Banaras Hindu University, India
Vikas Srivastava pursuing his Ph.D at the age of 35 years from Department of Mining Engineering, Indian Institute of Technology (Banaras Hindu University), Varanasi – 221005. He has published more than 5 publications in journals and conferences
Coal is an important energy resource of a country. The huge coal reserves of JCF (Jharia coalfields) burning from past nine decades due to lack of attention towards airborne RS & GIS (Remote Sensing and Geographic Information System) technologies. The detection of the coalfire at early stage is helpful in the prediction of serious economical and environmental problems at national and international levels. Coal seam fires are mainly under control by effective detection model in developed countries and researches are going in other countries. The RS studies and their data are based on Hyperspectral, optical - MSS (Multi Spectral Spectrum), thermal or radar data. LISS (Linear Imaging and Self Scanning sensors), TM (Thematic Mapper), bands 4, 5 and 7 TIR (Thermal Infra Red), SWIR (Short Wave Infra Red) ETM+, NIR (Near Infra Red and Din SAR (Differential Interferometry Synthetic Aperture Radar ) sensors of IRS and Landsat for detections in JCF. The detection time is reduced through remote sensing & GIS technologies. The effective application of RS & GIS reduces the gap between technologies for mapping the control measures for detection of uncontrolled underground coal fires. The present paper, discuses the advances in the approaches for the delineation of fire zones of JCF.