Data Repeatability of Remote Sensing Mineralized Alteration Mapping: A Case Study from Duolong Porphyry Copper Deposit, Tibet, China

As an important part of spatial data, remote sensing data also has the characteristic of uncertainty existing in data acquisition, data pre-processing, information extraction, information classification and information evaluation. To these characteristics, concepts of remote sensing mineralized alterations repeatability was put forward. Using Duolong porphyry copper deposit, Tibet as an example, data repeatability was discussed. Results show that the same sensor of remote sensing mineralized alterations were similar under circumstance of time phase which does not vary much, but the results will be partially different when the anomaly classes meets together.