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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