Python for Earth Engine and Google Colab Crash Course

Learn python google colab, earth engine python api, remote sensing, spatial data analysis

Do you want to access satellite sensors using Earth Engine Python API and Google Colab?

What you’ll learn

  • Write your first python scripts using Google Colab.
  • Access and sign up the Google Earth Engine Python API.
  • Visualize satellite data on the Google cloud environment.

Course Content

  • Earth Engine Python API and Colab –> 3 lectures • 9min.
  • NLCD Land Cover Mapping –> 1 lecture • 7min.
  • Calculate NDVI –> 1 lecture • 11min.
  • Export Images –> 1 lecture • 9min.
  • Bonus Lecture –> 1 lecture • 1min.

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Requirements

  • This course has no requirements..

Do you want to access satellite sensors using Earth Engine Python API and Google Colab?

Do you want to learn the spatial data science on the cloud?

Do you want to become a geospatial data scientist?

 

In this Python for Earth Engine and Google Colab Crash Course, I will help you get up and running on the Earth Engine Python API and Google Colab. By the end of this course, you will have access to all example script and data such that you will be able to accessing, downloading, visualizing big data, and extracting information.

 

In this course we will cover the following topics:

  • Introduction to Earth Engine Python API and Colab
  • Set Up a Google Colab Environment
  • NLCD Data Visualization
  • Calculate NDVI
  • Export images and videos

One of the common problems with learning image processing is the high cost of software. In this course, I entirely use open source software including the Google Earth Engine Python API and Colab. All sample data and script will be provided to you as an added bonus throughout the course. Google Earth Engine Python API is a cloud computing platform for accessing and analyzing geospatial data at a global spatial sclae and over four decades of temporal scale.

 

Jump in right now and enroll.

 

Best,

Dr. Alemayehu Midekisa, PhD

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