A time series decomposition approach to detect coal fires in parts of the Gondwana coalfields of India from VIIRS data

This paper proposes an algorithm to detect coal fires using time-series Land Surface Temperature (LST) maps generated from data acquired by a wide-swath Visible Infrared Imaging Radiometer Suite (VIIRS) satellite sensor. VIIRS provides remotely sensed thermal images daily during daytime and nighttime. The proposed primarily uses the trend component extracted at pixel level LST Seasonal Trend decomposition based on Loess (STL) model. is suitable for detecting regional scale. obtained results were validated with fire observations collected field survey.