Time series dynamic changing analysis on the mine geological environment in a natural reserve in Tibet based on the satellite remote sensing technology

Hao Wang; Fan Bu; Jing Wen; Jinzhong Yang; Weiling Yao; Qiong Liu

doi:10.1117/12.2667528

10 February 2023 Time series dynamic changing analysis on the mine geological environment in a natural reserve in Tibet based on the satellite remote sensing technology

Hao Wang, Fan Bu, Jing Wen, Jinzhong Yang, Weiling Yao, Qiong Liu

Author Affiliations +

Proceedings Volume 12552, International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022); 125520T (2023) https://doi.org/10.1117/12.2667528
Event: International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022), 2022, Kunming, China

Abstract

By combining the offsite interpretation and field verification and the remote sensing data in a natural reserve in Tibet in 2012, 2014, 2016, 2018 and 2020, this article investigates the situation of mine compaction damage and its restoration. Also, using the result of 2012 data as a benchmark, it is focused on analysing the dynamic changes over the following four survey years in terms of compaction damage and restoration, under mining and abandonment mines, and the types of minerals involved. Then, the chart of incremental changing trends is generated. This study reflects the real-time information storage function of satellite remote sensing monitoring technology and its efficiency and advantages in wide-area ecological and geological environment surveys. The results of this study have provided data and technical support for the future management of the mine geological environment in natural reserves in western provinces in China.

Citation Download Citation

Hao Wang, Fan Bu, Jing Wen, Jinzhong Yang, Weiling Yao, and Qiong Liu "Time series dynamic changing analysis on the mine geological environment in a natural reserve in Tibet based on the satellite remote sensing technology", Proc. SPIE 12552, International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022), 125520T (10 February 2023); https://doi.org/10.1117/12.2667528

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