REGIONALIZATION FOR LARGE AREA CROP ESTIMATES BY REMOTE SENSING ——A Case Study of Chinese Wheat

Key words: 
• wheat yield estimates /
• remote sensing /
• crop estimates /
• regionalization

Abstract: The crop estimates by remote sensing, developing quickly in recent decades, is a up to date technique. Regionalization for large area crop estimates by remote sensing, a special applied regionalization, is the foundation of crop estimates in a large area by remote sensing. According to the actual demands of wheat yield estimation by remote sensing and wheat agroclimatic demarcation of China, this paper first puts forward some principles upheld in this regionalization and analyses its main bases. Secondly, it works out the classificatory schemes about the optimum temporal for estimating wheat yield by remote sensing, information sources of space remote sensing and landuse structure in China. Finally, According to the regionalization indices, this study divides the wheat plantable region of China into 14 regions of crop yield estimates and 31 subregions of crop yield estimates.