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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Semiautomated geologic mapping using self-organizing maps and airborne geophysics in the Brazilian Amazon

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Author(s):
Carneiro, Cleyton de Carvalho [1] ; Fraser, Stephen James [2] ; Crosta, Alvaro Penteado [1] ; Silva, Adalene Moreira [3] ; de Mesquita Barros, Carlos Eduardo [4]
Total Authors: 5
Affiliation:
[1] Univ Estadual Campinas, Inst Geosci, Dept Geol & Nat Resources, Campinas, SP - Brazil
[2] CSIRO, Minerals Down Under Flagship, Kenmore, Qld - Australia
[3] Univ Brasilia UNB, Inst Geosci, Lab Appl Geophys, Brasilia, DF - Brazil
[4] Fed Univ Parana UFPR, Dept Geol, Curitiba, Parana - Brazil
Total Affiliations: 4
Document type: Journal article
Source: GEOPHYSICS; v. 77, n. 4, p. K17-K24, JUL-AUG 2012.
Web of Science Citations: 18
Abstract

A self-organizing map (SOM) approach has been used to provide an integrated spatial analysis and classification of airborne geophysical data collected over the Brazilian Amazon. Magnetic and gamma-ray spectrometric data were used to extract geophysical signatures related to the spatial distribution of rock types and to produce a geologic map over the prospective Anapu-Tuere region. Particular emphasis wars given to discriminating and identifying rock types, and the processes related to gold mineralization, which are known to occur in the Anapu-Tuere region. SOM was able to identify and map distinctive geophysical signatures related to the various geologic units identified on the published geologic map. Furthermore, SOM was able to identify and enhance very subtle signatures derived jointly from the magnetic and gamma ray spectrometric data that could be related to geologic processes present in the area. These results demonstrate the effectiveness of using SOM as a tool for geophysical data analysis and for semiautomated mapping in regions such as the Amazon. (AU)