Advanced Remote Sensing and GIS Techniques for the Mining Industry

About Course

This program is designed for professionals in the mining industry who have a basic understanding of remote sensing and GIS (e.g., completed the Fundamentals program or have equivalent experience). The program delves into advanced techniques for data analysis, integration, and resource estimation.

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Gain advanced skills in analyzing hyperspectral and LiDAR data for detailed geological information.
Learn to utilize UAV/Drone-based photogrammetry for data collection and integrate it with GIS workflows.
Develop expertise in creating and analyzing 3D models for mine planning and terrain analysis.
Master geostatistical methods for accurate resource estimation and informed mine planning decisions.
Enhance your ability to leverage cutting-edge geospatial

Course Content

Module 1: Hyperspectral Data Analysis

Introduction to hyperspectral remote sensing: Capturing detailed spectral information

00:00
Analysing hyperspectral data for mineral identification and mapping specific geological features.

00:00
Utilizing advanced spectral analysis techniques: Spectral unmixing, linear spectral mixture analysis.

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Participants analyse a real-world hyperspectral dataset to identify mineral signatures in a mining concession area

Module 2: Seeing Beyond the Surface: LiDAR Data Analysis

Module 3: Taking Flight: UAV/Drone-based Photogrammetry and GIS Integration

Module 4: Advanced Applications for Resource Management: 3D Modelling and Terrain Analysis

Module 5: Mapping the Uncertain: Introduction to Geostatistics

Module 6: Putting it All Together: Resource Estimation and Mine Planning Integration

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Advanced Remote Sensing and GIS Techniques for the Mining Industry

About Course

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Course Content

Module 1: Hyperspectral Data Analysis

Introduction to hyperspectral remote sensing: Capturing detailed spectral information

Analysing hyperspectral data for mineral identification and mapping specific geological features.

Utilizing advanced spectral analysis techniques: Spectral unmixing, linear spectral mixture analysis.

Participants analyse a real-world hyperspectral dataset to identify mineral signatures in a mining concession area

Module 2: Seeing Beyond the Surface: LiDAR Data Analysis

Understanding LiDAR technology and its capabilities for generating high-resolution 3D point clouds.

Processing and analysing LiDAR data for topographic mapping, stockpile volume estimation, and pit slope analysis.

Integrating LiDAR data with other geospatial data sources for comprehensive mine site analysis.

Participants utilize LiDAR software tools to extract topographic data and calculate stockpile volume from a sample dataset.

Module 3: Taking Flight: UAV/Drone-based Photogrammetry and GIS Integration

Introduction to UAV/Drone technology and its applications in data collection for mining projects.

Photogrammetry basics: Creating high-resolution orthomosaics and digital elevation models (DEMs) from drone imagery.

Integrating drone-based photogrammetry data with GIS software for enhanced spatial analysis capabilities.

Case Study: Examining how a mining company utilized UAV photogrammetry for detailed mine site mapping and stockpile monitoring.

Module 4: Advanced Applications for Resource Management: 3D Modelling and Terrain Analysis

Creating 3D geological models for improved visualization and understanding of subsurface structures.

Utilizing 3D terrain analysis tools for slope stability assessments and mine planning optimization.

Integrating LiDAR and other geospatial data sources for creating realistic and informative 3D mine models.

Participants create a basic 3D terrain model of a hypothetical mining area using GIS software

Module 5: Mapping the Uncertain: Introduction to Geostatistics

Understanding the fundamental principles of geostatistics for analysing spatial data related to mineral deposits.

Exploring geostatistical methods like variogram analysis and kriging for resource estimation and spatial prediction.

Applications of geostatistics in mining: Grade estimation, reserve calculation, and exploration target definition.

Module 6: Putting it All Together: Resource Estimation and Mine Planning Integration

Integrating advanced remote sensing, GIS, and geostatistical techniques for resource estimation.

Utilizing spatial data analysis to optimize mine planning decisions and maximize resource recovery.

Case Study: Analysing how a mining company implemented advanced geospatial technology for successful resource estimation and mine planning.

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