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The Complete Google Earth Engine Python API & Colab Bootcamp

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The Complete Google Earth Engine Python API & Colab Bootcamp Udemy Coupon

The Complete Google Earth Engine Python API & Colab Bootcamp

Learn geospatial data science, remote sensing and cloud computing using the google earth engine python api and colab

Created by Dr. Alemayehu Midekisa | 7 hours on-demand video course

Welcome to the The Complete Google Earth Engine Python API and Colab Bootcamp, the only course you need to learn to code Python and become an Earth Engine cloud computing expert. Do you want to learn python and spatial data science on the cloud? Do you want to become a geospatial data scientist? At 7+ hours, this course is the most comprehensive Google Earth Engine Python API course available online. Even if you have zero python programming experience, this course will take you from beginner to mastery.

In this The Complete Google Earth Engine with Earth Engine Python API and Colab 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.

What you’ll learn

  • Learn to code Python on the Google Earth Engine Cloud API
  • Access and visualize satellite data in Earth Engine Python API
  • Access images and image collections from the Earth Engine API
  • Apply various machine learning algorithms on the Earth Engine Python API and Colab
  • Download, process and visualize various satellite data including Landsat, MODIS, Sentinel and VIIRS
  • Apply dpatial analysis techniques to process and analyze various vector data
  • Learn to perform various image processing including mosaiccing, compositing, zonal statistics, and neighborhood analysis
  • Export images, charts and videos
  • Master Python programming language to process Earth observations data
  • Apply remote sensing data for forest application
  • Apply remote sensing data for drought monitoring
  • Apply remote sensing data for crop monitoring
  • Apply remote sensing data for flood mapping

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