The remote sensing recognition and extraction of waste dump in mining area using multi-source and multi-temporal remote sensing data

The long-term emissions and accumulation of tailings can occupy cultivated land and lead to environmental pollution. In the paper Jining Yanzhou mining of Shandong as an example, analyzed the spectral characteristics of tailings and typical surface features of their surroundings. And year-2006 Quickbird data as a reference combined with the ground survey points to identify the large-scale waste dumps using remote sensing, and based on which for multi-temporal CBERS-2 data to classify, and analyzed each temporal data, and analyzed the main interfering factors that affect the classification accuracy. Finally, take the intersection of multi-temporal data and extract accurate waste dump area. The result shows tailings extraction in remote sensing recognition using multi-source and multi-temporal data can do more accurate extraction and the results further for tailings management provide the basis for the investigation.