Multitudes of satellite data and derived products are currently available in various free and open cloud repositories. In this course you will be introduced to the various data sources and how these can be accessed, processed, and eventually retrieved using the OpenEO API to allow users to connect to these resource back-ends (like the Copernicus Data Space Ecosystem, Climate Data Store and Land Monitoring Service, WEkEO, and Google Earth Engine) in a simple and unified way. All required Python based tools will be installed in the WEkEO cloud computing platform, and by practicing with the included Jupyter Notebooks you will acquire the capabilities of selecting, handling and processing the geospatial data, in conjunction with IlwisPy, a Python based GIS and RS site-package developed.
Course content
Learning outcomes
After this course, you will be able to:
- Setup the required processing tools in a selected cloud service (WEkEO)
- Use ‘OpenEO’ to retrieve Sentinel‐2 cloud free images offered by other online
data portals like the Copernicus Data Space Ecosystem - Process selected datasets using Python and other site‐packages, within a Jupyter Notebook environment and transform the data to a uniform projection (UTM zone 37S) and spatial resolution
- Export results obtained and ingest these in their local GIS / RS software tools like QGIS or ILWIS