Workshops
"Cloud-Computing for Earth Observation Data Analysis using
Google Earth Engine"
The increasing need to monitor Earth's resources and advancement in satellite remote sensing technologies has led to a rapid rate of data generation. Despite increased performance and reduced costs of personal computers, storage and computational power limitations present a challenge in geoprocessing and analysis of this big data. Cloud-computing platforms offer the ability to process remote sensing data across large spatial and temporal scales overcoming the storage and computational power constraints. In this interactive tutorial, we focus on Google Earth Engine (GEE) which combines global-scale spatial analysis capabilities with petabyte-scale archives of remote sensing datasets from different satellite sensors. Using real-world examples, we will go through:
- Getting started with GEE
- Data upload, access and visualization
- Computations using images
- Time-series analysis
- Cloud-masking
- Random Forest classification
Workshop date: 15th Oct. 2019 13:00-17:00 |
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Presenter Information
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Joseph Gitahi Joseph Gitahi received his MSc in Photogrammetry and Geoinformatics from the University of Applied Sciences, Stuttgart (2018). He is currently a Research Assistant in the Faculty of Geomatics, Computer Science and Mathematics, University of Applied Sciences Stuttgart working on urban air quality monitoring using satellite images and ground sensor networks. His current research interests are remote sensing techniques for air pollution analysis, machine learning and big data analysis techniques in geospatial applications. |
