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Aug 2026
Application of remote sensing and digital technologies in monitoring mining infrastructure
Monitoring mining infrastructure is essential for ensuring operational safety and minimizing environmental risks associated with subsidence and structural instability. However, existing approaches often rely on single-source data, limiting their ability to capture complex and dynamic deformation processes. This study p...
Nurbek Abdixamidov, Maksuda Juraeva, Nafosat Meyliyeva et al.
· Geotechnology, Mining and Ra... · 0 citations
Open access
Aug 2026
Basin-Wide Monitoring and PIM Parameter Inversion of Mining Subsidence Using UAV-LiDAR
Accurate, comprehensive, and spatially continuous monitoring of mining-induced surface subsidence is essential for geohazard prevention, ecological restoration, and safe mining. Conventional approaches, however, are limited by the sparse spatial distribution of GNSS observations, the difficulty of InSAR in resolving la...
Hai-Rui Li, Yao-Jun Zhang, Wen-Peng Zhao et al.
· Applied Sciences · 0 citations
Conference
Open access
Aug 2026
A Strategic Framework for Integrating Unmanned Aerial Vehicles (UAV)-Based Pavement Assessments into the Egyptian Road Network
Pavement condition assessment is essential for effective road network management, as paved roads deteriorate over time due to traffic loading and environmental effects. Traditional pavement surveys rely on in-situ measurements and visual inspections to identify surface distresses such as cracking, raveling, and weather...
Abdel-Halem A. Abdel-hamed, Abdallah Samir Abdallah, Ibrahim Elnaml et al.
· IOP Conference Series: Earth... · 0 citations
Open access
Jul 2026
Synergistic Monitoring Framework for Mining Subsidence Under Thick Loose Layers by Integrating InSAR and UAV Photogrammetry
The surface subsidence caused by coal mining is a geological environmental disaster that restricts the sustainable development of mining areas. Traditional monitoring methods have limitations in long-term and high-precision observation. Therefore, this paper proposes a synergistic monitoring framework for mining subsid...
Shu Li, Guang Hu, Tao Zhang et al.
· Géosciences · 0 citations
Open access
Sep 2026
Surface Subsidence Analysis and Prediction in an Open-Pit Mine Using Time-Series InSAR and a CL-TSF Hybrid Model
Surface subsidence in mining areas is a widespread, long-term, and slow-onset geological hazard that can induce cascading failures, including slope instability and ground collapse, thereby threatening infrastructure and human safety. Accurate characterization of its spatiotemporal evolution and reliable prediction of f...
Guo-Yang Liu, Pu Zhao, Jun-Xiang Wang et al.
· Remote Sensing · 0 citations
Open access
Aug 2026
Research on Key Technologies and Safety Warning of Deep Excavation Support Structures Based on Multi Source Sensing and Real Time Data Fusion
Deep excavation support structures exhibit nonlinear and spatiotemporally coupled deformation under complex geological conditions and construction disturbances, making single-sensor monitoring insufficient for real-time safety warning. This study proposes a multi-source sensing and real-time data fusion method for safe...
Yuxiang Zhang
· Advanced Electromagnetics · 0 citations