2025-09-02, 13:30–15:00 (Europe/Amsterdam), Expert Room 2
This tutorial introduces the Google Earth Engine (GEE) API. Participants will learn to filter, process, and export images, extract insights from temporal data, and export results using the API.
GEE is a cloud-based platform for geospatial analysis. GEE provides an API (application programming interface) for image collection manipulation, time series processing, and spatial data transformations. JavaScript is the primary scripting language in the GEE Code Editor, allowing users to directly interact with the API for advanced workflows.
This course covers coding techniques for transforming image collections and analyzing time series. It starts with API interactions, including loading and visualizing satellite imagery. Then, it moves to collection transformations, where participants filter datasets, compute statistical reductions, and generate composites. Next, it covers time series analysis, allowing participants to extract trends and plot variations. Finally, the session covers exporting results for further use.
By the end, participants will develop a structured approach to writing JavaScript scripts in GEE. They will understand how the API enables geoprocessing workflows. This course is for researchers and GIS professionals looking to use cloud computing for geospatial analysis. It focuses on practical applications and offers hands-on experience with the entire process.
Other links:
https://docs.google.com/presentation/d/1zCIssZLp7ckRakl5HosKLYy5OGlk-FZHKtWptF3IrPg/edit?usp=sharing
Mustafa Serkan Isik is a post-doctoral researcher at the OpenGeoHub Foundation, focusing on time-series analysis of Earth Observation data and space-time modelling. He holds a PhD in Geomatics and has a background in geodesy and remote sensing.