Monitoring and Analysis of Mine Geological Disasters of Liao Yuan Coal Mine in Hancheng City Based on Remote Sensing Technology

In this study,the primary source of data was satellite images of the Liaoyuan Coal Mine in Longmen Town,Hancheng City,collected over a period of three years（2013,2018,and 2022）.To supplement this data,30 m ALOS elevation data from within the mining area were also utilized.By analyzing these data,a remote sensing interpretation system for mining geological disasters in the study area was established based on image characteristics.The ArcGIS platform was employed to interpret geological disasters,including geocracks,ground collapses,sinkholes,landslides,and avalanches suspected to occur along the edge of the gully within the scope of the mining area.The results revealed the following:first,the number of geohazards in the study area was considerable,with a total of 42 landslides,ground collapses,and ground cracks;second,the occurrence of geohazards in the study area was closely linked to human engineering activities（mining activities）,topographical conditions of the area,geological background,and climatic conditions.The majority of the hazards were formed after 2013 and primarily occurred on slopes with angles between 15° and 30°,as well as between 30° and 45°.