Extraction of remote sensing alteration information of Kosrap area in northern basin-mountain coupling zone of Tibetan Plateau
XIA Qing1,2, YANG Wunian1, ZHAO Ni3
1. State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Institute of RS and GIS, Chengdu University of Technology, Chengdu 610059, China;
2. Southwest University of Science and Technology, Mianyang 621010, China;
3. Geophysical Institute of Chengdu University of Technology, Chengdu 610059, China
Located in the collision juncture zone between the West Kunlun compound oroganic belt on the northern margin of Tibetan Plateau and the southern margin of Tarim Basin,Kosrap area has favorable ore-forming geological conditions and thus has aroused much attention among geologists; nevertheless, owing to its poor natural conditions and poor accessibility,it is very difficult to obtain important geological and ore-prospecting information with tranditional geological investigation methods. Practice shows that the increasingly mature remote sensing technology can well make up for the shortage. With Kosrap as the study area and ETM+ image as the data source, various kinds of methods, such as ratio method,data masking,principal component analysis and density segmentation, could be utilized in an integrated way in the ENVI software environment to process the data and extract the near-ore wall rock alteration information in the study area. Then the extracted remote sensing alteration information could be analyzed by stacking the existing ore spot information and geochemical anomalies in the study area. The results show that these methods are effective in obtaining hydroxy alteration information in the study area, and the results can provide the basis for further large-scale geological prospecting work in the study area.
夏清, 杨武年, 赵妮. 青藏大陆北缘盆山耦合带库斯拉甫地区遥感蚀变信息提取[J]. 国土资源遥感, 2014, 26(1): 127-131.
XIA Qing, YANG Wunian, ZHAO Ni. Extraction of remote sensing alteration information of Kosrap area in northern basin-mountain coupling zone of Tibetan Plateau. REMOTE SENSING FOR LAND & RESOURCES, 2014, 26(1): 127-131.
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