Welcome to the Google Earth Engine Mega Course: Remote Sensing & GIS, the only course you need to learn to code and become an Earth Engine expert. With a 4.8 average rating, my Earth Engine course is one of the HIGHEST RATED courses.

At 12+ hours, this Earth Engine course is without a doubt the most comprehensive Google Earth Engine course available online. Even if you have zero programming experience, this course will take you from beginner to mastery.


Here's why:

  • The course is taught by an experienced spatial data scientist and former NASA fellow.
  • The course has been updated to be 2023-ready and you'll be learning the latest tools available on the cloud.
  • The curriculum was developed over a period of four years, with comprehensive student testing and feedback.
  • We've taught over 20,000 students how to code and apply spatial data science and cloud computing.
  • The course is constantly updated with new content, with new projects, and modules.
  • You will have access to example data and sample scripts.


In this course, we will cover the following topics:

  • Introduction to Earth Engine JavaScript API
  • Explore Earth Engine
  • Sign Up with Earth Engine
  • Basic JavaScript Syntax
  • Sources of Earth Observation Data
  • Landsat Image Visualization
  • Mathematical Operations with Images
  • Image Collection Metadata
  • Filtering Image Collection
  • Mapping Image Collection
  • Reducing Image Collections
  • Earth Engine Feature Collections
  • Earth Engine Geometries
  • Geometric Operations
  • Mapping Feature Collections
  • Reducing Feature Collections
  • Raster to Vector Conversion
  • Vector to Raster Conversion
  • Time Series Charts
  • Histograms
  • Export Images
  • Image compositing
  • Image convolutions
  • Image mosaicing
  • Satellite data summary
  • Remote sensing for land cover mapping
  • Remote sensing for water resources
  • Remote sensing for forest mapping
  • Machine learning with satellite data

The course includes over 12 hours of HD video tutorials. We'll take you step-by-step through engaging video tutorials and teach you everything you need to know to succeed as a spatial data scientist and Earth Engine expert.

So, what are you waiting for? Enroll now and start learning.

Course Curriculum


  Explore Earth Engine API
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  Earth Engine Code Editor
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  Images
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  Geospatial Data Sources
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  Image Collections
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  Vector Calculations
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  Explore Reducers
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  Visualization of Geospatial Data
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  Export Geospatial Data
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  Digital Image Processing
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  Satellite Data Summary
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  Land Use Land Cover Products
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  Water Resources Application
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  Public Health Application: Human Population
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  Public Health Application: Forest Fire Mapping
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  Public Health Application: Air Pollution
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  Forest Application: Global Forest Cover Mapping
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  Forest Application: National Forest Cover Mapping
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  Forest Application: Other Forest Indices
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  Machine Learning: Unsupervised Classification
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  Machine Learning: Training Data
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  Machine Learning: Supervised Classification (CART)
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  Machine Learning: Supervised Classification (Random Forest)
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  Final Project
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Start learning now.