3-Month Certificate Program

Remote Sensing & GIS Applications in Agriculture

Duration: 3 Months | Classes: 3 per week | Mode: Online/Offline Hands-on


Module 1: Introduction to RS & GIS for Agriculture

  • Sub Module 1: Overview of Remote Sensing & GIS, Case Studies in Agriculture
  • Sub Module 2: Satellite Data Sources (Sentinel, Landsat, MODIS), Hands-on: Downloading Imagery
  • Sub Module 3: GIS Basics, Layers & Map Projections, Hands-on: Create Farm Boundary Layer

Learning Outcome: Understand RS & GIS concepts and prepare satellite imagery for analysis.

Module 2: Image Processing & Vegetation Indices

  • Sub Module 1: Image Preprocessing (Atmospheric & Geometric Correction)
  • Sub Module 2: Vegetation Indices (NDVI, EVI, SAVI, NDWI), Hands-on: NDVI Calculation
  • Sub Module 3: Crop Health Assessment using NDVI/EVI, Hands-on Map Visualization

Learning Outcome: Compute and interpret vegetation indices to assess crop health.

Module 3: Crop Classification & Land Use Mapping

  • Sub Module 1: Supervised & Unsupervised Classification, Hands-on: Crop Classification
  • Sub Module 2: Land Use/Land Cover Mapping for Farmland
  • Sub Module 3: Accuracy Assessment & Reporting, Confusion Matrix Hands-on

Learning Outcome: Perform crop classification, generate LULC maps, and validate results.

Module 4: GIS-based Agriculture Applications

  • Sub Module 1: Soil & Water Resource Mapping, Hands-on: Soil Layer Creation
  • Sub Module 2: Crop Yield Estimation using RS Models
  • Sub Module 3: Pest & Disease Monitoring, Hands-on: Identify Crop Stress Areas

Learning Outcome: Apply GIS for soil, water, crop yield, and pest/disease monitoring.

Module 5: Advanced Applications & Project Work

  • Sub Module 1: Precision Agriculture & Decision Support, Hands-on: Prescription Maps
  • Sub Module 2: Integration of RS Datasets, Hands-on: Spatial Analysis of Crop Growth
  • Sub Module 3: Project Presentation & Certification

Learning Outcome: Integrate RS & GIS techniques for agricultural decision-making 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!

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