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2022 Vol. 31, No. 5
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ZHOU Chuan-fang, CHEN Zhuo, SUN Yan-feng, LIANG Zhong-kai, YANG Chang-bao, JIANG Ping, FENG Jia, DU Hai-shuang. REMOTE SENSING APPLIED IN GEOLOGICAL AND MINERAL SURVEY IN FOREST-COVERED AREA OF DAXINGANLING MOUNTAINS: A Case Study of : 50 000 Regional Geological and Mineral Survey in Luoguhe, Heilongjiang Province[J]. Geology and Resources, 2022, 31(5): 632-641. doi: 10.13686/j.cnki.dzyzy.2022.05.007
Citation: ZHOU Chuan-fang, CHEN Zhuo, SUN Yan-feng, LIANG Zhong-kai, YANG Chang-bao, JIANG Ping, FENG Jia, DU Hai-shuang. REMOTE SENSING APPLIED IN GEOLOGICAL AND MINERAL SURVEY IN FOREST-COVERED AREA OF DAXINGANLING MOUNTAINS: A Case Study of : 50 000 Regional Geological and Mineral Survey in Luoguhe, Heilongjiang Province[J]. Geology and Resources, 2022, 31(5): 632-641. doi: 10.13686/j.cnki.dzyzy.2022.05.007
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REMOTE SENSING APPLIED IN GEOLOGICAL AND MINERAL SURVEY IN FOREST-COVERED AREA OF DAXINGANLING MOUNTAINS: A Case Study of : 50 000 Regional Geological and Mineral Survey in Luoguhe, Heilongjiang Province

  • 1.

    Harbin Center of Comprehensive Natural Resources Survey, CGS, Harbin 150086, China

  • 2.

    China University of Geosciences, Beijing 100083, China

  • 3.

    Jilin University, Changchun 130026, China

Received Date:  21 July 2021
Revised Date:  19 October 2021
Publish Date:  25 October 2022
    Abstract

  • Due to the heavy forest cover, harsh climate, inconvenient transportation and short effective time for field work in Daxinganling Mountains, remote sensing technology is urgently needed to improve the quality and efficiency of regional geological and mineral survey. In the 1 : 50 000 regional geological and mineral survey of Luoguhe in Heilongjiang Province, multiple remote sensing data including SPOT7, Landsat7/8 and ASTER are used for geological and mineral interpretation, remote sensing image zoning, establishment of interpretation markers for strata, structures and intrusive rocks, and extraction of hydroxyl and iron-stained alteration anomalies, and the favorable mineralization areas are divided combined with the stream sediment survey results, which both effectively reduces the geological survey intensity and improves the survey efficiency and quality. The study indicates that remote sensing technology can achieve good results in geological mineral survey in the dense vegetation coverage areas of Daxinganling Mountains.

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