{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,5]],"date-time":"2026-03-05T15:02:22Z","timestamp":1772722942529,"version":"3.50.1"},"reference-count":82,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2021,4,15]],"date-time":"2021-04-15T00:00:00Z","timestamp":1618444800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001413","name":"Indian Space Research Organisation","doi-asserted-by":"publisher","award":["SAC\/EPSA\/GSD\/DMSP\/WP\/06\/2016"],"award-info":[{"award-number":["SAC\/EPSA\/GSD\/DMSP\/WP\/06\/2016"]}],"id":[{"id":"10.13039\/501100001413","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Public safety and socio-economic development of the Jharia coalfield (JCF) in India is critically dependent on precise monitoring and comprehensive understanding of coal fires, which have been burning underneath for more than a century. This study utilizes New-Small BAseline Subset (N-SBAS) technique to compute surface deformation time series for 2017\u20132020 to characterize the spatiotemporal dynamics of coal fires in JCF. The line-of-sight (LOS) surface deformation estimated from ascending and descending Sentinel-1 SAR data are subsequently decomposed to derive precise vertical subsidence estimates. The most prominent subsidence (~22 cm) is observed in Kusunda colliery. The subsidence regions also correspond well with the Landsat-8 based thermal anomaly map and field evidence. Subsequently, the vertical surface deformation time-series is analyzed to characterize temporal variations within the 9.5 km2 area of coal fires. Results reveal that nearly 10% of the coal fire area is newly formed, while 73% persisted throughout the study period. Vulnerability analyses performed in terms of the susceptibility of the population to land surface collapse demonstrate that Tisra, Chhatatanr, and Sijua are the most vulnerable towns. Our results provide critical information for developing early warning systems and remediation strategies.<\/jats:p>","DOI":"10.3390\/rs13081521","type":"journal-article","created":{"date-parts":[[2021,4,15]],"date-time":"2021-04-15T01:37:25Z","timestamp":1618450645000},"page":"1521","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":31,"title":["Detecting and Analyzing the Evolution of Subsidence Due to Coal Fires in Jharia Coalfield, India Using Sentinel-1 SAR Data"],"prefix":"10.3390","volume":"13","author":[{"given":"Moidu Jameela","family":"Riyas","sequence":"first","affiliation":[{"name":"Department of Applied Geology, Indian Institute of Technology (Indian School of Mines), Dhanbad 826004, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6254-6506","authenticated-orcid":false,"given":"Tajdarul Hassan","family":"Syed","sequence":"additional","affiliation":[{"name":"Department of Earth Sciences, Indian Institute of Technology Kanpur, Kanpur 208016, India"}]},{"given":"Hrishikesh","family":"Kumar","sequence":"additional","affiliation":[{"name":"Geosciences Division, ISRO\u2014Space Application Center, Ahmedabad 380015, India"}]},{"given":"Claudia","family":"Kuenzer","sequence":"additional","affiliation":[{"name":"Earth Observation Center (EOC), German Aerospace Center (DLR), 82234 Oberpfaffenhofen, Germany"},{"name":"Chair of Remote Sensing, Institute of Geography and Geology, University of Wuerzburg, 97074 Wuerzburg, Germany"}]}],"member":"1968","published-online":{"date-parts":[[2021,4,15]]},"reference":[{"key":"ref_1","unstructured":"Stracher, G.B., Prakash, A., and Sokol, E.V. (2010). Coal and Peat Fires: A Global Perspective, Elsevier. [1st ed.]."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"50","DOI":"10.1016\/j.coal.2013.12.011","article-title":"Nanominerals and Ultrafine Particles from Coal Fires from Santa Catarina, South Brazil","volume":"122","author":"Dias","year":"2014","journal-title":"Int. J. Coal Geol."},{"key":"ref_3","unstructured":"Stracher, G.B., Prakash, A., and Sokol, E.V. (2012). Coal and Peat Fires: A Global Perspective, Elsevier."},{"key":"ref_4","first-page":"1","article-title":"Coal Formation and the Origin of Coal Fires","volume":"Volume 1","author":"Stracher","year":"2011","journal-title":"Coal and Peat Fires: A Global Perspective"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1016\/B978-0-444-52858-2.00006-2","article-title":"The Effects of Global Coal Fires","volume":"Volume 1","author":"Stracher","year":"2011","journal-title":"Coal and Peat Fires: A Global Perspective"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1016\/j.coal.2003.11.002","article-title":"Potential Health Impacts of Burning Coal Beds and Waste Banks","volume":"59","author":"Finkelman","year":"2004","journal-title":"Int. J. Coal Geol."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1016\/j.apgeog.2006.09.007","article-title":"Uncontrolled Coal Fires and Their Environmental Impacts: Investigating Two Arid Mining Regions in North-Central China","volume":"27","author":"Kuenzer","year":"2007","journal-title":"Appl. Geogr."},{"key":"ref_8","first-page":"57","article-title":"Remote and In Situ Mapping of Coal Fires: Case Studies from China and India","volume":"Volume 3","author":"Stracher","year":"2015","journal-title":"Coal and Peat Fires: A Global Perspective"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"1639","DOI":"10.18520\/cs\/v110\/i9\/1639-1650","article-title":"Environmental and Socio-Economic Impacts of Fire in Jharia Coalfield, Jharkhand, India: An Appraisal","volume":"110","author":"Pandey","year":"2016","journal-title":"Curr. Sci."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"921","DOI":"10.1080\/014311601300074441","article-title":"Data Fusion for Investigating Land Subsidence and Coal Fire Hazards in a Coal Mining Area","volume":"22","author":"Prakash","year":"2001","journal-title":"Int. J. Remote Sens."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"338","DOI":"10.1016\/j.earscirev.2018.10.009","article-title":"Remote Sensing of Coal Fires in India: A Review","volume":"187","author":"Syed","year":"2018","journal-title":"Earth Sci. Rev."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"72","DOI":"10.1016\/j.coal.2014.09.004","article-title":"Coal Fires in China over the Last Decade: A Comprehensive Review","volume":"133","author":"Song","year":"2014","journal-title":"Int. J. Coal Geol."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"1222","DOI":"10.1016\/j.rser.2015.09.072","article-title":"Environmental Impact Studies in Coalfields in India: A Case Study from Jharia Coal-Field","volume":"53","author":"Saini","year":"2016","journal-title":"Renew. Sustain. Energy Rev."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"33","DOI":"10.9790\/0837-191263345","article-title":"Quality of Life Analysis: Socio-Economic Perspective with Reference to Jharia Coalfield","volume":"19","author":"Adhikary","year":"2014","journal-title":"IOSR J. Humanit. Soc. Sci."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1016\/j.coal.2003.03.002","article-title":"Coal Fires Burning out of Control around the World: Thermodynamic Recipe for Environmental Catastrophe","volume":"59","author":"Stracher","year":"2004","journal-title":"Int. J. Coal Geol."},{"key":"ref_16","first-page":"102056","article-title":"An Enhanced Spatiotemporal Fusion Method\u2014Implications for Coal Fire Monitoring Using Satellite Imagery","volume":"88","author":"Ghosh","year":"2020","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"4561","DOI":"10.1080\/01431160701250432","article-title":"Detecting Unknown Coal Fires: Synergy of Automated Coal Fire Risk Area Delineation and Improved Thermal Anomaly Extraction","volume":"28","author":"Kuenzer","year":"2007","journal-title":"Int. J. Remote Sens."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1016\/j.coal.2010.12.001","article-title":"A Remote Sensing and GIS Based Investigation of a Boreal Forest Coal Fire","volume":"86","author":"Prakash","year":"2011","journal-title":"Int. J. Coal Geol."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"164492","DOI":"10.1109\/ACCESS.2019.2952363","article-title":"Underground Coal Fires Identification and Monitoring Using Time-Series InSAR With Persistent and Distributed Scatterers: A Case Study of Miquan Coal Fire Zone in Xinjiang, China","volume":"7","author":"Liu","year":"2019","journal-title":"IEEE Access"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"1152","DOI":"10.3390\/rs5031152","article-title":"Mapping Land Subsidence Related to Underground Coal Fires in the Wuda Coalfield (Northern China) Using a Small Stack of ALOS PALSAR Differential Interferograms","volume":"5","author":"Zhou","year":"2013","journal-title":"Remote Sens."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"197","DOI":"10.1016\/j.coal.2011.06.018","article-title":"Mapping the Coal Fire at Centralia, Pa Using Thermal Infrared Imagery","volume":"87","author":"Elick","year":"2011","journal-title":"Int. J. Coal Geol."},{"key":"ref_22","first-page":"188","article-title":"Application of Remote Sensing to Identify Coalfires in the Raniganj Coalbelt, India","volume":"8","author":"Gangopadhyay","year":"2006","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"3088","DOI":"10.3390\/rs70303088","article-title":"A Study of Coal Fire Propagation with Remotely Sensed Thermal Infrared Data","volume":"7","author":"Huo","year":"2015","journal-title":"Remote Sens."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"429","DOI":"10.1007\/978-94-007-6639-6_21","article-title":"Thermal Infrared Remote Sensing of Surface and Underground Coal Fires","volume":"Volume 17","author":"Kuenzer","year":"2013","journal-title":"Thermal Infrared Remote Sensing (Remote Sensing and Digital Image Processing)"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"209","DOI":"10.1016\/j.geomorph.2011.09.004","article-title":"Geomorphology of Coal Seam Fires","volume":"138","author":"Kuenzer","year":"2012","journal-title":"Geomorphology"},{"key":"ref_26","first-page":"276","article-title":"Spatio-Temporal Pattern of Eco-Environmental Parameters in Jharia Coalfield, India","volume":"Volume 9644","author":"Michel","year":"2015","journal-title":"Proceedings of the Earth Resources and Environmental Remote Sensing\/GIS Applications VI, Toulouse, France, 21\u201324 September 2015"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1016\/j.isprsjprs.2005.12.002","article-title":"Coal Fire Mapping from Satellite Thermal IR Data\u2014A Case Example in Jharia Coalfield, Jharkhand, India","volume":"60","author":"Chatterjee","year":"2006","journal-title":"ISPRS J. Photogr. Remote Sens."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"3193","DOI":"10.1080\/01431160310001620812","article-title":"Detecting Coal Fires Using Remote Sensing Techniques","volume":"25","author":"Zhang","year":"2004","journal-title":"Int. J. Remote Sens."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1016\/j.jappgeo.2007.08.003","article-title":"Thermal Characteristics of Coal Fires 2: Results of Measurements on Simulated Coal Fires","volume":"63","author":"Zhang","year":"2007","journal-title":"J. Appl. Geophys."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"117","DOI":"10.1016\/j.jappgeo.2007.08.002","article-title":"Thermal Surface Characteristics of Coal Fires 1 Results of In-Situ Measurements","volume":"63","author":"Zhang","year":"2007","journal-title":"J. Appl. Geophys."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"923","DOI":"10.1080\/01431160701352147","article-title":"The Potential of Multidiurnal MODIS Thermal Band Data for Coal Fire Detection","volume":"29","author":"Kuenzer","year":"2008","journal-title":"Int. J. Remote Sens."},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Prakash, A., and Gens, R. (2011). Remote Sensing of Coal Fires. Coal and Peat Fires: A Global Perspective, Elsevier.","DOI":"10.1016\/B978-0-444-52858-2.00014-1"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1016\/j.coal.2015.03.008","article-title":"Analysis of Coal Fire Dynamics in the Wuda Syncline Impacted by Fire-Fighting Activities Based on in-Situ Observations and Landsat-8 Remote Sensing Data","volume":"141\u2013142","author":"Song","year":"2015","journal-title":"Int. J. Coal Geol."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1016\/j.coal.2003.12.013","article-title":"Integrating Satellite Remote Sensing Techniques for Detection and Analysis of Uncontrolled Coal Seam Fires in North China","volume":"59","author":"Voigt","year":"2004","journal-title":"Int. J. Coal Geol."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"175","DOI":"10.1016\/j.coal.2007.12.005","article-title":"Numerical Modeling for Analyzing Thermal Surface Anomalies Induced by Underground Coal Fires","volume":"74","author":"Wessling","year":"2008","journal-title":"Int. J. Coal Geol."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"142","DOI":"10.1016\/j.coal.2017.01.008","article-title":"Spectral Reflectance (400\u20132500 Nm) Properties of Coals, Adjacent Sediments, Metamorphic and Pyrometamorphic Rocks in Coal-Fire Areas: A Case Study of Wuda Coalfield and Its Surrounding Areas, Northern China","volume":"171","author":"Song","year":"2017","journal-title":"Int. J. Coal Geol."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1016\/j.coal.2015.07.010","article-title":"Rapid Determination of Coalbed Methane Exploration Target Region Utilizing Hyperspectral Remote Sensing","volume":"150\u2013151","author":"Zhang","year":"2015","journal-title":"Int. J. Coal Geol."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"1359","DOI":"10.1007\/s12040-015-0606-5","article-title":"Detecting, Mapping and Monitoring of Land Subsidence in Jharia Coalfield, Jharkhand, India by Spaceborne Differential Interferometric SAR, GPS and Precision Levelling Techniques","volume":"124","author":"Chatterjee","year":"2015","journal-title":"J. Earth Syst. Sci."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"1249","DOI":"10.1007\/s12040-013-0355-2","article-title":"Monitoring Subsurface Coal Fires in Jharia Coalfield Using Observations of Land Subsidence from Differential Interferometric Synthetic Aperture Radar (DInSAR)","volume":"122","author":"Gupta","year":"2013","journal-title":"J. Earth Syst. Sci."},{"key":"ref_40","unstructured":"Hoffmann, J., Roth, A., Tetzlaff, A., and Voigt, S. (2003). Detecting Coal Fires in China Using Differential Interferometric Synthetic Aperture Radar (InSAR). Proceedings of the Fringe Symposium, Frascati, Italy, 1\u20135 December 2003, DLR-Beauftragter."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"40","DOI":"10.1016\/j.rse.2015.08.035","article-title":"Statistical Comparison of InSAR Tropospheric Correction Techniques","volume":"170","author":"Bekaert","year":"2015","journal-title":"Remote sens. Environ."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"8758","DOI":"10.1002\/2015JB012419","article-title":"InSAR Bias and Uncertainty Due to the Systematic and Stochastic Tropospheric Delay","volume":"120","author":"Fattahi","year":"2015","journal-title":"J. Geophys. Res. Solid Earth"},{"key":"ref_43","doi-asserted-by":"crossref","unstructured":"Even, M., and Schulz, K. (2018). InSAR Deformation Analysis with Distributed Scatterers: A Review Complemented by New Advances. Remote Sens., 10.","DOI":"10.3390\/rs10050744"},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"8925","DOI":"10.3390\/rs70708925","article-title":"Large-Area Landslides Monitoring Using Advanced Multi-Temporal InSAR Technique over the Giant Panda Habitat, Sichuan, China","volume":"7","author":"Tang","year":"2015","journal-title":"Remote Sens."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"78","DOI":"10.1016\/j.isprsjprs.2015.10.011","article-title":"Persistent Scatterer Interferometry: A Review","volume":"115","author":"Crosetto","year":"2016","journal-title":"ISPRS J. Photogr. Remote Sens."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.tecto.2011.10.013","article-title":"Recent Advances in SAR Interferometry Time Series Analysis for Measuring Crustal Deformation","volume":"514\u2013517","author":"Hooper","year":"2012","journal-title":"Tectonophysics"},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"90","DOI":"10.1016\/j.isprsjprs.2015.10.003","article-title":"Time Series Analysis of InSAR Data: Methods and Trends","volume":"115","author":"Sunar","year":"2016","journal-title":"ISPRS J. Photogr. Remote Sens."},{"key":"ref_48","doi-asserted-by":"crossref","unstructured":"Ma, C., Cheng, X., Yang, Y., Zhang, X., Guo, Z., and Zou, Y. (2016). Investigation on Mining Subsidence Based on Multi-Temporal InSAR and Time-Series Analysis of the Small Baseline Subset\u2014Case Study of Working Faces 22201-1\/2 in Bu\u2019ertai Mine, Shendong Coalfield, China. Remote Sens., 8.","DOI":"10.3390\/rs8110951"},{"key":"ref_49","doi-asserted-by":"crossref","unstructured":"Fuhrmann, T., and Garthwaite, M.C. (2019). Resolving Three-Dimensional Surface Motion with InSAR: Constraints from Multi-Geometry Data Fusion. Remote Sens., 11.","DOI":"10.3390\/rs11030241"},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1016\/j.jog.2016.05.003","article-title":"Vertical and Horizontal Displacements of Los Angeles from InSAR and GPS Time Series Analysis: Resolving Tectonic and Anthropogenic Motions","volume":"99","author":"Hu","year":"2016","journal-title":"J. Geodyn."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.earscirev.2014.02.005","article-title":"Resolving Three-Dimensional Surface Displacements from InSAR Measurements: A Review","volume":"133","author":"Hu","year":"2014","journal-title":"Earth Sci. Rev."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"3883","DOI":"10.1109\/JSTARS.2016.2577878","article-title":"A Minimum Acceleration Approach for the Retrieval of Multiplatform InSAR Deformation Time Series","volume":"9","author":"Pepe","year":"2016","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_53","first-page":"102050","article-title":"Investigation of the Ground Displacement in Saint Petersburg, Russia, Using Multiple-Track Differential Synthetic Aperture Radar Interferometry","volume":"87","author":"Wang","year":"2020","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_54","unstructured":"Doin, M.-P., Guillaso, S., Jolivet, R., Lasserre, C., Lodge, F., Ducret, G., and Grandin, R. (2011). Presentation of the Small Baseline NSBAS Processing Chain on a Case Example: The Etna Deformation Monitoring from 2003 to 2010 Using Envisat Data. Proceedings of the Fringe Symposium, Frascati, Italy, 19\u201323 September 2011, HAL."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"2375","DOI":"10.1109\/TGRS.2002.803792","article-title":"A New Algorithm for Surface Deformation Monitoring Based on Small Baseline Differential SAR Interferograms","volume":"40","author":"Berardino","year":"2002","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1016\/j.coal.2003.11.005","article-title":"The Jharia Mine Fire Control Technical Assistance Project: An Analysis","volume":"59","author":"Michalski","year":"2004","journal-title":"Int. J. Coal Geol."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"251","DOI":"10.1007\/s12594-010-0097-6","article-title":"Stratigraphic Correlation between Different Gondwana Basins of India","volume":"76","author":"Mukhopadhyay","year":"2010","journal-title":"J. Geol. Soc. India"},{"key":"ref_58","doi-asserted-by":"crossref","unstructured":"Roy, A.B., and Purohit, R. (2018). Geology of the Gondwana Supergroup. Indian Shield, Elsevier.","DOI":"10.1016\/B978-0-12-809839-4.00015-1"},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"78","DOI":"10.1016\/j.proeng.2013.08.046","article-title":"Spontaneous Heating and Fire in Coal Mines","volume":"62","author":"Singh","year":"2013","journal-title":"Procedia Eng."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"777","DOI":"10.1109\/TGRS.2016.2614925","article-title":"A Network-Based Enhanced Spectral Diversity Approach for TOPS Time-Series Analysis","volume":"55","author":"Fattahi","year":"2017","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"338","DOI":"10.1364\/JOSAA.18.000338","article-title":"Two-Dimensional Phase Unwrapping with Use of Statistical Models for Cost Functions in Nonlinear Optimization","volume":"18","author":"Chen","year":"2001","journal-title":"J. Opt. Soc. Am. A"},{"key":"ref_62","unstructured":"(2020, January 03). The InSAR Scientific Computing Environment (ISCE): A Python Framework for Earth Science. Available online: https:\/\/agu.confex.com\/agu\/fm15\/webprogram\/Paper84336.html."},{"key":"ref_63","doi-asserted-by":"crossref","unstructured":"Jolivet, R., Grandin, R., Lasserre, C., Doin, M.-P., and Peltzer, G. (2011). Systematic InSAR Tropospheric Phase Delay Corrections from Global Meteorological Reanalysis Data. Geophys. Res. Lett., 38.","DOI":"10.1029\/2011GL048757"},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"L01607","DOI":"10.1029\/2003GL018827","article-title":"Toward Mapping Surface Deformation in Three Dimensions Using InSAR","volume":"31","author":"Wright","year":"2004","journal-title":"Geophys. Res. Lett."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"2373","DOI":"10.1002\/2016JB013535","article-title":"Testing the Inference of Creep on the Northern Rodgers Creek Fault, California, Using Ascending and Descending Persistent Scatterer InSAR Data","volume":"122","author":"Jin","year":"2017","journal-title":"J. Geophys. Res. Solid Earth"},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"6942","DOI":"10.1080\/01431161.2012.695093","article-title":"Use of Satellite-Derived Emissivity to Detect Coalfire-Related Surface Temperature Anomalies in Jharia Coalfield, India","volume":"33","author":"Gangopadhyay","year":"2012","journal-title":"Int. J. Remote Sens."},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"2111","DOI":"10.1080\/01431169508954545","article-title":"Landsat-TM Data for Estimating Ground Temperature and Depth of Subsurface Coal Fire in the Jharia Coalfield, India","volume":"16","author":"Saraf","year":"1995","journal-title":"Int. J. Remote Sens."},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"2105","DOI":"10.1080\/01431169508954544","article-title":"Surface Thermal Anomalies Associated with Underground Fires in Jharia Coal Mines, India","volume":"16","author":"Prakash","year":"1995","journal-title":"Int. J. Remote Sens."},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"3243","DOI":"10.1080\/01431160903159340","article-title":"Recent Coal-Fire and Land-Use Status of Jharia Coalfield, India from Satellite Data","volume":"31","author":"Martha","year":"2010","journal-title":"Int. J. Remote Sens."},{"key":"ref_70","unstructured":"BCCL (2021, February 12). BCCL W J Area Overview. Available online: http:\/\/www.bcclweb.in\/?page_id=1724."},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"534","DOI":"10.1016\/j.rse.2018.11.003","article-title":"Ground Surface Response to Continuous Compaction of Aquifer System in Tehran, Iran: Results from a Long-Term Multi-Sensor InSAR Analysis","volume":"221","author":"Haghighi","year":"2019","journal-title":"Remote Sens. Environ."},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"134","DOI":"10.1016\/j.enggeo.2017.01.011","article-title":"Quantifying Groundwater Exploitation Induced Subsidence in the Rafsanjan Plain, Southeastern Iran, Using InSAR Time-Series and in Situ Measurements","volume":"218","author":"Motagh","year":"2017","journal-title":"Eng. Geol."},{"key":"ref_73","doi-asserted-by":"crossref","unstructured":"Saha, D., Marwaha, S., and Mukherjee, A. (2018). Evaluation of Water Level Behavior in Coal-Mining Area, Adjacent Township, and District Areas of Jharkhand State, India. Clean and Sustainable Groundwater in India, Springer Hydrogeology.","DOI":"10.1007\/978-981-10-4552-3"},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"305","DOI":"10.1016\/0016-7142(79)90025-5","article-title":"Geology, Structure and Tectonics of the Jharia Coalfield, India\u2014A Three-Dimensional Model","volume":"17","author":"Verma","year":"1979","journal-title":"Geoexploration"},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"93","DOI":"10.3233\/RED-120019","article-title":"The Coal Cycle: Small-Scale Illegal Coal Supply in Eastern India","volume":"2","author":"Williams","year":"2005","journal-title":"J. Resour. Energy Dev."},{"key":"ref_76","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s11707-019-0757-9","article-title":"Integration of Satellite Remote Sensing Data in Underground Coal Fire Detection: A Case Study of the Fukang Region, Xinjiang, China","volume":"14","author":"Yan","year":"2020","journal-title":"Front. Earth Sci."},{"key":"ref_77","doi-asserted-by":"crossref","unstructured":"Michalski, S.R., Custer, E.S., and Munshi, P.L. (1997). Investigation of the Jharia Coalfield Mine Fires\u2014India. Am. Soc. Min. Reclam., 211\u2013223.","DOI":"10.21000\/JASMR97010211"},{"key":"ref_78","unstructured":"Stracher, G.B. (2019). Evidence of Human Health Impacts From Uncontrolled Coal Fires in Jharia, India. Coal and Peat Fires: A Global Perspective, Elsevier."},{"key":"ref_79","unstructured":"(2020, December 20). Mongabay. Available online: https:\/\/india.mongabay.com\/2019\/10\/the-burning-coalfields-of-jharia-belch-poison-for-local-residents."},{"key":"ref_80","unstructured":"(2020, December 23). Hindustan Times. Available online: https:\/\/www.hindustantimes.com\/ranchi\/earth-opens-up-to-swallow-man-son-in-jharkhand-coal-mining-zone\/story-UzmosIjhgIiqHYnCXZgB6H.html."},{"key":"ref_81","doi-asserted-by":"crossref","first-page":"439","DOI":"10.1111\/j.1365-246X.2007.03568.x","article-title":"Investigating Dynamic Underground Coal Fires by Means of Numerical Simulation","volume":"172","author":"Wessling","year":"2008","journal-title":"Geophys. J. Int."},{"key":"ref_82","doi-asserted-by":"crossref","first-page":"627","DOI":"10.1007\/s10706-014-9738-7","article-title":"Dynamic Subsidence Characteristics in Jharia Coalfield, India","volume":"32","author":"Prakash","year":"2014","journal-title":"Geotech. Geol. 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