Satellite Mapping for Mining Exploration and Site Monitoring Training Course

Course overview

Mining exploration and site-monitoring teams need defensible spatial evidence before committing drilling budgets, changing haul-road routes, reporting disturbance, or escalating geotechnical risks. Satellite imagery can reveal alteration patterns, structural controls, vegetation stress, surface-water change, tailings expansion, and unauthorised activity, but only when imagery is selected, corrected, interpreted, and validated against geological and operational data. This course helps participants turn multi-sensor imagery into map products that exploration managers, mine planners, environmental teams, and regulators can use with confidence.

Participants work through a mining-focused remote-sensing workflow using optical, radar, elevation, and time-series data. They learn to define an exploration or monitoring question; source Sentinel-2, Landsat, and SAR imagery; assess spatial, spectral, and temporal resolution; perform atmospheric and terrain correction; calculate band ratios and spectral indices; map lithological and hydrothermal alteration proxies; detect land-cover and surface-water change; and integrate imagery with drill collars, geology, concessions, roads, and infrastructure in GIS. Particular attention is given to accuracy assessment, field-validation planning, uncertainty statements, and the limits of satellite-derived interpretations.

Instructor demonstrations are followed by guided laboratory work in QGIS, ArcGIS Pro, ESA SNAP, and Google Earth Engine. Participants analyse a realistic mining-area dataset, compare image dates and sensors, build repeatable processing steps, and present findings as a decision-ready map package. Each participant leaves with a mining satellite-monitoring workflow, a documented map layout and analysis notebook, and an action plan for applying the methods to an active exploration target, operating mine, tailings facility, or closure site.

The course is designed for experienced GIS, geology, environmental, survey, and technical-services professionals who already work with spatial data and need stronger remote-sensing capability for mineral exploration or mine-site oversight.

Course objectives

By the end of this course, participants will be able to:

• Design a satellite-data acquisition plan matched to exploration targets, mine-site features, revisit requirements, and cloud conditions
• Evaluate Sentinel-2, Landsat, SAR, and elevation datasets by spectral bands, spatial resolution, temporal coverage, and operational limitations
• Pre-process optical and radar imagery using atmospheric correction, terrain correction, masking, compositing, and co-registration methods
• Generate band ratios, principal components, spectral indices, and false-colour composites for alteration and surface-feature interpretation
• Map structural lineaments, lithological boundaries, alteration proxies, and access constraints by integrating imagery with geological GIS layers
• Detect changes in pits, waste dumps, tailings footprints, vegetation cover, water bodies, and informal disturbance using time-series comparison
• Validate satellite interpretations with field observations, drill data, reference samples, confusion matrices, and uncertainty documentation
• Produce a decision-ready mining monitoring map package with metadata, methodology notes, findings, limitations, and recommended actions

Benefits of attending

Target competencies

Who should attend

• Exploration Geologists — who need to prioritise targets and connect satellite evidence with mapping, geochemistry, and drilling decisions
• Mining GIS Analysts — who manage spatial data and need repeatable imagery-processing workflows for operational and exploration teams
• Remote Sensing Specialists — who want mining-specific interpretation methods for alteration, disturbance, water, and infrastructure monitoring
• Environmental Managers — who monitor land disturbance, vegetation, water features, rehabilitation progress, and permit commitments
• Mine Planning and Technical Services Professionals — who require current spatial intelligence on pits, dumps, roads, stockpiles, and site expansion
• Geotechnical and Tailings Engineers — who need satellite-derived context for terrain movement screening, drainage changes, and facility monitoring

Requirements and prerequisites

Participants should be comfortable navigating GIS software, managing vector and raster layers, using coordinate reference systems, and interpreting basic map symbology. Prior experience with QGIS, ArcGIS Pro, or an equivalent desktop GIS is strongly recommended, along with working familiarity with mining geology, exploration datasets, environmental monitoring, or mine-site operations. Participants should understand basic spreadsheet data handling and be able to read technical maps. Programming, advanced mathematics, machine learning, and previous radar-processing experience are not required; Google Earth Engine exercises use guided scripts that are explained during the course.

Training methodology

The five days combine instructor-led technical briefings with structured software laboratories built around a mining exploration and site-monitoring case. Demonstrations show the reasoning behind sensor selection, corrections, indices, radar interpretation, and validation before participants reproduce the workflow on supplied datasets. Small groups compare competing interpretations of alteration, land disturbance, and tailings change, then defend their evidence and limitations. Daily outputs feed into an end-of-course map package and implementation plan for a participant-selected operational, exploration, or environmental monitoring use case.

Course outline

Day 1: Mining remote sensing strategy and data selection

• Mining exploration and site-monitoring questions suited to satellite analysis
• Electromagnetic spectrum concepts for minerals, vegetation, water, and disturbed ground
• Spatial, spectral, radiometric, and temporal resolution trade-offs
• Sentinel-2 and Landsat product selection for mining applications
• Synthetic aperture radar fundamentals for all-weather surface monitoring
• Coordinate reference systems, datums, and spatial alignment of mine datasets
• Data governance, licensing, metadata, and reproducibility for corporate GIS workflows

Workshop: Participants define a satellite-monitoring requirement for a supplied mining licence and produce a sensor-selection matrix with acquisition criteria.

Day 2: Image preparation and optical interpretation

• Atmospheric correction and surface-reflectance product selection
• Cloud, shadow, snow, and haze masking for multi-date analysis
• Image mosaicking, clipping, resampling, and co-registration in GIS
• True-colour, false-colour, and shortwave infrared composite construction
• Band ratios for iron oxides, clay minerals, ferrous minerals, and vegetation
• Principal component analysis and decorrelation stretch for spectral enhancement
• Topographic correction using digital elevation models in rugged terrain

Workshop: Participants prepare an analysis-ready optical image stack and produce annotated alteration-proxy and false-colour maps for a prospective area.

Day 3: Geological targeting and radar-based site interpretation

• Lineament extraction from optical imagery, hillshade, and directional filters
• Lithological boundary interpretation from multispectral signatures and terrain form
• Integrating regional geology, geochemistry, drill collars, and geophysical layers
• SAR backscatter, polarisation, incidence angle, and speckle considerations
• ESA SNAP workflows for SAR calibration, speckle filtering, and terrain correction
• Radar interpretation of roughness, moisture, drainage, and mine infrastructure
• Evidence ranking and field-validation design for satellite-derived targets

Workshop: Participants build a ranked target and verification map by combining alteration indicators, interpreted structures, terrain, and existing exploration data.

Day 4: Time-series monitoring of mine disturbance and environmental change

• Temporal compositing and image-date selection for seasonal comparability
• Change-detection methods using image differencing and classified comparisons
• NDVI, NDWI, NBR, and bare-ground indices for mine-site monitoring
• Pit, waste dump, stockpile, haul-road, and tailings footprint measurement
• Surface-water extent and drainage-change mapping around operational sites
• Google Earth Engine collection filtering and batch time-series processing
• Alert thresholds, false positives, and operational escalation rules

Workshop: Participants create a multi-date change map and area statistics dashboard for disturbance, water, and rehabilitation change at a mine site.

Day 5: Validation, reporting, and implementation

• Reference-data design using field observations, drone imagery, and survey records
• Accuracy assessment with confusion matrices, producer accuracy, and user accuracy
• Uncertainty communication for interpreted alteration and change products
• Cartographic design for exploration reviews, environmental reports, and management briefings
• Metadata, processing logs, version control, and audit-ready documentation
• Operational monitoring workflows, roles, refresh cycles, and quality-control checkpoints
• Ethical use, data security, and limitations of satellite evidence in mining decisions

Workshop: Participants complete and present a decision-ready map package containing validated findings, limitations, recommended verification actions, and an implementation schedule.

Tools & standards covered

QGIS, ArcGIS Pro, Google Earth Engine, ESA SNAP

A typical training day

Live online deliveries follow the same structure in the East Africa Time zone, with shorter screen blocks and longer breaks.

What the fee includes

How you can take this course

Certification

Participants who complete the full five days receive the Skillset Development Certificate of Completion, stating the course title, course code, dates and delivery format — suitable for professional-development records and employer reimbursement.

Frequently asked questions