Google Earth Engine Agrohydrology

Smarter water management in agriculture with Google Earth Engine? In this one-on-one course, you’ll discover how to analyze and optimize agrohydrological processes using Google Earth Engine. With personalized online guidance and hands-on training on-site, you’ll not only learn the theory but also apply it directly in practice.

Introduction to Google Earth Engine Agrohydrology

Google Earth Engine (GEE) is a powerful cloud-based tool for spatial data analysis. Thanks to its vast collection of satellite imagery and geospatial datasets, users can track landscape changes, analyze patterns, and make predictions. Because GEE runs entirely in the cloud, heavy hardware and complex installations are unnecessary. This allows large amounts of data to be processed efficiently, enabling fast and scalable analyses.

GEE offers numerous benefits for agrohydrology. It is used to analyze water management, soil moisture, and drought patterns in agricultural areas. By intelligently combining both historical and current satellite data, researchers and policymakers gain a detailed picture of changes in soil conditions and water availability. This insight is crucial for optimizing irrigation systems, predicting drought stress, and improving agricultural productivity.

Furthermore, GEE enables the integration of various data layers, such as soil moisture measurements, vegetation indices, weather and climate data, and hydrological models. By applying automation and machine learning, analyses are not only faster but also more accurate. This empowers farmers, water managers, and policymakers to manage water and land use in a smarter and more sustainable way. Furthermore, GEE not only supports evidence-based decision-making but also contributes to climate-resilient agricultural management and more efficient use of natural resources.

Thanks to the combination of geospatial analysis and cloud computing, GEE is an indispensable tool for anyone working with water management and agricultural data.

What will you learn in this Blended Learning course?

This course focuses on analyzing and processing agrohydrological data with Google Earth Engine. You will learn how to use satellite imagery, analyze soil moisture and drought indices, and identify spatial patterns. During the course, you’ll work with real-world datasets and practical assignments. You’ll discover how to use MODIS and Landsat-8 satellite imagery to monitor the health of agricultural areas and detect drought early using advanced techniques such as Random Forest classification. You’ll also learn how to apply agrohydrological models to analyze soil moisture, water runoff, and evaporation. You’ll also gain insight into automating GIS workflows within GEE to efficiently process large amounts of spatial data. Through hands-on assignments, you’ll apply Google Earth Engine directly to your own field of work and learn to convert spatial analyses into actionable insights.

Why take this Google Earth Engine Agrohydrology course?

Blended learning combines independent online study with practical, interactive sessions, allowing you to gain both theoretical knowledge and hands-on experience with agrohydrological analyses in Google Earth Engine. The online modules give you the flexibility to study at your own pace, while you participate in interactive classes where you learn how to analyze satellite imagery, apply machine learning in GEE, and interpret agrohydrological data. Thanks to direct access to the course materials, you can review and practice the material at any time.

During the hands-on online sessions, you’ll immediately apply the knowledge you’ve gained. You’ll work with real datasets and, under the guidance of experts, have the opportunity to create drought indices, perform soil moisture measurements, and optimize irrigation planning. By getting hands-on with advanced analyses, you’ll learn how to effectively use GEE for water management and agriculture.

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 how to apply this knowledge in realistic agrohydrological projects. Upon completion of the course, you will be able to use GEE to process hydrological data and generate valuable insights for more sustainable water management.

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:

  • Perform agrohydrological analyses using Google Earth Engine to monitor water management and agricultural conditions.
  • Use satellite imagery to monitor crop health and identify drought and flood patterns early on.
  • Measure soil moisture and optimize irrigation planning using geospatial data and hydrological models.
  • Analyze land use and vegetation changes using advanced classification techniques such as Random Forest and NDVI.

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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