基于UAV与GIS的煤矿沉陷水域面积提取

Area Extraction of Coal Mine Subsidence Water Based on UAV and GIS

淮南矿区潜水位高,采煤沉陷水域面积呈逐年增加的趋势。提出无人机低空摄影联合GIS技术快速提取沉陷水域面积的方法,即利用无人机获取研究区影像,在对影像进行畸变校正、匀光和空三加密等处理后得到研究区正射影像图,结合ArcGIS软件准确提取研究区沉陷水域面积。并与同时期Sentinel-2号多光谱遥感所提取的沉陷水域面积进行对比分析,结果表明,无人机低空摄影获取的研究区沉陷水域面积48.97 km2,基于多光谱遥感影像提取的沉陷水域面积38.36 km2,联合无人机与GIS技术应用于矿区沉陷水域面积提取的方法,具有高效、高精度的特点,可为矿区水资源监测与综合利用提供技术支持。

Huainan mining area is a zone with high groundwater level, and the area of subsidence water is increasing year by year. The method of UAV combined with GIS is proposed to quickly extract area of subsided waters. The images are acquired based on UAV. The distortion correction, cloud light processing, and aerial triangulation are performed to produce orthophoto maps of the research area. The subsidence water area was accurately extracted by ArcGIS software, and compared with that extracted by Sentinel-2 multi-spectral images of the same period. The results show that the subsidence water area obtained by UAV is 48.97 km~2, and the subsidence water area extracted from multi-spectral remote sensing image is 38.36 km~2. Comprehensive analysis also indicates that the accuracy of UAV photography survey to obtain the area of subsided waters is high. The method combining UAV and GIS has improved the efficiency and accuracy of extraction of subsided waters, which has practical significance.