DEM在喀斯特山区多云背景下土地利用遥感影像解译中的应用

The application of DEM to remote sensing interpretation for land use assfication based on the multi-cloud in karst mountainous areas

土地利用分类是研究土地资源,进行土地评价和土地利用/土地覆盖变化等研究的基础。利用遥感(RS)技术可对土地资源进行分类调查。以沿河县为分析样区,沿河县是典型的喀斯特山区县,常年多云多雾,给土地利用遥感解译带来较大难度。研究中以地理信息系统(GIS)技术为工作平台,利用近年ASTER影像为基础数据,采用分层提取特征波段的方法,结合数字高程模型(DEM)数据对沿河县土地利用进行了遥感分类解译。分类结果表明,多云背景下的影像数据和DEM数据相结合的方法,可以更好、更快、更有效地提取土地信息,达到较好的分类精度。

Land use classification is a basic study on land resources,land evaluation, land use and land cover change. Remote sensing technique can classify and investigate for land resources. The research takes Yanhe county as an example area, Yanhe county is a typical karst mountain. Multi-clouds and multi-smoke occur all year round, so it is very difficult for remote sensing interpretation of land use. With ASTER image in recent year as data source and on the basis of fieldwork by the techniques of GIS,integrating digital elevation model data and the method of multi-layers for picking-up land info, the paper carries out a remote sensing interpretation for land use classficaton in Yanhe. The results show that integrating multi-cloud image and DEM data is better,faster, and more effective for land use interpretation. Its the best way for land use classficaton.