Geological Application of GIS/Remote Sensing
AtKorea Institutee of Geoscience and Mineral
Resources: KIGAM
(Mineral Potential Geo-hazardand
and landslide susceptibility)
Contents
Mineral Potential Models
Mineral potential applications
The Results
The Purpose
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The Purpose
Geological Application of GIS/Remote Sensing for Mineral Potential Map.
The purpose is to determine Mineral potentialarea. It is to assess the potential areas and to usemodel predicted mineral deposit. The method used
in comparative analysis and generated to show target
areas map for mineral exploration plan in detailed
stage.
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GIS tools for Mineral Potential Map
Importance of GIS in Mineral Potential Map
1. Given several layers of spatial geosciences information (in map form) in study area, by combining them for a specific purpose according to model, a map can be generated to show target areas for further investigation.
2. The ultimate purpose of most GIS projects is to combine spatial data (i.e., maps) from different sources, in order to describe and analyze interactions, make predictions with models, and to provide support to decision-makers.
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Mineral Potential Model
Definition of Mineral Potential is likelihood of containing mineral deposits.
In this model prediction of mineral potential using the techniques of remote perception, GIS, geochemical, and geological.The analysis based on the observed relationship between each mineral controlling factor and the location of past mineral occur rent. These factor was base on geochemical , geology and geophysics which is obtained from the calculation in GIS using the Extension in the Arc View program and statistic using the Frequency Ratio Analysis in Microsoft Excel. This analysis is probability of each factor in the mineral and it is opportunities mineral deposited by the factor analysis. The result cause is the sum of potential mineral every factors to present Mineral Potential Map.
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Generalized flowChart in GIS
1• Select factor related to mineral occurrence
2• Collect data (Geochemical fieldwork data and
published data like map and report) for the factor
3• Construct of database for the factor
4• Relation analysis for the factor and mineral
occurrence
5• Mineral potential mapping using the analysis of
application result6
Mineral potential applications(Main Structure)
Mathematical frameworks
pixel p
Deposit dataGeological dataGeophysical dataGeochemical data
Mineral potential map
Observed data(Field work)
Spatial DataLayers
(Preprocessed)
InformationRepresentation
Data Integration
Visualization&
Decision Making
Data collection
Data construction
A B
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(ArcView Program)
Spatial Data Layers(Preprocessed)
Geological
- Theme
>>Convert to grid
Structural
- Analysis
>>Find Distance
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(ArcView Program)
Spatial Data Layers(Preprocessed)
Geophysical data
- Theme
>>Convert to grid
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(ArcView Program)
Spatial Data Layers(Preprocessed)
Geochemical data(Au, As, …. Etc)
- Surface
>>Interpolate grid
Zn
Flowchart Mineral Potential mapping
Export the grid file as dbase except mineral occurrence location
Do tabulate analysis
Export the file into excel and perform Frequency Ratio Analysis
Reclassify the input data layer based on Frequency Ratio values
Overlay the reclassified layers to produce Mineral Potential map
InformationRepresentation
Data Integration
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Export the grid file as dbase except mineral occurrence location
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Relationships Analysis between Mineral occurrence and factors
Example
1. Add Mineral occurrence file
and geochemical (Au,
As,…,etc)
2. Select >> Analysis
>> Tabulate area
Relation Analysis between Mineral occurrence and factors
Example (cont.)
Export
1. Relation Table
(mineral occur +
Zn,…?..)
2. Geochemical Table
(Zn table,…?)
Export the grid file as dbase except mineral occurrence location
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Flowchart Mineral Potential mapping
Export the grid file as dbase except mineral occurrence location
Do tabulate analysis
Export the file into excel and perform Frequency Ratio Analysis
Reclassify the input data layer based on Frequency Ratio values
Overlay the reclassified layers to produce Mineral Potential map
InformationRepresentation
Data Integration
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Do tabulate analysis
Export the file into excel and perform Frequency Ratio Analysis
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Flowchart Mineral Potential mapping
Export the grid file as dbase except mineral occurrence location
Do tabulate analysis
Export the file into excel and perform Frequency Ratio Analysis
Reclassify the input data layer based on Frequency Ratio values
Overlay the reclassified layers to produce Mineral Potential map
InformationRepresentation
Data Integration
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Reclassify the input data layer based on Frequency Ratio values
-Analysis
>>Reclassify
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Flowchart Mineral Potential mapping
Export the grid file as dbase except mineral occurrence location
Do tabulate analysis
Export the file into excel and perform Frequency Ratio Analysis
Reclassify the input data layer based on Frequency Ratio values
Overlay the reclassified layers to produce Mineral Potential map
InformationRepresentation
Data Integration
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Overlay the reclassified layers to produce Mineral Potential map
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Analysis >>Map CalculatorConclusion
A B
Mineral Potential Map1) To overlay the
mineral occurrence map with the factors.
2) To perform the probability analysis and weighting.
3) To produce the mineral potential map.
Factors
The spatial data analysis and integration for mineral was divided into three steps:
Visualization&
Decision Making
The results are provided from Mineral Potential map is information guidance of a mineral deposition model then to support for
decision to mineral exploration plan in
detailed stage to determine mineral reserve.
Mineral Potential Map Results
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Thank You !
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