Description
Introduction
This intermediate course is designed for professionals with basic remote sensing knowledge, focusing on advanced mineral targeting and spectral analysis techniques. Participants will learn how to use multispectral and hyperspectral data to detect and classify minerals, focusing on phosphate, gold, and bauxite deposits.
Date
Day | Time | Price | Country |
|---|---|---|---|
Mon – Wed | 8:00 – 10:00 | $5/hrs | Turkey |
Tue – Thu | 18:00 – 19:00 | $5/hrs | Turkey |
Wed – Fri | 20:00 – 21:00 | $5/hrs | Turkey |
Sat – Sun | 18:00 – 19:00 20:00 – 21:00 | $8/hrs | Turkey |
This Training Course Will Highlight
- Advanced image processing techniques for mineral detection.
- Spectral unmixing and anomaly detection in mineral exploration.
- Integration of geophysical and geochemical data with remote sensing.
- AI and machine learning applications in remote sensing.
- Environmental monitoring and compliance using remote sensing.
Objectives
- Understand the fundamentals of remote sensing technology.
- Learn how to interpret satellite images for mineral exploration.
- Identify mineral alteration zones using remote sensing techniques.
- Gain basic knowledge of GIS applications in mineral targeting.
- Recognize the role of remote sensing in sustainable exploration.
Training Methodology
- Instructor-led presentations on remote sensing fundamentals.
- Basic satellite image interpretation using GIS software.
- Hands-on exercises in spectral data analysis.
- Remote sensing workflow discussions using case studies.
- Interactive map-based exercises on mineral exploration.
- Case Study Remote sensing analysis of a phosphate, gold, or bauxite deposit.
Organizational Impact
- Improves early-stage exploration efficiency through remote sensing.
- Reduces exploration costs by narrowing target areas.
- Enhances geological survey capabilities with remote sensing tools.
- Strengthens compliance with environmental regulations.
- Supports better decision-making in mineral prospecting.
Personal Impact
- Builds foundational knowledge in remote sensing applications.
- Improves skills in interpreting satellite images for geology.
- Increases confidence in using GIS tools for mineral exploration.
- Provides career advancement opportunities in exploration geology.
- Strengthens analytical thinking in mineral deposit evaluation.
Who Should Attend?
- Junior geologists and mining engineers.
- GIS specialists and remote sensing professionals.
- Environmental scientists working in mineral exploration.
- Government and regulatory agency staff overseeing mining projects.
- Undergraduate geology and mining students.
- Exploration consultants and technical staff in mining companies.
- Professionals transitioning into remote sensing applications in mining.
Course Outline
Day 1
Advanced Satellite Imaging and Spectral Analysis- Advanced interpretation of Landsat, Sentinel, and ASTER images.
- Spectral reflectance properties of key ore minerals.
- Hydrothermal alteration mapping techniques.
- Spectral unmixing for complex mineral assemblages.
- Machine learning applications for mineral classification.
- Spectral analysis of a gold-rich alteration zone.
Day 2
Multispectral and Hyperspectral Imaging Techniques- Introduction to hyperspectral imaging (HSI) in mineral exploration.
- Key hyperspectral sensors and their applications in mining.
- Band ratio techniques for mineral differentiation.
- Thermal infrared imaging for detecting buried mineral deposits.
- Case study: Application of HSI in phosphate exploration.
- Remote sensing-assisted drill targeting strategies.
Day 3
AI and Machine Learning in Remote Sensing- AI-based image classification techniques for exploration.
- Deep learning models for mineral prospectivity mapping.
- Big data analytics in satellite imagery processing.
- Cloud-based computing for remote sensing workflows.
- AI-powered exploration of a bauxite deposit.
- Ethical considerations and data privacy in AI applications.
Day 4
UAV and LiDAR for Mineral Exploration- Drone-based imaging for geological and structural mapping.
- LiDAR applications in mining: From exploration to reclamation.
- Case study: UAV-based exploration of a phosphate-rich area.
- 3D modeling and integration of LiDAR with remote sensing data.
- Geospatial analytics for mineral resource estimation.
- UAV and LiDAR applications in mining projects.
Day 5
Economic and Environmental Applications- Economic evaluation of remote sensing in mineral exploration.
- Remote sensing for ESG compliance and sustainability.
- Global regulations and policies for satellite data usage in mining.
- The role of remote sensing in community engagement and social responsibility.
Cancellation policy
no refund is accepted
Certificate
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