Using DTM to Improve the Accuracy of Detecting Coal Fires with Thermal Infrared Images
应用DTM改善煤层自燃的热红外探测

Coal fire is a commonly existed disaster in coal fields of northen China, it burnt huge amount of coal resource. Firefighting is a long-term and tough job.Thermal infrared images of TM band 6 show us temperature information, which depends on solar radiance and ground heat. Based on remote sensing principle, this paper focuses on using DTM to improve the accuracy of detecting coal fires with thermal infrared images. On the resultant image thermal anomaly caused by coal fire is much clear, this is helpful for firefighting and dynamic monitoring. Junnan coal field was selected as a test area. Several pictures were displayed for the result.