Profiles of gamma-ray and magnetic data from aerial surveys over the conterminous United States

Data Series ◽  
10.3133/ds31 ◽  
1999 ◽  
Author(s):  
Joseph S. Duval ◽  
Frederic E. Riggle
Keyword(s):  
United States ◽  
Gamma Ray ◽  
Magnetic Data ◽  
Aerial Surveys

Terrestrial radioactivity and gamma-ray exposure in the United States and Canada

2005 ◽  
Author(s):  
Joseph S. Duval ◽  
John M. Carson ◽  
Peter B. Holman ◽  
Arthur G. Darnley
Keyword(s):  
United States ◽  
Gamma Ray ◽  
The United States

COMPUTER‐ASSISTED ANALYSIS TECHNIQUES FOR REMOTE SENSING DATA INTERPRETATION

Geophysics ◽  
1977 ◽  
Vol 42 (3) ◽  
pp. 468-481 ◽  
Author(s):  
Paul E. Anuta
Keyword(s):  
Gamma Ray ◽  
Remote Sensing Data ◽  
Data Interpretation ◽  
Magnetic Data ◽  
Computer Assisted ◽  
Data Sets ◽  
Visual Interpretation ◽  
Computer Based ◽  
Interpretation Process ◽  
Assisted Analysis

The development of airborne and satellite multispectral scanning radiometers has created widespread interest in the application of such sensors to mapping of earth resources. The energy sensed in each band can be used as a parameter in a computer‐based, multidimensional‐pattern‐recognition process to aid in the interpretation of the nature of elements in the scene. Images from each band can also be interpreted visually. Visual interpretation of 5 or 10 multispectral images simultaneously becomes impractical, especially as the area studied increases; hence, great emphasis has been placed on machine (computer‐assisted) techniques in the interpretation process. A number of other data sets have recently been studied and integrated by digital registration with the multispectral reflectance and radiance phenomena. Topographic data, which have been registered with four‐band Landsat multispectral scanner (MSS) data, are being studied to determine relationships between spectral and topographic variables. Geophysical variables. including gamma‐ray and magnetic data, have also been registered and studied using the multivariate analysis approach.

scholarly journals Magnetic and spectrometric studies of Al-Gor area, Southwestern Sinai, Egypt

2021 ◽  
Vol 51 (3) ◽  
pp. 207-223
Author(s):  
Mostafa A. M. ZAEIMAH
Keyword(s):  
Gamma Ray ◽  
Magnetic Anomalies ◽  
Magnetic Data ◽  
Magnetic Survey ◽  
Rock Types ◽  
Ore Minerals ◽  
Um Bogma Formation ◽  
Copper Zinc ◽  
Relationship Of ◽  
Southwestern Sinai

Al-Gor area is a part of Southwestern Sinai of Egypt. It is considered as one of the most promising areas for mineralization in Egypt, being rich in many mineral deposits of: manganese, iron, copper, zinc, lead, cobalt, nickel, silver, gibbsite, and uranium. Besides, some industrial ore minerals such as kaolin and glass sand,… etc. are also found in this area. The area was studied by Gama-ray spectrometry to trace the radioactive anomalies, their concentrations and their relationship to the existing rocks, and by magnetic survey to study the relationship of radioactive anomalies and their trends with the trends of geological structures. The gamma-ray spectrometric maps show different levels over the surveyed area, which reflect contrasting radioelement contents for the exposed various rock types. The highest radiospectrometric levels are located in the northwest southeast direction and some scattered parts all over the study area. They are mainly associated with Um-Bogma Formation, bearing gibbsite. The study area possesses radiospectrometric ranging between 0.6 and 110.9 Ur as a total-count, 0.1 to 1.8 % for K, 0.1 to 99 ppm for eU and 0.1 to 23 ppm for eTh. The qualitative analyses of magnetic data show the existences of a number of different magnetic anomalies, with different amplitudes and frequencies as well as trends. From the application of spectral analyses of magnetic data, the regional and residual depths of magnetic anomalies can be computed. The first depth represents the regional (deep-seated) anomalies, at about 75 m and the residual (shallow-seated) anomalies, at about 20 m. The trends of the structures as derived from the spectrometric and ratio maps correspond to those inferred from the residual-component magnetic map, which reflects the effect of structures on the concentration of radioactive elements and, consequently mineralization.

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