Integrating remote and biogeochemical data: Analyzing the potential of gamma ray spectrometric data for mapping Cerrado vegetation types

Author(s):  
B.L.G. Castro ◽  
A.C. Carmelo
2007 ◽  
Author(s):  
Adriana Chatack Carmelo ◽  
Roberto A. Vitória de Moraes ◽  
Chris Busnello Fianco ◽  
Gustavo de Assunção Mello ◽  
Loiane Gomes de Moraes ◽  
...  

2015 ◽  
Vol 2015 (1) ◽  
pp. 1-4
Author(s):  
Brian Minty ◽  
Ross Brodie

2016 ◽  
Vol 47 (2) ◽  
pp. 150-157 ◽  
Author(s):  
Brian Minty ◽  
Ross Brodie

Geophysics ◽  
2012 ◽  
Vol 77 (4) ◽  
pp. K17-K24 ◽  
Author(s):  
Cleyton de Carvalho Carneiro ◽  
Stephen James Fraser ◽  
Alvaro Penteado Crósta ◽  
Adalene Moreira Silva ◽  
Carlos Eduardo de Mesquita Barros

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-Tuerê region. Particular emphasis was given to discriminating and identifying rock types, and the processes related to gold mineralization, which are known to occur in the Anapu-Tuerê 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.


2019 ◽  
Vol 49 (4) ◽  
pp. 459-478
Author(s):  
Jamal Asfahani

Abstract The available aerial gamma-ray spectrometric data of Ar-Rassafeh Badyieh area (Area-2) are used herein for geological interpretations and mapping purposes. Those data are interpreted by the concentration-number (C-N) fractal modelling technique, with the use of log-log graphs. According to C-N model, different radioactive ranges of TC, eU, eTh, and K have been isolated. Those ranges are thereafter used to characterize the lithological outcrops in the study area. The radioactive signatures of all the outcrops in Area-2 have been discussed and documented through establishing the C-N maps of TC, eU, eTh, and K, and benefiting of the available geological map. The C-N fractal modelling technique proves its efficacy, where radioactive and lithological boundaries of outcrops are in concordance. The case study presented in this paper shows the importance and the role of airborne gamma-ray spectrometric and fractal modelling techniques to support the geological mapping and the interpretations in geological context, particularly when the study region is rugged and difficult to be accessed.


2020 ◽  
Vol 9 (1) ◽  
pp. 155-167 ◽  
Author(s):  
Reda A. Y. El Qassas ◽  
M Salaheldin ◽  
S.M. Assran Assran ◽  
Th. Abdel Fattah ◽  
M.A. Rashed

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