Google Earth Engine Spatial Data

Want to analyze geospatial data with Google Earth Engine? In this one-on-one course, you’ll learn how to process, analyze, and visualize satellite imagery and spatial datasets using powerful cloud-based tools. Discover how to use Google Earth Engine for geospatial analysis and immediately apply what you learn to real-world datasets.

Google Earth Engine Spatial Data

Google Earth Engine (GEE) is a powerful cloud-based tool that lets you analyze and visualize spatial data. It provides access to a vast database of satellite imagery and geospatial datasets, allowing you to track changes in the landscape and perform complex analyses—without the need for powerful hardware. Thanks to its integrated cloud computing capabilities, users can process large amounts of data and perform advanced calculations, ranging from time-series analyses to machine learning-based classifications.

GEE is used worldwide in sectors such as environmental research, urban planning, and agriculture. Scientists use it to map deforestation, analyze ecosystems, and monitor climate change. Policymakers use GEE for urban development, air quality monitoring, and infrastructure improvement. In agriculture, the tool is used to track crop growth, analyze soil conditions, and predict the impact of weather changes.

In addition to its powerful analytical capabilities, GEE also offers a collaborative work environment where users can share scripts and visualizations. This makes it a valuable tool for researchers, governments, and companies that want to work efficiently with spatial data. In this course, you will learn how to effectively use GEE to perform geospatial analyses and translate insights into practical applications.

What will you learn in this Blended Learning course?

During this course, you’ll dive deep into the capabilities of Google Earth Engine (GEE) and spatial data analysis. You’ll learn how to process satellite imagery, recognize patterns in geodata, and analyze large datasets using the power of cloud computing. The focus is on hands-on learning and applying GEE across various fields.

You’ll get hands-on experience with processing and visualizing spatial data. You’ll learn how to analyze satellite imagery to detect changes in the landscape, such as deforestation or changes in water levels. You’ll also discover how to use machine learning techniques within GEE to predict geospatial patterns and solve complex problems.

In addition to theory, you will work with real datasets and complete practical assignments that address current issues in environmental research, urban planning, and agriculture. You will experiment with the use of scripts and cloud computing to efficiently process large amounts of geodata. Through hands-on assignments, you will learn how to apply GEE in your own field of work and how to translate analyses into actionable insights.

Why choose this Google Earth Engine Spatial Data course?

Blended learning combines independent online study with practical, interactive sessions, allowing you to gain both theoretical knowledge and practical experience with Google Earth Engine for geospatial data analysis. The online modules give you the freedom to study at your own pace and offer interactive lessons on analyzing satellite imagery, machine learning in GEE, and geospatial data visualization.

During the hands-on online sessions, you’ll immediately apply the knowledge you’ve gained. You’ll work with real datasets and receive guidance from experts to perform spatial analyses, process data, and identify patterns in geospatial data. By working hands-on with realistic GIS scenarios, you’ll learn to make the most of GEE in practice.

The combination of flexible online learning and interactive hands-on experience ensures that you not only understand the basic principles of Google Earth Engine but also know how to apply this knowledge in real-world projects. Upon completion of the course, you will be able to process, analyze, and automate geospatial data using GEE.

Enroll

€395,- (VAT included)
  • Start: 2-hour online session
  • Self-study: Review course materials
  • End: 1-hour online session
Register for this course

You’ll receive 1-on-1 guidance. After signing up, our course coordinator will contact you to schedule your first session.

Leerdoelen

After completing this course, you will be able to:

  • Process and interpret satellite imagery to map environmental issues, land use, and climate change.
  • Apply machine learning within GEE to identify and predict patterns and trends in geospatial data.
  • Visualize and apply spatial data in sectors such as urban planning, agriculture, and environmental management.

Want to know more?

Do you have questions about the course content? Or are you unsure whether the course aligns with your learning goals or preferences? Would you prefer an in-house or private course? We’d be happy to help.

Frequently Asked Questions About Courses

After the course, you’ll have another two weeks to ask the instructor questions. Since the instructor is already teaching other courses, it’s best to email your questions to info@geo-ict.nl. Your question will be forwarded to the instructor, and you’ll receive a response within 24 hours.

If you’re a bit further along and encounter practical problems you can’t solve on your own, it’s best to use Online Support. You’ll spend one day online with the instructor and receive personalized one-on-one instruction. All your problems will be resolved, and you’ll have made significant progress.

  • Blended learning, also known as hybrid learning, is an educational method that combines traditional face-to-face classes with online learning materials and interactive sessions. This approach offers students flexibility and control over aspects such as the time, place, and pace of learning, while allowing them to benefit from direct interaction with instructors and fellow students. ​
  • At the Geo-ICT Training Center in the Netherlands, blended learning is implemented by having students study largely independently, supplemented by scheduled interactive sessions with an instructor. During these sessions, students can ask questions and discuss complex topics, which fosters a deeper understanding of the course material. All Blended Learning courses begin with a 2-hour online session. The instructor delivers presentations and assigns various exercises and assignments to the student. The student can then work on these independently. After a few weeks, another one-hour online session follows.

If you run into problems in practice that you can’t solve on your own, you have two options: you can sign up for a beginner or advanced course, or you can sign up for Online Support.

You’ll spend a day online with an instructor and receive personalized one-on-one instruction. All your problems will be resolved, and you’ll have made significant progress.

 

All courses are taught in person. Course hours are from 9:00 AM to 4:00 PM. Coffee, tea, lunch, and a laptop are provided.

Taking a course online is also possible, but we only offer hybrid courses in exceptional cases. If you wish to participate in a course online, please indicate this during registration—select “Online” as the location. If that is not possible, this course will only be offered on-site in Apeldoorn.

Yes, we do this regularly. Our instructor will come to your location and bring laptops for the participants. All you need to do is arrange a classroom at your location.

Please email your requirements to info@geo-ict.nl, and we will send you a quote. Once you’ve confirmed the order, our course coordinator will contact you to schedule the training days.

After each course, participants receive a link to our evaluation portal. There, you can share your feedback on what you liked and didn’t like about the course. We always do our very best, but of course, there may be times when you have a complaint. Click on “Complaints Procedure.” It explains what steps you can take. Geo-ICT Training Center, Netherlands is a member of the Dutch Council for Training and Education (NRTO).

After the course, we will email you a link to our evaluation portal. There, you can log in and fill out an evaluation form, and you can also download your certificate of participation.

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