干旱区生态环境知识资源中心(Arid): Construction of High-Precision and Complete Images of a Subsidence Basin in Sand Dune Mining Areas by InSAR-UAV-LiDAR Heterogeneous Data Integration

Arid

DOI	10.3390/rs16152752
	Construction of High-Precision and Complete Images of a Subsidence Basin in Sand Dune Mining Areas by InSAR-UAV-LiDAR Heterogeneous Data Integration
	Wang, Rui; Huang, Shiqiao; He, Yibo; Wu, Kan; Gu, Yuanyuan; He, Qimin; Yan, Huineng; Yang, Jing
通讯作者	Wang, R
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2024
卷号	16 期号:15
英文摘要	Affected by geological factors, the scale of surface deformation in a hilly semi-desertification mining area varies. Meanwhile, there is certain dense vegetation on the ground, so it is difficult to construct a high-precision and complete image of a subsidence basin by using a single monitoring method, and hence the laws of the deformation and inversion of mining parameters cannot be known. Therefore, we firstly propose conducting collaborative monitoring by using InSAR (Interferometric Synthetic Aperture Radar), UAV (unmanned aerial vehicle), and 3DTLS (three-dimensional terrestrial laser scanning). The time-series complete surface subsidence basin is constructed by fusing heterogeneous data. In this paper, SBAS-InSAR (Small Baseline Subset) technology, which has the characteristics of reducing the time and space discorrelation, is used to obtain the small-scale deformation of the subsidence basin, oblique photogrammetry and 3D-TLS with strong penetrating power are used to obtain the anomaly and large-scale deformation, and the local polynomial interpolation based on the weight of heterogeneous data is used to construct a complete and high-precision subsidence basin. Compared with GNSS (Global Navigation Satellite System) monitoring data, the mean square errors of 1.442 m, 0.090 m, 0.072 m are obtained. The root mean square error of the high-precision image of the subsidence basin data is 0.040 m, accounting for 1.4% of the maximum subsidence value. The high-precision image of complete subsidence basin data can provide reliable support for the study of surface subsidence law and mining parameter inversion.
英文关键词	mining subsidence local polynomial interpolation 3DTLS InSAR UAV
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:001287066000001
WOS关键词	TIME-SERIES ; INTERFEROMETRIC SAR ; VOLCANO ; GPS
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/2XILL650/405317
推荐引用方式 GB/T 7714	Wang, Rui,Huang, Shiqiao,He, Yibo,et al. Construction of High-Precision and Complete Images of a Subsidence Basin in Sand Dune Mining Areas by InSAR-UAV-LiDAR Heterogeneous Data Integration[J],2024,16(15).
APA	Wang, Rui.,Huang, Shiqiao.,He, Yibo.,Wu, Kan.,Gu, Yuanyuan.,...&Yang, Jing.(2024).Construction of High-Precision and Complete Images of a Subsidence Basin in Sand Dune Mining Areas by InSAR-UAV-LiDAR Heterogeneous Data Integration.REMOTE SENSING,16(15).
MLA	Wang, Rui,et al."Construction of High-Precision and Complete Images of a Subsidence Basin in Sand Dune Mining Areas by InSAR-UAV-LiDAR Heterogeneous Data Integration".REMOTE SENSING 16.15(2024).