Remote Sensing Monitoring System of Land Coverage Change in Mining Area

Based on remote sensing images, the panoramic views of land coverage distribution across a large geographic area can be accessed conveniently. Remote sensing monitoring system of land coverage change in mining area, which is a complex information system based on spatial database to manage multi-source heterogeneous data, was proposed in this article. The system structure, function and development strategy were studied in this paper. Remote sensing image fusion and classification are the key technologies in this system. The remote sensing image fusion method which is based on multi-band wavelet was discussed. Based on remote sensing image, the Chaos Immune Algorithm was proposed to improve the accuracy of land coverage classification. The results showed that this system can integrate the multi-source heterogeneous spatial data, including remote sensing image, vector data and related properties data into the whole body, also demonstrate graphical visualization and analyze compositely. Copyright © 2013 IFSA.