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Machine Learning with Earth Engine Python and Colab

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What you’ll learn

  • Create training data for supervised classification

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  • Remove clouds from satellite data

  • Run supervised classification algorithm

  • Calculate accuracy assessment

  • Download land cover classification

Requirements

  • This course has no requirements.

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 access to example data and sample scripts.

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.

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

Who this course is for:

  • Anyone who wants to learn cloud computing, machine learning and python using remote sensing data.

Lead Instructor & Geospatial Data Scientist

Dr. Alemayehu Midekisa, PhD is an applied remote sensing scientist with 15 plus years of expertise in big Earth observation data and various methods such as machine learning, time series analysis, deep learning, and cloud computing. He is proficient in different scripting languages including Python, JavaScript, R, and Google Earth Engine. He is a former NASA Earth and Space Science fellow. With global experience in USA, Europe and Africa, his research focus is in the application of multi-sensor remote sensing data utilizing Landsat, VIIRS, Sentinel 2, MODIS, GPM, and SMAP to answer complex environmental problems in land use, water resource, agriculture, and public health.

Learn Geospatial Data Science Skills!

Spatial eLearning provides online courses teaching remote sensing, GIS, machine learning, cloud computing and spatial data science skills. Our mission is to make highly valuable geospatial data science skills accessible and affordable to anyone and anywhere around the world. We teach 17,000 plus students in over 170 countries around the world. Spatial eLearning’s valuable learning resources include webinars, books, free tutorials, and online courses.

Machine Learning with Earth Engine Python and Colab, Free Tutorials Download

Download Machine Learning with Earth Engine Python and Colab Free Tutorials Direct Links

Go to Download Tutorials Page Go to HomePage Tutorials

Password : freetutsdownload.net

Author: Ho Quang Dai

I am Ho Quang Dai, from Vietnam – A country that loves peace. I share completely free courses from major academic websites around the world. Hope to bring free knowledge to everyone who can’t afford to buy


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