In the vegetation area, to extract mineralization information from remote sensing data is still great difficult at present. This paper, based on the theory of remote sensing biogeochemistry, introduces how to extract the abnormal information of structure, alteration and vegetation from multi-source remote sensing data. The gold prospective areas were successfully selected, and its reliability was tested and verified by field work. This provides a new way for solving the similar problem.
LI Bai-Shou,XING Li-Xin,PAN Jun, et al. OPTIMIZATION STUDY OF GOLD PROSPECT AREAS IN THE SOUTHERN OF HAINAN PROVENCE USING REMOTE SENSING INFORMATION[J]. REMOTE SENSING FOR LAND & RESOURCES,
1997, 9(4): 33-38,53.