Progress of Remote Sensing Geological Prospecting Domestic and Abroad in Recent Years

LI Zhizhong; CHEN Shengbo; LIU Dechang; LIU Kunpeng; LIU Lei; WANG Meng; LI Zhuqiang; FU Lei; ZHOU Zhi

doi:10.12401/j.nwg.2025069

2025 Vol. 58, No. 3

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Article navigation > Northwestern Geology > 2025 > 58(3): 183-195

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LI Zhizhong, CHEN Shengbo, LIU Dechang, LIU Kunpeng, LIU Lei, WANG Meng, LI Zhuqiang, FU Lei, ZHOU Zhi. 2025. Progress of Remote Sensing Geological Prospecting Domestic and Abroad in Recent Years. Northwestern Geology, 58(3): 183-195. doi: 10.12401/j.nwg.2025069

Citation:

LI Zhizhong, CHEN Shengbo, LIU Dechang, LIU Kunpeng, LIU Lei, WANG Meng, LI Zhuqiang, FU Lei, ZHOU Zhi. 2025. Progress of Remote Sensing Geological Prospecting Domestic and Abroad in Recent Years. Northwestern Geology, 58(3): 183-195. doi: 10.12401/j.nwg.2025069

Progress of Remote Sensing Geological Prospecting Domestic and Abroad in Recent Years

1.
China-SCO Geoscience Research Center, Satellite Remote Sensing Application Center, Xi'an 710054, Shaanxi，China
2.
Jilin University, Changchun 130026, Jilin,China
3.
Beijing Research Institute of Uranium Geology, Beijing 100029, China
4.
Tiangong University, Tianjin 300387, China
5.
School of Earth Science and Resources, Chang'an University, Xi'an 710054, Shaanxi，China
6.
Institute of Mineral Resources Research, China Metallurgical Geology Bureau, Beijing 100025, China
7.
Guangzhou University, Guangzhou 510006, Guangdong, China

More Information

Corresponding author: LIU Lei, liul@chd.edu.cn

Received Date: 27 March 2025

Revised Date: 06 May 2025

Accepted Date: 07 May 2025

Publish Date: 20 June 2025

Abstract

Abstract

In recent years, with the rapid development of satellite, aerial and ground remote sensing data sources and processing technology, significant progress has been made in the technical methods and applications of remote sensing geological prospecting at home and abroad. In this paper, major satellite remote sensing data, aerial hyperspectral remote sensing data and ground data are systematically reviewed. Among them, multi-spectral images such as Landsat-8, ASTER and Sentinel-2 are the most widely used, and hyperspectral remote sensing data of domestic satellites such as GF-5 and ZY1-02D have covered most of the world's land area. It can meet the demand of global mineral resources exploration data and show great application potential and social and economic benefits. UAV hyperspectral sensors such as Headwall, HySpex and SSMAP have great potential in lithology and mineral identification at mining area scale. Remote sensing technology has achieved good application results in lithology classification, mineralization alteration information extraction, structure extraction and remote sensing prospecting model. With the development of artificial intelligence technology, it will play a greater role in remote sensing geological prospecting. At present, remote sensing geological prospecting still faces problems such as weak ore information extraction and scale difference of remote sensing data in complex landscape areas such as vegetated areas. In the future, further exploration is needed in multi-source remote sensing data fusion technology, broader application expansion and artificial intelligence prospecting application.
- hyperspectral remote sensing /
- mineral exploration /
- lithology classification /
- alteration information /
- Artificial intelligence

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References

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