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Dynamic monitoring of mineral resources region: a case study of Huludao, China

This paper discusses the use of remote sensing for monitoring mineral resources exploration and the environmental consequences in the mining environment. The study area is located in Huludao, China, which is one of the most important molybdenum mining regions in this country. Three-scale remotely sensed data are used in this study: 1)1:200000 scale remote sensing data, including TM/ETM, CBERS-02, and Beijing-1 for the identification of the mining regions; 2) 1:50000 scale remote sensing data (e.g., SPOT-5 image) for the interpretation of the mineral exploration regions; 3) 1:10000 scale remote sensing data (e.g., QUICKBIRD image) for the investigation of environmental consequences of mineral exploration, such as transgressed mining, land use, and pollutions. Different techniques are used to process the different scale of images. DEM data were used to improve the recognition of mineral resources exploitation sites from remotely sensed images, particularly help identify mining objects and calculate the area of the sites. In addition, the national mineral resources exploration and exploitation survey data were used to help identify whether the exploitation regions are legal or not.