基于Landsat 8的辽宁弓长岭区遥感蚀变信息提取

doi:10.13278/j.cnki.jjuese.20180093

Abstract

Abstract: Based on a detailed interpretation of Landsat 8 remote sensing data of Gongchangling in Liaoning Province, combined with the theory of mineral spectrum and basic geological data in Gongchangling area (with serious vegetation cover), the alteration anomaly information in 2017-05 and 2017-08 was extracted by using the method of principal component and ratio analysis. The results show that the band combination formed by the method combination of principal component and ratio analyses is more obvious than the abnormal information extracted by principal component analysis alone. The information of hydroxyl alteration extracted from 2017-05 data and the iron dyeing alteration extracted from 2017-08 data are mainly distributed in the periphery of exposed orebodies in Gongchangling No. 1, No. 2, No. 3 and Dumu-Bapanling mining areas. It is also shown that the combination of principal component analysis and ratio method is effective in extracting alteration information in the areas with serious vegetation cover.

Key words: multispectral remote sensing, Landsat 8 data, principal component analysis (PCA), ratio method, Gongchangling iron mine, Gongchangling area

CLC Number:

P627

He Jinxin, Jiang Tian, Dong Yongsheng, Han Kaixu, Ma Ning, Xiong Yue. Alteration Information Extraction Based on Remote Sensing of Landsat 8 in Gongchangling Area of Liaoning[J].Journal of Jilin University(Earth Science Edition), 2019, 49(3): 893-901.

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Alteration Information Extraction Based on Remote Sensing of Landsat 8 in Gongchangling Area of Liaoning

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