Course Outline

Module 1: Introduction to GIS and Remote Sensing in Mining

• GIS and RS fundamentals

• Importance in mining lifecycle

• Software tools: ArcGIS, QGIS, SNAP

• Spatial data types and map projections
  Case Study: GIS adoption in African mineral exploration strategies

Module 2: Remote Sensing Basics for Mineral Exploration

• Electromagnetic spectrum and satellite sensors

• Resolution types and image interpretation

• Satellite platforms: Landsat, Sentinel, ASTER
  Real-Life Project: Sentinel-2 imagery analysis for geological mapping

Module 3: Image Preprocessing and Enhancement

• Atmospheric, geometric, and radiometric correction

• Band combinations, NDVI, PCA, and band ratios

• Detecting hydrothermal alteration
  Case Study: ASTER band ratio techniques for alteration zones in Peru

Module 4: GIS Data Management in Mining

• Creating, editing, and managing geospatial data

• Geodatabases and attribute data

• Digitizing geological layers
  Real-Life Project: Geological map digitization for a copper-gold belt

Module 5: Integration of GIS and RS Data for Exploration Targeting

• Combining geological, geophysical, and RS data

• Buffering, overlays, and spatial queries

• Building exploration workflows in GIS
  Case Study: GIS-based targeting for iron ore in Western Australia

Module 6: Mineral Prospectivity Mapping

• Spatial modeling techniques

• Boolean logic, fuzzy logic, AHP (Analytic Hierarchy Process)

• Creating prospectivity index maps
  Real-Life Project: Prospectivity modeling for gold exploration

Module 7: UAV (Drone) Data Acquisition and Application

• UAV platforms and sensors

• UAV survey planning and safety

• Photogrammetry and 3D modeling
  Case Study: UAV application for pit volume and slope monitoring

Module 8: Advanced GIS and RS Analysis

• Terrain modeling using DEMs

• Supervised and unsupervised classification

• Hands-on with ArcGIS/QGIS and SNAP
  Real-Life Project: Mineral anomaly detection using multi-source imagery

Module 9: Environmental Monitoring Using Remote Sensing

• Change detection and time-series analysis

• Monitoring vegetation (NDVI), water bodies, and mine waste

• Environmental compliance reporting
  Case Study: Remote sensing of deforestation near mining sites in South America

Module 10: Final Project and Evaluation

• Group or individual project using real or synthetic datasets

• Spatial analysis, mapping, and model creation

• Presentation of findings with peer review
  Capstone Project: Full GIS workflow for a hypothetical or real mineral exploration project