%0 Journal Article
%T Study on Remote Sensing Classification Method of Classifing High, Medium and Low Yield Croplands and Their Forming Factors in the Loess Plateau --Taking Dingxiang County of Shanxi Province as an Example<br>黄土地区高中低产农田成因及遥感分类方法研究——以山西省定襄县为例
%A QIAO Yu-liang
%A <br>乔玉良
%J 遥感学报
%D 2002
%I 
%X 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. The paper selects some themes that directly affect the yeild of cropland. Based on the comprehensive thematic information, a large region is divided into several small regions and the cropland from some different region in the remote sensing TM image are classified. The development of the method of divisional compound hierarchical classification has improved the accuracy of remote sensing classification greatly.
%K RS
%K cropland
%K divisional compound hierarchical classification
%K GIS<br>遥感
%K GIS
%K 农田
%K 复合分层分类
%K 黄土地区
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=E62459D214FD64A3C8082E4ED1ABABED5711027BBBDDD35B&cid=A41A70F4AB56AB1B&jid=F926358B31AC94511E4382C083F7683C&aid=5896A6CC23610527&yid=C3ACC247184A22C1&vid=B31275AF3241DB2D&iid=CA4FD0336C81A37A&sid=09ABD5535D9B6D45&eid=67969BA850333433&journal_id=1007-4619&journal_name=遥感学报&referenced_num=7&reference_num=2