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- Title
Multi-Scalar Oblique Photogrammetry-Supported 3D webGIS Approach to Preventive Mining-Induced Deformation Analysis.
- Authors
Zhu, Xiaoyu; Yang, Huachao; Bian, Hefang; Mei, Yang; Zhang, Bolun; Xue, Peng
- Abstract
Underground coal mining will inevitably cause serious ground deformation, and therefore, preventive mining-induced deformation analysis (MIDA) is of great importance in assisting mining planning and decision-making. Current web-based Geographic Information System (webGIS)-based applications usually use 2D GIS data and lack a holistic framework. This study presents a multi-scalar oblique photogrammetry-supported unified 3D webGIS framework for MIDA applications to fill this gap. The developed web platform uses multiple open-source JavaScript libraries, and the prototype system provides user-friendly interfaces for GIS data collecting and corresponding database establishment, geo-visualization and query, dynamic prediction, and spatial overlapping analysis within the same framework. The proposed framework was tested and evaluated in the Qianyingzi mining area in eastern China. The results demonstrated that multi-scalar oblique photogrammetry balances data quality and acquisition efficiency and provides a good source of GIS datasets, and the web-based platform has a good absolute and relative spatial accuracy verified by two types of validation data. Practical application results proved the feasibility and reliability of the system. The developed web-based MIDA prototype system attains an appealing performance and can be easily extended to similar geoscience applications.
- Subjects
CHINA; MINES &; mineral resources; GEOGRAPHIC information systems; COAL mining; JAVASCRIPT programming language; DATABASES; RELIABILITY in engineering
- Publication
Applied Sciences (2076-3417), 2023, Vol 13, Issue 24, p13342
- ISSN
2076-3417
- Publication type
Article
- DOI
10.3390/app132413342