{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,6]],"date-time":"2025-11-06T20:15:39Z","timestamp":1762460139576,"version":"build-2065373602"},"reference-count":45,"publisher":"MDPI AG","issue":"16","license":[{"start":{"date-parts":[[2023,8,17]],"date-time":"2023-08-17T00:00:00Z","timestamp":1692230400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Geological Survey Projects of the China Geological Survey","award":["DD20211391","2021AAC03431"],"award-info":[{"award-number":["DD20211391","2021AAC03431"]}]},{"name":"Natural Science Foundation of Ningxia Hui Autonomous Region","award":["DD20211391","2021AAC03431"],"award-info":[{"award-number":["DD20211391","2021AAC03431"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Monitoring mine activities can help management track the status of mineral resource exploration and mine rehabilitation. It is crucial to the sustainable development of the mining industry and the protection of the geological environment in mining areas. To monitor the mining activities of shallow surface outcrops in the arid and semi-arid regions of northwest China, this paper proposes a remote sensing monitoring approach of mining activities based on deep learning and integrated interferometric synthetic aperture radar technique. This approach uses the DeepLabV3-ResNet model to identify and extract the spatial location of the mine patches and then uses object-oriented analysis and spatial analysis methods to optimize the mine patch boundaries. SBAS-InSAR technique is used to obtain the time-series deformation information of the mine patches and is combined with the multi-temporal optical imagery to analyze the mining activities in the study area. The proposed approach has a recognition accuracy of 95.80% for the identification and extraction of mine patches, with an F1-score of 0.727 at the pixel level, and the average area similarity for all patches is 0.78 at the object-oriented level. The proposed approach possesses the capability to analyze mining activities, indicating promising prospects for engineering applications. It provides a reference for monitoring mining activities using multisource satellite remote sensing.<\/jats:p>","DOI":"10.3390\/rs15164062","type":"journal-article","created":{"date-parts":[[2023,8,17]],"date-time":"2023-08-17T10:42:29Z","timestamp":1692268949000},"page":"4062","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["An Approach for Monitoring Shallow Surface Outcrop Mining Activities Based on Multisource Satellite Remote Sensing Data"],"prefix":"10.3390","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8412-0875","authenticated-orcid":false,"given":"Shiyao","family":"Li","sequence":"first","affiliation":[{"name":"School of Geophysics and Geomatics, China University of Geosciences, Wuhan 430074, China"},{"name":"Wuhan Center, China Geological Survey (Central South China Innovation Center for Geosciences), Wuhan 430205, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5570-6391","authenticated-orcid":false,"given":"Run","family":"Wang","sequence":"additional","affiliation":[{"name":"Geological Environmental Center of Hubei Province, Wuhan 430034, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7967-0933","authenticated-orcid":false,"given":"Lei","family":"Wang","sequence":"additional","affiliation":[{"name":"Wuhan Center, China Geological Survey (Central South China Innovation Center for Geosciences), Wuhan 430205, China"}]},{"given":"Shaoyu","family":"Liu","sequence":"additional","affiliation":[{"name":"Ningxia Survey and Monitor Institute of Land and Resources, Yinchuan 750002, China"}]},{"given":"Jiang","family":"Ye","sequence":"additional","affiliation":[{"name":"Geological Environmental Center of Hubei Province, Wuhan 430034, China"}]},{"given":"Hang","family":"Xu","sequence":"additional","affiliation":[{"name":"Geological Environmental Center of Hubei Province, Wuhan 430034, China"}]},{"given":"Ruiqing","family":"Niu","sequence":"additional","affiliation":[{"name":"School of Geophysics and Geomatics, China University of Geosciences, Wuhan 430074, China"}]}],"member":"1968","published-online":{"date-parts":[[2023,8,17]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"675","DOI":"10.1016\/j.oregeorev.2018.08.019","article-title":"Monitoring surface mining belts using multiple remote sensing datasets: A global perspective","volume":"101","author":"Yu","year":"2018","journal-title":"Ore Geol. 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