干旱区生态环境知识资源中心(Arid): An Approach for Monitoring Shallow Surface Outcrop Mining Activities Based on Multisource Satellite Remote Sensing Data

Arid

DOI	10.3390/rs15164062
	An Approach for Monitoring Shallow Surface Outcrop Mining Activities Based on Multisource Satellite Remote Sensing Data
	Li, Shiyao; Wang, Run; Wang, Lei; Liu, Shaoyu; Ye, Jiang; Xu, Hang; Niu, Ruiqing
通讯作者	Wang, R
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2023
卷号	15 期号:16
英文摘要	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.
英文关键词	mining activities monitoring multisource remote sensing InSAR shallow surface outcrop DeepLabV3-ResNet object-oriented analysis
类型	Article
语种	英语
开放获取类型	gold, Green Published
收录类别	SCI-E
WOS记录号	WOS:001056771900001
WOS关键词	SYNTHETIC-APERTURE RADAR ; IMAGE SEGMENTATION ; MULTIRESOLUTION ; CLASSIFICATION ; PARAMETER ; SYSTEM
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/398310
推荐引用方式 GB/T 7714	Li, Shiyao,Wang, Run,Wang, Lei,et al. An Approach for Monitoring Shallow Surface Outcrop Mining Activities Based on Multisource Satellite Remote Sensing Data[J],2023,15(16).
APA	Li, Shiyao.,Wang, Run.,Wang, Lei.,Liu, Shaoyu.,Ye, Jiang.,...&Niu, Ruiqing.(2023).An Approach for Monitoring Shallow Surface Outcrop Mining Activities Based on Multisource Satellite Remote Sensing Data.REMOTE SENSING,15(16).
MLA	Li, Shiyao,et al."An Approach for Monitoring Shallow Surface Outcrop Mining Activities Based on Multisource Satellite Remote Sensing Data".REMOTE SENSING 15.16(2023).