Geology & Mining Remote Sensing
Master lithological mapping, mineral exploration, mine monitoring, and geological hazard assessment using ASTER, SAR, Hyperspectral, Google Earth Engine, Python, and GeoAI — with Space Borne, India’s leading geospatial training institute.
Geology and mining have always demanded precise spatial knowledge. Today, satellite remote sensing delivers that knowledge at a scale, speed, and cost that no field programme alone can match — from lithological mapping across inaccessible terrain to real-time mine subsidence monitoring from space. Space Borne’s Geology & Mining Remote Sensing course is the most comprehensive geospatial training programme for earth science professionals in India.
Why Geology & Mining Remote Sensing Is a Critical Skill in 2025
India’s mineral sector is undergoing its fastest transformation in decades. The critical minerals mission, accelerated coal and iron ore production, the push for domestic lithium and rare earth exploration, and tightening environmental regulations on mine sites — all are creating unprecedented demand for professionals who can bridge geology, mining, and satellite data science.
Globally, every major mining company and geological survey uses satellite-based mapping as the first stage of exploration and monitoring. ASTER mineral mapping, SAR-based subsidence detection, hyperspectral lithological classification, and GeoAI prospectivity modelling are no longer specialist research tools — they are standard industry practice. India’s Geological Survey (GSI), Mineral Exploration Corporation (MECL), Coal India, NMDC, Vedanta, Adani Mining, and dozens of exploration companies are all actively hiring professionals who master these techniques.
⛏ India’s Mineral Sector Needs Remote Sensing Professionals — Now
India’s National Mineral Policy and the Critical Minerals Mission have committed to massively scaling up domestic mineral exploration. GSI’s National Geochemical Mapping Programme, MECL’s targeted drilling campaigns, and state mining departments’ environmental monitoring mandates all require GIS and remote sensing expertise that the country does not yet have in sufficient numbers. Space Borne’s Geology & Mining course is designed to produce exactly these professionals.
Applications of Remote Sensing in Geology & Mining
Geological remote sensing is one of the most technically rich domains in the entire geospatial field — spanning passive optical, active SAR, thermal, and hyperspectral sensors across the exploration-to-remediation lifecycle:
Lithological Mapping
Identifying and mapping rock types using ASTER SWIR and TIR bands, Landsat OLI band ratios, and hyperspectral spectral matching techniques.
Mineral Alteration Mapping
Detecting hydrothermal alteration zones — argillic, propylitic, phyllic, and potassic — that are primary indicators for gold, copper, and porphyry deposits.
SAR Mine Subsidence
InSAR and DInSAR Sentinel-1 analysis for detecting millimetre-scale ground deformation over active underground mines, coal seam fires, and tailings dams.
Mine Site Change Detection
Tracking pit expansion, waste dump growth, tailings pond extension, and land disturbance using multi-temporal Sentinel-2 and Landsat time-series analysis.
Environmental Impact Monitoring
Detecting acid mine drainage discolouration, revegetation failure, dust plume extent, and downstream water quality impacts using spectral indices and SAR.
GeoAI Prospectivity Modelling
Machine learning and deep learning models that integrate geological, geophysical, geochemical, and remote sensing layers to predict mineral prospectivity across large areas.
Who Should Take This Course
This course is designed for anyone working at the intersection of earth sciences and spatial data. You do not need to be an expert in both — a strong background in one, combined with the training Space Borne provides, is all it takes to excel:
- Geology students and postgraduates from BSc, MSc, and MTech programmes seeking to add satellite-based mapping and Python scripting to their skill set
- Exploration geologists in mining and oil & gas companies wanting to integrate remote sensing into prospecting and target generation workflows
- Mining engineers responsible for environmental compliance, slope stability monitoring, and site closure planning who need satellite-based monitoring tools
- Government geologists at GSI, MECL, IBM, MOIL, NMDC and state geological departments wanting to modernise their mapping capabilities
- Environmental scientists working in post-mining reclamation, EIA preparation, and regulatory compliance for mining projects
- GIS professionals in mining companies looking to expand from basic GIS into remote sensing, SAR analysis, and geological spectral mapping
- Researchers in earth sciences at universities and institutes who need satellite data analysis skills for their geomorphology, geohazard, or mineral studies
- Coal India, SCCL, CIL subsidiary geologists needing SAR-based subsidence and fire monitoring capabilities for operational coal fields
Key Geological Band Ratios & Spectral Indices
Geological remote sensing uses carefully designed band ratio combinations — especially from ASTER and Landsat — to discriminate rock types and alteration minerals that are spectrally distinct but visually similar. Space Borne’s course covers all of the following in full practical depth:
| Index / Ratio | Formula | Target Feature | Sensor |
|---|---|---|---|
| Iron Oxide Ratio | Band3 / Band1 | Iron oxides, limonite, gossans — pathfinders for metallic deposits | Landsat OLI |
| Ferric Iron | Band4 / Band2 | Ferric iron alteration, hematite, siderite in hydrothermal zones | Landsat TM |
| Clay Mineral Ratio | ASTER B5 / B6 | Argillic alteration — kaolinite, illite, montmorillonite — gold/copper pathfinder | ASTER SWIR |
| Carbonate Index | ASTER (B7+B9) / B8 | Carbonate minerals — calcite, dolomite — skarn and epithermal settings | ASTER SWIR |
| Silica Index | ASTER B11 / B10 | Silica-rich lithologies, silicification halos around intrusions and veins | ASTER TIR |
| Gossan / Ferruginous | ASTER (B2+B4) / B3 | Gossanous outcrops — oxidised expressions of sulphide ore zones | ASTER VNIR |
| Alunite Index | ASTER (B5+B7) / B6 | Alunite and advanced argillic alteration in high-sulphidation epithermal systems | ASTER SWIR |
| NDVI (Geology) | (NIR – RED) / (NIR + RED) | Inverse — bare rock and low-vegetation zones indicating outcrop availability | Sentinel-2 / Landsat |
| InSAR Displacement | Phase difference (SAR pairs) | Ground subsidence, heave, and deformation over mines and subsurface workings | Sentinel-1 SAR |
Course Modules — Six Specialist Tracks
Space Borne’s Geology & Mining Remote Sensing course is structured into six focused modules, taking you from spectral basics to GeoAI-powered prospectivity modelling. Each module is grounded in real Indian geological datasets — Deccan Traps, Eastern Ghats mineral belt, Rajasthan, Jharkhand, and Odisha mining districts.
Foundations of Geological Remote Sensing
4 weeks · Beginner- Electromagnetic spectrum and rock/mineral spectral signatures
- Passive optical, thermal infrared (TIR), and SAR sensor principles
- ASTER sensor overview — VNIR, SWIR, and TIR subsystems
- Landsat 8/9 OLI/TIRS band characteristics for geology
- Image pre-processing — atmospheric, radiometric, and geometric correction
- GIS fundamentals for geological mapping — projections, digitization, and attribute management
Lithological & Structural Mapping
5 weeks · Intermediate- ASTER SWIR band ratio combinations for mineral and rock discrimination
- Landsat band ratios — iron oxide, clay, carbonate, and ferric iron indices
- Principal Component Analysis (PCA) for geological image enhancement
- Structural geology mapping — lineament extraction from DEM and SAR
- Fault, fold, and fracture interpretation from satellite data
- Supervised and unsupervised classification for lithological mapping
- Case study: lithological mapping in the Eastern Ghats mineral belt
Mineral Exploration & Alteration Mapping
5 weeks · Intermediate–Advanced- Hydrothermal alteration zones — argillic, propylitic, phyllic, potassic
- ASTER-based alteration mapping for gold, copper, and porphyry targets
- Hyperspectral data — Hyperion, DESIS, PRISMA — for advanced mineral ID
- Spectral angle mapper (SAM) and spectral library matching (USGS Splib)
- Gossan and ferruginous zone detection for sulphide deposit exploration
- Integrating geophysics, geochemistry, and remote sensing in GIS
- Case study: copper-gold porphyry targeting in Rajasthan Aravalli belt
Mine Site Monitoring & Environmental Impact
4 weeks · Intermediate- Multi-temporal Sentinel-2 and Landsat for mine pit and waste dump change detection
- Sentinel-1 SAR for tailings pond monitoring and reclamation tracking
- DInSAR and PS-InSAR for underground mine subsidence — Jharia coal field case study
- Acid mine drainage detection using spectral water quality indices
- Dust plume and air quality monitoring using MODIS and Sentinel-5P
- Revegetation and land reclamation progress monitoring with NDVI time-series
- EIA support GIS — baseline mapping and impact zone delineation
Python for Geological Remote Sensing
5 weeks · Intermediate–Advanced- Python from basics — NumPy, Pandas, and Matplotlib for geological data
- GDAL and Rasterio for ASTER, Landsat, and Sentinel raster processing
- Spectral Python (SPy) for hyperspectral cube analysis and mineral library matching
- Automated band ratio computation and mineral index mapping pipelines
- GeoPandas and Shapely for structural geology vector analysis
- SAR processing with SNAP Python API — coherence, backscatter, InSAR
- Google Earth Engine Python API for large-area geological time-series
GeoAI for Mineral Prospectivity & Hazard
5 weeks · Advanced- Machine learning for mineral prospectivity modelling — Random Forest, SVM, Gradient Boosting
- Deep learning for lithological classification — CNNs on multispectral satellite images
- Multi-evidence integration — geophysics, geochemistry, geology, and RS in a single ML model
- Geological hazard mapping — landslide susceptibility, subsidence risk, and slope stability
- Transfer learning for geological image segmentation with limited labelled data
- Explainability in GeoAI models — SHAP values for feature importance in mineral targeting
- Capstone project: prospectivity map for a real Indian mineral belt
Tools & Technologies Covered
Space Borne’s Geology & Mining course gives you hands-on experience with every major platform used by professional exploration geologists, mining engineers, and geological survey organisations across India and globally:
Satellite Datasets for Geology & Mining
Different geological challenges demand different sensors. Space Borne’s course gives you mastery of the right satellite for each application — a critical skill that separates competent practitioners from true experts:
| Satellite / Sensor | Key Bands / Mode | Primary Geological Use | Spatial Resolution |
|---|---|---|---|
| ASTER | VNIR (3 bands), SWIR (6 bands), TIR (5 bands) | Lithological mapping, mineral alteration, hydrothermal alteration zones, silica mapping | 15–90 m |
| Landsat 8/9 OLI | Bands 1–7 + TIRS thermal | Iron oxide, clay, carbonate band ratios; geological structural mapping; thermal anomalies | 15–30 m |
| Sentinel-1 SAR | C-band VV/VH IW/SM | InSAR mine subsidence, tailings dam monitoring, slope deformation, coal fire detection | 5–20 m |
| Sentinel-2 MSI | 13 bands incl. red-edge and SWIR | Mine change detection, vegetation stress over mine sites, land use change around pits | 10–60 m |
| Hyperion (EO-1) | 220 hyperspectral bands (400–2500 nm) | Detailed mineral identification, spectral library matching, alteration mineral zonation | 30 m |
| DESIS / PRISMA | 235 bands (400–1000 nm) | Urban-area mineral mapping, new-generation hyperspectral geological mapping | 30 m |
| SRTM / ALOS DEM | C-band / L-band interferometry | Structural geology (lineaments, folds), watershed and drainage basin analysis, slope stability | 30 m / 12.5 m |
| MODIS Terra/Aqua | 36 bands, daily coverage | Coal seam fire detection (thermal), large-area dust and smoke monitoring around mines | 250 m–1 km |
Career Opportunities in Geological Remote Sensing
Geology and Mining Remote Sensing skills open doors across a uniquely broad range of employers — from India’s prestigious government geological organisations to multinational mining companies, environmental consultancies, and geospatial technology firms:
🌏 India’s Critical Minerals Mission — The Timing Could Not Be Better
India’s 2024 Critical Minerals Mission identifies 30 critical minerals — lithium, cobalt, nickel, REEs, graphite, and more — that are essential for EVs, defence, and clean energy. The government has mandated accelerated domestic exploration, creating an immediate surge in demand for remote sensing specialists who can rapidly identify and map new mineral targets across India’s vast under-explored terrain. Space Borne graduates are positioned to be at the forefront of this national priority programme.
I completed my MSc Geology from Presidency University Kolkata and had strong field skills but no satellite data experience. Space Borne’s Geology Remote Sensing course was a revelation — the ASTER alteration mapping module applied to the Chitradurga schist belt and the InSAR subsidence analysis of the Jharia coalfield were exactly the kind of work GSI does. I was selected as a Young Geoscientist Fellow within five months. The course gave me a completely new dimension to my geology career.
— Ritesh Banerjee, Young Geoscientist Fellow, (Space Borne Alumnus, 2024)Frequently Asked Questions
Enroll in India’s Most Comprehensive Geology & Mining Remote Sensing Course
Whether you are a geology graduate wanting to work at satellite scale, a mining engineer needing modern monitoring tools, a government geologist modernising your survey capabilities, or a GIS professional wanting to specialise in India’s fastest-growing earth science sector — this course is built for you.
Space Borne’s Geology & Mining Remote Sensing programme is delivered live online, available to students anywhere in India, and grounded in the real rock formations, real mineral belts, and real monitoring challenges of Indian geology. The Earth’s crust holds its secrets in spectra. Learn to read them.
📞 Contact Space Borne — Enroll Today
Call / WhatsApp: +91-8895209346 | Email: info@spaceborne.in | Website: www.spaceborne.in
Ask about individual module enrolment, full programme discounts, group / institutional rates, and current batch schedules. Limited seats per batch.
The Earth’s Crust Holds
Its Secrets in Spectra.
Join geologists, mining engineers, and earth science researchers across India mastering satellite-based mineral mapping and mine monitoring with Space Borne. Enroll in the Geology & Mining Remote Sensing course today.
