Remote Sensing & GIS Course in Kerala — Live Online Training
Master ArcGIS, QGIS, Python for GIS and Google Earth Engine through real Kerala case studies — from the Vembanad backwaters to coastal mangrove belts and urban wetlands.
Course Snapshot
- Duration: 6–8 weeks, live online
- Tools: ArcGIS, QGIS, Google Earth Engine, Python
- Focus region: Kerala backwaters, coastline, forests
- Outcome: LULC maps, web maps, change-detection projects
- For: Students, researchers, planners, engineers
GIS & Remote Sensing Training Built Around Kerala's Landscape
Kerala's geography — backwaters, mangroves, paddy wetlands, laterite coasts and Western Ghats forests — makes it one of India's richest natural laboratories for geospatial learning. Space Borne's Kerala-focused Remote Sensing & GIS course uses Kerala's coastal and backwater belts as live case studies, teaching you to map, classify, and analyze real natural resources instead of generic textbook data.
Satellite Data Skills
Download and process Landsat 8/9 and Sentinel-2 imagery covering Kerala's coastal and backwater regions; learn band combinations and spectral indices (NDVI, NDWI, NDBI).
LULC Mapping
Classify Land Use / Land Cover for Kerala's coastal belt — water bodies, mangroves, built-up, paddy/wetland and vegetation classes — using supervised classification in QGIS & ArcGIS.
Web GIS with Leaflet
Build interactive web maps using Leaflet.js to publish Kerala's natural resource layers online — exactly like the live map below.
Natural Resources of Kerala
Kerala's coastal belt sits at the confluence of major river systems and the Vembanad backwater network, making it one of the most ecologically diverse regions in India. Course modules use the following resource zones for hands-on mapping exercises:
Vembanad Backwaters & Coastal Estuary
India's longest lake system, a Ramsar wetland site, mapped for water spread, hydrology and seasonal change detection.
Mangrove Belts (Mangalavanam, Puthuvype)
Urban mangrove forests classified using NDVI & NDWI composites to study coastal ecosystem health and degradation.
Kuttanad-influenced Paddy Wetlands
Below-sea-level paddy fields near the backwater fringe, used for crop-cycle and seasonal water-level mapping.
Coastal Sand Belts & Historic Shoreline
Shoreline change and erosion analysis using multi-date satellite imagery and DSAS-style techniques.
Urban Expansion Corridors
Built-up growth around Kerala's metro and IT corridors mapped for urban sprawl and land-use change studies.
Western Ghats Foothill Forests (Periyar Basin)
Upstream catchment forest cover analyzed for watershed and forest-resource monitoring exercises.
Live Leaflet Map — Kerala Natural Resource Zones
This interactive Leaflet.js map marks key natural resource zones across Kerala's coastal belt that students explore during the course. Click each marker for context.
Base map © OpenStreetMap contributors. Markers indicate illustrative locations of natural resource zones used in coursework.
Real LULC & NDVI Maps Produced by Space Borne
Below are genuine LULC and NDVI maps produced by Space Borne — real classified satellite outputs, not mock-ups — showing exactly the kind of deliverable you will learn to build during this course for your own Kerala study area.
Sample LULC Map — Kuchinda Block, Sambalpur District, Odisha (2005)
© Space Borne. Sample LULC output classified by Space Borne trainees from satellite imagery — built-up, agriculture, dense/open forest, water bodies and barren land. This is the kind of real classified deliverable you will learn to produce for your own chosen study area in Kerala during the course.
Sample NDVI Map — Kuchinda Block, Sambalpur District, Odisha (2024)
© Space Borne. Sample NDVI output showing vegetation-health gradients from sparse/stressed vegetation (pink, <0.15) to dense healthy cover (dark green, 0.28–0.41). Generated from real satellite band data using the same spectral-index workflow taught in this course.
Curriculum Overview
| Module | Topics Covered |
|---|---|
| 1. GIS Fundamentals | Coordinate systems, projections, vector & raster data, QGIS/ArcGIS interface |
| 2. Remote Sensing Basics | Electromagnetic spectrum, sensors, Landsat 8/9 & Sentinel-2 data download workflows |
| 3. Image Processing | Band combinations, atmospheric correction, spectral indices (NDVI, NDWI, NDBI) |
| 4. LULC Classification | Supervised & unsupervised classification of Kerala's backwater–urban interface |
| 5. Natural Resource Mapping | Mangrove mapping, wetland delineation, shoreline change detection |
| 6. Google Earth Engine | Cloud-based time-series analysis of Kerala's coastal & forest zones |
| 7. Web GIS Development | Building interactive Leaflet.js maps to publish natural resource layers online |
| 8. Capstone Project | End-to-end LULC & resource-mapping project on a Kerala study area of choice |
Frequently Asked Questions
What will I learn in the Remote Sensing & GIS course in Kerala?
QGIS, ArcGIS, Google Earth Engine, Python for GIS, satellite image interpretation, and LULC classification — all taught using Kerala's backwaters, mangroves, and coastal zones as live case studies.
Is the course online or offline?
Fully live online, so learners from Thiruvananthapuram, Kozhikode, Kochi, Thrissur, and anywhere in Kerala (or beyond) can join.
Who can enroll?
Students, researchers, and professionals in environmental science, civil engineering, urban planning, forestry, or geography — no prior GIS experience required.
Will I get a certificate?
Yes, Space Borne issues a course completion certificate, recognized for academic and professional use.