control of saltcedar. Southwestern Entomologist. 32(2):93-103.Mapping Wild Taro with Color-infrared Aerial Photography and Image Processing

- (Peer Reviewed Journal)Everitt, J.H., Yang, C., Davis, M.R. 2007. Mapping wild taro with color-infrared aerial photography and image processing. Journal of Aquatic Plant Management. 45:106-110.Mapping Broom Snakeweed Through Image Analysis of Color-infrared  Photography and Digital Imagery

- (Peer Reviewed Journal)Everitt, J.H., Yang, C. 2007. Mapping broom snakeweed through image analysis of color-infrared photograpy and digital imagery. Environmental Monitoring and Assessment. 134:287-292.Arundo Donax - giant reed; an invasive weed of the Rio Grande Basin.

- (Abstract Only)Goolsby, J., Kirk, A., Jones, W.A., Everitt, J.H., Yang, C., Spencer, D.F., Tarin, D., Nibling, F. 2007. Arundo Donax - giant reed; an invasive weed of the Rio Grande Basin.. Weed Science Society of America Meeting Proceedings. CDROM.MAPPING SPINY ASTER INFESTATIONS WITH QUICKBIRD IMAGERY

- (Peer Reviewed Journal)Everitt, J.H., Yang, C. 2007. Mapping spiny aster infestations with QuickBird imagery. Geocarto International. 22:273-283.USING MULTISPECTRAL IMAGERY AND LINEAR SPECTRAL UNMIXING TECHNIQUES FOR ESTIMATING CROP YIELD VARIABILITY

- (Peer Reviewed Journal)Yang, C., Everitt, J.H., Bradford, J.M. 2007. Using multispectral imagery and linear spectral unmixing techniques for estimating crop yield variability. Transactions of the ASABE. 50(2):667-674.Chemical cotton stalk destruction for maintenance of host-free periods for the control of overwintering boll weevil in tropical and subtropical climates

- (Peer Reviewed Journal)Greenberg, S.M., Norman, J.W., Sparks, A.N., Bradford, J.M., Yang, C., Sappington, T.W., Coleman, R.J., Showler, A. 2007. Chemical cotton stalk destruction for maintenance of host-free periods for the control of overwintering boll weevil in tropical and subtropical climates. Pest Management Science. 63(4):372-380.EVALUATING HIGH RESOLUTION QUICKBIRD SATELLITE IMAGERY FOR ESTIMATING COTTON YIELD

- (Peer Reviewed Journal)Yang, C., Everitt, J.H., Bradford, J.M. 2006. Evaluating high resolution QuickBird satellite imagery for estimating cotton yield. Transactions of the ASABE. 49(5):1599-1606.MAPPING NATURAL VEGETATION ON THE WELDER WILDLIFE REFUGE WITH QUICKBIRD SATELLITE IMAGERY

- (Proceedings)Everitt, J.H., Yang, C., Fletcher, R.S., Drawe, D. 2006. Mapping natural vegetation on the Welder Wildlife Refuge with QuickBird satellite imagery. In: Proceedings of the 20th Biennial Workshop on Aerial Photography, Videography, and High Resolution Digital Imagery for Resource Assessment, Bethesda, Maryland. 2006 CDROM.USING QUICKBIRD SATELLITE IMAGERY TO DISTINGUISH TWO AQUATIC WEEDS IN SOUTH TEXAS

- (Peer Reviewed Journal)Everitt, J.H., Yang, C. 2007. Using QuickBird satellite imagery to distinguish two aquatic weeds in south Texas. Journal of Aquatic Plant Management. 45:25-31.USING HYPERSPECTAL IMAGERY AND SPECTRAL UNMIXING TECHNIQUES FOR MAPPING GRAIN SORGHUM YIELD VARIABILITY

- (Proceedings)Yang, C., Everitt, J.H., Bradford, J.M. 2006. Using hyperspectral imagery and spectral unmixing techniques for mapping grain sorghum yield variability. International Conference on Precision Agriculture Abstracts & Proceedings. CDROM.SPECTRAL ANALYSIS OF COASTAL VEGETATION AND LAND COVER USING AISA+HYPERSPECTRAL DATA

- (Peer Reviewed Journal)Jensen, R.R., Mausel, P.W., Dias, N., Gonser, R., Yang, C., Everitt, J.H., Fletcher, R.S. 2007. Spectral analysis of coastal vegetation and land cover using AISA + hyperspectral data. Geocarto International. 22(1):17-28.USING HIGH RESOLUTION QUICKBIRD IMAGERY FOR CROP IDENTIFICATION AND AREA ESTIMATION

- (Peer Reviewed Journal)Yang, C., Everitt, J.H., Fletcher, R.S., Murden, D. 2007. Using high resolution QuickBird imagery for crop identification and area estimation. Geocarto International. 22(3):219-233.USE OF SPECTRAL ANGLE MAPPER (SAM) AND HYPERSPECTRAL IMAGERY FOR YIELD ESTIMATION

- (Proceedings)Yang, C., Everitt, J.H., Bradford, J.M. 2006. Use of spectral angle mapper (SAM) and hyperspectral imagery for yield estimation. Proceedings of the American Society of Agricultural and Biological Engineers International (ASABE). CDROM.CANOPY SPECTRA AND REMOTE SENSING OF ASHE JUNIPER AND ASSOCIATED VEGETATION

- (Peer Reviewed Journal)Everitt, J.H., Yang, C., Johnson, H.B. 2007. Canopy spectra and remote sensing of Ashe juniper and associated vegetation. Environmental Monitoring and Assessment. 130:403-413.ASSESSING COTTON STALK DESTRUCTION WITH HERBICIDES USING REMOTE SENSING TECHNOLOGY

- (Peer Reviewed Journal)Yang, C., Greenberg, S.M., Everitt, J.H., Norman, J.W. 2006. Assessing cotton stalk destruction with herbicides using remote sensing technology. Journal of Cotton Science. 10(2):136-145.USING REMOTE SENSING TO ASSESS BIOLOGICAL CONTROL DAMAGE OF TWO INVASIVE PLANT SPECIES

- (Proceedings)Everitt, J.H., Flores, D., Yang, C., Fletcher, R.S., Deloach Jr, C.J., Davis, M.R. 2006. Using remote sensing to assess biological control damage of two invasive plant species. Forest Service Remote Sensing Conference Proceedings. CDROM.MAPPING WATERHYACINTH INFESTATIONS WITH QUICKBIRD SATELLITE IMAGERY

- (Proceedings)Everitt, J.H., Yang, C. 2006. Mapping waterhyacinth infestations with QuickBird satellite imaggery. Forest Service Remote Sensing Conference Proceedings. CDROM.ASSESSING SOUTH TEXAS NATURAL RESOURCES WITH PAN-SHARPENED QUICKBIRD IMAGERY AND INEXPENSIVE SOFTWARE

- (Proceedings)Fletcher, R.S., Everitt, J.H., Yang, C. 2006. Assessing south Texas natural resources with pan-sharpened QuickBird imagery and inexpensive software. In: Proceedings of the 20th Biennial Workshop on Aerial Photography, Videography, and High Resolution Digital Imagery for Resource Assessment, Bethesda, Maryland. 2006 CDROM.EVALUATING EFFECTIVENESS OF SOME AGRICULTURAL OPERATIONS ON COTTON BY USING REMOTE SENSING TECHNOLOGY

- (Proceedings)Greenberg, S.M., Yang, C., Everitt, J.H. 2006. Evaluating effectiveness of some agricultural operations on cotton by using remote sensing technology. In: Proceedings of the 20th Biennial Workshop On Aerial Photography, Videography, and High Resolution Digital Imagery for Resource Assessment, Bethesda, Maryland. 2006 CDROM.EVALUATION OF REMOTE SENSING TECHNOLOGY FOR ESTIMATING CABBAGE PHYSICAL PARAMETERS

- (Proceedings)Yang, C., Tong-Xian, L., Everitt, J.H. 2006. Evaluation of remote sensing technology for estimating cabbage physical parameters. In: Proceedings of the 20th Biennial Workshop on Aerial Photography, Videography, and High Resolution Digital Imagery for Resource Assessment, Bethesda, Maryland. 2006 CDROM.MAPPING ASHE JUNIPER INFESTATIONS USING AIRBORNE HYPERSPECTRAL IMAGERY

- (Proceedings)Yang, C., Everitt, J.H., Johnson, H.B., Davis, M.R. 2006. Mapping Ashe juniper infestations using airborne hyperspectral imagery. In: Proceedings of the 20th Biennial Workshop on Aerial Photography, Videography, and High Resolution Digital Imagery for Resource Assessment, Bethesda, Maryland. 2006 CDROM.MAPPING PHYMATOTRICHUM ROOT ROT OF COTTON USING AIRBORNE THREE-BAND DIGITAL IMAGERY

- (Peer Reviewed Journal)Yang, C., Fernandez, C.J., Everitt, J.H. 2005. Mapping phymatotrichum root rot of cotton using airborne three-band digital imagery. Transactions of the ASAE. 48(4):1619-1626.USING MULTISPECTRAL IMAGERY AND PIXEL UNMIXING TECHNIQUES FOR ESTIMATING CROP YIELD VARIABILITY

- (Proceedings)Yang, C., Everitt, J.H., Bradford, J.M. 2005. Using multispectral imagery and pixel unmixing techniques for estimating crop yield variability. American Society of Agricultural Engineers. Paper No. 05-1018. St. Joseph, Michigan. 2005 CDROM.
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