基于RS的荒漠化地区土地利用变化信息的提取  

作　　者：贾树海[1] 吕默楠[1] 韩志根[1] 

机构地区：[1]沈阳农业大学研究生部,辽宁沈阳110866

出　　处：《现代物业（新建设）》2010年第5期15-17,54,共4页Modern Property Management

摘　　要：荒漠化较为严重的彰武县是辽宁省北部风蚀荒漠化典型区，该地区已经采取过很多荒漠化治理措施，为此，该地区的土地利用方式发生多次变化。而这些变化的具体情况还需要深入了解，所以需要对近些年的土地利用变化信息进行调查，在外业调查之前，需要通过遥感对该地区的变化信息进行提取，为外业调查做准备。本文基于遥感，运用主成分差异法对该地区的土地利用变化信息进行提取，经过精度验证，满足外业调查的精度，能够在一定程度上提示并检验外业实地土地利用调查工作的进行情况。Zhang Wu Xian where desertification is seriously is the wind erosion and desertification typical area in north of Liao Ning provinces. The area has took a lot of measures to control desertification, therefore, the land use of this area changes many times. But the details of these changes have to know about specifically. So the detail change information of the land use need to be investigated. And before the field investigation, the change information of this area need to be extracted through remote sensing to prepare for the field investigation. This paper choose The Principal Component Analysis （PCA）, extract the change information of this area based on the remote sensing, After accuracy verification, this result meet the accuracy of field survey precision. So it can hints and inspect the field inspection on land use investigation in a certain extent.

关 键 词：荒漠化典型区 遥感 主成分差异法 变化信息提取 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置]