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Predictive GIS model for potential mapping of Cu, Pb, Zn mineralization

Authors :
Bian Fuling
Tarik. B. Benomar
Source :
Geo-spatial Information Science. 9:151-156
Publication Year :
2006
Publisher :
Informa UK Limited, 2006.

Abstract

The geologic features indicative of Cu, Pb, Zn mineral deposits in a area are fractures (structure), and host rock sediments. Datasets used include Cu, Pb, Zn deposit points record, geological data, remote sensing imagery (Landsat TM5). The mineral potential of the study area is assessed by means of GIS based geodata integration techniques for generating predictive maps. GIS predictive model for Cu, Pb, Zn potential was carried out in this study area (Weixi) using weight of evidence.

Details

ISSN :
19935153 and 10095020
Volume :
9
Database :
OpenAIRE
Journal :
Geo-spatial Information Science
Accession number :
edsair.doi...........3ec76a150094a167d34b2507c8c75395
Full Text :
https://doi.org/10.1007/bf02826942