scholarly journals Decision Fusion of D-InSAR and Pixel Offset Tracking for Coal Mining Deformation Monitoring

2018 ◽  
Vol 10 (7) ◽  
pp. 1055 ◽  
Author(s):  
Depin Ou ◽  
Kun Tan ◽  
Qian Du ◽  
Yu Chen ◽  
Jianwei Ding
Keyword(s):  
Coal Mining ◽  
Decision Fusion ◽  
Deformation Monitoring ◽  
Offset Tracking ◽  
Pixel Offset Tracking

scholarly journals Research on Surface Deformation of Ordos Coal Mining Area by Integrating Multitemporal D-InSAR and Offset Tracking Technology

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Jiaming Yao ◽  
Xin Yao ◽  
Zuoqi Wu ◽  
Xinghong Liu
Keyword(s):  
High Resolution ◽  
Large Deformation ◽  
Coal Mining ◽  
Surface Deformation ◽  
Mining Area ◽  
Deformation Field ◽  
Coal Mining Area ◽  
Working Face ◽  
Offset Tracking ◽  
Tracking Technology

Underground mining in coal mining areas will induce large-scale, large-gradient surface deformation, threatening the safety of people’s lives and property in nearby areas. Due to mining-related subsidence is characterized by fast displacement and high nonlinearity, monitoring this process by using traditional and single interferometric synthetic aperture radar (InSAR) technology is very challenging, and it cannot accurately and quantitatively calculate the deformation of the mining area. In this paper, we proposed a new method that combines both multitemporal consecutive D-InSAR and offset tracking technology to construct a complete deformation field of the coal mining area. Taking into account the accuracy of multitemporal consecutive D-InSAR in calculating small deformation areas and the ability of offset tracking to measure large deformation areas, we utilized their respective advantages to extract the surface influence range and applied an adaptive spatial filtering method to integrate their respective results for inversion of the deformation field. 12 ascending high-resolution TerraSAR-X images (2 m) from September 3, 2018, to October 26, 2019, and 39 descending Sentinel-1 TOPS SAR images from August 5, 2018, to November 4, 2019, in the Ordos Coalfield located at Inner Mongolia, China, were utilized to obtain the whole subsidence field of the working faces F6211 and F6207 during the 454-day mining period. The GPS monitoring station located in the direction of the mining surface is used to verify the accuracy of the above method; at the same time, to a certain extent, the difference between the unmanned aerial vehicle’s DSM data acquired after coal mining and the Shuttle Radar Topography Mission (STRM) DEM can qualitatively verify the accuracy of the results. Our results show that the results of TerraSAR are basically consistent with the deformation trend of GPS data, and that of Sentinel-1 have large errors compared with GPS. The maximum central subsidence reaches ~12 m in the working face F6211 and ~4 m in the working face F6207. In the working face F6207, the good agreement between GPS and TerraSAR results indicated that the method above using high-resolution SAR data could be reliable for monitoring the large deformation area in the mining field.

scholarly journals Mine Geological Environment Monitoring and Risk Assessment in Arid and Semiarid Areas

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Jiaqi Jin ◽  
Chicheng Yan ◽  
Yixuan Tang ◽  
Yilong Yin
Keyword(s):  
Coal Mining ◽  
Ecological Restoration ◽  
Surface Deformation ◽  
Yellow River ◽  
Mining Area ◽  
Deformation Monitoring ◽  
Surface Subsidence ◽  
Mining Areas ◽  
Coal Mining Area ◽  
Arid And Semiarid

Along with the accelerated shift of coal mining to the ecologically fragile west, the contradiction between coal resource development and ecological protection in the western arid and semiarid coal mining areas is rapidly intensifying. Based on the above background, this thesis takes the coal mining area in the arid and semiarid regions as an example; applies the theories of ecology, coal mining subsidence, geodesy, and ecological restoration; uses remote sensing in synthetic aperture radar (SAR), geographic information system (GIS), and mathematical modelling to reveal the ecological evolution law of the mining area; measures the ecological damage of the mining area; and then proposes a reasonable ecological restoration strategy. The surface deformation monitoring study in the study area shows that on the whole, some areas in the study area have different degrees of surface subsidence disasters, and the maximum surface subsidence value exceeds 800 mm. From the distribution of surface subsidence in the study area, surface subsidence disasters mainly occur in the eastern and central mountainous areas rich in coal resources, as well as in the mining areas west of the Yellow River, and the subsidence basins are distributed in a series of irregular concentric ovals. In terms of the scale of surface subsidence in the study area, a total of 230.03 km2 of land in the study area showed surface subsidence hazards during the monitoring period, accounting for 13.78% of the total area of the study area, of which the area of severe subsidence was 44.98 km2 (2.69%). The area of more serious subsidence area is 101.33 km2 (6.07%), and the area affected by subsidence is 83.72 km2 (5.01%).

scholarly journals Long-Term Satellite Monitoring of the Slumgullion Landslide Using Space-Borne Synthetic Aperture Radar Sub-Pixel Offset Tracking

2019 ◽  
Vol 11 (3) ◽  
pp. 369 ◽  
Author(s):  
Donato Amitrano ◽  
Raffaella Guida ◽  
Domenico Dell’Aglio ◽  
Gerardo Di Martino ◽  
Diego Di Martire ◽  
...  
Keyword(s):  
Synthetic Aperture Radar ◽  
Synthetic Aperture ◽  
Satellite Monitoring ◽  
Debris Slide ◽  
Long Term Monitoring ◽  
Offset Tracking ◽  
Term Monitoring ◽  
Pixel Offset Tracking ◽  
Aperture Radar

Kinematic characterization of a landslide at large, small, and detailed scale is today still rare and challenging, especially for long periods, due to the difficulty in implementing demanding ground surveys with adequate spatiotemporal coverage. In this work, the suitability of space-borne synthetic aperture radar sub-pixel offset tracking for the long-term monitoring of the Slumgullion landslide in Colorado (US) is investigated. This landslide is classified as a debris slide and has so far been monitored through ground surveys and, more recently, airborne remote sensing, while satellite images are scarcely exploited. The peculiarity of this landslide is that it is subject to displacements of several meters per year. Therefore, it cannot be monitored with traditional synthetic aperture radar differential interferometry, as this technique has limitations related to the loss of interferometric coherence and to the maximum observable displacement gradient/rate. In order to overcome these limitations, space-borne synthetic aperture radar sub-pixel offset tracking is applied to pairs of images acquired with a time span of one year between August 2011 and August 2013. The obtained results are compared with those available in the literature, both at landslide scale, retrieved through field surveys, and at point scale, using airborne synthetic aperture radar imaging and GPS. The comparison showed full congruence with the past literature. A consistency check covering the full observation period is also implemented to confirm the reliability of the technique, which results in a cheap and effective methodology for the long-term monitoring of large landslide-induced movements.

A coherence estimation method for multi-temporal D-InSAR deformation monitoring in coal mining areas

2005 ◽  
Author(s):  
Junhai Gao ◽  
Daqing Ge ◽  
Linxin Wu ◽  
Zuoru Yin ◽  
Zhiyi Deng ◽  
...  
Keyword(s):  
Coal Mining ◽  
Estimation Method ◽  
Deformation Monitoring ◽  
Mining Areas ◽  
Multi Temporal ◽  
Coherence Estimation
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