基于DEM的喀斯特流域地貌类型的识别

RECOGNITION BASED ON DEM OF GEOMORPHOLOGIC TYPE OF KARST DRAINAGE

根据贵州省ASTER影像,利用RS和GIS技术提取DEM数据;以DEM数据、TM影像和CBERS影像为基础,选取29个喀斯特流域,分析影响地貌类型发育的5个因素,并提取24个指标;借助Spss和Matlab软件进行数据处理和多元回归分析,提出不同喀斯特流域地貌类型识别的数学模型,并通过方差分析和样区检验,得出很好的识别效果。

Twenty nine karst drainages are chosen for analysis of the five factors which affect the growth of geomorphologic type, and the choice is based on the TM image, CBERS image and DEM data which are extracted by use of RS and GIS techniques and from the ASTER image of Guizhou Province. This research procedure includes the extraction of 24 indices, data processing and multivariate regression analysis by means of softwares SPSS and MAT- LAB and proposing the mathmatical models for recognition of different geomorphologic type of karst drainage and then the very good recognational effect can be obtained through varience analysis and sample zone checking.