Study on Methods of Rice Planting Area Estimation at Regional Scale Using NOAA/AVHRR Data
应用NOAA/AVHRR数据测算局地水稻种植面积方法研究

Fuzzy supervised classification-iteration method was used in evaluating the rice planting area on a mixed pixel signal unmaxing basis. Channels 3 and 4 of AVHRR were used in this study according to the fact that the temperature of rice fields different from that of rainfalled-crop fields and based on the analysis of statistical characteristic. The additional channels in middle infrared and thermal infrared allowed rice to be identified easier than using the visible and near-infrared channels alone, and added the dimensional number of the pixel value vector in the characteristic. The iterative process is effective and convergen. The pixel proportion images of rice planting area produced in this study have a good consistence with the ground truth Compared with rice area abtained form TM image and field survey, this method has a high accuracy.