The Giyani greenstone belt is situated in the Limpopo province of South Africa. All previous maps, field observations and available geo-data sets were integrated using image fusion to recognise lithological variations: Mafic and granitic rocks showed strong contrast in DEM. Single images of airborne radiometric data as well as composite maps of U showed very good correlations with lithology. Soil geochemistry data were interpolated, and principal components analysis was applied for major and trace elements, as well as ratio maps of geochemical data were used for interpretive bedrock mapping. All useful fused images were interpreted to compile a new bedrock map for follow-up fieldwork
The study area is located in the northern Limpopo Province of South Africa. The aim of the study was...
The study area is located in the northern Limpopo Province of South Africa. The aim of the study was...
We present a mineral systems approach to predictive mapping of orogenic gold prospectivity in the Gi...
The Giyani greenstone belt is situated in the Limpopo province of South Africa. All previous maps, f...
Previous exploration activities in the Giyani greenstone belt (GGB) were guided by the availability ...
Previous exploration activities in the Giyani greenstone belt (GGB) were guided by the availability ...
Previous exploration activities in the Giyani greenstone belt (GGB) were guided by the availability ...
Landsat MSS imagery from the wet and dry season, aeromagnetic coverage and regional gravity data, to...
This study involves the application, interpretation and utilization of regional geochemical data for...
This study involves the application, interpretation and utilization of regional geochemical data for...
A regional bedrock map provides a foundation from which to build geological interpretations. However...
A regional bedrock map provides a foundation from which to build geological interpretations. However...
Geographic Information Systems (GIS) used in concert with statistical and geostatistical software pr...
We present a mineral systems approach to predictive mapping of orogenic gold prospectivity in the Gi...
We present a mineral systems approach to predictive mapping of orogenic gold prospectivity in the Gi...
The study area is located in the northern Limpopo Province of South Africa. The aim of the study was...
The study area is located in the northern Limpopo Province of South Africa. The aim of the study was...
We present a mineral systems approach to predictive mapping of orogenic gold prospectivity in the Gi...
The Giyani greenstone belt is situated in the Limpopo province of South Africa. All previous maps, f...
Previous exploration activities in the Giyani greenstone belt (GGB) were guided by the availability ...
Previous exploration activities in the Giyani greenstone belt (GGB) were guided by the availability ...
Previous exploration activities in the Giyani greenstone belt (GGB) were guided by the availability ...
Landsat MSS imagery from the wet and dry season, aeromagnetic coverage and regional gravity data, to...
This study involves the application, interpretation and utilization of regional geochemical data for...
This study involves the application, interpretation and utilization of regional geochemical data for...
A regional bedrock map provides a foundation from which to build geological interpretations. However...
A regional bedrock map provides a foundation from which to build geological interpretations. However...
Geographic Information Systems (GIS) used in concert with statistical and geostatistical software pr...
We present a mineral systems approach to predictive mapping of orogenic gold prospectivity in the Gi...
We present a mineral systems approach to predictive mapping of orogenic gold prospectivity in the Gi...
The study area is located in the northern Limpopo Province of South Africa. The aim of the study was...
The study area is located in the northern Limpopo Province of South Africa. The aim of the study was...
We present a mineral systems approach to predictive mapping of orogenic gold prospectivity in the Gi...