Machine Learning with Earth Engine Python and Colab - CouponED
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Machine Learning with Earth Engine Python and Colab

 

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Machine Learning with Earth Engine Python and Colab Become an expert in machine learning, python, big geospatial data & land use land cover in google earth engine

What you'll learn

  • Create training data for supervised classification
  • Import Landsat data
  • Remove clouds from satellite data
  • Run supervised classification algorithm
  • Calculate accuracy assessment
  • Download land cover classification

Requirements

  • This course has no requirements.

Description

Welcome to the Machine Learning with Earth Engine Python and Colab course.

This Earth Engine course is without a doubt the most comprehensive course for anyone who wants to apply machine learning in python 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 a

In this course we will cover the following topics:

  • Introduction to Earth Engine Python 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 application. 

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