Landsat-TM data for estimating ground temperature and depth of subsurface coal fire in the Jharia coalfield, India

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

“…Several manual thresholding techniques, such as trial and error (Prakash et al, 1997;Saraf et al, 1995), thermal mean value derivation adding a standard deviation of two (Huo et al, 2014;Prakash and Gupta, 1999), and the slope of the histogram (Rosema et al, 1999), as well as an automated thermal anomaly extraction technique (Kuenzer, 2005;Kuenzer et al, 2007a;Zhang, 2004) have been employed to delineate coal fire induced thermal anomalous areas. Zhang (2004) and Kuenzer et al (2007a) proposed this automated thermal anomaly extraction approach, which is based on a moving window concept and statistic analysis within a sub-image based on raw thermal satellite data.…”

Geomorphology of coal seam fires

“…This strongly industrialized area hosts a well-known coal field, whose coal fires have been extensively studied by Bhattacharya et al (1991), Saraf et al (1995), Gupta (1998, 1999), Ghose and Majee (2002), Michalski (2004), Kuenzer (2005), Tripathi (2005), Agarwal et al (2006), Chatterjee (2006), Kuenzer et al (2007a), Singh et al (2007), and Kuenzer et al (2008a). Jharia is the largest coal field in India.…”

Visible and Infrared Remote Imaging of Hazardous Waste: A Review

“…Examples include the discovery and monitoring of underground fires at mines or landfills [115][116][117][118][119][120][121][122][123], the thermal characteristics of landfill processes [124,125], seeps or the release of leachate into the environment [126,127], or structural characteristics of landfill caps and other remediation methods [36,[128][129][130].…”