Training on Google Earth Engine for Remote Sensing Analysis
Hands-on training in Google Earth Engine for large-scale remote sensing and environmental analysis.
Next intake
20 Jul 2026 · Nakuru
Duration
5 days
Live instruction
Delivery
Physical + Virtual
Cohort based
Level
Intermediate
Working professionals
Certification
NITA reimbursable
For Kenyan cohorts
Language
English
All materials
About this programme
This course builds practical capacity in the use of Google Earth Engine (GEE) for large-scale remote sensing analysis and geospatial decision-making. It focuses on leveraging cloud-based satellite data to generate timely, accurate, and actionable insights for environmental monitoring, agriculture, climate analysis, and resource management.
Coverage includes satellite data access, image processing, time-series analysis, and spatial modeling using GEE’s cloud computing environment. Through applied exercises and real-world case studies, participants gain hands-on experience in transforming raw satellite data into meaningful analytical outputs.
Duration
5 Days
Who Should Attend
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GIS and remote sensing professionals
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Agricultural and environmental analysts
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Climate change and disaster risk practitioners
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Researchers, students, and data analysts
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Government, NGO, and development professionals
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Agribusiness and precision agriculture teams
What you'll walk away with
By the end of the course, participants will be able to:
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Navigate and operate the Google Earth Engine platform
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Access and process large-scale satellite datasets
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Perform image classification and change detection
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Conduct time-series and trend analysis
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Develop remote sensing workflows using GEE
What we cover, module by module
Module 1: Introduction to Google Earth Engine
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Overview of cloud-based geospatial computing
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GEE interface, data catalog, and workflows
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Accessing and visualizing satellite imagery
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Case Study:Large-area remote sensing analysis using GEE
Module 2: Satellite Data Processing & Image Analysis
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Image filtering, mosaicking, and compositing
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Spectral indices and feature extraction
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Handling big geospatial datasets
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Case Study:Vegetation and land surface analysis
Module 3: Classification, Mapping & Change Detection
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Supervised and unsupervised classification
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Land use and land cover mapping
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Change detection techniques
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Case Study:Land use change analysis
Module 4: Time-Series Analysis & Environmental Monitoring
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Temporal analysis and trend detection
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Monitoring vegetation, water, and climate variables
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Integration with GIS platforms and dashboards
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Case Study:Long-term vegetation and climate monitoring
Module 5: Applied Projects & Decision Support Applications
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Designing end-to-end GEE workflows
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Visualization and reporting of results
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Capstone project: Remote sensing analysis for agriculture, climate, or disaster risk
Where the change lands
Individual Impact
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Enhanced technical skills in cloud-based geospatial analysis
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Improved efficiency in handling large satellite datasets
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Stronger analytical and problem-solving capabilities
Organizational Impact
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Faster and more cost-effective remote sensing analysis
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Improved monitoring, reporting, and decision support systems
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Scalable geospatial solutions for large geographic areas
Dates and locations
Upcoming intakes
Every intake is limited to a small cohort. Booking closes when a date fills or three weeks before the start, whichever comes first.
| City | Starts | Ends | Delivery | Book |
|---|---|---|---|---|
NakuruNext | 20 Jul 2026 | 24 Jul 2026 | In-Person | Book |
Kigali | 20 Jul 2026 | 24 Jul 2026 | In-Person | Book |
Accra | 20 Jul 2026 | 24 Jul 2026 | In-Person | Book |
Kisumu | 27 Jul 2026 | 31 Jul 2026 | In-Person | Book |
Johannesburg | 27 Jul 2026 | 31 Jul 2026 | In-Person | Book |
Dakar | 27 Jul 2026 | 31 Jul 2026 | In-Person | Book |
- NakuruNext
20 Jul → 24 Jul·In-Person
Book this intake - Kigali
20 Jul → 24 Jul·In-Person
Book this intake - Accra
20 Jul → 24 Jul·In-Person
Book this intake - Kisumu
27 Jul → 31 Jul·In-Person
Book this intake - Johannesburg
27 Jul → 31 Jul·In-Person
Book this intake - Dakar
27 Jul → 31 Jul·In-Person
Book this intake
Common questions.
Still not sure? Send us a note and a facilitator will get back to you within a business day.
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Course finder
Find the right course for you
Prefer to talk it through? Send us an enquiry and a facilitator will scope a fit within a business day.
For corporate teams
Training 10+ professionals?
We deliver Training on Google Earth Engine for Remote Sensing Analysis in-house at your offices, at a venue we arrange, or fully virtual. Customise the curriculum against your KPIs, and get a bespoke price for the cohort size you need.