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Udemy

Google Earth Engine Mega Course: Remote Sensing Applications

via Udemy

Overview

Level up your traditional geospatial skills by harnessing the power of Google Earth Engine cloud computing and big data

What you'll learn:
  • Students will access and sign up the Google Earth Engine platform
  • Download, process and visualize various satellite data including Landsat, MODIS, Sentinel and VIIRS
  • Apply GIS techniques to process and analyze various vector data
  • Generate various visualizations including time series and histogram charts from remote sensing data
  • Export various vector data including KML and CSV files
  • Export images, charts and videos
  • Learn to perform various image processing including mosaiccing, compositing, zonal statistics, and neighborhood analysis
  • Classification of satellite data with Machine learning
  • Master JavaScript programming language to process Earth observations data
  • Complete a final GIS project on downloading, processing, analyzing and visualizing big data

Welcome to the Google Earth Engine Mega Course: Remote Sensing Applications. This course is one of the highest-rated courses and most comprehensive Google Earth Engine courses. 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 geospatial data scientist.

  • The course has been updated and you'll be learning the latest tools available on the cloud.

  • The curriculum was developed over five years, with comprehensive student testing and feedback.

  • The course is constantly updated with new content, with new projects, and modules.

  • 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

  • Explore Earth Engine

  • Sign Up with Earth Engine

  • Basic JavaScript Data Types

  • Earth Engine Objects

  • Client versus Server Side Objects

  • Image Visualization

  • Filtering Image Collection

  • Feature Collection

  • Clipping Images

  • Import and Export Images


This Google Earth Engine course includes high-resolution video tutorials, example scripts, and other learning resources to help you master the Earth Engine cloud computing platform for remote sensing data processing and analysis. We'll take you step-by-step through engaging video tutorials and teach you everything you need to know to succeed as a spatial data scientist and Google Earth Engine cloud computing expert.

Syllabus

  • Welcome
  • Introduction to Earth Engine API
  • Set Up Environment
  • Get Started with Google Earth Engine
  • Digital Image Processing
  • Export and Import Geospatial Data
  • Advanced Image Processing
  • Land Cover Classification
  • Drought Monitoring
  • Urban Mapping
  • Surface Water Mapping
  • Forest Monitoring
  • Air Pollution Monitoring
  • Earth Engine Apps
  • Final Project
  • Bonus Lectures

Taught by

Geospatial Training and Alemayehu Abebe

Reviews

4.2 rating at Udemy based on 570 ratings

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