Evaluating the Feasibility of Illegal Open-Pit Mining Identification Using Insar Coherence

• Published in: Remote sensing (Basel, Switzerland) Vol. 12; no. 3; p. 367
• Main Authors: Wang, Shunyao, Lu, Xiaoping, Chen, Zhenwei, Zhang, Guo, Ma, Taofeng, Jia, Peng, Li, Beibei
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.02.2020
• Subjects: Bands; Coal; coherence; Coherence coefficient; decorrelation; Excavation; Feasibility studies; Field study; Identification; illegal mining; insar; Interferometric synthetic aperture radar; Mines; Mining; Open pit mining; Remote monitoring; Remote sensing; Satellite imagery; Sustainable development; Topography; Unmanned aerial vehicles; Vegetation; Weather; China
• ISSN: 2072-4292; 2072-4292
• DOI: 10.3390/rs12030367

Illegal open-pit mining causes environmental harm and undermines sustainable development. Conventional monitoring approaches such as field research and unmanned aerial vehicle (UAV) imagery are time-consuming and labor-intensive, making large-scale monitoring difficult. In comparison, optical remote sensing imagery can cover large areas but is vulnerable to adverse weather conditions and is not sensitive to vertical ground changes. As open-pit excavation causes sudden changes in the scattering properties of ground objects along with dramatic vertical deformation, we evaluated the feasibility of using interferometric synthetic aperture radar (InSAR) coherence to identify illegal mining activities. Our method extracts the coherence coefficient from two SAR images taken on different dates, applies thresholding and filtering to extract a decorrelation map, and then overlays this with legal mining boundaries and optical satellite images to identify illegal mining activities. For three test cases in southwestern Inner Mongolia, China, 49 legal mining sites were correctly detected (with an accuracy of 90.74%) as well as six illegal mining sites. Ground truthing confirmed the presence of ongoing activity at one of these sites. Our study shows that InSAR coherence is suitable for the identification of mining activities, and our method provides a new approach for the detection and monitoring of illegal open-pit mining.