Welcome to the Machine Learning with Big Earth Data in Google Earth Engine course.

This Earth Engine course is without a doubt the most comprehensive course for anyone who wants to apply machine learning using satellite data. 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 2021-ready and you'll be learning the latest tools available on the cloud.

We've taught over 16,000 students how to code and apply spatial data science and cloud computing.

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

Sign Up with Earth Engine

Create training data for supervised classification

Import Landsat data

Remove clouds from satellite data

Run supervised classification (machine learning) algorithm

Calculate accuracy assessment

Download land cover classification data


The course includes HD video tutorials. We'll take you step-by-step through engaging video tutorials and teach you everything you need to know to apply remote sensing and cloud computing for forest monitoring applications.


So, what are you waiting for? Click the buy now button and join the course.

Course Curriculum


  Introduction
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  Earth Engine Cloud Computing
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  Downbload Landsat
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  Machine Learning - Unsupervised Classification (Clustering)
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  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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  Conclusion
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Start learning now.