Total study time: 24 hours
Want to manage water more effectively in agriculture using Google Earth Engine? In this one-on-one online course, you’ll learn how to analyze and improve agrohydrological processes using real data for real impact. With personalized online coaching and interactive, hands-on projects, you won’t just learn the theory—you’ll apply it in practice straight away.
Google Earth Engine (GEE) is a powerful cloud-based platform for analyzing geospatial data. With access to a vast library of satellite imagery and spatial datasets, you can track landscape changes, detect patterns, and make informed predictions. Since GEE runs entirely in the cloud, there’s no need for expensive hardware or complicated installations—making it easy to process large amounts of data quickly and efficiently.
For agrohydrology, GEE offers major advantages. You can assess water usage, monitor soil moisture, and detect drought patterns across agricultural regions. By combining historical and real-time satellite data, GEE gives you a detailed view of water availability and soil conditions. These insights help optimize irrigation, forecast drought stress, and boost crop productivity.
Even better, GEE lets you integrate multiple data sources—like soil moisture readings, vegetation indices, climate data, and hydrological models. With built-in automation and machine learning tools, your analyses become faster and more accurate. This helps farmers, water managers, and policymakers make smarter, more sustainable decisions about land and water. In short, GEE supports climate-resilient agriculture and better use of natural resources.
Thanks to its combination of geospatial analysis and cloud computing, GEE is an essential tool for anyone working with agricultural and water data.
This course teaches you how to use Google Earth Engine for agrohydrological analysis. You’ll work with satellite imagery, assess soil moisture, and track drought conditions. You’ll also learn how to spot spatial patterns that affect agriculture.
Through hands-on exercises, you’ll use MODIS and Landsat-8 imagery to monitor crop health. You’ll apply advanced techniques like Random Forest classification to detect early signs of drought.
You’ll also explore agrohydrological models to analyze soil moisture, runoff, and evapotranspiration. On top of that, you’ll learn how to automate GIS workflows in GEE, helping you process large datasets faster and more efficiently.
Each assignment is grounded in real-world scenarios. By the end, you’ll know how to turn complex spatial data into clear, actionable insights for your work.
Blended learning gives you the best of both worlds—live interaction and flexible, self-paced study—so you can build practical, job-ready skills with expert support every step of the way.
We begin with a live session where you’ll jump straight into real agrohydrological datasets. Guided by experienced instructors, you’ll assess drought risk, measure soil moisture, and monitor crop health using GEE.
Next, you’ll move through self-paced modules that cover remote sensing, vegetation indices, hydrological modeling, and scripting in GEE. You’ll work with MODIS and Landsat data, automate tasks, and apply classification techniques like Random Forest to real agricultural challenges.
Then, in a second live session, you’ll bring everything together. You’ll tackle case studies, fine-tune your analysis, and get personalized feedback to sharpen your approach.
A standout feature of this course is its case-based format. You’ll create practical tools—like irrigation plans and drought monitoring dashboards—that you can immediately apply in your work.
By combining expert-led training with flexible learning, this course gives you more than just technical skills. It gives you the confidence to use GEE effectively and the knowledge to make better, data-driven decisions for sustainable water and land management.
After completing this course, you will be able to:
Do you have questions about the course content? Not sure if the course aligns with your learning objectives? Or would you prefer a private session or in-company training? We’re happy to assist—feel free to get in touch.
We aim to make our courses accessible to as many people as possible. If the course fee is a concern, instead of registering directly, you can indicate on the registration form that you’d like to receive a quote tailored to your needs. In many cases, we can offer flexible solutions. For instance, we can adjust the course content for large groups, shorten the course based on existing knowledge, or offer daily rates to suit your requirements.
Yes, you can reach out to the instructor with questions for up to 2 weeks after the course. Since the instructor is likely teaching other courses, we recommend emailing your questions to info@geo-ict.com. We’ll forward your inquiry to the instructor, and you’ll receive a response within 24 hours. After the 2-week period, we recommend using our Personalized Online Support for continued assistance.
Yes, we offer on-site training regularly throughout the Netherlands. Our instructor will bring laptops for the participants, and all you need to do is arrange a suitable room at your location.
Please send your requirements to info@geo-ict.com, and we will provide a customized quote, which will include travel and accommodation costs. Once the quote is confirmed, our course coordinator will reach out to schedule the training days.
After each course, participants receive a link to our evaluation portal where you can share your feedback on what you liked and didn’t like. We strive to provide a great experience for all our participants, but if you have a complaint, please click on ‘Complaints Procedure’ in the portal. This document will guide you through the steps to take. Geo-ICT Training Center, Netherlands, is a member of the Dutch Council for Training and Education (NRTO), ensuring a fair and transparent process.
Courses are typically scheduled according to the Dutch time zone, with sessions running from 9:00 AM to 12:00 PM and 1:00 PM to 4:00 PM. For participants in different time zones, we adjust the course times in consultation with you.