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Multi-sensor remote sensing analysis of coal fire induced land subsidence in Jharia Coalfields, Jharkhand, India

•Detection of surface and subsurface coal fires using the TIRS imagery.•Land subsidence analysis using PS-InSAR analysis.•Detailed analysis of the effect of coal fires on land subsidence.•Estimation of hazard risk on the surrounding infrastructure and settlements. The subsidence in coal mines induce...

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Bibliographic Details
Published in:International journal of applied earth observation and geoinformation 2021-10, Vol.102, p.102439, Article 102439
Main Authors: Karanam, Vamshi, Motagh, Mahdi, Garg, Shagun, Jain, Kamal
Format: Article
Language:English
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Summary:•Detection of surface and subsurface coal fires using the TIRS imagery.•Land subsidence analysis using PS-InSAR analysis.•Detailed analysis of the effect of coal fires on land subsidence.•Estimation of hazard risk on the surrounding infrastructure and settlements. The subsidence in coal mines induced by surface and subsurface fires leading to roof collapse, infrastructure loss, and loss of lives is a prominent concern. In the study, satellite imagery from thermal and microwave remote sensing data is used to deduce the effect of coal fires on subsidence in the Jharia Coalfields, India. The Thermal Infrared data acquired from the Landsat-8 (band 10) is used to derive the temperature anomaly maps. Persistent Scatterer Interferometry analysis was performed on sixty Sentinel-1, C-band images, the results are corrected for atmospheric error using Generic Atmospheric Correction Online Service for InSAR (GACOS) atmospheric modelling data and decomposed into vertical displacement values to quantify subsidence. A zone-wise analysis of the hazard patterns in the coalfields was carried out. Coal fire maps, subsidence velocity maps, and land cover maps were integrated to investigate the impact of the hazards on the mines and their surroundings. Maximum subsidence of approximately 20 cm/yr. and temperature anomaly of up to 25 °C has been observed. The findings exhibit a strong positive correlation between the subsidence velocity and temperature anomaly in the study area. Kusunda, Keshalpur, and Bararee collieries are identified as the most critically affected zones. The subsidence phenomenon in some collieries is extending towards the settlements and transportation networks and needs urgent intervention.
ISSN:1569-8432
1872-826X
DOI:10.1016/j.jag.2021.102439