A Study of Automatical Information Extraction Method of Water-erosion Desertification
GE Jia1, ZHANG Zi-ming2, WU Cheng3, ZHAN Qian3, SUN Yong-jun4
1. China University of Geosciences, Wuhan 430074, China;
2. Northwest Bureau of China Metallurgical Geology Bureau, Xi’an 710119, China;
3. China University of Geosciences, Beijing 100083, China;
4. China Areo Geophysical Survey and Remote Sensing for Land and Resources, Beijing 100083, China
Abstract：In this paper, part of the loess plateau was chosen as the study area. A set of automatic information extraction methods for water-erosion desertification was proposed by using the ETM+ images obtained in this area and on the basis of remote sensing data and geographic information system. NDVI (normalized difference vegetation index), KT3 (KT transform,humidity), slope, DEM (elevation) and typical feature spectral data were used to establish the characteristic bands of the study area, and then a decision tree classification rule could be constructed, which could exclude the non-water erosion desertificatin information effectively in the study area. The object-oriented muti-scale segmentation technology was adopted, and the slope, gully density and vegetation coverage were taken as the characteristic bands of the water-erosion desertification classification. With the building of the multi-characters space, the weight value was determined by the analytic hierarchy process, which also served as the classification index of the water-erosion desertification. The consistency of the evaluation between the automatic extraction results and the visual interpretation results shows a good linear relationship, with the overall consistency reaching 82.8%.
葛佳, 张子鸣, 吴成, 詹骞, 孙永军. 水蚀荒漠化信息自动提取方法研究[J]. 国土资源遥感, 2012, 24(4): 88-94.
GE Jia, ZHANG Zi-ming, WU Cheng, ZHAN Qian, SUN Yong-jun. A Study of Automatical Information Extraction Method of Water-erosion Desertification. REMOTE SENSING FOR LAND & RESOURCES, 2012, 24(4): 88-94.
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2012, Vol. 24 
