4.7 Article

Use of Multiplatform SAR Imagery in Mining Deformation Monitoring with Dense Vegetation Coverage: A Case Study in the Fengfeng Mining Area, China

期刊

REMOTE SENSING
卷 13, 期 16, 页码 -

出版社

MDPI
DOI: 10.3390/rs13163091

关键词

Fengfeng mine; mining deformation monitoring; MSBAS; multiplatform SAR data; dense vegetation

资金

  1. National Key Research and Development Program of China [2018YFB2101005]
  2. Guangdong Basic and Applied Basic Research Foundation [2021A1515011427]
  3. Research Grants Council (RGC) of Hong Kong [PolyU 152232/17E, PolyU 152164/18E, PolyU 15223319/19E]
  4. Research Institute for Sustainable Urban Development (RISUD) [1-BBWB]
  5. National Natural Science Foundation of China [41974006]
  6. Shenzhen Scientific Research and Development Funding Program [JCYJ20200807110745001, KQJSCX20180328093 453763, JCYJ20180305125101282]
  7. Research Program from the Department of Education of Guangdong Province [2018KTSCX196]
  8. National Administration of Surveying, Mapping and Geoinformation of China [201412016]

向作者/读者索取更多资源

Ground deformation related to mining activities can lead to disasters such as ground fissures, collapses, and earthquakes. This study utilizes multiple-platform SAR images to monitor mining deformation over dense vegetation areas, revealing significant subsidence in the Fengfeng mining area. Results show that the root-mean-square error between InSAR and leveling measurements is 83.5 mm/year at two mining sites.
Ground deformation related to mining activities may occur immediately or many years later, leading to a series of mine geological disasters, such as ground fissures, collapses, and even mining earthquakes. Deformation monitoring has been carried out with techniques, such as multitemporal interferometric synthetic aperture radar (MTInSAR). Over the past decade, MTInSAR has been widely used in monitoring mining deformation, and it is still difficult to retrieve mining deformation over dense vegetation areas. In this study, we use multiple-platform SAR images to retrieve mining deformation over dense vegetation areas. The high-quality interferograms are selected by the coherence map, and the mining deformation is retrieved by the MSBAS-InSAR technique. SAR images from TerraSAR-X, Sentinel-1A, Radarsat-2, and PALSAR-2 over the Fengfeng mining area, Heibei, China, are used to retrieve the deformation of mining activities covered with dense vegetation. The results show that the subsidence in the Fengfeng mining area reaches up to 90 cm over the period from July 2015 to April 2016. The root-mean-square error (RMSE) between the results from InSAR and leveling is 83.5 mm/yr at two mining sites, i.e., Wannian and Jiulong Mines.

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