Surface Subsidence Monitoring of Mining Areas in Hunan Province Based on Sentinel-1A and DS-InSAR [PDF]
Sensors, 2023 Monitoring the surface subsidence in mining areas is conducive to the prevention and control of geological disasters, and the prediction and early warning of accidents. Hunan Province is located in South China. The mineral resource reserves are abundant;
Liya Zhang +8 more
doaj +7 more sources
Research on the surface subsidence monitoring technology based on fiber Bragg grating sensing [PDF]
Photonic Sensors, 2016 In order to monitor the process of surface subsidence caused by mining in real time, we reported two types of fiber Bragg grating (FBG) based sensors.
Jinyu Wang +8 more
doaj +5 more sources
Monitoring, analyzing and predicting urban surface subsidence: A case study of Wuhan City, China
International Journal of Applied Earth Observations and Geoinformation, 2021 Wuhan, one of China's megacities with rapid development, is facing serious surface subsidence. In this study, we combined MT-InSAR, geo-detector, and LSTM (Long Short-Term Memory) to achieve the monitoring, analysis, and prediction of surface subsidence ...
Qing Ding +5 more
doaj +4 more sources
SURFACE SUBSIDENCE MONITORING AND ANALYZING IN BEIJING BASED ON INTERFEROMETRIC POINT TARGET ANALYSIS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017 Temporal and geometrical decorrelation often prevents SAR interferometry from being an operational tool for surface deformation monitoring. Moreover, atmospheric disturbances can strongly compromise the accuracy of the results.
Y. Sun, Y. Sun, L. Lu
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Accuracy Verification and Correction of D-InSAR and SBAS-InSAR in Monitoring Mining Surface Subsidence [PDF]
Remote Sensing, 2021 The accuracy of InSAR in monitoring mining surface subsidence is always a matter of concern for surveyors. Taking a mining area in Shandong Province, China, as the study area, D-InSAR and SBAS-InSAR were used to obtain the cumulative subsidence of a mining area over a multi-period, which was compared with the mining progress of working faces.
Shengwen Yu, Qiuxiang Tao, Guolin Liu
exaly +4 more sources
Remote Sensing, 2022 Surface subsidence caused by coal mining has become an important factor that affects and restricts the sustainable development of mining districts. It is necessary to use appropriate methods for effective subsidence monitoring. It is hard to monitor large gradient ground deformations with a high accuracy by using differential interferometric synthetic ...
Xugang Lian, Linlin Ge, Wenfu Yang
exaly +4 more sources
A Low-Cost Web Application System for Monitoring Geometrical Impacts of Surface Subsidence
Sustainability, 2022 This paper develops a low-cost web application system for monitoring geometrical impacts of surface subsidence. In many of the developing countries, the method of extraction of minerals such as coal is often impractical and uneconomical, especially with surface mining.
Nixon N Nduji +2 more
exaly +3 more sources
Monitoring of Surface Subsidence Based on D-InSAR Technology in Huainan Mining Area
Gong-kuang zidonghua, 2011 In view of defects of long monitoring period, high cost and incomprehensive monitoring existed in monitoring technology of surface subsidence in mining areas by use of geodesic leveling and GPS measurements, a monitoring method of surface subsidence ...
YAN Jian-wei, WANG Yun-jia, ZHU Yong
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Investigating Mining-Induced Surface Subsidence in Mountainous Areas Using Integrated InSAR and GNSS Monitoring [PDF]
SensorsLeveraging the complementary advantages of InSAR and GNSS, this study proposes a refined method for monitoring mining-induced surface subsidence by integrating both technologies.
Qingfeng Hu +13 more
doaj +2 more sources
MONITORING AND ANALYZING THE SURFACE SUBSIDENCE IN LANGFANG BY TIME-SERIES INTERFEROMETRIC RADAR TECHNIQUE [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 In this paper, the subsidence change maps in Langfang were obtained using ASAR images covering Langfang area acquired from August 2007 to September 2010 with the Persistent Scatterer Interferometric Synthetic Aperture Radar (PSInSAR) technique.
L. Zhou +6 more
doaj +3 more sources