Multi-source Remote Sensing Fusion Detection of Coal Fire in Eastern Urumchi

There are eight coal-fired areas in Xinjiang, and the growth rate of fire areas is fast and the number of hidden fire areas is increasing day by day. Therefore, the range of Xinjiang coal fire areas needs to be monitored more accurately and quickly. This paper is based on Time Series InSAR and thermal infrared technology. Firstly, the settlement and temperature information of the study area was obtained by PS timing method and universal single-channel algorithm. Then, the temperature anomaly area was obtained by setting a reasonable threshold and the inversion results of adjacent time were extracted for verification. Finally, the distribution of fire area was comprehensively analyzed by means of settlement and temperature information. The results show that this method can determine the distribution of suspected fire zones.