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：2006
卷号：XXXVI Part 4
出版社：Copernicus Publications
摘要：A large amount of earth science data, collected by Geological Survey of India since its inception in 1851, has been brought to electronic media for storage, quick access, retrieval and analysis in GIS environment, through collaboration with the BRGM of France, starting in 1996. In the initial stage, 10 data domains were identified out of which five, viz. Map50,000, Geochemical Exploration, Mineral Exploration, Drilling and Coal were developed and implemented for preparing geospatial database on Oracle RDBMS platform. Subsequently, data pertaining to the remaining domains viz., Geophysics, Photo-geology & Remote Sensing, Rock Analysis, Natural Hazards, Glaciology, and Environment were developed and implemented. Further domains of Map250,000 and Palaeontology are under process of development. Unpublished geological reports, numbering over 30,000, containing text and graphic data, were converted into soft copy and put in a separate bibliographic database, querriable through 17 indexed fields. Multivariate analysis pertaining to Tons Valley base metal prospect was taken up. The data included topographic contours, geochemical, geophysical, landuse/ geology and lineaments. Geochemical data were available for copper, lead, zinc, nickel, cobalt and silver. Of these, geochemical data for copper only were utilized as one layer as it was showing anomalous distribution pattern. Geophysical data utilized were Chargeability (induced polarisation), Self-potential and Resistivity. The weightages for different themes were given after discussions with the mineral exploration team, working in the area. Different map layers were prepared with SYNCOMPO and superimposed in GIS environment. The results were draped on the Digital Elevation Model of the block. Two significant anomalies were obtained; one coincided with the known zone of mineralization while the second anomaly was recommended for drilling, which indicated mineralised zone in depth. The study proved efficacy of the multivariate analysis for mineral targeting using data layers in GIS environment
关键词：Oracle RDBMS; data domains; Geo-scientific database; bibliographic database; multi-criteria analysis; mineral ; targeting; softcopy conversion
