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Keep shoppingGoogle Earth Engine for Remote Sensing: From Zero to Expert
1,312 students
Google Earth Engine for Remote Sensing: From Zero to Expert
Cloud-based spatial analysis, JavaScript, image processing & Machine Learning for Remote Sensing in Google Earth Engine
Created byKatie Alison, Georg Müller
Last updated 6/2026
English
What you'll learn
- Students will gain access to and a thorough knowledge of the Google Earth Engine platform
- Get introduced and advance JavaScript skills on Google Earth Engine platform
- Learn how to obtain satellite data, apply image preprocessing for Landsat and Sentinel data in in Google Earth Engine
- Learn how import and export spatial data (vector and rsater) from / into the platform
- Run analyisis for geospatial applications on the cloud
- You'll have a copy of the codes used in the course for your reference
- Learn how to calculate spectral indices, create maximim composites and work with Big data on cloud
- Apply geospatial analysis for real practical example: flood mapping with Sentinel 2 images
- Learn image classification (land cover mapping) basics in Earth Engine
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Course content
9 sections • 43 lectures • 5h 39m total length
Requirements
- An interest in working with geospatial data
- A working computer with internet connection
Description
Google Earth Engine for Remote Sensing: From Zero to Hero
This course provides a complete and accessible introduction to Google Earth Engine (GEE) for Remote Sensing and geospatial analysis. It is designed to take you from absolute beginner to confident and skilled user capable of performing advanced cloud-based environmental and spatial analysis with Big Data.
With more than five hours of video instruction, practical exercises, and downloadable scripts, you will learn how to use the Google Earth Engine platform and JavaScript to perform real-world geospatial tasks such as drought monitoring, flood mapping, and land cover classification.
Course Highlights
This course combines essential theory with hands-on practice. You will work directly with satellite imagery, geospatial datasets, and Earth Engine’s cloud computing environment to understand how Remote Sensing workflows are implemented at scale.
Course Focus
The course covers the foundational concepts of Remote Sensing and GIS needed to perform applied geospatial analysis in Google Earth Engine. You will learn how to use JavaScript within the Earth Engine Code Editor, how to preprocess imagery, how to work with Landsat and Sentinel data, and how to build spatial analysis workflows in the cloud.
What You Will Learn
• Introduction to the Google Earth Engine platform and interface
• Fundamentals of image analysis for Remote Sensing
• JavaScript basics for cloud-based spatial analysis
• Importing and exporting data to and from Earth Engine
• Applying image calculations and band operations
• Mapping functions over image collections and building automation workflows
• Preprocessing and analyzing Landsat and Sentinel satellite data
• Performing real-world applications such as drought monitoring, flood mapping, and land cover classification
• Running machine learning algorithms (including Random Forest) for image classification
• Basics of time-series trend analysis in Google Earth Engine
Practical Exercises
Throughout the course, you will complete hands-on exercises using clear instructions, sample code, and real datasets. This practical structure ensures that you can apply each concept directly in Google Earth Engine and build your own analysis workflows with confidence.
Course Inclusions
Enrollment gives you full access to all datasets, code files, and future resources. You will be able to follow every step of the workflow and perform your own geospatial analyses on the cloud.
Join Today
Whether you are starting from zero or seeking to upgrade your geospatial skills, this course provides a practical and structured path to mastering Google Earth Engine for Remote Sensing and spatial analysis. Enroll now and begin your journey toward becoming an expert in cloud-based geospatial analysis.
Who this course is for:
- Geographers, Programmers, geologists, biologists, social scientists, or every other expert who deals with GIS maps in their field