CROP YIELD FORECAST BASED ON MODIS TEMPERATURE-VEGETATION ANGEL INDEX

LIN Wen-Peng; HUANG Jing-Feng; HU Xiao-Meng; ZHAO Min

[1] Yang B J, Pei Z Y, Zhou Q B, et al. Key technologies of crop monitoring using remote sensing at a national scale: progress and problems[J]. Transactions of the Chinese Society of Agricultural Engineering.2002,18(3):191—194.

[2] Lin W P, Wang C Y, Yuan J G, et al. Study on extracting crop area planted based on genetic algorithm with neural network using MODIS Data[J]. Proc. of SPIE,2006,6419:64190J.

[4] Rassmussen M S. Developing simple,operational,consistent NDVI-vegetation models by applying environment and climatic information. Part 2:Crop yield assessment[J].International Journal of Remote Sensing,1998,19(1):119—139.

[7] Moran M S, Clarke T R, Inoue Y, et al. Estimating crop water deficitusing the relation between surface-air temperature and spectral vegetation index[J]. 3Remote Sensing. Environment.1994,49(3):246—63.

[8] Boegh E, Soegaard H, Hanan N, et al. A remote sensingstudy of the NDVI-Ts relationship and the transpiration from sparse vegetation in the Sahel based on high-resolution satellite data[J]. Remote Sensing. Environment,1998,69(3):224—240.

[9] Lambin E F, Ehrlich D. The surface temperature-vegetation index space for land cover and land-cover change analysis[J]. International Journal of Remote Sensing,17(3):463—487.

[10] Lambin E F, Ehrlich D. Broad scale land-cover classification and interannual climatic variability[J]. International Journal of Remote Sensing,1996, 17(5):845—862.

[11] Huete A, Justice C, Liu H. Development of vegetation and soil indices for MODIS[J]. Remote Sensing of Environment,1994,49(3):224—234.

[12] Huete A, Didan K, Miura T, et al. Overview of the radiometric and biophysical performance of the MODIS vegetation indices[J]. Remote Sens. Environ.,2002,83(1-2):195—213.