Monitoring surface elevation changes in Jharia coalfield, India using synthetic aperture radar interferometry

Gupta, Mukesh; Mohanty, K. K.; Kumar, Devendra; Banerjee, Ramanuj

doi:10.1007/s12665-013-2664-9

Cited by 17 publications

(9 citation statements)

References 29 publications

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“…The Shuttle Radar Topographic Mission (SRTM) and the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) have allowed detailed analyses in large regions . Synthetic aperture radar interferometry was employed to monitor surface elevation changes in Jharia coalfield of India (Gupta et al 2014).…”

Section: Data Fusion Of Ground Measurements and Satellite Observationmentioning

confidence: 99%

A fundamental theorem of Earth’s surface modelling

et al. 2016

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Ground observation is able to obtain highly accurate data with high temporal resolution at observation points, but these observation points are too sparse to satisfy some application requirements. Satellite remote sensing and system models can frequently supply spatially continuous information about the Earth's surface, which is impossible from ground-based investigations, but remote sensing description and system model simulation are not able to directly obtain process parameters. The most effective method for Earth surface modelling entails the integration of satellite observations or system models with ground observations. However, the full integration was ignored in most of the methods. For finding a solution for this problem, we suggest an alternative method, high accuracy surface modeling (HASM), which takes global approximate information (e.g., remote sensing images or model simulation results) as its driving field and local accurate information (e.g., ground observation data and/or sampling data) as its optimum control constraints. HASM completes its operation when its output satisfies the iteration stopping criterion which is determined by application requirement for accuracy. A Fundamental Theorem of Earth Surface Modelling (FTESM) is abstracted on the basis of applying HASM to simulating surfaces of elevation, soil properties, changes of ecosystem services, and driving forces of the changes on multi-scales for about 20 years. FTESM is described as ''an Earth's surface system or a component surface of the Earth's surface environment can be simulated with HASM when its spatial resolution is fine enough, which is uniquely defined by both extrinsic and intrinsic invariants of the surface''. From FTESM, seven corollaries have been deduced, corresponding to interpolation, upsaling, downscaling, data fusion and data assimilation respectively.

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Section: Data Fusion Of Ground Measurements and Satellite Observationmentioning

confidence: 99%

A fundamental theorem of Earth’s surface modelling

et al. 2016

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“…Then, 30 points were selected with precisely defined elevation and location (geodetic reference points), and on this basis the vertical RMS (Root Mean Square) error was calculated using commonly available methodology and formulae [22]. The error value was 1.05 m. This result is better in the analyzed case than that obtained using SAR (synthetic aperture radar) interferometry, which was 2.3 m [10]. This result is better in the analyzed case than that obtained using SAR (synthetic aperture radar) interferometry, which was 2.3 m [10].…”

mentioning

confidence: 91%

“…This study, however, was aimed at comparing the methods of model preparation, and not transformations related to mining activity. The topic of design and comparison of terrain models in areas of mining activity has also been present in scientific studies by [10,11], whereas the issue of differences between models of the same terrain, resulting from different input data, was dealt with by the following authors: [12]. Subsidence of terrain above galleries of underground mines, as well as the problem of paludification and lake density in these areas, also with a comparison of terrain models from different periods, was the subject of research conducted in the Upper Silesian Industrial Region [13].…”

Section: Introductionmentioning

confidence: 99%

Transformations of Landscape Topography of the Bełchatów Coal Mine (Central Poland) and the Surrounding Area Based on DEM Analysis

Jaskulski

Nowak

2019

IJGI

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The authors analyze topography changes related to the construction and operation of the Bełchatów Brown Coal Open Mine and Power Plant, one of Europe’s larger open-pit mines, situated in central Poland. In order to achieve this, a DEM (Digital Elevation Model) is prepared, based on archival materials from the pre-investment period. Source materials include German topographical maps, issued in 1944 by the Supreme High Command of the German Army (Oberkommando des Heeres/Generalstab). The second model of the same area is prepared based on DEM data included in the Topographical Database available by CODGiK (Main Centre of Geodetic and Cartographic Documentation). The preparation of two terrain models from different periods make it possible to evaluate the changes in the morphometry. Both models are compared using ArcGIS (ESRI) tools. The comparative analysis of the models allows for observing topography changes resulting from anthropogenic transformations related to the construction of the Brown Coal Open Mine Bełchatów and Power Plant complex.

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“…Many studies are based on either satellite observations (e.g., Gupta et al 2014) or ground observations (e.g., Alkhasawneh et al 2014;Liu et al 2013). It has been proven that simulation results would have bigger errors when only satellite measurements or ground measurements are considered.…”

Section: Introductionmentioning

confidence: 99%

A review of recent developments in HASM

et al. 2015

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Ground observation is able to obtain highly accurate data with high temporal resolution at observation points, but these observation points are too sparsely to satisfy the application requirements at regional scale. Satellite remote sensing can frequently supply spatially continuous information on earth surface, which is impossible from ground-based investigations, but remote sensing description is not able to directly obtain process parameters. In fact, in terms of fundamental theorem of surfaces, a surface is uniquely defined by the first fundamental coefficients, about the details of the surface observed when we stay on the surface, and the second fundamental coefficients, the change of the surface observed from outside the surface. A method for high accuracy surface modeling (HASM) has been developed initiatively to find solutions for error problem and slow-speed problem of earth surface modeling since 1986. HASM takes global approximate information (e.g., remote sensing images or model simulation results) as its driving field and local accurate information (e.g., ground observation data and/or sampling data) as its optimum control constraints. Its output satisfies the iteration stopping criterion which is determined by application requirement for accuracy. This paper reviews problems to be solved in every development stage and applications of HASM.

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Monitoring surface elevation changes in Jharia coalfield, India using synthetic aperture radar interferometry

Cited by 17 publications

References 29 publications

A fundamental theorem of Earth’s surface modelling

A fundamental theorem of Earth’s surface modelling

Transformations of Landscape Topography of the Bełchatów Coal Mine (Central Poland) and the Surrounding Area Based on DEM Analysis

A review of recent developments in HASM

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