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Admission Open-2026

Google Earth Engine (GEE) Course

(1 Month)

Learn the fundamentals of Google Earth Engine for cloud-based satellite image processing, remote sensing, and geospatial analysis using JavaScript. Gain hands-on experience in land use mapping, vegetation analysis, time-series analysis, and environmental monitoring through real-world projects.

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      Course Highlights

      Course NameGoogle Earth Engine Certificate Course
      AffiliationAuthorised Training Center of ITT Council
      Duration 1 Month
      EligibilityGraduation /UG- Result Awaited
      Placement Assistance–
      Fee StructureRs. 15,000/- Rs. 10,000/- (*Limited Time Offer)
      Mode of TrainingOffline – Delhi / Online – Live Classes / Hybrid

      Course Curriculum

      1: Introduction to Google Earth Engine

      1. Introduction to Google Earth Engine (GEE)

      2. Creating a Google Earth Engine Account

      3. Overview of the GEE Code Editor Interface

      4. Basics of JavaScript Syntax for GEE

      5. Understanding Client vs Server Objects in GEE

      6. Importing and Exporting Raster and Vector Data in GEE

      2. Band Combinations and Image Processing

      7. Band Combinations Using Satellite Imagery

      8. Band Combinations Across Different Datasets

      3 Image Visualization in GEE

      9. Filtering Satellite Imagery

      10. Displaying and Visualizing Satellite Images

      4 Vegetation, Water, Snow & Urban Indices

      11. Calculating NDVI (Normalized Difference Vegetation Index)

      12. Calculating EVI (Enhanced Vegetation Index)

      13. Calculating NDWI (Normalized Difference Water Index)

      14. Calculating NDBI (Normalized Difference Built-up Index)

      15. Calculating NDSI (Normalized Difference Snow Index)

      16. Creating Time Series Charts for Indices

      5. Land Surface Temperature (LST) Analysis

      17. Calculating LST Using MODIS Dataset

      17. Calculating LST Using MODIS Dataset

      18. Creating Time Series Charts for LST Monitoring

      6. Air Quality Monitoring in GEE

      19. Calculating CO (Carbon Monoxide) Levels (mol/m²)

      20. Calculating NO₂ (Nitrogen Dioxide) Levels (mol/m²)

      21. Calculating SO₂ (Sulphur Dioxide) Levels (mol/m²)

      22. Calculating CH₄ (Methane) Levels (mol/m²)

      23. Generating Time Series Charts for Air Quality Parameters

      7: Digital Elevation Model (DEM) Analysis

      24. Generating Hillshade, Slope, and Aspect Maps

      25. Exporting Hillshade, Slope, and Aspect Maps

      8: Land Use Land Cover (LULC) Analysis

      26. Creating LULC Maps in GEE

      27. Performing Accuracy Assessment (Producer Accuracy, Kappa, etc.)

      28. Calculating Area for Each LULC Class