
Identify towns within your study area in QGIS, assign names, and save them as a towns shapefile. Export with WGS84 coordinates for use in ArcGIS.
Identify anomalies in the potassium to rhodium ratio and ternary maps using QGIS, creating shapefile polygons to map hydrothermal alteration zones.
Reclassify the potassium-thorium data into three ranges, save as a TIFF raster, and apply color symbology to produce a reclassified potassium-thorium ratio map for mineralization potential.
Learn to extract the study area tmi from sheet 104, convert to x and y coordinates, and produce a finished arcgis tmi map with a 200 m grid.
Reclassify the analytical signal map for use in the weighted overlay via the analytical hierarchy process in ArcGIS.
Create a reclassified linear mean density map for the study area using spatial analyst tools, including resampling to 30 meters, three-class reclassification, and exporting for the analytical hierarchy process weighting.
This is a complete course video series on Integrated Aeromagnetic and Radiometric Data For Minerals Potential Mapping using Analytical Hierarchy Process (AHP).
The search for solid minerals is a global phenomenon, and many researchers have used different approaches and techniques at various locations to achieve their aims. Integrating results from multiple variables in mineral exploration can not be overlooked. The spatial forecast of mineral resources is crucial to effective exploration and resource management. Predictions can be made using a range of factors that affect the presence of minerals in a geologic setting
Therefore, determining the potential for mineralisation is a geospatial problem that can be solved using a variety of factors favourable for mineralisation. Mapping mineralisation potential is frontier work commonly completed during exploration projects to concentrate following exploration efforts on areas that show promise and where spending time and resources will provide the most exceptional results.
Critical models such as the analytical hierarchy process (AHP) in the framework of multicriteria decision analysis are appropriate instruments for mineral potential investigation in a frontier geologic setting. This research aims to map the mineral potential of parts of the northern Nigerian in an unbiased and reliable manner, taking AHP into account.
The study intends to lower systematic ambiguities and improve understanding of the underlying geological control of mineralisation by contrasting and evaluating the significance of each exploration criterion.