期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2000
卷号：XXXIII Part B7(/1-4)
页码：1178-1184
出版社：Copernicus Publications
摘要：A predictive model for mineral potential mapping based on fuzzy set theory is described. It is tested in the south-central part of the Aravalli province (western India), which hosts a number of conformable sediment-hosted basemetal deposits. Recognition criteria for basemetal mineralisation were identified on the basis of published work on metallogenesis in Aravalli province. A regional GIS was then established in ArcView GIS software using several public-domain geodata sets. These were reviewed, processed, reclassified and gridded to generate multi-class lithological, stratigraphic, structural, magnetic and lineament-density maps. Weights were assigned to each evidential map, and also to each class of the maps, on the basis of their significance as guides to the occurrence of basemetal mineralisation. These were used to calculate fuzzy membership values for all classes. The values thus determined were combined using fuzzy algebraic sum and fuzzy algebraic product operators to generate basemetal favourability maps for the province. It was observed that the fuzzy algebraic sum operator gives excessive areas of high favourability, while the fuzzy algebraic product operator tends to diminish favourability. The values obtained from these operations were therefore combined using fuzzy gamma operators to generate final favourability maps. Known basemetal occurrences were overlaid on the favourability maps to validate the procedure. It was found that most of the known mineral occurrences correlate with areas of high-predicted favourability, although there are several areas of high favourability that do not have any mineral occurrences. Work is continuing to check whether such areas genuinely represent areas warranting further exploration, or whether the modelling techniques used need further refinement
