Prediction methods for high-temperature risks in open-pit coal mines based on satellite remote sensing technology
CUI Junjian
Abstract：To effectively monitor and prevent the potential risks of coal seam self-ignition under high-temperature conditions in Zhonglian Runshi Open-pit Coal Mine,this article studies a new method for assessing high-temperature risks on the surface based on thermal infrared B10 band data from Landsat 8/9 satellites.By integrating image processing techniques such as histogram equalization and median filtering,the article improves extraction process of surface temperature data,enhances the usability of the data.Based on a high-temperature risk factor,the article carries out the high-temperature risk assessment on the mine's surface.The results show that the high-temperature risk assessment method based on the high-temperature risk factor can accurately evaluate the surface high-temperature risks in Zhonglian Runshi Open-pit Coal Mine,effectively revealing the distribution of high-temperature risk areas within the mine.This method demonstrates good practicality and cost-effectiveness,especially in extensive and complex mining scenarios,enabling large-scale,low-cost high-temperature risk assessments of the mining area.
Keywords：open-pit minesurface temperaturesatellitecoal fire disasterhigh-temperature risk factorrisk assessment
Publication Date：2025-06-15
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 18-21 )