Study on classification method of high medium and low yield croplands of Chinese loess region using remote sensing

摘要

In loess plateau of China, the yield varies from cropland to cropland. It is very important for the agriculture of China that monitoring the changes of cropland in different years with RS information. This is an introduction to the method of classifying high medium and low yield croplands by remote sensing and GIS, which is the result of a key project of The Scientific and Industry Technology Committee of National Defense. In the study, special information related to high medium and low yield cropland was compounded with TM data. The development of the method of compound hierarchy classification improved accuracy of remote sensing classification greatly.