Abstract
The paddy rice is humanity's important crop. Jianghan plain is the important paddy rice planting area in China. However, comparing with others, the study of paddy rice remote sensing is less in there. This study takes the MODIS data from 2001 to 2007 as the main data resources, combines with the land use data, depends on the kind of paddy rice growing periods, and extracts the paddy rice planting area. According to the test, the accuracy surpasses 85%. It attained each various time average NDVI, EVI value by the each year various times paddy rice NDVI, EVI. Then this study takes the grey system theory as a new method, and introduces it to the paddy rice remote sensing monitoring. Taking the paddy rice yield per unit area as the referenced sequence and the each year various times paddy rice NDVI, EVI as the comparative sequence, calculating the gray correction degree, finally the study selects the best time to remote sensing monitoring for the paddy rice yield, and makes the yield estimation model.
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