2281 Franklin, J., Hiernaux, P.H.Y. 1991. Estimating foliage and woody biomass in Sahelian and
2282 Sudanian woodlands using a remote sensing model. *International Journal of Remote
2283 Sensing*, 12, 1387-1404.

2284 Frey, O., Morsdorf, F., Meier, E. 2008. Tomographic imaging of a forested area by airborne
2285 multi-baseline P-band SAR. *Sensors*, 8, 5884-5896.

2286 Friedl, M.A., McGwire, K.C., McIver, D.K. (2001). An overview of uncertainty in optical
2287 remotely sensed data for ecological applications. In M.F.G. C. T. Hunsaker, M. A. Friedl,
2288 and T. J. Case (Ed.), *Spatial Uncertainty in Ecology: Implications for Remote Sensing
2289 and GIS Applications* (pp. 258–283). New York, NY, USA: Springer.

2290 Friedl, M.A., Michaelsen, J., Davis, F.W., Walker, H., Schimel, D.S. 1994. Estimating grassland
2291 biomass and leaf area index using ground and satellite data. *International Journal of
2292 Remote Sensing*, 15, 1401-1420.

2293 Friedl, M.A., Sulla-Menashe, D., Tan, B., Schneider, A., Ramankutty, N., Sibley, A., Huang,
2294 X.M. 2010. MODIS Collection 5 global land cover: Algorithm refinements and
2295 characterization of new datasets. *Remote Sensing of Environment*, 114, 168-182.

2296 Frolking, S., Palace, M.W., Clark, D.B., Chambers, J.Q., Shugart, H.H., Hurtt, G.C. 2009. Forest
2297 disturbance and recovery: A general review in the context of spaceborne remote sensing
2298 of impacts on aboveground biomass and canopy structure. *Journal of Geophysical
2299 Research: Biogeosciences*, 114, G00E02, doi:10.1029/2008JG000911.

2300 Fu, P., Weng, Q.H. 2016. Consistent land surface temperature data generation from irregularly
2301 spaced Landsat imagery. *Remote Sensing of Environment*, 184, 175-187.

2302 Fuchs, H., Magdon, P., Kleinn, C., Flessa, H. 2009. Estimating aboveground carbon in a
2303 catchment of the Siberian forest tundra: Combining satellite imagery and field inventory.
2304 *Remote Sensing of Environment*, 113, 518-531.

2305 G, L.P. 1963. An analytical and experimental study of stereo for radar. *Photogrammetric
2306 Engineering*, 29, 294-300.

2307 Gamon, J.A., Coburn, C., Flanagan, L.B., Huemmrich, K.F., Kiddle, C., Sanchez-Azofeifa, G.A.,
2308 Thayer, D.R., Vescovo, L., Gianelle, D., Sims, D.A., Rahman, A.F., Pastorello, G.Z.
2309 2010. SpecNet revisited: bridging flux and remote sensing communities. *Canadian
2310 Journal of Remote Sensing*, 36, S376-S390.

2311 Gamon, J.A., Serrano, L., Surfus, J.S. 1997. The photochemical reflectance index: an optical
2312 indicator of photosynthetic radiation use efficiency across species, functional types, and
2313 nutrient levels. *Oecologia*, 112, 492-501.

2314 Gao, B.C. 1996. NDWI - A normalized difference water index for remote sensing of vegetation
2315 liquid water from space. *Remote Sensing of Environment*, 58, 257-266.

2316 Gao, Y.N., Yu, G.R., Li, S.G., Yan, H.M., Zhu, X.J., Wang, Q.F., Shi, P.L., Zhao, L., Li, Y.N.,
2317 Zhang, F.W., Wang, Y.F., Zhang, J.H. 2015. A remote sensing model to estimate
2318 ecosystem respiration in Northern China and the Tibetan Plateau. *Ecological Modelling*,
2319 304, 34-43.

2320 Garestier, F., Dubois-Fernandez, P.C., Papathanassiou, K.P. 2008. Pine forest height inversion
2321 using single-pass X-band PolInSAR data. *IEEE Transactions on Geoscience and Remote
2322 Sensing*, 46, 59-68.

2323 Gaveau, D.L.A. 2002. Modelling the dynamics of ERS-1/2 coherence with increasing woody
2324 biomass over boreal forests. *International Journal of Remote Sensing*, 23, 3879-3885.

2325 Gitelson, A.A. 2004. Wide dynamic range vegetation index for remote quantification of
2326 biophysical characteristics of vegetation. *Journal of Plant Physiology*, 161, 165-173.
2327 Glenn, E.P., Huete, A.R., Nagler, P.L., Nelson, S.G. 2008. Relationship between remotely-sensed vegetation indices, canopy attributes and plant physiological processes: What vegetation indices can and cannot tell us about the landscape. *Sensors*, 8, 2136-2160.

2328
2329 Glenn, N.F., Neuenschwander, A., Vierling, L.A., Spaete, L., Li, A.H., Shinneman, D.J., Pilliod, D.S., Arkle, R.S., McIlroy, S.K. 2016. Landsat 8 and ICESat-2: Performance and potential synergies for quantifying dryland ecosystem vegetation cover and biomass. *Remote Sensing of Environment*, 185, 233-242.

2330 Goetz, S., Dubayah, R. 2011. Advances in remote sensing technology and implications for measuring and monitoring forest carbon stocks and change. *Carbon Management*, 2, 231-244.

2331 GOFC-GOLD (2016). A sourcebook of methods and procedures for monitoring and reporting anthropogenic greenhouse gas emissions and removals associated with deforestation, gains and losses of carbon stocks in forests remaining forests, and forestation. In: GOFC-GOLD Report version COP22-1, (GOFC-GOLD Land Cover Project Office, Wageningen University, The Netherlands).

2332 Gomez, C., Lagacherie, P. (2016). Mapping of primary soil properties using optical visible and near infrared (Vis-NIR) remote sensing. In N. Baghdadi, & M. Zribi (Eds.), *Land Surface Remote Sensing in Agriculture and Forest* (pp. 1-35): Elsevier.

2333 Gomez, C., Rossel, R.A.V., McBratney, A.B. 2008. Soil organic carbon prediction by hyperspectral remote sensing and field vis-NIR spectroscopy: An Australian case study. *Geoderma*, 146, 403-411.

2334 Gorelick, N., Hancher, M., Dixon, M., Ilyushchenko, S., Thau, D., Moore, R. 2017. Google Earth Engine: Planetary-scale geospatial analysis for everyone. *Remote Sensing of Environment*, 202, 18-27.

2335 Goward, S.N., Huemmrich, K.F. 1992. Vegetation canopy PAR absorptance and the normalized difference vegetation index: An assessment using the SAIL model. *Remote Sensing of Environment*, 39, 119-140.

2336 Goward, S.N., Tucker, C.J., Dye, D.G. 1985. North American vegetation patterns observed with the NOAA-7 advanced very high resolution radiometer. *Vegetatio*, 64, 3-14.

2337 Gray, J.M., Bishop, T.F.A., Wilson, B.R. 2015. Factors controlling soil organic carbon stocks with depth in eastern Australia. *Soil Science Society of America Journal*, 79, 1741-1751.

2338 Greenberg, J.A., Dobrowski, S.Z., Ustin, S.L. 2005. Shadow allometry: Estimating tree structural parameters using hyperspatial image analysis. *Remote Sensing of Environment*, 97, 15-25.

2339 Grinand, C., Le Maire, G., Vieilledent, G., Razakarnanarivo, H., Razafimbelo, T., Bernoux, M. 2017. Estimating temporal changes in soil carbon stocks at ecoregional scale in Madagascar using remote-sensing. *International Journal of Applied Earth Observation and Geoinformation*, 54, 1-14.

2340 Gu, L., Wood, J.D., Chang, C.Y.Y., Sun, Y., Riggs, J.S. 2019. Advancing terrestrial ecosystem science with a novel automated measurement system for sun-induced chlorophyll fluorescence for integration with eddy covariance flux networks. *Journal of Geophysical Research-Biogeosciences*, 124, 127-146.

2341 Gu, L.H., Baldocchi, D., Verma, S.B., Black, T.A., Vesala, T., Falge, E.M., Dowty, P.R. 2002. Advantages of diffuse radiation for terrestrial ecosystem productivity. *Journal of Geophysical Research-Atmospheres*, 107, D6, 4050, 10.1029/2001JD001242.

2342 Guan, K.Y., Pan, M., Li, H.B., Wolf, A., Wu, J., Medvigy, D., Caylor, K.K., Sheffield, J., Wood, E.F., Malhi, Y., Liang, M.L., Kimball, J.S., Saleska, S.R., Berry, J., Joiner, J., Lyapustin,
2373 A.I. 2015. Photosynthetic seasonality of global tropical forests constrained by
2374 hydroclimate. *Nature Geoscience*, 8, 284-289.

2375 Guanter, L., Aben, I., Tol, P., Krijger, J.M., Hollstein, A., Kohler, P., Damm, A., Joiner, J.,
2376 Frankenberg, C., Landgraf, J. 2015a. Potential of the TROPOspheric Monitoring
2377 Instrument (TROPOMI) onboard the Sentinel-5 Precursor for the monitoring of terrestrial
2378 chlorophyll fluorescence. *Atmospheric Measurement Techniques*, 8, 1337-1352.

2379 Guanter, L., Frankenberg, C., Dudhia, A., Lewis, P.E., Gomez-Dans, J., Kuze, A., Suto, H.,
2380 Grainger, R.G. 2012. Retrieval and global assessment of terrestrial chlorophyll
2381 fluorescence from GOSAT space measurements. *Remote Sensing of Environment*, 121,
2382 236-251.

2383 Guanter, L., Kaufmann, H., Segl, K., Foerster, S., Rogass, C., Chabrillat, S., Kuester, T.,
2384 Hollstein, A., Rossner, G., Chlebek, C., Straif, C., Fischer, S., Schrader, S., Storch, T.,
2385 Heiden, U., Mueller, A., Bachmann, M., Muhle, H., Muller, R., Habermeyer, M.,
2386 Ohndorf, A., Hill, J., Buddenbaum, H., Hostert, P., van der Linden, S., Leitao, P.J., Rabe,
2387 A., Doerffer, R., Krasemann, H., Xi, H.Y., Mauser, W., Hank, T., Locherer, M., Rast, M.,
2388 Staenz, K., Sang, B. 2015b. The EnMAP spaceborne imaging spectroscopy mission for
2389 earth observation. *Remote Sensing*, 7, 8830-8857.

2390 Guanter, L., Zhang, Y.G., Jung, M., Joiner, J., Voigt, M., Berry, J.A., Frankenberg, C., Huete,
2391 A.R., Zarco-Tejada, P., Lee, J.E., Moran, M.S., Ponce-Campos, G., Beer, C., Camps-
2392 Valls, G., Buchmann, N., Gianelle, D., Klumpp, K., Cescatti, A., Baker, J.M., Griffis, T.J.
2393 2014. Global and time-resolved monitoring of crop photosynthesis with chlorophyll
2394 fluorescence. *Proceedings of the National Academy of Sciences of the United States of
2395 America*, 111, E1327-E1333.

2396 Guerlet, S., Basu, S., Butz, A., Krol, M., Hahne, P., Houweling, S., Hasekamp, O.P., Aben, I.
2397 2013. Reduced carbon uptake during the 2010 Northern Hemisphere summer from
2398 GOSAT. *Geophysical Research Letters*, 40, 2378-2383.

2399 Guo, L., Zhang, H., Shi, T., Chen, Y., Jiang, Q., Linderman, M. 2019. Prediction of soil organic
2400 carbon stock by laboratory spectral data and airborne hyperspectral images. *Geoderma*,
2401 337, 32-41.

2402 Gwenzi, D., Lefsky, M.A., Suchdeo, V.P., Harding, D.J. 2016. Prospects of the ICESat-2 laser
2403 altimetry mission for savanna ecosystem structural studies based on airborne simulation
2404 data. *ISPRS Journal of Photogrammetry and Remote Sensing*, 118, 68-82.

2405 Hall, F.G., Shimabukuro, Y.E., Huemmerich, K.F. 1995. Remote sensing of forest biophysical
2406 structure using mixture decomposition and geometric reflectance models. *Ecological
2407 Applications*, 5, 993-1013.

2408 Hall, R.J., Skakun, R.S., Arsenault, E.J., Case, B.S. 2006. Modeling forest stand structure
2409 attributes using Landsat ETM+ data: Application to mapping of aboveground biomass
2410 and stand volume. *Forest Ecology and Management*, 225, 378-390.

2411 Hansen, M.C., Potapov, P.V., Moore, R., Hancher, M., Turubanova, S.A., Tyukavina, A., Thau,
2412 D., Stehman, S.V., Goetz, S.J., Loveland, T.R., Kommareddy, A., Egorov, A., Chini, L.,
2413 Justice, C.O., Townshend, J.R.G. 2013. High-resolution global maps of 21st-century
2414 forest cover change. *Science*, 342, 850-853.

2415 Hargrove, W.W., Spruce, J.P., Gasser, G.E., Hoffman, F.M. 2009. Toward a national early
2416 warning system for forest disturbances using remotely sensed canopy phenology.
2417 *Photogrammetric Engineering and Remote Sensing*, 75, 1150-1156.
2418 Harrell, P.A., BourgeauChavez, L.L., Kasischke, E.S., French, N.H.F., Christensen, N.L. 1995. Sensitivity of ERS-1 and JERS-1 radar data to biomass and stand structure in Alaskan boreal forest. *Remote Sensing of Environment*, 54, 247-260.

2419
2420
2421 Hauglin, M., Astrup, R., Gobakken, T., Naesset, E. 2013. Estimating single-tree branch biomass of Norway spruce with terrestrial laser scanning using voxel-based and crown dimension features. *Scandinavian Journal of Forest Research*, 28, 456-469.

2424 Hazarika, M.K., Yasuoka, Y., Ito, A., Dye, D. 2005. Estimation of net primary productivity by integrating remote sensing data with an ecosystem model. *Remote Sensing of Environment*, 94, 298-310.

2427 Hbirkou, C., Patzold, S., Mahlein, A.K., Welp, G. 2012. Airborne hyperspectral imaging of spatial soil organic carbon heterogeneity at the field-scale. *Geoderma*, 175, 21-28.

2429 He, M.Z., Kimball, J.S., Maneta, M.P., Maxwell, B.D., Moreno, A., Begueria, S., Wu, X.C. 2018. Regional crop gross primary productivity and yield estimation using fused Landsat-MODIS data. *Remote Sensing*, 10, 10(3), 372; https://doi.org/10.3390/rs10030372.

2432 Heinsch, F.A., Zhao, M.S., Running, S.W., Kimball, J.S., Nemani, R.R., Davis, K.J., Bolstad, P.V., Cook, B.D., Desai, A.R., Ricciuto, D.M., Law, B.E., Oechel, W.C., Kwon, H., Luo, H.Y., Wofsy, S.C., Dunn, A.L., Munger, J.W., Baldocchi, D.D., Xu, L.K., Hollinger, D.Y., Richardson, A.D., Stoy, P.C., Siqueira, M.B.S., Monson, R.K., Burns, S.P., Flanagan, L.B. 2006. Evaluation of remote sensing based terrestrial productivity from MODIS using regional tower eddy flux network observations. *IEEE Transactions on Geoscience and Remote Sensing*, 44, 1908-1925.

2439 Heiskanen, J. 2006. Estimating aboveground tree biomass and leaf area index in a mountain birch forest using ASTER satellite data. *International Journal of Remote Sensing*, 27, 1135-1158.

2442 Heller, R.C. 1968. Previsual detection of ponderosa pine trees dying from bark beetle attack. *Proceeds of the Fifth Symposium on Remote Sensing of Environment, University of Michigan, Ann Arbor, MI*, 387-434.

2445 Hesslerová, P., Huryna, H., Pokorný, J., Procházka, J. 2018. The effect of forest disturbance on landscape temperature. *Ecological Engineering*, 120, 345-354.

2447 Hicke, J.A., Asner, G.P., Kasiske, E.S., French, N.H.F., Randerson, J.T., Collatz, G.J., Stocks, B.J., Tucker, C.J., Los, S.O., Field, C.B. 2003. Postfire response of North American boreal forest net primary productivity analyzed with satellite observations. *Global Change Biology*, 9, 1145-1157.

2451 Hicke, J.A., Logan, J.A. 2009. Mapping whitebark pine mortality caused by a mountain pine beetle outbreak with high spatial resolution satellite imagery. *International Journal of Remote Sensing*, 30, 4427-4441.

2454 Hicke, J.A., Meddens, A.J.H., Allen, C.D., Kolden, C.A. 2013. Carbon stocks of trees killed by bark beetles and wildfire in the western United States. *Environmental Research Letters*, 8, 035032.

2457 Hilker, T., Coops, N.C., Wulder, M.A., Black, T.A., Guy, R.D. 2008. The use of remote sensing in light use efficiency based models of gross primary production: A review of current status and future requirements. *Science of the Total Environment*, 404, 411-423.

2460 Hilton, T.W., Davis, K.J., Keller, K. 2014. Evaluating terrestrial CO2 flux diagnoses and uncertainties from a simple land surface model and its residuals. *Biogeosciences*, 11, 217-235.
2463 Houghton, R.A., Butman, D., Bunn, A.G., Krankina, O.N., Schlesinger, P., Stone, T.A. 2007.

2464 Mapping Russian forest biomass with data from satellites and forest inventories.

2465 *Environmental Research Letters*, 2, 045032, doi:10.1088/1748-9326/2/4/045032.

2466 Huang, C.Y., Asner, G.P., Barger, N.N., Neff, J.C., Floyd, M.L. 2010. Regional aboveground

2467 live carbon losses due to drought-induced tree dieback in pinon-juniper ecosystems.

2468 *Remote Sensing of Environment*, 114, 1471-1479.

2469 Huang, N., Gu, L.H., Niu, Z. 2014. Estimating soil respiration using spatial data products: A case

2470 study in a deciduous broadleaf forest in the Midwest USA. *Journal of Geophysical

2471 Research-Atmospheres*, 119, 6393-6408.

2472 Huang, X., Xiao, J., Ma, M. (2019) Evaluating the performance of satellite-derived vegetation

2473 indices for estimating gross primary productivity using FLUXNET observations across

2474 the globe. *Remote Sensing*, 11(15), 1823; https://doi.org/10.3390/rs11151823.

2475 Huete, A., Didan, K., Miura, T., Rodriguez, E.P., Gao, X., Ferreira, L.G. 2002. Overview of the

2476 radiometric and biophysical performance of the MODIS vegetation indices. *Remote

2477 Sensing of Environment*, 83, 195-213.

2478 Huete, A.R., Didan, K., Shimabukuro, Y.E., Ratana, P., Saleska, S.R., Hutyra, L.R., Yang, W.Z.,

2479 Nemani, R.R., Myneni, R. 2006. Amazon rainforests green-up with sunlight in dry season.

2480 *Geophysical Research Letters*, 33, L06405, doi:10.1029/2005GL025583.

2481 Huete, A.R., Jackson, R.D., Post, D.F. 1985. Spectral response of a plant canopy with different

2482 soil backgorund. *Remote Sensing of Environment*, 17, 37-53.

2483 Huete, A.R., Restrepo-Coupe, N., Ratana, P., Didan, K., Saleska, S.R., Ichii, K., Panuthai, S.,

2484 Gamo, M. 2008. Multiple site tower flux and remote sensing comparisons of tropical

2485 forest dynamics in Monsoon Asia. *Agricultural and Forest Meteorology*, 148, 748-760.

2486 Hunt, G.R., Salisbury, J.W., Lenhoff, C.J. 1971. Visible and near-infrared spectra of minerals

2487 and rocks : III. Oxides and hydroxides. *Modern Geology*, 2, 195-205.

2488 Huntzinger, D.N., Post, W.M., Wei, Y., Michalak, A.M., West, T.O., Jacobson, A.R., Baker, I.T.,

2489 Chen, J.M., Davis, K.J., Hayes, D.J., Hoffman, F.M., Jain, A.K., Liu, S., McGuire, A.D.,

2490 Neilson, R.P., Potter, C., Poulter, B., Price, D., Raczka, B.M., Tian, H.Q., Thornton, P.,

2491 Tomelleri, E., Viovy, N., Xiao, J., Yuan, W., Zeng, N., Zhao, M., Cook, R. 2012. North

2492 American Carbon Program (NACP) regional interim synthesis: Terrestrial biospheric

2493 model intercomparison. *Ecological Modelling*, 232, 144-157.

2494 Hyde, P., Nelson, R., Kimes, D., Levine, E. 2007. Exploring LIDAR-RaDAR synergy -

2495 predicting aboveground biomass in a southwestern ponderosa pine forest using LiDAR,

2496 SAR and InSAR. *Remote Sensing of Environment*, 106, 28-38.

2497 Ichii, K., Hashimoto, H., White, M.A., Potters, C., Hutyra, L.R., Huete, A.R., Myneni, R.B.,

2498 Nemanis, R.R. 2007. Constraining rooting depths in tropical rainforests using satellite

2499 data and ecosystem modeling for accurate simulation of gross primary production

2500 seasonality. *Global Change Biology*, 13, 67-77.

2501 Ichii, K., Kondo, M., Lee, Y.H., Wang, S.Q., Kim, J., Ueyama, M., Lim, H.J., Shi, H., Suzuki, T.,

2502 Ito, A., Kwon, H., Ju, W.M., Huang, M., Sasai, T., Asanuma, J., Han, S.J., Hirano, T.,

2503 Hirata, R., Kato, T., Li, S.G., Li, Y.N., Maeda, T., Miyata, A., Matsuura, Y., Murayama,

2504 S., Nakai, Y., Ohta, T., Saitoh, T.M., Saigusa, N., Takagi, K., Tang, Y.H., Wang, H.M.,

2505 Yu, G.R., Zhang, Y.P., Zhao, F.H. 2013. Site-level model-data synthesis of terrestrial

2506 carbon fluxes in the CarboEastAsia eddy-covariance observation network: toward future

2507 modeling efforts. *Journal of Forest Research*, 18, 13-20.
2553 Joiner, J., Guanter, L., Lindstrot, R., Voigt, M., Vasilkov, A.P., Middleton, E.M., Huemmrich, K.F., Yoshida, Y., Frankenberg, C. 2013. Global monitoring of terrestrial chlorophyll fluorescence from moderate-spectral-resolution near-infrared satellite measurements: methodology, simulations, and application to GOME-2. *Atmospheric Measurement Techniques*, 6, 2803-2823.

2554
2555
2556
2557
2558
2559
2560
2561
2562
2563
2564
2565
2566
2567
2568
2569
2570
2571
2572
2573
2574
2575
2576
2577
2578
2579
2580
2581
2582
2583
2584
2585
2586
2587
2588
2589
2590
2591
2592
2593
2594
2595
2596
Joiner, J., Yoshida, Y., Guanter, L., Middleton, E.M. 2016. New methods for the retrieval of chlorophyll red fluorescence from hyperspectral satellite instruments: simulations and application to GOME-2 and SCIAMACHY. *Atmospheric Measurement Techniques*, 9, 3939-3967.
Joiner, J., Yoshida, Y., Vasilkov, A., Schaefer, K., Jung, M., Guanter, L., Zhang, Y., Garrity, S., Middleton, E.M., Huemmrich, K.F., Gu, L., Marchesini, L.B. 2014. The seasonal cycle of satellite chlorophyll fluorescence observations and its relationship to vegetation phenology and ecosystem atmosphere carbon exchange. *Remote Sensing of Environment*, 152, 375-391.
Joiner, J., Yoshida, Y., Vasilkov, A.P., Middleton, E.M., Campbell, P.K.E., Yoshida, Y., Kuze, A., Corp, L.A. 2012. Filling-in of near-infrared solar lines by terrestrial fluorescence and other geophysical effects: simulations and space-based observations from SCIAMACHY and GOSAT. *Atmospheric Measurement Techniques*, 5, 809-829.
Joiner, J., Yoshida, Y., Vasilkov, A.P., Yoshida, Y., Corp, L.A., Middleton, E.M. 2011. First observations of global and seasonal terrestrial chlorophyll fluorescence from space. *Biogeosciences*, 8, 637-651.
Jones, L.A., Kimball, J.S., Reichle, R.H., Madani, N., Glassy, J., Ardizzone, J.V., Colliander, A., Cleverly, J., Desai, A.R., Eamus, D., Euskirchen, E.S., Hutley, L., Macfarlane, C., Scott, R.L. 2017. The SMAP Level 4 carbon product for monitoring ecosystem land-atmosphere CO2 exchange. *IEEE Transactions on Geoscience and Remote Sensing*, 55, 6517-6532.
Jung, M., Reichstein, M., Bondeau, A. 2009. Towards global empirical upscaling of FLUXNET eddy covariance observations: validation of a model tree ensemble approach using a biosphere model. *Biogeosciences*, 6, 2001-2013.
Jung, M., Reichstein, M., Margolis, H.A., Cescatti, A., Richardson, A.D., Arain, M.A., Arneth, A., Bernhofer, C., Bonal, D., Chen, J.Q., Gianelle, D., Gobron, N., Kiely, G., Kutsch, W., Lasslop, G., Law, B.E., Lindroth, A., Merbold, L., Montagnani, L., Moors, E.J., Papale, D., Sottocornola, M., Vaccari, F., Williams, C. 2011. Global patterns of land-atmosphere fluxes of carbon dioxide, latent heat, and sensible heat derived from eddy covariance, satellite, and meteorological observations. *Journal of Geophysical Research-Biogeosciences*, 116, G00J07, doi:10.1029/2010JG001566.
Justice, C.O., Giglio, L., Korontzi, S., Owens, J., Morisette, J.T., Roy, D., Descloitres, J., Alleaume, S., Petitcolin, F., Kaufman, Y. 2002. The MODIS fire products. *Remote Sensing of Environment*, 83, 244-262.
Justice, C.O., Roman, M.O., Csiszar, I., Vermote, E.F., Wolfe, R.E., Hook, S.J., Friedl, M., Wang, Z.S., Schaaf, C.B., Miura, T., Tschudi, M., Riggs, G., Hall, D.K., Lyapustin, A.I., Devadiga, S., Davidson, C., Masuoka, E.J. 2013. Land and cryosphere products from Suomi NPP VIIRS: Overview and status. *Journal of Geophysical Research-Atmospheres*, 118, 9753-9765.
2597 Kampe, T.U., Johnson, B.R., Kuester, M., Keller, M. 2010. NEON: the first continental-scale
2598 ecological observatory with airborne remote sensing of vegetation canopy biochemistry
2599 and structure. *Journal of Applied Remote Sensing*, 4, 043510.

2600 Kankare, V., Holopainen, M., Vastaranta, M., Puttonen, E., Yu, X.W., Hyyppä, J., Vaaja, M.,
2601 Hyyppä, H., Alho, P. 2013. Individual tree biomass estimation using terrestrial laser
2602 scanning. *ISPRS Journal of Photogrammetry and Remote Sensing*, 75, 64-75.

2603 Karila, K., Yu, X.W., Vastaranta, M., Karjalainen, M., Puttonen, E., Hyyppä, J. 2019. TanDEM-
2604 X digital surface models in boreal forest above-ground biomass change detection. *ISPRS
2605 Journal of Photogrammetry and Remote Sensing*, 148, 174-183.

2606 Karion, A., Sweeney, C., Tans, P., Newberger, T. 2010. AirCore: An Innovative Atmospheric
2607 Sampling System. *Journal of Atmospheric and Oceanic Technology*, 27, 1839-1853.

2608 Karlson, M., Ostwald, M., Reese, H., Sanou, J., Tankoano, B., Mattsson, E. 2015. Mapping tree
2609 canopy cover and aboveground biomass in Sudano-Sahelian woodlands using Landsat 8
2610 and random forest. *Remote Sensing*, 7, 10017-10041.

2611 Kasischke, E.S., Christensen, N.L., Bourgeauchavez, L.L. 1995. Correlating radar backscatter
2612 with components of biomass in loblolly-pine forests. *IEEE Transactions on Geoscience
2613 and Remote Sensing*, 33, 643-659.

2614 Kasischke, E.S., Goetz, S.J., Kimball, J.S., Mack, M.M. (2010). The Arctic-Boreal Vulnerability
2615 Experiment (ABOVE): A Concise Plan for a NASA-Sponsored Field Campaign. In.
2616 http://cce.nasa.gov/terrestrial_ecology/pdfs/ABOVE%20Final%20Report.pdf

2617 Kasischke, E.S., Tanase, M.A., Bourgeau-Chavez, L.L., Borr, M. 2011. Soil moisture limitations
2618 on monitoring boreal forest regrowth using spaceborne L-band SAR data. *Remote
2619 Sensing of Environment*, 115, 227-232.

2620 Kato, T., Knorr, W., Scholze, M., Veenendaal, E., Kaminski, T., Kattge, J., Gobron, N. 2013.
2621 Simultaneous assimilation of satellite and eddy covariance data for improving terrestrial
2622 water and carbon simulations at a semi-arid woodland site in Botswana. *Biogeosciences*,
2623 10, 789-802.

2624 Kauth, R.J., Thomas, G.S. (1976). The tasseled cap. A graphic description of the spectral-
2625 temporal development of agricultural crops as seen by Landsat. In, *2nd International
2626 Symposium on Machine Processing of Remotely Sensed Data*, IEEE Cat. 76, CH-1103-1,
2627 Purdue University, West Lafayette, IN and Proc. of LACIE Symp., Houston, TX.

2628 Kellndorfer, J., Walker, W., LaPoint, L., Bishop, J., Cormier, T., Fiske, G., Kirsch, K., Westfall,
2629 J. (2013). NACP Aboveground Biomass and Carbon Baseline Data, V.2 (NBCD 2000),
2630 U.S.A., 2000. In. ORNL DAAC, Oak Ridge, Tennessee, USA.
2631 https://doi.org/10.3334/ORNLDAAC/1161

2632 Khati, U., Singh, G., Ferro-Famil, L. 2017. Analysis of seasonal effects on forest parameter
2633 estimation of Indian deciduous forest using TerraSAR-X PolInSAR acquisitions. *Remote
2634 Sensing of Environment*, 199, 265-276.

2635 Kimball, J.S., Jones, L.A., Zhang, K., Heinsch, F.A., McDonald, K.C., Oechel, W.C. 2009. A
2636 satellite approach to estimate land-atmosphere CO2 exchange for boreal and Arctic
2637 biomes using MODIS and AMSR-E. *IEEE Transactions on Geoscience and Remote
2638 Sensing*, 47, 569-587.

2639 King, D.A., Turner, D.P., Ritts, W.D. 2011. Parameterization of a diagnostic carbon cycle model
2640 for continental scale application. *Remote Sensing of Environment*, 115, 1653-1664.

2641 Kleidon, A. 2004. Global datasets of rooting zone depth inferred from inverse methods. *Journal
2642 of Climate*, 17, 2714-2722.
2643 Kohler, P., Frankenberg, C., Magney, T.S., Guanter, L., Joiner, J., Landgraf, J. 2018. Global retrievals of solar-induced chlorophyll fluorescence with TROPOMI: First results and intersensor comparison to OCO-2. *Geophysical Research Letters*, 45, 10456-10463.

2646 Kohler, P., Guanter, L., Joiner, J. 2015. A linear method for the retrieval of sun-induced chlorophyll fluorescence from GOME-2 and SCIAMACHY data. *Atmospheric Measurement Techniques*, 8, 2589-2608.

2649 Kondo, M., Ichii, K., Takagi, H., Sasakawa, M. 2015. Comparison of the data-driven top-down and bottom-up global terrestrial CO2 exchanges: GOSAT CO2 inversion and empirical eddy flux upscaling. *Journal of Geophysical Research-Biogeosciences*, 120, 1226-1245.

2652 Krol, M., de Bruine, M., Killaars, L., Ouwersloot, H., Pozzer, A., Yin, Y., Chevallier, F., Bousquet, P., Patra, P., Belikov, D., Maksyutov, S., Dhomse, S., Feng, W.H., Chipperfield, M.P. 2018. Age of air as a diagnostic for transport timescales in global models. *Geoscientific Model Development*, 11, 3109-3130.

2656 Kulawik, S.S., Jones, D.B.A., Nassar, R., Irion, F.W., Worden, J.R., Bowman, K.W., Machida, T., Matsueda, H., Sawa, Y., Biraud, S.C., Fischer, M.L., Jacobson, A.R. 2010. Characterization of Tropospheric Emission Spectrometer (TES) CO2 for carbon cycle science. *Atmospheric Chemistry and Physics*, 10, 5601-5623.

2660 Ladoni, M., Bahrami, H.A., Alavipanah, S.K., Norouzi, A.A. 2010. Estimating soil organic carbon from soil reflectance: a review. *Precision Agriculture*, 11, 82-99.

2662 Laraby, K.G., Schott, J.R. 2018. Uncertainty estimation method and Landsat 7 global validation for the Landsat surface temperature product. *Remote Sensing of Environment*, 216, 472-481.

2665 Larsson, H. 1993. Linear regression for canopy cover estimation in Acacia woodlands using Landsat-TM, -MSS, and SPOT HRV XS data. *International Journal of Remote Sensing*, 14, 2129-2136.

2668 Le Quere, C., Raupach, M.R., Canadell, J.G., Marland, G., Bopp, L., Ciais, P., Conway, T.J., Doney, S.C., Feely, R.A., Foster, P., Friedlingstein, P., Gurney, K., Houghton, R.A., House, J.I., Huntingford, C., Levy, P.E., Lomas, M.R., Majkut, J., Metzl, N., Ometto, J.P., Peters, G.P., Prentice, I.C., Randerson, J.T., Running, S.W., Sarmiento, J.L., Schuster, U., Sitch, S., Takahashi, T., Viovy, N., van der Werf, G.R., Woodward, F.I. 2009. Trends in the sources and sinks of carbon dioxide. *Nature Geoscience*, 2, 831-836.

2674 Le Toan, T., Beaudoin, A., Riom, J., Guyon, D. 1992. Relating forest biomass to SAR data. *IEEE Transactions on Geoscience and Remote Sensing*, 30, 403-411.

2676 Le Toan, T., Quegan, S., Davidson, M.W.J., Balzter, H., Paillou, P., Papathanassiou, K., Plummer, S., Rocca, F., Saatchi, S., Shugart, H., Ulander, L. 2011. The BIOMASS mission: Mapping global forest biomass to better understand the terrestrial carbon cycle. *Remote Sensing of Environment*, 115, 2850-2860.

2680 Leboeuf, A., Beaudoin, A., Fournier, R.A., Guindon, L., Luther, J.E., Lambert, M.C. 2007. A shadow fraction method for mapping biomass of northern boreal black spruce forests using QuickBird imagery. *Remote Sensing of Environment*, 110, 488-500.

2683 Lee, C.M., Cable, M.L., Hook, S.J., Green, R.O., Ustin, S.L., Mandl, D.J., Middleton, E.M. 2015a. An introduction to the NASA Hyperspectral InfraRed Imager (HyspIRI) mission and preparatory activities. *Remote Sensing of Environment*, 167, 6-19.

2686 Lee, J.E., Berry, J.A., Van der Tol, C.S., Yang, X., Guanter, L., Damm, A., Baker, I., Frankenberg, C. 2015b. Simulations of chlorophyll fluorescence incorporated into the Community Land Model version 4. *Global Change Biology*, 21, 3469-3477.
2689 Lee, J.E., Frankenberg, C., van der Tol, C., Berry, J.A., Guanter, L., Boyce, C.K., Fisher, J.B., 2690 Morrow, E., Worden, J.R., Asefi, S., Badgley, G., Saatchi, S. 2013. Forest productivity 2691 and water stress in Amazonia: observations from GOSAT chlorophyll fluorescence. 2692 *Proceedings of the Royal Society B-Biological Sciences*, 280, 20130171, 2693 http://dx.doi.org/10.1098/rspb.2013.0171.

2694 Lefsky, M.A., Harding, D., Cohen, W.B., Parker, G., Shugart, H.H. 1999. Surface lidar remote 2695 sensing of basal area and biomass in deciduous forests of eastern Maryland, USA. 2696 *Remote Sensing of Environment*, 67, 83-98.

2697 Lefsky, M.A., Harding, D.J., Keller, M., Cohen, W.B., Carabajal, C.C., Espirito-Santo, F.D., 2698 Hunter, M.O., de Oliveira, R. 2005. Estimates of forest canopy height and aboveground 2699 biomass using ICESat. *Geophysical Research Letters*, 32, L22S02, 2700 doi:10.1029/2005GL023971.

2701 Lefsky, M.A., Keller, M., Pang, Y., de Camargo, P.B., Hunter, M.O. 2007. Revised method for 2702 forest canopy height estimation from Geoscience Laser Altimeter System waveforms. 2703 *Journal of Applied Remote Sensing*, 1, 013537.

2704 Li, A.H., Dhakal, S., Glenn, N.F., Spaete, L.P., Shinneman, D.J., Pilliod, D.S., Arkle, R.S., 2705 McIlroy, S.K. 2017. Lidar aboveground vegetation biomass estimates in shrublands: 2706 prediction, uncertainties and application to coarser scales. *Remote Sensing*, 9, 903; 2707 doi:10.3390/rs9090903.

2708 Li, X., Xiao, J.F. 2019. A global, 0.05-degree product of solar-induced chlorophyll fluorescence 2709 derived from OCO-2, MODIS, and reanalysis data. *Remote Sensing*, 11(5), 517; 2710 https://doi.org/10.3390/rs11050517.

2711 Li, X., Xiao, J.F., He, B.B. 2018a. Higher absorbed solar radiation partly offset the negative 2712 effects of water stress on the photosynthesis of Amazon forests during the 2015 drought. 2713 *Environmental Research Letters*, 13, 044005, https://doi.org/10.1088/1748-9326/aab0b1.

2714 Li, X., Xiao, J.F., He, B.B., Arain, M.A., Beringer, J., Desai, A.R., Emmel, C., Hollinger, D.Y., 2715 Krasnova, A., Mammarella, I., Noe, S.M., Ortiz, P.S., Rey-Sanchez, A.C., Rocha, A.V., 2716 Varlagin, A. 2018b. Solar-induced chlorophyll fluorescence is strongly correlated with 2717 terrestrial photosynthesis for a wide variety of biomes: First global analysis based on 2718 OCO-2 and flux tower observations. *Global Change Biology*, 24, 3990-4008.

2719 Li, X., Xiao, J.F., He, B.B. 2018c. Chlorophyll fluorescence observed by OCO-2 is strongly 2720 related to gross primary productivity estimated from flux towers in temperate forests. 2721 *Remote Sensing of Environment*, 204, 659-671.

2722 Li, X.W., Strahler, A.H. 1985. Geometric-optical modeling of a conifer forest canopy. *IEEE 2723 Transactions on Geoscience and Remote Sensing*, 23, 705-721.

2724 Liang, X.L., Kankare, V., Hyyppa, J., Wang, Y.S., Kukko, A., Haggren, H., Yu, X.W., Kaartinen, 2725 H., Jaakkola, A., Guan, F.Y., Holopainen, M., Vastaranta, M. 2016. Terrestrial laser 2726 scanning in forest inventories. *ISPRS Journal of Photogrammetry and Remote Sensing*, 2727 115, 63-77.

2728 Liu, J., Chen, J.M., Cihlar, J., Park, W.M. 1997. A process-based boreal ecosystem productivity 2729 simulator using remote sensing inputs. *Remote Sensing of Environment*, 62, 158-175.

2730 Liu, J.J., Bowman, K.W., Schimel, D.S., Parazoo, N.C., Jiang, Z., Lee, M., Bloom, A.A., Wunch, 2731 D., Frankenberg, C., Sun, Y., O'Dell, C.W., Gurney, K.R., Menemenlis, D., Gierach, M., 2732 Crisp, D., Eldering, A. 2017. Contrasting carbon cycle responses of the tropical 2733 continents to the 2015-2016 El Nino. *Science*, 358, 191-+.
2734 Liu, S.G., Bond-Lamberty, B., Hicke, J.A., Vargas, R., Zhao, S.Q., Chen, J., Edburg, S.L., Hu, Y.M., Liu, J.X., McGuire, A.D., Xiao, J.F., Keane, R., Yuan, W.P., Tang, J.W., Luo, Y.Q., Potter, C., Oeding, J. 2011. Simulating the impacts of disturbances on forest carbon cycling in North America: Processes, data, models, and challenges. *Journal of Geophysical Research-Biogeosciences*, 116, G00K08, doi:10.1029/2010JG001585.

2739 Liu, W.T. (2015). SATELLITES AND SATELLITE REMOTE SENSING | Surface Wind and Stress. In G.R. North, J. Pyle, F. Zhang (Eds.), *Encyclopedia of Atmospheric Sciences (Second Edition)* (pp. 138-144). Oxford: Academic Press.

2742 Liu, X., Guanter, L., Liu, L., Damm, A., Malenovsky, Z., Rascher, U., Peng, D., Du, S., Gastellu-Etchegorry, J.-P. 2018a. Downscaling of solar-induced chlorophyll fluorescence from canopy level to photosystem level using a random forest model. *Remote Sensing of Environment*, 231, 110772.

2746 Liu, Y.B., Xiao, J.F., Ju, W.M., Zhu, G.L., Wu, X.C., Fan, W.L., Li, D.Q., Zhou, Y.L. 2018b. Satellite-derived LAI products exhibit large discrepancies and can lead to substantial uncertainty in simulated carbon and water fluxes. *Remote Sensing of Environment*, 206, 174-188.

2750 Liu, Y.Y., van Dijk, A., de Jeu, R.A.M., Canadell, J.G., McCabe, M.F., Evans, J.P., Wang, G.J. 2015. Recent reversal in loss of global terrestrial biomass. *Nature Climate Change*, 5, 470-474.

2753 Lloyd, J., Taylor, J.A. 1994. On the temperature-dependence of soil respiration. *Functional Ecology*, 8, 315-323.

2755 Locatelli, R., Bousquet, P., Hourdin, F., Saunois, M., Cozic, A., Couvreux, F., Grandpeix, J.Y., Lefebvre, M.P., Rio, C., Bergamaschi, P., Chambers, S.D., Karstens, U., Kazan, V., van der Laan, S., Meijer, H.A.J., Moncrieff, J., Ramonet, M., Scheeren, H.A., Schlosser, C., Schmidt, M., Vermeulen, A., Williams, A.G. 2015. Atmospheric transport and chemistry of trace gases in LMDz5B: evaluation and implications for inverse modelling. *Geoscientific Model Development*, 8, 129-150.

2761 Los, S.O., Justice, C.O., Tucker, C.J. 1994. A global 1-degree-by-1-degrees NDVI data set for climate studies derived from the GIMMS continental NDVI data. *International Journal of Remote Sensing*, 15, 3493-3518.

2764 Loveland, T.R., Reed, B.C., Brown, J.F., Ohlen, D.O., Zhu, Z., Yang, L., Merchant, J.W. 2000. Development of a global land cover characteristics database and IGBP DISCover from 1 km AVHRR data. *International Journal of Remote Sensing*, 21, 1303-1330.

2767 Lu, D. 2005. Aboveground biomass estimation using Landsat TM data in the Brazilian Amazon. *International Journal of Remote Sensing*, 26, 2509-2525.

2769 Lu, D., Chen, Q., Wang, G., Moran, E., Batistella, M., Zhang, M., Laurin, G.V., Saah, D. 2012. Aboveground forest biomass estimation with Landsat and LiDAR data and uncertainty analysis of the estimates. *International Journal of Forestry Research*, 436537, doi:10.1155/2012/436537.

2773 Lu, D.S., Mausel, P., Brondizio, E., Moran, E. 2004. Relationships between forest stand parameters and Landsat TM spectral responses in the Brazilian Amazon Basin. *Forest Ecology and Management*, 198, 149-167.

2776 Lu, P., Wang, L., Niu, Z., Li, L.H., Zhang, W.H. 2013. Prediction of soil properties using laboratory VIS-NIR spectroscopy and Hyperion imagery. *Journal of Geochemical Exploration*, 132, 26-33.
2779 Luckman, A., Baker, J., Wegmuller, U. 2000. Repeat-pass interferometric coherence measurements of disturbed tropical forest from JERS and ERS satellites. *Remote Sensing of Environment*, 73, 350-360.

2780
2781
2782 Luus, K.A., Commane, R., Parazoo, N.C., Benmergui, J., Euskirchen, E.S., Frankenberg, C., Joiner, J., Lindaas, J., Miller, C.E., Oechel, W.C., Zona, D., Wofsy, S., Lin, J.C. 2017. Tundra photosynthesis captured by satellite-observed solar-induced chlorophyll fluorescence. *Geophysical Research Letters*, 44, 1564-1573.

2786 Ma, X.L., Huete, A., Yu, Q., Coupe, N.R., Davies, K., Broich, M., Ratana, P., Beringer, J., Hutley, L.B., Cleverly, J., Boulain, N., Eamus, D. 2013. Spatial patterns and temporal dynamics in savanna vegetation phenology across the North Australian Tropical Transect. *Remote Sensing of Environment*, 139, 97-115.

2790 MacBean, N., Maignan, F., Bacour, C., Lewis, P., Peylin, P., Guanter, L., Kohler, P., Gomez-Dans, J., Disney, M. 2018. Strong constraint on modelled global carbon uptake using solar-induced chlorophyll fluorescence data. *Scientific Reports*, 8:1973, DOI:10.1038/s41598-018-20024-w.

2794 Madugundu, R., Nizalapur, V., Jha, C.S. 2008. Estimation of LAI and above-ground biomass in deciduous forests: Western Ghats of Karnataka, India. *International Journal of Applied Earth Observation and Geoinformation*, 10, 211-219.

2797 Mahadevan, P., Wofsy, S.C., Matross, D.M., Xiao, X.M., Dunn, A.L., Lin, J.C., Gerbig, C., Munger, J.W., Chow, V.Y., Gottlieb, E.W. 2008. A satellite-based biosphere parameterization for net ecosystem CO2 exchange: Vegetation Photosynthesis and Respiration Model (VPRM). *Global Biogeochemical Cycles*, 22, GB2005, doi:10.1029/2006GB002735.

2802 Markus, T., Neumann, T., Martino, A., Abdalati, W., Brunt, K., Csatho, B., Farrell, S., Fricker, H., Gardner, A., Harding, D., Jasinski, M., Kwok, R., Magruder, L., Lubin, D., Luthcke, S., Morison, J., Nelson, R., Neuenschwander, A., Palm, S., Popescu, S., Shum, C.K., Schutz, B.E., Smith, B., Yang, Y.K., Zwally, J. 2017. The Ice, Cloud, and land Elevation Satellite-2 (ICESat-2): Science requirements, concept, and implementation. *Remote Sensing of Environment*, 190, 260-273.

2808 Masek, J.G., Collatz, G.J. 2006. Estimating forest carbon fluxes in a disturbed southeastern landscape: Integration of remote sensing, forest inventory, and biogeochemical modeling. *Journal of Geophysical Research-Biogeosciences*, 111, G01006, doi:10.1029/2005JG000062.

2812 Masek, J.G., Huang, C., Wolfe, R., Cohen, W., Hall, F., Kutler, J., Nelson, P. 2008. North American forest disturbance mapped from a decadal Landsat record. *Remote Sensing of Environment*, 112, 2914-2926.

2815 Matasci, G., Hermosilla, T., Wulder, M.A., White, J.C., Coops, N.C., Hobart, G.W., Zald, H.S.J. 2018. Large-area mapping of Canadian boreal forest cover, height, biomass and other structural attributes using Landsat composites and lidar plots. *Remote Sensing of Environment*, 209, 90-106.

2819 McBratney, A.B., Santos, M.L.M., Minasny, B. 2003. On digital soil mapping. *Geoderma*, 117, 3-52.

2821 McCandless, S.W., Jackson, C.R. (2004). Principles of Synthetic Aperture Radar. In C.R. Jackson, & J.R. Apel (Eds.), *Synthetic Aperture Radar Marine User's Manual* (pp. 1-81)

2823 McDowell, N.G., Coops, N.C., Beck, P.S.A., Chambers, J.Q., Gangodagamage, C., Hicke, J.A., Huang, C.-y., Kennedy, R., Krofcheck, D.J., Litvak, M., Meddens, A.J.H., Muss, J.,
2825 Negrón-Juarez, R., Peng, C., Schwantes, A.M., Swenson, J.J., Vernon, L.J., Williams, A.P., Xu, C., Zhao, M., Running, S.W., Allen, C.D. 2015. Global satellite monitoring of climate-induced vegetation disturbances. *Trends in Plant Science*, 20, 114-123.

2826
2827
2828 Meddens, A.J.H., Hicke, J.A. 2014. Spatial and temporal patterns of Landsat-based detection of tree mortality caused by a mountain pine beetle outbreak in Colorado, USA. *Forest Ecology and Management*, 322, 78-88.

2831 Meddens, A.J.H., Hicke, J.A., Vierling, L.A., Hudak, A.T. 2013. Evaluating methods to detect bark beetle-caused tree mortality using single-date and multi-date Landsat imagery. *Remote Sensing of Environment*, 132, 49-58.

2834 Meigs, G.W., Kennedy, R.E., Cohen, W.B. 2011a. A Landsat time series approach to characterize bark beetle and defoliator impacts on tree mortality and surface fuels in conifer forests. *Remote Sensing of Environment*, 115, 3707-3718.

2837 Meigs, G.W., Turner, D.P., Ritts, W.D., Yang, Z.Q., Law, B.E. 2011b. Landscape-Scale Simulation of Heterogeneous Fire Effects on Pyrogenic Carbon Emissions, Tree Mortality, and Net Ecosystem Production. *Ecosystems*, 14, 758-775.

2840 Melaas, E.K., Sulla-Menashe, D., Gray, J.M., Black, T.A., Morin, T.H., Richardson, A.D., Friedl, M.A. 2016. Multisite analysis of land surface phenology in North American temperate and boreal deciduous forests from Landsat. *Remote Sensing of Environment*, 186, 452-464.

2844 Meroni, M., Rossini, M., Picchi, V., Panigada, C., Cogliati, S., Nali, C., Colombo, R. 2008. Assessing steady-state fluorescence and PRI from hyperspectral proximal sensing as early indicators of plant stress: The case of ozone exposure. *Sensors*, 8, 1740-1754.

2847 Messinger, M., Asner, G.P., Silman, M. 2016. Rapid assessments of Amazon forest structure and biomass using small unmanned aerial systems. *Remote Sensing*, 8(8), 615; https://doi.org/10.3390/rs8080615.

2850 Miao, G.F., Guan, K.Y., Yang, X., Bernacchi, C.J., Berry, J.A., DeLucia, E.H., Wu, J., Moore, C.E., Meacham, K., Cai, Y.P., Peng, B., Kimm, H., Masters, M.D. 2018. Sun-induced chlorophyll fluorescence, photosynthesis, and light use efficiency of a soybean field from seasonally continuous measurements. *Journal of Geophysical Research-Biogeosciences*, 123, 610-623.

2855 Middleton, E.M., Cheng, Y.B., Hilker, T., Black, T.A., Krishnan, P., Coops, N.C., Huemmrich, K.F. 2009. Linking foliage spectral responses to canopy-level ecosystem photosynthetic light-use efficiency at a Douglas-fir forest in Canada. *Canadian Journal of Remote Sensing*, 35, 166-188.

2859 Middleton, E.M., Huemmrich, K.F., Landis, D.R., Black, T.A., Barr, A.G., McCaughey, J.H. 2016. Photosynthetic efficiency of northern forest ecosystems using a MODIS-derived Photochemical Reflectance Index (PRI). *Remote Sensing of Environment*, 187, 345-366.

2862 Middleton, E.M., K.F. Huemmrich, Q. Zhang, P.K.E. Campbell, and D.R. Landis (2018). Spectral bio-indicators of photosynthetic efficiency and vegetation stress, In, Hyperspectral Remote Sensing of Vegetation (Second Edition, 4 Volume set), Chapter 5, Biophysical and Biochemical Characterization and Plant Species Studies, Editors: P.S. Thenkabail, J.G. Lyon, and A. Huete, Taylor & Francis; Vol 3: 133-179.

2867 Migliavacca, M., Perez-Priego, O., Rossini, M., El-Madany, T.S., Moreno, G., van der Tol, C., Rascher, U., Berninger, A., Bessenbacher, V., Burkart, A., Carrara, A., Fava, F., Guan, J.H., Hammer, T.W., Henkel, K., Juarez-Alcalde, E., Julitta, T., Kolle, O., Martin, M.P., Musavi, T., Pacheco-Labrador, J., Perez-Burgueno, A., Wutzler, T., Zaehle, S.,
2871 Reichstein, M. 2017. Plant functional traits and canopy structure control the relationship between photosynthetic CO2 uptake and far-red sun-induced fluorescence in a Mediterranean grassland under different nutrient availability. *New Phytologist*, 214, 1078-1091.

2875 Mildrexler, D.J., Zhao, M.S., Heinsch, F.A., Running, S.W. 2007. A new satellite-based methodology for continental-scale disturbance detection. *Ecological Applications*, 17, 235-250.

2878 Minh, D.H.T., Le Toan, T., Rocca, F., Tebaldini, S., Villard, L., Rejou-Mechain, M., Phillips, O.L., Feldpausch, T.R., Dubois-Fernandez, P., Scipal, K., Chave, J. 2016. SAR tomography for the retrieval of forest biomass and height: Cross-validation at two tropical forest sites in French Guiana. *Remote Sensing of Environment*, 175, 138-147.

2882 Minu, S., Shetty, A., Minasny, B., Gomez, C. 2017. The role of atmospheric correction algorithms in the prediction of soil organic carbon from Hyperion data. *International Journal of Remote Sensing*, 38, 6435-6456.

2885 Mishra, U., Lal, R., Liu, D.S., Van Meirvenne, M. 2010. Predicting the spatial variation of the soil organic carbon pool at a regional scale. *Soil Science Society of America Journal*, 74, 906-914.

2888 Mohammed, G.H., Colombo, R., Middleton, E.M., Rascher, U., van der Tol, C., Nedbal, L., Goulas, Y., Pérez-Priego, O., Damm, A., Meroni, M., Joiner, J., Cogliati, S., Verhoef, W., Gastellu-Etchegorry, J.-P., Malenovský, Z., Miller, J.R., Guanter, L., Moreno, J., Moya, I., Frankenberg, C., Zarco-Tejada, P.J. (2019). Remote sensing of solar-induced chlorophyll fluorescence (SIF) in vegetation: 50 years of progress, *Remote Sensing of Environment*, 231, https://doi.org/10.1016/j.rse.2019.04.030.

2894 Monteith, J.L. 1972. Solar-radiation and productivity in tropical ecosystems. *Journal of Applied Ecology*, 9, 747-766.

2896 Monteith, J.L., Unsworth, M.H. (1990). *Principles of Environmental Physics*. 2nd ed. Antony Rowe Ltd., Eastbourne, U.K.

2898 Moore, D.J.P., Trahan, N.A., Wilkes, P., Quaife, T., Stephens, B.B., Elder, K., Desai, A.R., Negron, J., Monson, R.K. 2013. Persistent reduced ecosystem respiration after insect disturbance in high elevation forests. *Ecology Letters*, 16, 731-737.

2901 Moran, M.S., Ponce-Campos, G.E., Huete, A., McClaran, M.P., Zhang, Y.G., Hamerlynck, E.P., Augustine, D.J., Gunter, S.A., Kitchen, S.G., Peters, D.P.C., Starks, P.J., Hernandez, M. 2014. Functional response of U.S. grasslands to the early 21st-century drought. *Ecology*, 95, 2121-2133.

2905 Myneni, R.B., Dong, J., Tucker, C.J., Kaufmann, R.K., Kauppi, P.E., Liski, J., Zhou, L., Alexeyev, V., Hughes, M.K. 2001. A large carbon sink in the woody biomass of Northern forests. *Proceedings of the National Academy of Sciences of the United States of America*, 98, 14784-14789.

2909 Myneni, R.B., Hoffman, S., Knyazikhin, Y., Privette, J.L., Glassy, J., Tian, Y., Wang, Y., Song, X., Zhang, Y., Smith, G.R., Lotsch, A., Friedl, M., Morisette, J.T., Votava, P., Nemani, R.R., Running, S.W. 2002. Global products of vegetation leaf area and fraction absorbed PAR from year one of MODIS data. *Remote Sensing of Environment*, 83, 214-231.

2913 Myneni, R.B., Keeling, C.D., Tucker, C.J., Asrar, G., Nemani, R.R. 1997a. Increased plant growth in the northern high latitudes from 1981 to 1991. *Nature*, 386, 698-702.
2915 Myneni, R.B., Nemani, R.R., Running, S.W. 1997b. Estimation of global leaf area index and absorbed par using radiative transfer models. *IEEE Transactions on Geoscience and Remote Sensing*, 35, 1380-1393.

2916
2917
2918 Myneni, R.B., Williams, D.L. 1994. On the relationship between FAPAR and NDVI. *Remote
Sensing of Environment*, 49, 200-211.

2920 Naesset, E., Gobakken, T. 2008. Estimation of above- and below-ground biomass across regions of the boreal forest zone using airborne laser. *Remote Sensing of Environment*, 112, 3079-3090.

2923 Nassar, R., Jones, D.B.A., Kulawik, S.S., Worden, J.R., Bowman, K.W., Andres, R.J., Suntharalingam, P., Chen, J.M., Brenninkmeijer, C.A.M., Schuck, T.J., Conway, T.J., Worthy, D.E. 2011. Inverse modeling of CO2 sources and sinks using satellite observations of CO2 from TES and surface flask measurements. *Atmospheric Chemistry and Physics*, 11, 6029-6047.

2928 Nemani, R.R., Keeling, C.D., Hashimoto, H., Jolly, W.M., Piper, S.C., Tucker, C.J., Myneni, R.B., Running, S.W. 2003. Climate-driven increases in global terrestrial net primary production from 1982 to 1999. *Science*, 300, 1560-1563.

2931 Ni, W., Sun, G., Zhang, Z., Yu, H. (2016). Retrieval of forest aboveground biomass through the synergy of X-band (TeraSAR-X/TandDEM-X) and L-band (PALSAR-2) InSAR data. In, *2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)* (pp. 5304-5306)

2935 Ni, W.J., Zhang, Z.Y., Sun, G.Q., Liu, Q.H. 2018. Modeling interferometric SAR features of forest canopies over mountainous area at landscape scales. *IEEE Transactions on Geoscience and Remote Sensing*, 56, 2958-2967.

2938 Nie, D., Kanemasu, E.T., Fritschen, L.J., Weaver, H.L., Smith, E.A., Verma, S.B., Field, R.T., Kustas, W.P., Stewart, J.B. 1992. An intercomparison of surface-energy flux measurement systems used during FIFE 1987. *Journal of Geophysical Research-Atmospheres*, 97, 18715-18724.

2942 Nobre, C.A., Wickland, D., Kabat, P.I. (2001). Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA). In, *Global Change Newsletter* (pp. 2-4)

2944 Odum, E.P. 1969. Strategy of ecosystem development. *Science*, 164, 262-270.

2945 Ollinger, S.V., Richardson, A.D., Martin, M.E., Hollinger, D.Y., Frolking, S.E., Reich, P.B., Plourde, L.C., Katul, G.G., Munger, J.W., Oren, R., Smithb, M.L., U, K.T.P., Bolstad, P.V., Cook, B.D., Day, M.C., Martin, T.A., Monson, R.K., Schmid, H.P. 2008. Canopy nitrogen, carbon assimilation, and albedo in temperate and boreal forests: Functional relations and potential climate feedbacks. *Proceedings of the National Academy of Sciences of the United States of America*, 105, 19336-19341.

2951 Palace, M., Keller, M., Asner, G.P., Hagen, S., Braswell, B. 2008. Amazon forest structure from IKONOS satellite data and the automated characterization of forest canopy properties. *Biotropica*, 40, 141-150.

2954 Pan, Y., Chen, J.M., Birdsey, R., McCullough, K., He, L., Deng, F. 2011. Age structure and disturbance legacy of North American forests. *Biogeosciences*, 8, 715-732.

2956 Pandit, S., Tsuyuki, S., Dube, T. 2018. Estimating above-ground biomass in sub-tropical buffer zone community forests, Nepal, using Sentinel 2 data. *Remote Sensing*, 10(4), 601; https://doi.org/10.3390/rs10040601.

2959 Pang, Y., Lefsky, M., Andersen, H.E., Miller, M.E., Sherrill, K. 2008. Validation of the ICEsat vegetation product using crown-area-weighted mean height derived using crown
2961 delineation with discrete return lidar data. *Canadian Journal of Remote Sensing*, 34, S471-S484.

2962 Pang, Y., Li, Z.-Y. 2012. Inversion of biomass components of the temperate forest using airborne Lidar technology in Xiaoxing'an Mountains, Northeastern of China. *Chinese Journal of Plant Ecology*, 36, 1095-1105.

2963 Pang, Y., Li, Z.Y., Ju, H.B., Lu, H., Jia, W., Si, L., Guo, Y., Liu, Q.W., Li, S.M., Liu, L.X., Xie, B.B., Tan, B.X., Dian, Y.Y. 2016. LiCHy: The CAF's LiDAR, CCD and hyperspectral integrated airborne observation system. *Remote Sensing*, 8, 398; doi:10.3390/rs8050398.

2969 Papale, D., Black, T.A., Carvalhais, N., Cescatti, A., Chen, J.Q., Jung, M., Kiely, G., Lasslop, G., Mahecha, M.D., Margolis, H., Merbold, L., Montagnani, L., Moors, E., Olesen, J.E., Reichstein, M., Tramontana, G., van Gorsel, E., Wohlfahrt, G., Raduly, B. 2015. Effect of spatial sampling from European flux towers for estimating carbon and water fluxes with artificial neural networks. *Journal of Geophysical Research-Biogeosciences*, 120, 1941-1957.

2975 Papale, D., Valentini, A. 2003. A new assessment of European forests carbon exchanges by eddy fluxes and artificial neural network spatialization. *Global Change Biology*, 9, 525-535.

2977 Parazoo, N.C., Bowman, K., Fisher, J.B., Frankenberg, C., Jones, D.B.A., Cescatti, A., Perez-Priego, O., Wohlfahrt, G., Montagnani, L. 2014. Terrestrial gross primary production inferred from satellite fluorescence and vegetation models. *Global Change Biology*, 20, 3103-3121.

2981 Parazoo, N.C., Bowman, K., Frankenberg, C., Lee, J.E., Fisher, J.B., Worden, J., Jones, D.B.A., Berry, J., Collatz, G.J., Baker, I.T., Jung, M., Liu, J.J., Osterman, G., O'Dell, C., Sparks, A., Butz, A., Guerlet, S., Yoshida, Y., Chen, H.L., Gerbig, C. 2013. Interpreting seasonal changes in the carbon balance of southern Amazonia using measurements of XCO2 and chlorophyll fluorescence from GOSAT. *Geophysical Research Letters*, 40, 2829-2833.

2986 Pastor, J., Aber, J.D., Melillo, J.M. 1984. Biomass prediction using generalized allometric regressions for some Northeast tree species. *Forest Ecology and Management*, 7, 265-274.

2988 Pedelty, J., Devadiga, S., Masuoka, E., Brown, M., Pinzon, J., Tucker, C., Roy, D., Ju, J.C., Vermote, E., Prince, S., Nagol, J., Justice, C., Schaaf, C., Liu, J.C., Privette, J., Pinheiro, A., Ieee (2007). Generating a Long-term Land Data Record from the AVHRR and MODIS instruments. *Igarss: 2007 IEEE International Geoscience and Remote Sensing Symposium, Vols 1-12: Sensing and Understanding Our Planet* (pp. 1021-1024). New York: Ieee.

2994 Peylin, P., Bacour, C., MacBean, N., Leonard, S., Rayner, P., Kuppel, S., Koffi, E., Kane, A., Maignan, F., Chevallier, F., Ciais, P., Prunet, P. 2016. A new stepwise carbon cycle data assimilation system using multiple data streams to constrain the simulated land surface carbon cycle. *Geoscientific Model Development*, 9, 3321-3346.

2998 Peylin, P., Law, R.M., Gurney, K.R., Chevallier, F., Jacobson, A.R., Maki, T., Niwa, Y., Patra, P.K., Peters, W., Rayner, P.J., Rodenbeck, C., van der Laan-Luijkx, I.T., Zhang, X. 2013. Global atmospheric carbon budget: results from an ensemble of atmospheric CO2 inversions. *Biogeosciences*, 10, 6699-6720.

3002 Pinty, B., Janssens-Maenhout, G., Dowell, M., Zunker, H., Brunhes, T., Ciais, P., Dee, D., Denier van der Gon, H., Dolman, H., Drinkwater, M., Engelen, R., Heimann, M., Holmlund, K., Husband, R., Kentarchos, A., Meijer, Y., Palmer, P., Scholze, M. (2017). An Operational Anthropogenic CO₂ Emissions Monitoring Verification Support capacity
3006 - Baseline Requirements. Model Components and Functional Architecture. In E.E.

3007 European Commission Joint Research Centre (Ed.)

3008 Pinzon, J.E., Tucker, C.J. 2014. A non-stationary 1981-2012 AVHRR NDVI3g time series.

3009 *Remote Sensing*, **6**, 6929-6960.

3010 Ploton, P., Barbier, N., Couteron, P., Antin, C.M., Ayyappan, N., Balachandran, N., Barathan, N.,

3011 Bastin, J.F., Chuyong, G., Dauby, G., Droissart, V., Gastellu-Etchegorry, J.P., Kamdem,

3012 N.G., Kenfack, D., Libalah, M., Mofack, G., Momo, S.T., Pargal, S., Petronelli, P.,

3013 Proisy, C., Rejou-Mechain, M., Sonke, B., Texier, N., Thomas, D., Verley, P., Dongmo,

3014 D.Z., Berger, U., Pelissier, R. 2017. Toward a general tropical forest biomass prediction

3015 model from very high resolution optical satellite images. *Remote Sensing of Environment*,

3016 200, 140-153.

3017 Polonsky, I.N., O'Brien, D.M., Kumer, J.B., O'Dell, C.W., Geo, C.T. 2014. Performance of a

3018 geostationary mission, geoCARB, to measure CO2, CH4 and CO column-averaged

3019 concentrations. *Atmospheric Measurement Techniques*, **7**, 959-981.

3020 Ponce-Campos, G.E., Moran, M.S., Huete, A., Zhang, Y.G., Bresloff, C., Huxman, T.E., Eamus,

3021 D., Bosch, D.D., Buda, A.R., Gunter, S.A., Scalley, T.H., Kitchen, S.G., McClaran, M.P.,

3022 McNab, W.H., Montoya, D.S., Morgan, J.A., Peters, D.P.C., Sadler, E.J., Seyfried, M.S.,

3023 Starks, P.J. 2013. Ecosystem resilience despite large-scale altered hydroclimatic

3024 conditions. *Nature*, **494**, 349-352.

3025 Popescu, S.C. 2007. Estimating biomass of individual pine trees using airborne lidar. *Biomass &

3026 *Bioenergy*, **31**, 646-655.

3027 Popescu, S.C., Zhou, T., Nelson, R., Neuenschwande, A., Sheridan, R., Narine, L., Walsh, K.M.

3028 2018. Photon counting LiDAR: An adaptive ground and canopy height retrieval

3029 algorithm for ICESat-2 data. *Remote Sensing of Environment*, **208**, 154-170.

3030 Porcar-Castell, A., Tyystjarvi, E., Atherton, J., van der Tol, C., Flexas, J., Pfundel, E.E., Moreno,

3031 J., Frankenberg, C., Berry, J.A. 2014. Linking chlorophyll a fluorescence to

3032 photosynthesis for remote sensing applications: mechanisms and challenges. *Journal of*

3033 *Experimental Botany*, **65**, 4065-4095.

3034 Potter, C.S., Randerson, J.T., Field, C.B., Matson, P.A., Vitousek, P.M., Mooney, H.A., Klooster,

3035 S.A. 1993. Terrestrial ecosystem production: A process model based on global satellite

3036 and surface data. *Global Biogeochemical Cycles*, **7**, 811-841.

3037 Powell, S.L., Cohen, W.B., Healey, S.P., Kennedy, R.E., Moisen, G.G., Pierce, K.B., Ohmann,

3038 J.L. 2010. Quantification of live aboveground forest biomass dynamics with Landsat

3039 time-series and field inventory data: A comparison of empirical modeling approaches.

3040 *Remote Sensing of Environment*, **114**, 1053-1068.

3041 Price, B., Gomez, A., Mathys, L., Gardi, O., Schellenberger, A., Ginzler, C., Thurig, E. 2017.

3042 Tree biomass in the Swiss landscape: nationwide modelling for improved accounting for

3043 forest and non-forest trees. *Environmental Monitoring and Assessment*, **189**: 106, DOI

3044 10.1007/s10661-017-5816-7.

3045 Pulliainen, J.T., Mikkela, P.J., Hallikainen, M.T., Ikonen, J.P. 1996. Seasonal dynamics of C-

3046 band backscatter of boreal forests with applications to biomass and soil moisture

3047 estimation. *IEEE Transactions on Geoscience and Remote Sensing*, **34**, 758-770.

3048 Qi, W.L., Dubayah, R.O. 2016. Combining Tandem-X InSAR and simulated GEDI lidar

3049 observations for forest structure mapping. *Remote Sensing of Environment*, **187**, 253-266.
3050 Quaife, T., Quegan, S., Disney, M., Lewis, P., Lomas, M., Woodward, F.I. 2008. Impact of land
3051 cover uncertainties on estimates of biospheric carbon fluxes. *Global Biogeochemical
3052 Cycles*, 22, GB4016, doi:10.1029/2007GB003097.

3053 Quegan, S., Toan, L.T., Chave, J., Dall, J., Exbrayat, J.F., Minh, D.H.T., Lomas, M.,
3054 D'Alessandro, M.M., Paillou, P., Papathanassiou, K., Rocca, F., Saatchi, S., Scipal, K.,
3055 Shugart, H., Smallman, T.L., Soja, M.J., Tebaldini, S., Ulander, L., Villard, L., Williams,
3056 M. 2019. The European Space Agency BIOMASS mission: Measuring forest above-
3057 ground biomass from space. *Remote Sensing of Environment*, 227, 44-60.

3058 Raczka, B.M., Davis, K.J., Huntzinger, D., Neilson, R.P., Poulter, B., Richardson, A.D., Xiao,
3059 J.F., Baker, I., Ciais, P., Keenan, T.F., Law, B., Post, W.M., Ricciuto, D., Schaefer, K.,
3060 Tian, H.Q., Tomelleri, E., Verbeeck, H., Viovy, N. 2013. Evaluation of continental
3061 carbon cycle simulations with North American flux tower observations. *Ecological
3062 Monographs*, 83, 531-556.

3063 Rahman, A.F., Sims, D.A., Cordova, V.D., El-Masri, B.Z. 2005. Potential of MODIS EVI and
3064 surface temperature for directly estimating per-pixel ecosystem C fluxes. *Geophysical
3065 Research Letters*, 32, L19404, doi:10.1029/2005GL024127.

3066 Rahman, M.Z., Abu Bakar, M.A., Razak, K.A., Rasib, A., Kanniah, K.D., Kadir, W.H.W., Omar,
3067 H., Faidi, A., Kassim, A., Latif, Z. 2017. Non-destructive, laser-based individual tree
3068 aboveground biomass estimation in a tropical rainforest. *Forests*, 8(3), 86;
3069 https://doi.org/10.3390/f8030086.

3070 Raich, J.W., Schlesinger, W.H. 1992. The global carbon-dioxide flux in soil respiration and its
3071 relationship to vegetation and climate. *Tellus Series B-Chemical and Physical
3072 Meteorology*, 44, 81-99.

3073 Randerson, J.T., Hoffman, F.M., Thornton, P.E., Mahowald, N.M., Lindsay, K., Lee, Y.H.,
3074 Nevison, C.D., Doney, S.C., Bonan, G., Stockli, R., Covey, C., Running, S.W., Fung, I.Y.
3075 2009. Systematic assessment of terrestrial biogeochemistry in coupled climate-carbon
3076 models. *Global Change Biology*, 15, 2462-2484.

3077 Ranson, K.J., Sun, G. 2000. Effects of environmental conditions on boreal forest classification
3078 and biomass estimates with SAR. *IEEE Transactions on Geoscience and Remote Sensing*,
3079 38, 1242-1252.

3080 Ranson, K.J., Sun, G., Weishampel, J.F., Knox, R.G. 1997. Forest biomass from combined
3081 ecosystem and radar backscatter modeling. *Remote Sensing of Environment*, 59, 118-133.

3082 Rascher, U., Agati, G., Alonso, L., Cecchi, G., Champagne, S., Colombo, R., Damm, A.,
3083 Daumard, F., de Miguel, E., Fernandez, G., Franch, B., Franke, J., Gerbig, C., Gioli, B.,
3084 Gomez, J.A., Goulas, Y., Guanter, L., Gutierrez-de-la-Camara, O., Hamdi, K., Hostert, P.,
3085 Jimenez, M., Kosvancova, M., Lognoli, D., Meroni, M., Miglietta, F., Moersch, A.,
3086 Moreno, J., Moya, I., Neininger, B., Okujeni, A., Ounis, A., Palombi, L., Raimondi, V.,
3087 Schickling, A., Sobrino, J.A., Stellmes, M., Toci, G., Toscano, P., Udelhoven, T., van der
3088 Linden, S., Zaldei, A. 2009. CEFLES2: the remote sensing component to quantify
3089 photosynthetic efficiency from the leaf to the region by measuring sun-induced
3090 fluorescence in the oxygen absorption bands. *Biogeosciences*, 6, 1181-1198.

3091 Rascher, U., Alonso, L., Burkart, A., Cilia, C., Cogliati, S., Colombo, R., Damm, A., Drusch, M.,
3092 Guanter, L., Hanus, J., Hyvarinen, T., Julitta, T., Jussila, J., Kataja, K., Kokkalis, P.,
3093 Kraft, S., Kraska, T., Matveeva, M., Moreno, J., Muller, O., Panigada, C., Pikl, M., Pinto,
3094 F., Prey, L., Pude, R., Rossini, M., Schickling, A., Schurr, U., Schuttemeyer, D., Verrelst,
3095 J., Zemek, F. 2015. Sun-induced fluorescence - a new probe of photosynthesis: First maps from the imaging spectrometer HyPlant. *Global Change Biology*, 21, 4673-4684.

3097 Rasmussen, M.O., Gottsche, F.M., Diop, D., Mbow, C., Olesen, F.S., Fensholt, R., Sandholt, I.
3098 2011. Tree survey and allometric models for tiger bush in northern Senegal and
3099 comparison with tree parameters derived from high resolution satellite data. *International
3100 Journal of Applied Earth Observation and Geoinformation*, 13, 517-527.

3101 Ratnayakea, R.R., Karunaratneb, S.B., Lesselsc, J.S., Yogenthirand, N., Rajapakshaa, R.P.S.K.,
3102 Gnanavelrajahd, N. 2016. Digital soil mapping of organic carbon concentration in paddy
3103 growing soils of Northern Sri Lanka. *Geoderma Regional*, 7, 167-176.

3104 Rayner, P.J., O'Brien, D.M. 2001. The utility of remotely sensed CO2 concentration data in
3105 surface source inversions. *Geophysical Research Letters*, 28, 175-178.

3106 Restrepo-Coupe, N., Huete, A., Davies, K., Cleverly, J., Beringer, J., Eamus, D., van Gorsel, E.,
3107 Hutley, L.B., Meyer, W.S. 2016. MODIS vegetation products as proxies of
3108 photosynthetic potential along a gradient of meteorologically and biologically driven
3109 ecosystem productivity. *Biogeosciences*, 13, 5587-5608.

3110 Reuter, M., Buchwitz, M., Hilker, M., Heymann, J., Bovensmann, H., Burrrrows, J.P.,
3111 Houweling, S., Liu, Y.Y., Nassar, R., Chevallier, F., Ciais, P., Marshall, J., Reichstein, M.
3112 2017. How much CO2 is taken up by the European terrestrial biosphere? *Bulletin of the
3113 American Meteorological Society*, 98, 665-671.

3114 Reuter, M., Buchwitz, M., Hilker, M., Heymann, J., Schneising, O., Pillai, D., Bovensmann, H.,
3115 Burrows, J.P., Bosch, H., Parker, R., Butz, A., Hasekamp, O., O'Dell, C.W., Yoshida, Y.,
3116 Gerbig, C., Nehrkorn, T., Deutscher, N.M., Warneke, T., Notholt, J., Hase, F., Kivi, R.,
3117 Sussmann, R., Machida, T., Matsueda, H., Sawa, Y. 2014. Satellite-inferred European
3118 carbon sink larger than expected. *Atmospheric Chemistry and Physics*, 14, 13739-13753.

3119 Richardson, A.D., Hufkens, K., Milliman, T., Frolking, S. 2018. Intercomparison of phenological
3120 transition dates derived from the PhenoCam Dataset V1.0 and MOD.IS satellite remote
3121 sensing. *Scientific Reports*, 8:5679 | DOI:10.1038/s41598-018-23804-6

3122 Richardson, A.J., Wiegand, C.L. 1977. Distinguishing vegetation from soil background
3123 information. *Photogrammetric Engineering and Remote Sensing*, 43, 1541-1552.

3124 Rignot, E., Way, J.B., Williams, C., Viereck, L. 1994. Radar estimates of aboveground biomass
3125 in boreal forests of interior Alaska. *IEEE Transactions on Geoscience and Remote
3126 Sensing*, 32, 1117-1124.

3127 Romero, J.M., Cordon, G.B., Lagorio, M.G. 2018. Modeling re-absorption of fluorescence from
3128 the leaf to the canopy level. *Remote Sensing of Environment*, 204, 138-146.

3129 Rosen, P., Hensley, S., Shaffer, S., Edelstein, W., Kim, Y., Kumar, R., Misra, T., Bhan, R.,
3130 Satish, R., Sagi, R., Ieee (2016). AN UPDATE ON THE NASA-ISRO DUAL-
3131 FREQUENCY DBF SAR (NISAR) MISSION. *2016 IEEE International Geoscience and
3132 Remote Sensing Symposium* (pp. 2106-2108). New York: Ieee.

3133 Rosen, P.A., Hensley, S., Joughin, I.R., Li, F.K., Madsen, S.N., Rodriguez, E., Goldstein, R.M.
3134 2000. Synthetic aperture radar interferometry. *Proceedings of the IEEE*, 88, 333-382.

3135 Rossel, R.A.V., Hicks, W.S. 2015. Soil organic carbon and its fractions estimated by visible-near
3136 infrared transfer functions. *European Journal of Soil Science*, 66, 438-450.

3137 Rossel, R.A.V., Walvoort, D.J.J., McBratney, A.B., Janik, L.J., Skjemstad, J.O. 2006. Visible,
3138 near infrared, mid infrared or combined diffuse reflectance spectroscopy for simultaneous
3139 assessment of various soil properties. *Geoderma*, 131, 59-75.
3140 Rossini, M., Nedbal, L., Guanter, L., Ac, A., Alonso, L., Burkart, A., Cogliati, S., Colombo, R.,
3141 Damm, A., Drusch, M., Hanus, J., Janoutova, R., Julitta, T., Kokkalis, P., Moreno, J.,
3142 Novotny, J., Panigada, C., Pinto, F., Schickling, A., Schuttemeyer, D., Zemek, F.,
3143 Rascher, U. 2015. Red and far red Sun-induced chlorophyll fluorescence as a measure of
3144 plant photosynthesis. *Geophysical Research Letters*, 42, 1632-1639.

3145 Roughgarden, J., Running, S.W., Matson, P.A. 1991. What does remote sensing do for ecology?
3146 *Ecology*, 72, 1918-1922.

3147 Rouse, J.W., Haas, R.H., Schell, J.A., Deering, D.W. (1974). Monitoring vegetation systems in
3148 the Great Plains with ERTS. In, *Paper presented at the 3rd ERTS-1 Symposium*,
3149 *Greenbelt, Maryland*.

3150 Roy, P.S., Ravan, S.A. 1996. Biomass estimation using satellite remote sensing data - An
3151 investigation on possible approaches for natural forest. *Journal of Biosciences*, 21, 535-
3152 561.

3153 Ruimy, A., Jarvis, P., Baldocchi, D., Saugier, B. 1995. CO₂ fluxes over plant canopies and solar
3154 radiation: A review. *Advances in Ecological Research*, 26, 1-68.

3155 Running, S.W., Nemani, R.R., Heinsch, F.A., Zhao, M.S., Reeves, M., Hashimoto, H. 2004. A
3156 continuous satellite-derived measure of global terrestrial primary production. *Bioscience*,
3157 54, 547-560.

3158 Ryu, Y., Baldocchi, D.D., Kobayashi, H., van Ingen, C., Li, J., Black, T.A., Beringer, J., van
3159 Gorsel, E., Knohl, A., Law, B.E., Roupsard, O. 2011. Integration of MODIS land and
3160 atmosphere products with a coupled-process model to estimate gross primary
3161 productivity and evapotranspiration from 1 km to global scales. *Global Biogeochemical
3162 Cycles*, 25, GB4017,doi:10.1029/2011GB004053.

3163 Ryu, Y., Berry, J.A., Baldocchi, D.D. 2019. What is global photosynthesis? History,
3164 uncertainties and opportunities. *Remote Sensing of Environment*, 223, 95-114.

3165 Saatchi, S., Yu, Y., Fore, A., Nuemann, M., Chapman, B., Nguyen, M., Nemani, R., Ganguly, S.,
3166 Zhang, G., Votava, P., Masek, J., Tucker, C., Hall, F., Nelson, R., Cook, B., Birdsey, R.,
3167 Healey, S., Johnson, K., Dubayah, R., Lefsky, M. (2012). CMS US Forest Biomass Map.
3168 In. https://nacp-files.nacarbon.org/biomass_pilot/JPL_ARC_Maps/Continental_US/.

3169 Saatchi, S.S., Harris, N.L., Brown, S., Lefsky, M., Mitchard, E.T.A., Salas, W., Zutta, B.R.,
3170 Buermann, W., Lewis, S.L., Hagen, S., Petrova, S., White, L., Silman, M., Morel, A.
3171 2011. Benchmark map of forest carbon stocks in tropical regions across three continents.
3172 *Proceedings of the National Academy of Sciences of the United States of America*, 108,
3173 9899-9904.

3174 Saatchi, S.S., Houghton, R.A., Alvala, R., Soares, J.V., Yu, Y. 2007. Distribution of
3175 aboveground live biomass in the Amazon basin. *Global Change Biology*, 13, 816-837.

3176 Saleska, S.R., Wu, J., Guan, K.Y., Araujo, A.C., Huete, A., Nobre, A.D., Restrepo-Coupe, N.
3177 2016. Dry-season greening of Amazon forests. *Nature*, 531, E4-E5.

3178 Santoro, M., Askne, J., Smith, G., Fransson, J.E. 2002. Stem volume retrieval in boreal forests
3179 from ERS-1/2 interferometry. *Remote Sensing of Environment*, 81, 19-35.

3180 Santoro, M., Shvidenko, A., McCallum, I., Askne, J., Schmullius, C. 2007. Properties of ERS-
3181 1/2 coherence in the Siberian boreal forest and implications for stem volume retrieval.
3182 *Remote Sensing of Environment*, 106, 154-172.

3183 Sarker, L.R., Nichol, J.E. 2011. Improved forest biomass estimates using ALOS AVNIR-2
3184 texture indices. *Remote Sensing of Environment*, 115, 968-977.
3185 Sasai, T., Ichii, K., Yamaguchi, Y., Nemani, R. 2005. Simulating terrestrial carbon fluxes using the new biosphere model "biosphere model integrating eco-physiological and mechanistic approaches using satellite data" (BEAMS). *Journal of Geophysical Research-Biogeosciences*, 110, G02014, doi:10.1029/2005JG000045.

3189 Schanda, E. 1985. A Radargrammetry Experiment in a Mountain Region. *International Journal of Remote Sensing*, 6, 1113-1124.

3191 Schillaci, C., Acutis, M., Lombardo, L., Lipani, A., Fantappie, M., Marker, M., Saia, S. 2017. Spatio-temporal topsoil organic carbon mapping of a semi-arid Mediterranean region: The role of land use, soil texture, topographic indices and the influence of remote sensing data to modelling. *Science of the Total Environment*, 601, 821-832.

3195 Schimel, D., Pavlick, R., Fisher, J.B., Asner, G.P., Saatchi, S., Townsend, P., Miller, C., Frankenberg, C., Hibbard, K., Cox, P. 2015. Observing terrestrial ecosystems and the carbon cycle from space. *Global Change Biology*, 21, 1762-1776.

3198 Schimel, D.S. 1995. Terrestrial ecosystems and the carbon cycle. *Global Change Biology*, 1, 77-91.

3200 Scholze, M., Buchwitz, M., Dorigo, W., Guanter, L., Shaun, Q.G. 2017. Reviews and syntheses: Systematic Earth observations for use in terrestrial carbon cycle data assimilation systems. *Biogeosciences*, 14, 3401-3429.

3203 Schubert, P., Eklundh, L., Lund, M., Nilsson, M. 2010. Estimating northern peatland CO2 exchange from MODIS time series data. *Remote Sensing of Environment*, 114, 1178-1189.

3206 Schwalm, C.R., Williams, C.A., Schaefer, K., Baldocchi, D., Black, T.A., Goldstein, A.H., Law, B.E., Oechel, W.C., Kyaw, T.P.U., Scott, R.L. 2012. Reduction in carbon uptake during turn of the century drought in western North America. *Nature Geoscience*, 5, 551-556.

3209 Selige, T., Bohner, J., Schmidhalter, U. 2006. High resolution topsoil mapping using hyperspectral image and field data in multivariate regression modeling procedures. *Geoderma*, 136, 235-244.

3212 Sellers, P., Hall, F., Margolis, H., Kelly, B., Baldocchi, D., Denhartog, G., Cihlar, J., Ryan, M.G., Goodison, B., Crill, P., Ranson, K.J., Lettenmaier, D., Wickland, D.E. 1995. The boreal ecosystem-atmosphere study (BOREAS) – an overview and early results from the 1994 field year. *Bulletin of the American Meteorological Society*, 76, 1549-1577.

3216 Sellers, P.J. 1985. Canopy reflectance, photosynthesis and transpiration. *International Journal of Remote Sensing*, 6, 1335-1372.

3218 Sellers, P.J., Hall, F.G., Asrar, G., Strebel, D.E., Murphy, R.E. 1988. The first ISLSCP Field Experiment (FIFE). *Bulletin of the American Meteorological Society*, 69, 22-27.

3220 Sellers, P.J., Randall, D.A., Collatz, G.J., Berry, J.A., Field, C.B., Dazlich, D.A., Zhang, C., Collelo, G.D., Bounoua, L. 1996. A revised land surface parameterization (SiB2) for atmospheric GCMs 1. Model formulation. *Journal of Climate*, 9, 676-705.

3223 Senf, C., Seidl, R., Hostert, P. 2017. Remote sensing of forest insect disturbances: Current state and future directions. *International Journal of Applied Earth Observation and Geoinformation*, 60, 49-60.

3226 Shepherd, K.D., Walsh, M.G. 2002. Development of reflectance spectral libraries for characterization of soil properties. *Soil Science Society of America Journal*, 66, 988-998.

3228 Shi, J.C., Du, Y., Du, J.Y., Jiang, L.M., Chai, L.N., Mao, K.B., Xu, P., Ni, W.J., Xiong, C., Liu, Q., Liu, C.Z., Guo, P., Cui, Q., Li, Y.Q., Chen, J., Wang, A.Q., Luo, H.J., Wang, Y.H.
3230 2012. Progresses on microwave remote sensing of land surface parameters. *Science* 3231 *China-Earth Sciences*, 55, 1052-1078.

3232 Shi, Z., Wang, Q.L., Peng, J., Ji, W.J., Liu, H.J., Li, X., Viscarra Rossel, R.A. 2014. 3233 Development of a national VNIR soil-spectral library for soil classification and 3234 prediction of organic matter concentrations. *Science China-Earth Sciences*, 57, 1671-1680.
3235

3236 Shoshany, M., Karnibad, L. 2011. Mapping shrubland biomass along Mediterranean climatic 3237 gradients: The synergy of rainfall-based and NDVI-based models. *International Journal 3238 of Remote Sensing*, 32, 9497-9508.

3239 Sibanda, M., Mutanga, O., Rouget, M. 2015. Examining the potential of Sentinel-2 MSI spectral 3240 resolution in quantifying above ground biomass across different fertilizer treatments. 3241 *ISPRS Journal of Photogrammetry and Remote Sensing*, 110, 55-65.

3242 Sibanda, M., Mutanga, O., Rouget, M., Kumar, L. 2017. Estimating biomass of native grass 3243 grown under complex management treatments using WorldView-3 spectral derivatives. 3244 *Remote Sensing*, 9(1), 55; https://doi.org/10.1029/2011JG001708.

3245 Simard, M., Pinto, N., Fisher, J.B., Baccini, A. 2011. Mapping forest canopy height globally 3246 with spaceborne lidar. *Journal of Geophysical Research-Biogeosciences*, 116, G04021, 3247 doi:10.1029/2011JG001708.

3248 Sims, D.A., Rahman, A.F., Cordova, V.D., El-Masri, B.Z., Baldocchi, D.D., Bolstad, P.V., 3249 Flanagan, L.B., Goldstein, A.H., Hollinger, D.Y., Misson, L., Monson, R.K., Oechel, 3250 W.C., Schmid, H.P., Wofsy, S.C., Xu, L. 2008. A new model of gross primary 3251 productivity for North American ecosystems based solely on the enhanced vegetation 3252 index and land surface temperature from MODIS. *Remote Sensing of Environment*, 112, 3253 1633-1646.

3254 Sitch, S., Smith, B., Prentice, I.C., Arneth, A., Bondeau, A., Cramer, W., Kaplan, J.O., Levis, S., 3255 Lucht, W., Sykes, M.T., Thonicke, K., Venevsky, S. 2003. Evaluation of ecosystem 3256 dynamics, plant geography and terrestrial carbon cycling in the LPJ dynamic global 3257 vegetation model. *Global Change Biology*, 9, 161-185.

3258 Sjostrom, M., Ardo, J., Arneth, A., Boulain, N., Cappelaere, B., Eklundh, L., de Grandcourt, A., 3259 Kutsch, W.L., Merbold, L., Nouvellon, Y., Scholes, R.J., Schubert, P., Seaquist, J., 3260 Veenendaal, E.M. 2011. Exploring the potential of MODIS EVI for modeling gross 3261 primary production across African ecosystems. *Remote Sensing of Environment*, 115, 3262 1081-1089.

3263 Smith, M.L., Ollinger, S.V., Martin, M.E., Aber, J.D., Hallett, R.A., Goodale, C.L. 2002. Direct 3264 estimation of aboveground forest productivity through hyperspectral remote sensing of 3265 canopy nitrogen. *Ecological Applications*, 12, 1286-1302.

3266 Smith, W.K., Biederman, J.A., Scott, R.L., Moore, D.J.P., He, M., Kimball, J.S., Yan, D., 3267 Hudson, A., Barnes, M.L., MacBean, N., Fox, A.M., Litvak, M.E. 2018. Chlorophyll 3268 fluorescence better captures seasonal and interannual gross primary productivity 3269 dynamics across dryland ecosystems of southwestern North America. *Geophysical 3270 Research Letters*, 45, 748-757.

3271 Smith, W.K., Reed, S.C., Cleveland, C.C., Ballantyne, A.P., Anderegg, W.R.L., Wieder, W.R., 3272 Liu, Y.Y., Running, S.W. 2016. Large divergence of satellite and Earth system model 3273 estimates of global terrestrial CO2 fertilization. *Nature Climate Change*, 6, 306-310.
3274 Soenen, S.A., Peddle, D.R., Hall, R.J., Coburn, C.A., Hall, F.G. 2010. Estimating aboveground forest biomass from canopy reflectance model inversion in mountainous terrain. *Remote Sensing of Environment*, 114, 1325-1337.

3275
3276 Somarathna, P.D.S.N., Malone, B.P., Minasny, B. 2016. Mapping soil organic carbon content over New South Wales, Australia using local regression kriging. *Geoderma Regional*, 7, 38-48.

3280 Song, L., Guanter, L., Guan, K.Y., You, L.Z., Huete, A., Ju, W.M., Zhang, Y.G. 2018. Satellite sun-induced chlorophyll fluorescence detects early response of winter wheat to heat stress in the Indian Indo-Gangetic Plains. *Global Change Biology*, 24, 4023-4037.

3283 Stavros, E.N., Schimel, D., Pavlick, R., Serbin, S., Swann, A., Duncanson, L., Fisher, J.B., Fassnacht, F., Ustin, S., Dubayah, R., Schweiger, A., Wennberg, P. 2017. ISS observations offer insights into plant function. *Nature Ecology & Evolution*, 1, 0194, DOI: 10.1038/s41559-017-0194.

3287 Stefano, P., Angelo, P., Simone, P., Filomena, R., Federico, S., Tiziana, S., Umberto, A., Vincenzo, C., Raffaele, C., Roberto, D.B., Giovanni, L., Acito, N., Marco, D., Stefania, M., Giovalmi, C., Cristina, A., Ieee (2013). The PRISMA hyperspectral mission: science activities and opportunities for agriculture and land monitoring. *2013 Ieee International Geoscience and Remote Sensing Symposium* (pp. 4558-4561). New York: Ieee.

3292 Stevens, A., Udelhoven, T., Denis, A., Tychon, B., Lioy, R., Hoffmann, L., van Wesemael, B. 2010. Measuring soil organic carbon in croplands at regional scale using airborne imaging spectroscopy. *Geoderma*, 158, 32-45.

3295 Stocker, B.D., Zscheischler, J., Keenan, T.F., Prentice, I.C., Penuelas, J., Seneviratne, S.I. 2018. Quantifying soil moisture impacts on light use efficiency across biomes. *New Phytologist*, 218, 1430-1449.

3298 Stockli, R., Rutishauser, T., Dragoni, D., O'Keefe, J., Thornton, P.E., Jolly, M., Lu, L., Denning, A.S. 2008. Remote sensing data assimilation for a prognostic phenology model. *Journal of Geophysical Research-Biogeosciences*, 113, G04021, doi:10.1029/2008JG000781.

3301 Stone, T.A., Houghton, R.A., Melillo, J.M., Woodwell, G.M. 1983. Deforestation in the Amazon basin measured by satellite – a release of CO2 to the atmosphere. *Biological Bulletin*, 165, 511-511.

3304 Stovall, A.E.L., Vorster, A.G., Anderson, R.S., Evangelista, P.H., Shugart, H.H. 2017. Non-destructive aboveground biomass estimation of coniferous trees using terrestrial LiDAR. *Remote Sensing of Environment*, 200, 31-42.

3307 Stoffler, T., Kaufmann, C., Hofer, S., Forster, K.P., Schreier, G., Mueller, A., Eckardt, A., Bach, H., Penne, B., Benz, U., Haydn, R. 2007. The EnMAP hyperspectral imager- An advanced optical payload for future applications in Earth observation programmes. *Acta Astronautica*, 61, 115-120.

3311 Sturrock, R.N., Frankel, S.J., Brown, A.V., Hennon, P.E., Kliejunas, J.T., Lewis, K.J., Worrall, J.J., Woods, A.J. 2011. Climate change and forest diseases. *Plant Pathology*, 60, 133-149.

3313 Sun, G., Ranson, K.J., Kharuk, V.I. 2002. Radiometric slope correction for forest biomass estimation from SAR data in the Western Sayani Mountains, Siberia. *Remote Sensing of Environment*, 79, 279-287.

3316 Sun, G.Q., Ranson, K.J., Guo, Z., Zhang, Z., Montesano, P., Kimes, D. 2011. Forest biomass mapping from lidar and radar synergies. *Remote Sensing of Environment*, 115, 2906-2916.

3318 Sun, Y., Frankenberg, C., Jung, M., Joiner, J., Guanter, L., Kohler, P., Magney, T. 2018. Overview of Solar-Induced chlorophyll Fluorescence (SIF) from the Orbiting Carbon
3320 Observatory-2: Retrieval, cross-mission comparison, and global monitoring for GPP.

3321 *Remote Sensing of Environment*, 209, 808-823.

3322 Sun, Y., Frankenberg, C., Wood, J.D., Schimel, D.S., Jung, M., Guanter, L., Drewry, D.T.,

3323 Verma, M., Porcar-Castell, A., Griffis, T.J., Gu, L., Magney, T.S., Kohler, P., Evans, B.,

3324 Yuen, K. 2017. OCO-2 advances photosynthesis observation from space via solar-

3325 induced chlorophyll fluorescence. *Science*, 358, eaam5747, DOI:

3326 10.1126/science.aam5747.

3327 Sun, Y., Fu, R., Dickinson, R., Joiner, J., Frankenberg, C., Gu, L.H., Xia, Y.L., Fernando, N.

3328 2015. Drought onset mechanisms revealed by satellite solar-induced chlorophyll

3329 fluorescence: Insights from two contrasting extreme events. *Journal of Geophysical

3330 *Research-Biogeosciences*, 120, 2427-2440.

3331 Tang, X.G., Liu, D.W., Song, K.S., Munger, J.W., Zhang, B., Wang, Z.M. 2011. A new model of

3332 net ecosystem carbon exchange for the deciduous-dominated forest by integrating

3333 MODIS and flux data. *Ecological Engineering*, 37, 1567-1571.

3334 Tans, P.P. 1997. The CO2 lifetime concept should be banished - Comment. *Climatic Change*, 37,

3335 487-490.

3336 Tao, S.L., Guo, Q.H., Li, L., Xue, B.L., Kelly, M., Li, W.K., Xu, G.C., Su, Y.J. 2014. Airborne

3337 Lidar-derived volume metrics for aboveground biomass estimation: A comparative

3338 assessment for conifer stands. *Agricultural and Forest Meteorology*, 198, 24-32.

3339 TerMikaelian, M.T., Korzukhin, M.D. 1997. Biomass equations for sixty-five North American

3340 tree species. *Forest Ecology and Management*, 97, 1-24.

3341 Thum, T., Zaehle, S., Kohler, P., Aalto, T., Aurela, M., Guanter, L., Kolari, P., Laurila, T.,

3342 Lohila, A., Magnani, F., Van der Tol, C., Markkanen, T. 2017. Modelling sun-induced

3343 fluorescence and photosynthesis with a land surface model at local and regional scales in

3344 northern Europe. *Biogeosciences*, 14, 1969-1987.

3345 Tramontana, G., Jung, M., Schwalm, C.R., Ichii, K., Camps-Valls, G., Raduly, B., Reichstein,

3346 M., Arain, M.A., Cescatti, A., Kiely, G., Merbold, L., Serrano-Ortiz, P., Sickert, S., Wolf,

3347 S., Papale, D. 2016. Predicting carbon dioxide and energy fluxes across global

3348 FLUXNET sites with regression algorithms. *Biogeosciences*, 13, 4291-4313.

3349 Tucker, C.J., Fung, I.Y., Keeling, C.D., Gammon, R.H. 1986. Relationship between atmospheric

3350 CO₂ variations and a satellite-derived vegetation index. *Nature*, 319, 195-199.

3351 Tucker, C.J., Pinzon, J.E., Brown, M.E., Slayback, D.A., Pak, E.W., Mahoney, R., Vermote, E.F.,

3352 El Saleous, N. 2005. An extended AVHRR 8-km NDVI dataset compatible with MODIS

3353 and SPOT vegetation NDVI data. *International Journal of Remote Sensing*, 26, 4485-

3354 4498.

3355 Tucker, C.J., Slayback, D.A., Pinzon, J.E., Los, S.O., Myneni, R.B., Taylor, M.G. 2001. Higher

3356 northern latitude normalized difference vegetation index and growing season trends from

3357 1982 to 1999. *International Journal of Biometeorology*, 45, 184-190.

3358 Turner, D.P., Ollinger, S.V., Kimball, J.S. 2004. Integrating remote sensing and ecosystem

3359 process models for landscape- to regional-scale analysis of the carbon cycle. *Bioscience*,

3360 54, 573-584.

3361 Turner, D.P., Ritts, W.D., Cohen, W.B., Gower, S.T., Running, S.W., Zhao, M.S., Costa, M.H.,

3362 Kirschbaum, A.A., Ham, J.M., Saleska, S.R., Ahl, D.E. 2006. Evaluation of MODIS NPP

3363 and GPP products across multiple biomes. *Remote Sensing of Environment*, 102, 282-292.
3364 Turner, M.G., Hargrove, W.W., Gardner, R.H., Romme, W.H. 1994. Effects of fire on landscape heterogeneity in Yellowstone-National-Park, Wyoming. *Journal of Vegetation Science*, 5, 731-742.

3365 van der Tol, C., Verhoef, W., Timmermans, J., Verhoef, A., Su, Z. 2009. An integrated model of soil-canopy spectral radiances, photosynthesis, fluorescence, temperature and energy balance. *Biogeosciences*, 6, 3109-3129.

3367 van der Werf, G.R., Randerson, J.T., Giglio, L., van Leeuwen, T.T., Chen, Y., Rogers, B.M., Mu, M.Q., van Marle, M.J.E., Morton, D.C., Collatz, G.J., Yokelson, R.J., Kasibhatla, P.S. 2017. Global fire emissions estimates during 1997-2016. *Earth System Science Data*, 9, 697-720.

3370 van Leeuwen, W.J.D., Orr, B.J., Marsh, S.E., Herrmann, S.M. 2006. Multi-sensor NDVI data continuity: Uncertainties and implications for vegetation monitoring applications. *Remote Sensing of Environment*, 100, 67-81.

3371 van Mantgem, P.J., Stephenson, N.L., Byrne, J.C., Daniels, L.D., Franklin, J.F., Fule, P.Z., Harmon, M.E., Larson, A.J., Smith, J.M., Taylor, A.H., Veblen, T.T. 2009. Widespread increase of tree mortality rates in the western United States. *Science*, 323, 521-524.

3372 Vastaranta, M., Holopainen, M., Karjalainen, M., Kankare, V., Hyyppa, J., Kaasalainen, S. 2014. TerraSAR-X stereo radargrammetry and airborne scanning LiDAR height metrics in imputation of forest aboveground biomass and stem volume. *IEEE Transactions on Geoscience and Remote Sensing*, 52, 1197-1204.

3373 Vastaranta, M., Holopainen, M., Karjalainen, M., Kankare, V., Hyyppa, J., Kaasalainen, S., Hyyppa, H. 2012. SAR Radargrammetry and Scanning Lidar in Predicting Forest Canopy Height. *2012 IEEE International Geoscience and Remote Sensing Symposium*, 6515-6518.

3374 Verma, M., Schimel, D., Evans, B., Frankenberg, C., Beringer, J., Drewry, D.T., Magney, T., Marang, I., Hutley, L., Moore, C., Eldering, A. 2017. Effect of environmental conditions on the relationship between solar-induced fluorescence and gross primary productivity at an OzFlux grassland site. *Journal of Geophysical Research-Biogeosciences*, 122, 716-733.

3375 Veroustraete, F., Sabbe, H., Eerens, H. 2002. Estimation of carbon mass fluxes over Europe using the C-Fix model and Euroflux data. *Remote Sensing of Environment*, 83, 376-399.

3376 Verrelst, J., Rivera, J.P., van der Tol, C., Magnani, F., Mohammed, G., Moreno, J. 2015. Global sensitivity analysis of the SCOPE model: What drives simulated canopy-leaving sun-induced fluorescence? *Remote Sensing of Environment*, 166, 8-21.

3377 Walther, S., Voigt, M., Thum, T., Gonsamo, A., Zhang, Y.G., Kohler, P., Jung, M., Varlagin, A., Guanter, L. 2016. Satellite chlorophyll fluorescence measurements reveal large-scale decoupling of photosynthesis and greenness dynamics in boreal evergreen forests. *Global Change Biology*, 22, 2979-2996.

3378 Wang, B., Waters, C., Orgill, S., Gray, J., Cowie, A., Clark, A., Liu, D.L. 2018. High resolution mapping of soil organic carbon stocks using remote sensing variables in the semi-arid rangelands of eastern Australia. *Science of the Total Environment*, 630, 367-378.

3379 Wang, D.L., Xin, X.P., Shao, Q.Q., Brolly, M., Zhu, Z.L., Chen, J. 2017. Modeling aboveground biomass in Hulunber grassland ecosystem by using unmanned aerial vehicle discrete lidar. *Sensors*, 17, 180; doi:10.3390/s17010180.
3408 Wang, J., Rich, P.M., Price, K.P., Kettle, W.D. 2004. Relations between NDVI and tree productivity in the central Great Plains. *International Journal of Remote Sensing*, 25, 3127-3138.

3411 Wang, X.F., Xiao, J.F., Li, X., Cheng, G.D., Ma, M.G., Zhu, G.F., Arain, M.A., Black, T.A., Jassal, R.S. 2019. No trends in spring and autumn phenology during the global warming hiatus. *Nature Communications*, 10:2389, https://doi.org/10.1038/s41467-019-10235-8.

3414 Wehr, R., Munger, J.W., McManus, J.B., Nelson, D.D., Zahniser, M.S., Davidson, E.A., Wofsy, S.C., Saleska, S.R. 2016. Seasonality of temperate forest photosynthesis and daytime respiration. *Nature*, 534, 680-+.

3417 Were, K., Bui, D.T., Dick, O.B., Singh, B.R. 2015. A comparative assessment of support vector regression, artificial neural networks, and random forests for predicting and mapping soil organic carbon stocks across an Afromontane landscape. *Ecological Indicators*, 52, 394-403.

3421 Wilcox, C.H., Frazier, B.E., Ball, S.T. 1994. Relationship between soil organic carbon and Landsat TM data in eastern Washington. *Photogrammetric Engineering and Remote Sensing*, 60, 777-781.

3424 Wilson, B.T., Woodall, C.W., Griffith, D.M. 2013. Imputing forest carbon stock estimates from inventory plots to a nationally continuous coverage. *Carbon Balance and Management*, 8:1, http://www.cbmjournal.com/content/8/1/1.

3427 Wirth, C., Schumacher, J., Schulze, E.D. 2004. Generic biomass functions for Norway spruce in Central Europe - a meta-analysis approach toward prediction and uncertainty estimation. *Tree Physiology*, 24, 121-139.

3430 WMO/IAEA (2016). 18th WMO/IAEA Meeting on Carbon Dioxide, Other Greenhouse Gases and Related Measurement Techniques (GGMT-2015). 13-17 September 2015; La Jolla, CA, USA.

3433 Wofsy, S.C., Goulden, M.L., Munger, J.W., Fan, S.M., Bakwin, P.S., Daube, B.C., Bassow, S.L., Bazzaz, F.A. 1993. Net exchange of CO₂ in a midlatitude forest. *Science*, 260, 1314-1317.

3435 Wohlfahrt, G., Gerdel, K., Migliavacca, M., Rotenberg, E., Tatarinov, F., Muller, J., Hammerle, A., Julitta, T., Spielmann, F.M., Yakir, D. 2018. Sun-induced fluorescence and gross primary productivity during a heat wave. *Scientific Reports*, 8:14169, DOI:10.1038/s41598-018-32602-z.

3439 Wolanin, A., Rozanov, V.V., Dinter, T., Noel, S., Vountas, M., Burrows, J.P., Bracher, A. 2015. Global retrieval of marine and terrestrial chlorophyll fluorescence at its red peak using hyperspectral top of atmosphere radiance measurements: Feasibility study and first results. *Remote Sensing of Environment*, 166, 243-261.

3443 Wood, J.D., Griffis, T.J., Baker, J.M., Frankenberg, C., Verma, M., Yuen, K. 2017. Multiscale analyses of solar-induced florescence and gross primary production. *Geophysical Research Letters*, 44, 533-541.

3446 Woodcock, C.E., Allen, R., Anderson, M., Belward, A., Bindschadler, R., Cohen, W., Gao, F., Goward, S.N., Helder, D., Helmer, E., Nemani, R., Oreopoulos, L., Schott, J., Thenkabail, P.S., Vermote, E.F., Vogelmann, J., Wulder, M.A., Wynne, R., Landsat Sci, T. 2008. Free access to Landsat imagery. *Science*, 320, 1011-1011.

3450 Wu, C.Y., Gaumont-Guay, D., Black, T.A., Jassal, R.S., Xu, S.G., Chen, J.M., Gonsamo, A. 2014. Soil respiration mapped by exclusively use of MODIS data for forest landscapes of Saskatchewan, Canada. *ISPRS Journal of Photogrammetry and Remote Sensing*, 94, 80-90.
3454 Wu, J., van Aardt, J.A.N., Asner, G.P., Mathieu, R., Kennedy-Bowdoin, T., Knapp, D., Wessels, K., Erasmus, B.F.N., Smit, I., Ieee (2009). Connecting the dots between laser waveforms and herbaceous biomass for assessment of land degradation using small-footprint waveform LiDAR data. 2009 IEEE International Geoscience and Remote Sensing Symposium, Vols 1-5 (pp. 585-+). New York: Ieee.

3455 Wu, Y.C., Strahler, A.H. 1994. Remote estimation of crown size, stand density, and biomass on the Oregon transect. *Ecological Applications*, 4, 299-312.

3461 Wulder, M.A., Masek, J.G., Cohen, W.B., Loveland, T.R., Woodcock, C.E. 2012. Opening the archive: How free data has enabled the science and monitoring promise of Landsat. *Remote Sensing of Environment*, 122, 2-10.

3464 Wulder, M.A., White, J.C., Loveland, T.R., Woodcock, C.E., Belward, A.S., Cohen, W.B., Fosnight, E.A., Shaw, J., Masek, J.G., Roy, D.P. 2016. The global Landsat archive: Status, consolidation, and direction. *Remote Sensing of Environment*, 185, 271-283.

3467 Wunch, D., Toon, G.C., Wennberg, P.O., Wofsy, S.C., Stephens, B.B., Fischer, M.L., Uchino, O., Abshire, J.B., Bernath, P., Biraud, S.C., Blavier, J.F.L., Boone, C., Bowman, K.P., Browell, E.V., Campos, T., Connor, B.J., Daube, B.C., Deutscher, N.M., Diao, M., Elkins, J.W., Gerbig, C., Gottlieb, E., Griffith, D.W.T., Hurst, D.F., Jimenez, R., Keppel-Aleks, G., Kort, E.A., Macatangay, R., Machida, T., Matsueda, H., Moore, F., Morino, I., Park, S., Robinson, J., Roehl, C.M., Sawa, Y., Sherlock, V., Sweeney, C., Tanaka, T., Zondlo, M.A. 2010. Calibration of the total carbon column observing network using aircraft profile data. *Atmospheric Measurement Techniques*, 3, 1351-1362.

3475 Wunch, D., Wennberg, P.O., Toon, G.C., Connor, B.J., Fisher, B., Osterman, G.B., Frankenberg, C., Mandrake, L., O'Dell, C., Ahonen, P., Biraud, S.C., Castano, R., Cressie, N., Crisp, D., Deutscher, N.M., Eldering, A., Fisher, M.L., Griffith, D.W.T., Gunson, M., Heikkinen, P., Keppel-Aleks, G., Kyro, E., Lindenmaier, R., Macatangay, R., Mendonca, J., Messerschmidt, J., Miller, C.E., Morino, I., Notholt, J., Oyafuso, F.A., Rettinger, M., Robinson, J., Roehl, C.M., Salawitch, R.J., Sherlock, V., Strong, K., Sussmann, R., Tanaka, T., Thompson, D.R., Uchino, O., Warneke, T., Wofsy, S.C. 2011. A method for evaluating bias in global measurements of CO2 total columns from space. *Atmospheric Chemistry and Physics*, 11, 12317-12337.

3484 Wylie, B.K., Johnson, D.A., Laca, E., Saliendra, N.Z., Gilmanov, T.G., Reed, B.C., Tieszen, L.L., Worstell, B.B. 2003. Calibration of remotely sensed, coarse resolution NDVI to CO2 fluxes in a sagebrush-steppe ecosystem. *Remote Sensing of Environment*, 85, 243-255.

3485 Xiao, J., Moody, A. 2005. Geographical distribution of global greening trends and their climatic correlates: 1982-1998. *International Journal of Remote Sensing*, 26, 2371-2390.

3490 Xiao, J.F. 2014. Satellite evidence for significant biophysical consequences of the "Grain for Green" Program on the Loess Plateau in China. *Journal of Geophysical Research-Biogeosciences*, 119, 2261-2275.

3491 Xiao, J.F., Chen, J.Q., Davis, K.J., Reichstein, M. 2012. Advances in upscaling of eddy covariance measurements of carbon and water fluxes. *Journal of Geophysical Research-Biogeosciences*, 117, G00J01, doi:10.1029/2011JG001889.

3492 Xiao, J.F., Zhuang, Q.L., Law, B.E., Baldocchi, D.D., Chen, J.Q., Richardson, A.D., Melillo, J.M., Davis, K.J., Hollinger, D.Y., Wharton, S., Oren, R., Noormets, A., Fischer, M.L., Verma, S.B., Cook, D.R., Sun, G., McNulty, S., Wofsy, S.C., Bolstad, P.V., Burns, S.P., Curtis, P.S., Drake, B.G., Falk, M., Foster, D.R., Gu, L.H., Hadley, J.L., Katulk, G.G.,
3500 Litvak, M., Ma, S.Y., Martinz, T.A., Matamala, R., Meyers, T.P., Monson, R.K., Munger, J.W., Oechel, W.C., Paw U, K.T., Schmid, H.P., Scott, R.L., Starr, G., Suyker, A.E., Torn, M.S. 2011b. Assessing net ecosystem carbon exchange of U.S. terrestrial ecosystems by integrating eddy covariance flux measurements and satellite observations. *Agricultural and Forest Meteorology*, 151, 60-69.

3501 Xiao, J.F., Davis, K.J., Urban, N.M., Keller, K., Saliendra, N.Z. 2011a. Upscaling carbon fluxes from towers to the regional scale: Influence of parameter variability and land cover representation on regional flux estimates. *Journal of Geophysical Research-Biogeosciences*, 116, G00J06, doi:10.1029/2010JG001568.

3502 Xiao, J.F., Moody, A. 2004. Photosynthetic activity of US biomes: responses to the spatial variability and seasonality of precipitation and temperature. *Global Change Biology*, 10, 437-451.

3512 Xiao, J.F., Ollinger, S.V., Frolking, S., Hurtt, G.C., Hollinger, D.Y., Davis, K.J., Pan, Y.D., Zhang, X.Y., Deng, F., Chen, J.Q., Baldocchi, D.D., Law, B.E., Arain, M.A., Desai, A.R., Richardson, A.D., Sun, G., Amiro, B., Margolis, H., Gu, L.H., Scott, R.L., Blanken, P.D., Suyker, A.E. 2014a. Data-driven diagnostics of terrestrial carbon dynamics over North America. *Agricultural and Forest Meteorology*, 197, 142-157.

3517 Xiao, J.F., Davis, K.J., Urban, N.M., Keller, K. 2014b. Uncertainty in model parameters and regional carbon fluxes: A model-data fusion approach. *Agricultural and Forest Meteorology*, 189, 175-186.

3520 Xiao, J.F., Sun, G., Chen, J.Q., Chen, H., Chen, S.P., Dong, G., Gao, S.H., Guo, H.Q., Guo, J.X., Han, S.J., Kato, T., Li, Y.L., Lin, G.H., Lu, W.Z., Ma, M.G., McNulty, S., Shao, C.L., Wang, X.F., Xie, X., Zhang, X.D., Zhang, Z.Q., Zhao, B., Zhou, G.S., Zhou, J. 2013. Carbon fluxes, evapotranspiration, and water use efficiency of terrestrial ecosystems in China. *Agricultural and Forest Meteorology*, 182-183, 76-90.

3525 Xiao, J.F., Zhou, Y., Zhang, L. 2015. Contributions of natural and human factors to increases in vegetation productivity in China. *Ecosphere*, 6(11):233. http://dx.doi.org/10.1890/ES14-00394.1.

3528 Xiao, J.F., Zhuang, Q.L., Baldocchi, D.D., Law, B.E., Richardson, A.D., Chen, J.Q., Oren, R., Starr, G., Noormets, A., Ma, S.Y., Verma, S.B., Wharton, S., Wofsy, S.C., Bolstad, P.V., Burns, S.P., Cook, D.R., Curtis, P.S., Drake, B.G., Falk, M., Fischer, M.L., Foster, D.R., Gu, L.H., Hadley, J.L., Hollinger, D.Y., Katul, G.G., Litvak, M., Martin, T.A., Matamala, R., McNulty, S., Meyers, T.P., Monson, R.K., Munger, J.W., Oechel, W.C., Paw U, K.T., Schmid, H.P., Scott, R.L., Sun, G., Suyker, A.E., Torn, M.S. 2008. Estimation of net ecosystem carbon exchange for the conterminous United States by combining MODIS and AmeriFlux data. *Agricultural and Forest Meteorology*, 148, 1827-1847.

3536 Xiao, J.F., Zhuang, Q.L., Law, B.E., Chen, J.Q., Baldocchi, D.D., Cook, D.R., Oren, R., Richardson, A.D., Wharton, S., Ma, S.Y., Martin, T.A., Verma, S.B., Suyker, A.E., Scott, R.L., Monson, R.K., Litvak, M., Hollinger, D.Y., Sun, G., Davis, K.J., Bolstad, P.V., Burns, S.P., Curtis, P.S., Drake, B.G., Falk, M., Fischer, M.L., Foster, D.R., Gu, L.H., Hadley, J.L., Katul, G.G., Roser, Y., McNulty, S., Meyers, T.P., Munger, J.W., Noormets, A., Oechel, W.C., Paw, K.T., Schmid, H.P., Starr, G., Torn, M.S., Wofsy, S.C. 2010. A continuous measure of gross primary production for the conterminous United States derived from MODIS and AmeriFlux data. *Remote Sensing of Environment*, 114, 576-591.
3545 Xiao, X.M., Hollinger, D., Aber, J., Goltz, M., Davidson, E.A., Zhang, Q.Y., Moore, B. 2004.

3546 Satellite-based modeling of gross primary production in an evergreen needleleaf forest.

3547 *Remote Sensing of Environment*, 89, 519-534.

3548 Xiao, Z.Q., Liang, S.L., Sun, R., Wang, J.D., Jiang, B. 2015. Estimating the fraction of absorbed

3549 photosynthetically active radiation from the MODIS data based GLASS leaf area index

3550 product. *Remote Sensing of Environment*, 171, 105-117.

3551 Yang, F.H., Ichii, K., White, M.A., Hashimoto, H., Michaelis, A.R., Votava, P., Zhu, A.X.,

3552 Huete, A., Running, S.W., Nemani, R.R. 2007. Developing a continental-scale measure

3553 of gross primary production by combining MODIS and AmeriFlux data through Support

3554 Vector Machine approach. *Remote Sensing of Environment*, 110, 109-122.

3555 Yang, H.L., Yang, X., Zhang, Y.G., Heskel, M.A., Lu, X.L., Munger, J.W., Sun, S.C., Tang, J.W.

3556 2017. Chlorophyll fluorescence tracks seasonal variations of photosynthesis from leaf to

3557 canopy in a temperate forest. *Global Change Biology*, 23, 2874-2886.

3558 Yang, K., Ryu, Y., Dechant, B., Berry, J.A., Hwang, Y., Jiang, C., Kang, M., Min, J., Kimm, H.,

3559 Kornfeld, A., Yang, X. 2018. Sun-induced chlorophyll fluorescence is more strongly

3560 related to absorbed light than to photosynthesis at half-hourly resolution in a rice paddy.

3561 *Remote Sensing of Environment*, 216, 658-673.

3562 Yang, P.Q., van der Tol, C. 2018. Linking canopy scattering of far-red sun-induced chlorophyll

3563 fluorescence with reflectance. *Remote Sensing of Environment*, 209, 456-467.

3564 Yang, R.M., Rossiter, D.G., Liu, F., Lu, Y.Y., Yang, F., Yang, F., Zhao, Y.G., Li, D.C., Zhang,

3565 G.L. 2015a. Predictive mapping of topsoil organic carbon in an alpine environment aided

3566 by Landsat TM. *Plos One*, 10(10): e0139042.doi:10.1371/journal.pone.0139042.

3567 Yang, X., Tang, J.W., Mustard, J.F., Lee, J.E., Rossini, M., Joiner, J., Munger, J.W., Kornfeld,

3568 A., Richardson, A.D. 2015b. Solar-induced chlorophyll fluorescence that correlates with

3569 canopy photosynthesis on diurnal and seasonal scales in a temperate deciduous forest.

3570 *Geophysical Research Letters*, 42, 2977-2987.

3571 Yoshida, Y., Joiner, J., Tucker, C., Berry, J., Lee, J.E., Walker, G., Reichle, R., Koster, R.,

3572 Lyapustin, A., Wang, Y. 2015. The 2010 Russian drought impact on satellite

3573 measurements of solar-induced chlorophyll fluorescence: Insights from modeling and

3574 comparisons with parameters derived from satellite reflectances. *Remote Sensing of

3575 Environment*, 166, 163-177.

3576 Yu, Y.F., Saatchi, S. 2016. Sensitivity of L-band SAR backscatter to aboveground biomass of

3577 global forests. *Remote Sensing*, 8(6), 522; https://doi.org/10.3390/rs8060522.

3578 Yuan, W.P., Liu, S., Zhou, G.S., Zhou, G.Y., Tieszen, L.L., Baldocchi, D., Bernhofer, C., Gholz,

3579 H., Goldstein, A.H., Goulden, M.L., Hollinger, D.Y., Hu, Y., Law, B.E., Stoy, P.C.,

3580 Vesala, T., Wofsy, S.C., AmeriFlux, C. 2007. Deriving a light use efficiency model from

3581 eddy covariance flux data for predicting daily gross primary production across biomes.

3582 *Agricultural and Forest Meteorology*, 143, 189-207.

3583 Yuan, W.P., Liu, S.G., Dong, W.J., Liang, S.L., Zhao, S.Q., Chen, J.M., Xu, W.F., Li, X.L., Barr,

3584 A., Black, T.A., Yan, W.D., Goulden, M.L., Kulmala, L., Lindroth, A., Margolis, H.A.,

3585 Matsuura, Y., Moors, E., van der Molen, M., Ohta, T., Pilegaard, K., Varlagin, A., Vesala,

3586 T. 2014. Differentiating moss from higher plants is critical in studying the carbon cycle

3587 of the boreal biome. *Nature Communications*, 5:4270, DOI: 10.1038/ncomms5270.

3588 Zarco-Tejada, P.J., Morales, A., Testi, L., Villalobos, F.J. 2013. Spatio-temporal patterns of

3589 chlorophyll fluorescence and physiological and structural indices acquired from
3590 hyperspectral imagery as compared with carbon fluxes measured with eddy covariance.

3591 *Remote Sensing of Environment*, 133, 102-115.

3592 Zhang, C.H., Ju, W.M., Chen, J.M., Li, D.Q., Wang, X.Q., Fan, W.Y., Li, M.S., Zan, M. 2014a.

3593 Mapping forest stand age in China using remotely sensed forest height and observation

3594 data. *Journal of Geophysical Research-Biogeosciences*, 119, 1163-1179.

3595 Zhang, L., Wylie, B., Loveland, T., Fosnight, E., Tieszen, L.L., Ji, L., Gilmanov, T. 2007.

3596 Evaluation and comparison of gross primary production estimates for the Northern Great

3597 Plains grasslands. *Remote Sensing of Environment*, 106, 173-189.

3598 Zhang, Q.Y., Cheng, Y.B., Lyapustin, A.I., Wang, Y.J., Gao, F., Suyker, A., Verma, S.,

3599 Middleton, E.M. 2014b. Estimation of crop gross primary production (GPP): fAPAR(chl)

3600 versus MOD15A2 FPAR. *Remote Sensing of Environment*, 153, 1-6.

3601 Zhang, X.T., Liang, S.L., Zhou, G.Q., Wu, H.R., Zhao, X. 2014c. Generating Global LAnd

3602 Surface Satellite incident shortwave radiation and photosynthetically active radiation

3603 products from multiple satellite data. *Remote Sensing of Environment*, 152, 318-332.

3604 Zhang, X.Y., Kondragunta, S. 2006. Estimating forest biomass in the USA using generalized

3605 allometric models and MODIS land products. *Geophysical Research Letters*, 33,

3606 L09402,doi:10.1029/2006GL025879.

3607 Zhang, X.Y., Liu, L.L., Liu, Y., Jayavelu, S., Wang, J.M., Moon, M., Henebry, G.M., Friedl,

3608 M.A., Schaaf, C.B. 2018a. Generation and evaluation of the VIIRS land surface

3609 phenology product. *Remote Sensing of Environment*, 216, 212-229.

3610 Zhang, Y., Xiao, X.M., Zhang, Y.G., Wolf, S., Zhou, S., Joiner, J., Guanter, L., Verma, M., Sun,

3611 Y., Yang, X., Paul-Limoges, E., Gough, C.M., Wohlfahrt, G., Gioli, B., van der Tol, C.,

3612 Nouvellon, Y., Lund, M., de Grandcourt, A. 2018b. On the relationship between sub-

3613 daily instantaneous and daily total gross primary production: Implications for interpreting

3614 satellite-based SIF retrievals. *Remote Sensing of Environment*, 205, 276-289.

3615 Zhang, Y.G., Guanter, L., Berry, J.A., Joiner, J., van der Tol, C., Huete, A., Gitelson, A., Voigt,

3616 M., Kohler, P. 2014d. Estimation of vegetation photosynthetic capacity from space-based

3617 measurements of chlorophyll fluorescence for terrestrial biosphere models. *Global*

3618 *Change Biology*, 20, 3727-3742.

3619 Zhang, Y.G., Guanter, L., Berry, J.A., van der Tol, C., Yang, X., Tang, J.W., Zhang, F.M. 2016.

3620 Model-based analysis of the relationship between sun-induced chlorophyll fluorescence

3621 and gross primary production for remote sensing applications. *Remote Sensing of*

3622 *Environment*, 187, 145-155.

3623 Zhang, Z.Y., Ni, W.J., Sun, G.Q., Huang, W.L., Ranson, K.J., Cook, B.D., Guo, Z.F. 2017.

3624 Biomass retrieval from L-band polarimetric UAVSAR backscatter and PRISM stereo

3625 imagery. *Remote Sensing of Environment*, 194, 331-346.

3626 Zhao, F., Huang, C.Q., Goward, S.N., Schleeweis, K., Rishmawi, K., Lindsey, M.A., Denning,

3627 E., Keddell, L., Cohen, W.B., Yang, Z.Q., Dungan, J.L., Michaelis, A. 2018a.

3628 Development of Landsat-based annual US forest disturbance history maps (1986-2010) in

3629 support of the North American Carbon Program (NACP). *Remote Sensing of*

3630 *Environment*, 209, 312-326.

3631 Zhao, K.G., Popescu, S., Nelson, R. 2009. Lidar remote sensing of forest biomass: A scale-

3632 invariant estimation approach using airborne lasers. *Remote Sensing of Environment*, 113,

3633 182-196.
3634 Zhao, K.G., Suarez, J.C., Garcia, M., Hu, T.X., Wang, C., Londo, A. 2018b. Utility of multitemporal lidar for forest and carbon monitoring: Tree growth, biomass dynamics, and carbon flux. *Remote Sensing of Environment*, 204, 883-897.

3635
3636
3637 Zhao, M., Running, S.W., Nemani, R.R. 2006. Sensitivity of Moderate Resolution Imaging Spectroradiometer (MODIS) terrestrial primary production to the accuracy of meteorological reanalyses. *Journal of Geophysical Research-Biogeosciences*, 111

3640 Zhao, M.S., Heinsch, F.A., Nemani, R.R., Running, S.W. 2005. Improvements of the MODIS terrestrial gross and net primary production global data set. *Remote Sensing of Environment*, 95, 164-176.

3643 Zheng, D.L., Rademacher, J., Chen, J.Q., Crow, T., Bresee, M., le Moine, J., Ryu, S.R. 2004. Estimating aboveground biomass using Landsat 7 ETM+ data across a managed landscape in northern Wisconsin, USA. *Remote Sensing of Environment*, 93, 402-411.

3646 Zheng, Y., Zhang, L., Xiao, J., Yuan, W., Yan, M., Li, T., Zhang, Z. 2018. Sources of uncertainty in gross primary productivity simulated by light use efficiency models: Model structure, parameters, input data, and spatial resolution. *Agricultural and Forest Meteorology*, 263, 242-257.

3650 Zhou, L.M., Tucker, C.J., Kaufmann, R.K., Slayback, D., Shabanov, N.V., Myneni, R.B. 2001. Variations in northern vegetation activity inferred from satellite data of vegetation index during 1981 to 1999. *Journal of Geophysical Research-Atmospheres*, 106, 20069-20083.

3653 Zhou, Y.L., Wu, X.C., Ju, W.M., Chen, J.M., Wang, S.Q., Wang, H.M., Yuan, W.P., Black, T.A., Jassal, R., Ibrom, A., Han, S.J., Yan, J.H., Margolis, H., Roupsard, O., Li, Y.N., Zhao, F.H., Kiely, G., Starr, G., Pavelka, M., Montagnani, L., Wohlfahrt, G., D'Odorico, P., Cook, D., Arain, M.A., Bonal, D., Beringer, J., Blanken, P.D., Loubet, B., Leclerc, M.Y., Matteucci, G., Nagy, Z., Olejnik, J., U, K.T.P., Varlagin, A. 2016. Global parameterization and validation of a two-leaf light use efficiency model for predicting gross primary production across FLUXNET sites. *Journal of Geophysical Research-Biogeosciences*, 121, 1045-1072.

3661 Zhu, Z.C., Bi, J., Pan, Y.Z., Ganguly, S., Anav, A., Xu, L., Samanta, A., Piao, S.L., Nemani, R.R., Myneni, R.B. 2013. Global data sets of vegetation leaf area index (LAI)3g and fraction of photosynthetically active radiation (FPAR)3g derived from Global Inventory Modeling and Mapping Studies (GIMMS) normalized difference vegetation index (NDVI3g) for the period 1981 to 2011. *Remote Sensing*, 5, 927-948.

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3667
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