Google Earth Engine Mega Course: Remote Sensing Applications

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

Ratings 4.22 / 5.00
Google Earth Engine Mega Course: Remote Sensing Applications

What You Will 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

Description

Welcome to the Google Earth Engine Mega Course: Remote Sensing Applications, the only course you need to learn to code and become an Earth Engine expert. With a 4.5 average rating, this Earth Engine course is one of the highest-rated courses.

At 12+ hours, this Earth Engine course is without a doubt the most comprehensive Google Earth Engine course available online. 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 to be 2024-ready 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.

  • We've taught over 20,000 students how to code and apply spatial data science and cloud computing.

  • 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

  • Cloud Masking

  • Calculate Spectral Indices

  • Reducers

  • Zonal Statistics

  • Machine Learning Classification

  • Drought Monitoring

  • Urban Mapping

  • Surface Water Mapping

  • Forest Monitoring

  • Air Pollution Monitoring

  • Earth Engine Web Apps


The course includes over 12+ hours of HD video tutorials. 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 Earth Engine expert.


So, what are you waiting for? Enroll now and start learning!

Who Should Attend!

  • This course is meant for professionals who want to harness the power Google Earth Engine cloud computing platform.
  • People who want to understand various satellite image processing techniques.
  • Anyone who wants to learn spatial analysis on the cloud.
  • People who ware working with satellite remote sensing data such as Landsat, MODIS, Sentinel-2, and VIIRS.
  • Anyone who wants to apply for GIS or Remote Sensing Specialist job position.

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Tags

  • GIS
  • Spatial Analysis
  • Remote Sensing
  • Google Earth Engine

Subscribers

2687

Lectures

54

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