3-Month Certificate Program
Remote Sensing & GIS Applications in Forestry
Duration: 3 Month | Classes: 3 per week | Mode: Online/Offline Hands-on
Module 1: Introduction to RS & GIS for Forestry
- Sub Module 1: Overview of Remote Sensing & GIS, Applications in Forestry
- Sub Module 2: Satellite Data Sources for Forest Monitoring (Sentinel, Landsat, MODIS)
- Sub Module 3: GIS Basics, Layers, Map Projections, Hands-on: Create Forest Boundaries
Learning Outcome: Understand RS & GIS concepts for forestry applications and prepare spatial datasets.
Module 2: Forest Cover Mapping & Vegetation Indices
- Sub Module 1: Image Preprocessing (Atmospheric & Geometric Correction)
- Sub Module 2: Vegetation Indices (NDVI, EVI, NDWI), Hands-on: Forest Health Assessment
- Sub Module 3: Canopy Density & Forest Health Monitoring
Learning Outcome: Compute vegetation indices and assess forest health and canopy cover.
Module 3: Forest Classification & Land Use Mapping
- Sub Module 1: Supervised & Unsupervised Classification, Hands-on: Forest Type Mapping
- Sub Module 2: Land Use / Land Cover Mapping in Forest Landscapes
- Sub Module 3: Accuracy Assessment & Reporting, Confusion Matrix Hands-on
Learning Outcome: Perform forest type classification, generate LULC maps, and validate results.
Module 4: Forest Monitoring & Resource Assessment
- Sub Module 1: Biomass & Carbon Stock Estimation using RS & GIS
- Sub Module 2: Deforestation & Forest Degradation Monitoring
- Sub Module 3: Fire Risk & Pest Infestation Mapping, Hands-on: Identify High-risk Areas
Learning Outcome: Monitor forest resources, assess degradation, and identify risk zones.
Module 5: Advanced Applications & Project Work
- Sub Module 1: Precision Forestry & Decision Support, Hands-on: Management Maps
- Sub Module 2: Integration of Multi-source RS Data, Spatial Analysis of Forest Health
- Sub Module 3: Project Presentation & Certification
Learning Outcome: Integrate RS & GIS techniques for forest management and present a mini-project.
Software Used: QGIS / ArcGIS / Google Earth Engine / SNAP
Data Sources: Sentinel-2, Landsat 8, MODIS
Assessment: Continuous Practical Evaluation + Final Project
Earn a Space Borne Certificate on Successful Completion!
