Detection and Identification of Surface Cover in Coalbed Methane Enrichment Area Based on Spectral Unmixing

Based on the existing geological data and a large amount of research data in the study area, the article compared and analyzed the difference in hyperspectral reflectance between the potential enrichment area and the reference area. The use of Sentinel-2 multispectral images has been investigated to construct the surface recognition model of coalbed methane enrichment areas from two aspects: vegetation covered area and bare areas. Firstly, semi-automatic endmember extraction is implemented by adopting a more pratical spectral un-mixing method. And the vegetation research area and min-eral research area are separated accordingly. In the vegetation research area, the rich red edge information of Sentinel-2 is used to construct an anomaly recognition model. While in bare soil areas, advanced information processing technology is used to extract weak mineral alteration anomalies. The re-sults are validated with field data.