Winter wheat biomass estimation using high temporal and spatial resolution satellite data combined with a light use efficiency model

References

• Allen RG, Pereira LS, Raes D, Smith M. 1998. Crop evapotranspiration-Guidelines for computing crop water requirements-FAO Irrigation and drainage paper56. Rome: FAO.
   Google Scholar
• Asseng S, Ewert F, Rosenzweig C, Jones JW, Hatfield JL, Ruane AC, Boote KJ, Thorburn PJ, Rötter RP, Cammarano D, et al. 2013. Uncertainty in simulating wheat yields under climate change. Nat Clim Change. 3:827–832.10.1038/nclimate1916
   Web of Science ®Google Scholar
• Bastiaanssen WGM, Ali S. 2003. A new crop yield forecasting model based on satellite measurements applied across the Indus Basin, Pakistan. Agric Ecosyst Environ. 94:321–340.10.1016/S0167-8809(02)00034-8
   Web of Science ®Google Scholar
• Cao M, Prince S, Small J, Goetz SJ. 2004. Remotely sensed interannual variations and trends in terrestrial net primary productivity 1981–2000. Ecosystems. 7:233–242.
   Web of Science ®Google Scholar
• Faivre R, Leenhardt D, Voltz M, Benoît M, Papy F, Dedieu G, Wallach D. 2004. Spatialising crop models. Agronomie. 24:205–217.10.1051/agro:2004016
   Google Scholar
• Feng X, Liu G, Chen JM, Chen M, Liu J, Ju WM, Sun R, Zhou W. 2007. Net primary productivity of China’s terrestrial ecosystems from a process model driven by remote sensing. J Environ Manage. 85:563–573.10.1016/j.jenvman.2006.09.021
   PubMed Web of Science ®Google Scholar
• Field CB, Randerson JT, Malmström CM. 1995. Global net primary production: combining ecology and remote sensing. Remote Sens Environ. 51:74–88.10.1016/0034-4257(94)00066-V
   Web of Science ®Google Scholar
• Gao F, Masek J, Schwaller M, Hall F. 2006. On the blending of the landsat and MODIS surface reflectance: predicting daily landsat surface reflectance. IEEE Trans Geosci Remote Sens. 44:2207–2218.
   Web of Science ®Google Scholar
• Groten SME. 1993. NDVI – crop monitoring and early yield assessment of Burkina Faso. Int J Remote Sens. 14:1495–1515.10.1080/01431169308953983
   Web of Science ®Google Scholar
• Hilker T, Wulder MA, Coops NC, Seitz N, White JC, Gao F, Masek JG, Stenhouse G. 2009. Generation of dense time series synthetic landsat data through data blending with MODIS using a spatial and temporal adaptive reflectance fusion model. Remote Sens Environ. 113:1988–1999.10.1016/j.rse.2009.05.011
   Web of Science ®Google Scholar
• Liang S, Zheng T, Liu R, Fang H, Tsay S, Running S. 2006. Estimation of incident photosynthetically active radiation from moderate resolution imaging spectrometer data. J Geophys Res. 111:D15208. doi:10.1029/2005JD006730.10.1029/2005JD006730
   Web of Science ®Google Scholar
• Liu R, Liang S, He H, Liu J, Zheng T. 2008. Mapping incident photosynthetically active radiation from MODIS data over China. Remote Sens Environ. 112:998–1009.
   Web of Science ®Google Scholar
• Liu J, Pattey E, Miller JR, McNairn H, Smith A, Hu B. 2010. Estimating crop stresses, aboveground dry biomass and yield of corn using multi-temporal optical data combined with a radiation use efficiency model. Remote Sens Environ. 114:1167–1177.
   Web of Science ®Google Scholar
• Lobell DB, Hicke JA, Asner GP, Field CB, Tucker CJ, Los SO. 2002. Satellite estimates of productivity and light use efficiency in United States agriculture, 1982–98. Glob Change Biol. 8:722–735.10.1046/j.1365-2486.2002.00503.x
   Web of Science ®Google Scholar
• Ma Y, Wang S, Zhang L, Hou Y, Zhuang L, He Y, Wang F. 2008. Monitoring winter wheat growth in North China by combining a crop model and remote sensing data. Int J Appl Earth Obs Geoinf. 10:426–437.
   Web of Science ®Google Scholar
• Mirschel W, Wieland R, Wenkel KO, Nendel C, Guddat C. 2014. YIELDSTAT – a spatial yield model for agricultural crops. Eur J Agron. 52:33–46.10.1016/j.eja.2013.09.015
   Web of Science ®Google Scholar
• Monteith JL. 1972. Solar radiation and production in tropical ecosystems. J Appl Ecol. 9:747–766.10.2307/2401901
   Web of Science ®Google Scholar
• Monteith JL. 1977. Climate and efficiency of crop production in Britain. Philos Trans R Soc London, Ser B. 281:277–294.10.1098/rstb.1977.0140
   Web of Science ®Google Scholar
• Moriondo M, Maselli F, Bindi M. 2007. A simple model of regional wheat yield based on NDVI data. Eur J Agron. 26:266–274.10.1016/j.eja.2006.10.007
   Web of Science ®Google Scholar
• Nendel C, Wieland R, Mirschel W, Specka X, Guddat C, Kersebaum KC. 2013. Simulating regional winter wheat yields using input data of different spatial resolution. Field Crop Res. 145:67–77.10.1016/j.fcr.2013.02.014
   Web of Science ®Google Scholar
• Nightingale JM, Coops NC, Waring RH, Hargrove WW. 2007. Comparison of MODIS gross primary production estimates for forests across the U.S.A. with those generated by a simple process model, 3-PGS. Remote Sens Environ. 109:500–509.10.1016/j.rse.2007.02.004
   Web of Science ®Google Scholar
• Potter CS, Randerson JT, Field CB, Matson PA, Vitousek PM, Mooney HA, Klooster SA. 1993. Terrestrial ecosystem production: a process model based on global satellite and surface data. Global Biogeochem Cycles. 7:811–841.10.1029/93GB02725
   Web of Science ®Google Scholar
• Sellers PJ, Randall DA, Collatz GJ, Berry JA, Field CB, Dazlich DA, Zhang C, Collelo GD, Bounoua L. 1996. A revised land surface parameterization (SiB2) for atmospheric GCMs. Part 1. Model formulation. J Climate. 9:676–705.10.1175/1520-0442(1996)009<0676:ARLSPF>2.0.CO;2
   Web of Science ®Google Scholar
• Sharma T, Sudha KS, Ravi N, Navalgund RR. 1993. Procedures for wheat yield prediction using Landsat MSS and IRS-1A data. Int J Remote Sens. 14:2509–2518.10.1080/01431169308904289
   Web of Science ®Google Scholar
• Tao F, Yokozawa M, Hayashi Y, Lin E. 2003. Changes in agricultural water demands and soil moisture in China over the last half-century and their effects on agricultural production. Agric Forest Meteorol. 118:251–261.10.1016/S0168-1923(03)00107-2
   Web of Science ®Google Scholar
• Thornton PE, Running SW, White MA. 1997. Generating surfaces of daily meteorological variables over large regions of complex terrain. J Hydrol. 190:214–251.10.1016/S0022-1694(96)03128-9
   Web of Science ®Google Scholar
• Vermote EF, Tanre D, Deuze JL, Herman M, Morcette JJ. 1997. Second simulation of the satellite signal in the solar spectrum, 6S: an overview. IEEE Trans Geosci Remote Sens. 35:675–686.10.1109/36.581987
   Web of Science ®Google Scholar
• Wang Q, Watanabe M, Ouyang Z. 2005. Simulation of water and carbon fluxes using BIOME-BGC model over crops in China. Agric Forest Meteorol. 131:209–224.10.1016/j.agrformet.2005.06.002
   Web of Science ®Google Scholar
• Xiong J, Wu B, Yan N, Zeng Y. 2010. Estimation and validation of land surface evaporation using remote sensing in North China. IEEE J Sel Top Appl Earth Obs Remote Sens. 3:337–344.10.1109/JSTARS.2010.2040806
   Web of Science ®Google Scholar