Mineralization information extraction of metal mining area based on Landsat images

Remote sensing technology can quickly identify hydro thermal alteration related to mineralization and provide help for prospecting through efficient and accurate analysis. In this study, the Zhaoping fault zone is taken as the research area, Landsat8 OLI remote sensing images with good imaging quality are used as the data source, and ENVI software is used to perform pruning, radiometric calibration, atmospheric correction, and preprocessing of removing interference information including water and vegetation from remote sensing images in 2015 and 2020 respectively. The mineralized alteration information of this area is extracted by CROSTA method, and the extracted thematic information is analyzed and verified. In addition, by comparing the extraction maps of mineralization information in 2015 and 2020, it is found that the situation of over exploitation of mineral resources still exists. The results are in good agreement with the known ore points in the study area, indicating that the extraction of metal mineralization information through remote sensing images is of great significance to the study and rational utilization of mineral resources.