Study on the Landuse Classification Using DGM Data in Loess Hill Area
黄土丘陵区数字地貌模型与遥感影象分类

With the complicated terrain and low vegetation cover in loess plateau of North China, it is very difficult to get higher accuracy of digital image classification, only depending on the traditional spectral statistical classification method. The spatial resolution of Thematic Mapper(30m /pixel) also limit the accuracy and scale of interpreting landuse maps. In order to improve the accuracy of landuse classification in loess hilly area, a large scale relief map was used to create the digital geomorphic model (DGM). By applying Fuzzy Mathematics theory, the DGM was used to correct the digital image classification result, so as to create the regional landuse model. The study shows that this classification improves the accuracy of landuse classification effectively, and combines the digital image classification with DTM entirely.