4.4 Article

Underground mine deformation monitoring using Synthetic Aperture Radar technique: A case study of Rajgamar coal mine of Korba Chhattisgarh, India

Journal

JOURNAL OF APPLIED GEOPHYSICS
Volume 209, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.jappgeo.2022.104899

Keywords

Sentinel-1; DInSAR; Deformation; Coal mine; Rajgamar coalfield; Korba coalfield

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Surface deformation in the Korba Coal Mines of India was identified using Synthetic Aperture Radar (SAR) Technology. The DInSAR technique was used to generate deformation maps from images taken between 2015 and 2019. The study showed that the Rajgamar coal mine area experienced a slow rate of deformation.
Coal mines are the major source of energy in industries and are important indicators of the economic growth of a country. Excessive withdrawal of coal from underground coal mines without stowing leads to surface defor-mation. In this study, Synthetic Aperture Radar Technology has been used to identify the surface deformation in the Korba Coal Mines of India. Korba coal mines are major coal-producing mines in India that come under South Eastern Coalfields Limited (SECL). It covers three underground mines. Depillaring has been done through the caving method, which may lead to the deformation of the area and its surroundings. Deformation may have devastating consequences if overlooked. So, it requires continuous monitoring of the area. Space-based SAR interferometry is the most preferred technique to monitor any mining area over a period of time. In this tech-nique, known as the DInSAR technique, a deformation map can be generated from images of the same area acquired over different points of time. In the present study, images of the month of February of the years 2015, 2016, 2017, and 2019 have been successfully utilized for DInSAR analysis over the Rajgamar area. The Inter-ferogram allows analysis of an entire mine site including pits and their surrounding area. High precision monitoring over wide coverage enables to bring out accurate deformation results due to the presence of coherent targets and monitoring risk across the study area. Maps generated from data were scrutinized and interpreted. Consequentially, 2015-2016 shows greater deformation than the other two corresponding maps generated 2015-2017 and 2015-2019 data. Results were validated through ground observations. Overall the area of the Rajgamar coal mine is getting deformed at a slow rate.

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