Remote Sensing with Google Earth Engine Training Course
Introduction
The field of Remote Sensing has been revolutionized by the advent of cloud-based platforms that democratize access to vast archives of satellite imagery and powerful computational capabilities. Google Earth Engine (GEE) stands at the forefront of this transformation, offering a planetary-scale platform for geospatial analysis that combines a multi-petabyte catalog of Earth observation data with a powerful, parallel processing engine. This revolutionary platform enables users to perform complex analyses on massive datasets – including Landsat, Sentinel, MODIS, and various climate datasets – without the need for specialized hardware or extensive local data storage. GEE is particularly impactful for large-scale environmental monitoring, land change detection, climate change research, and agricultural applications, allowing researchers and practitioners to tackle problems at scales previously unimaginable. It empowers users to analyze decades of satellite imagery in minutes, facilitating time-series analysis, rapid mapping, and machine learning applications that were once the domain of supercomputers. However, effectively harnessing the power of GEE requires proficiency in its JavaScript or Python API, understanding its unique data model, and familiarity with its server-side computational paradigm. Many remote sensing professionals are accustomed to desktop software and traditional data handling, finding the transition to a cloud-native, code-based environment challenging without structured guidance.
Conversely, mastering Remote Sensing with Google Earth Engine empowers professionals to perform cutting-edge geospatial analysis on an unprecedented scale, allowing them to extract critical insights from Earth observation data quickly and efficiently. This specialized skill set is crucial for transforming raw satellite data into actionable geographic intelligence, driving innovative solutions for environmental sustainability, resource management, and climate resilience. Our intensive 5-day "Remote Sensing with Google Earth Engine" training course is meticulously designed to equip GIS professionals, remote sensing analysts, environmental scientists, researchers, and data scientists with the essential theoretical knowledge and practical, hands-on coding skills required to confidently leverage the immense power of Google Earth Engine for advanced Earth observation and analysis.
Duration
5 Days
Target Audience
The "Remote Sensing with Google Earth Engine" training course is ideal for a wide range of professionals and researchers who need to perform large-scale geospatial analysis and work with vast Earth observation datasets. This includes:
Course Objectives
Upon successful completion of the "Remote Sensing with Google Earth Engine" training course, participants will be able to:
Course Modules
Module 1: Introduction to Google Earth Engine and Cloud-Based Remote Sensing
Module 2: Accessing and Filtering Earth Engine Data Catalog
Module 3: Basic Image Pre-processing and Enhancements in GEE
Module 4: Time-Series Analysis and Change Detection
Module 5: Supervised Image Classification for Land Cover Mapping
Module 6: Unsupervised Classification and Zonal Statistics
Module 7: Advanced Spatial Analysis and Vector Operations
Module 8: Data Export, Charting, and Advanced Topics
CERTIFICATION
TRAINING VENUE
AIRPORT PICK UP AND ACCOMMODATION
TERMS OF PAYMENT
Payment should be made to Macskills Development Institute bank account before the start of the training and receipts sent to info@macskillsdevelopment.com
Dates | Fees | Location | Action |
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01/09/2025 - 05/09/2025 | $1,750 | Mombasa |
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22/09/2025 - 26/09/2025 | $1,500 | Nairobi |
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06/10/2025 - 10/10/2025 | $1,750 | Mombasa |
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27/10/2025 - 31/10/2025 | $1,500 | Nairobi |
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03/11/2025 - 07/11/2025 | $1,750 | Mombasa |
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17/11/2025 - 21/11/2025 | $1,500 | Nairobi |
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01/12/2025 - 05/12/2025 | $1,750 | Mombasa |
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08/12/2025 - 12/12/2025 | $1,500 | Nairobi |
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05/01/2026 - 09/01/2026 | $1,750 | Mombasa |
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19/01/2026 - 23/01/2026 | $1,500 | Nairobi |
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02/02/2026 - 06/02/2026 | $1,750 | Mombasa |
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23/02/2026 - 27/02/2026 | $1,500 | Nairobi |
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02/03/2026 - 06/03/2026 | $1,750 | Mombasa |
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23/03/2026 - 27/03/2026 | $1,500 | Nairobi |
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06/04/2026 - 10/04/2026 | $1,750 | Mombasa |
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20/04/2026 - 24/04/2026 | $1,500 | Nairobi |
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04/05/2026 - 08/05/2026 | $1,750 | Mombasa |
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18/05/2026 - 22/05/2026 | $1,500 | Nairobi |
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01/06/2026 - 05/06/2026 | $1,750 | Mombasa |
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22/06/2026 - 26/06/2026 | $1,500 | Nairobi |
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22/06/2026 - 26/06/2026 | $1,500 | Nairobi |
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22/06/2026 - 26/06/2026 | $1,500 | Nairobi |
|
22/06/2026 - 26/06/2026 | $1,500 | Nairobi |
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