Google Earth Engine Mega Course: Remote Sensing Applications

• 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, 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!