Speaker
Description
The growing data stream from Earth Observation (EO) satellites has advanced scientific knowledge about the environmental status of planet earth and has enabled detailed environmental monitoring services. The openEO API developed in the Horizon 2020 project openEO (2017–2020, see https://openeo.org/) demonstrated that large-scale EO data processing needs can be expressed as a common set of analytic operators which are implemented in many GIS software or image analysis software products. The openEO Platform service implements the API into an operational, federated service currently running at back-ends at EODC and VITO with access to SentinelHub data to meet processing needs of a wide user community.
openEO Platform (https://openeo.cloud/) enables users to access a large collection of open EO data and perform scientific computations with intuitive client libraries simplifying underlying complexity. The platform is currently under construction with a strong focus on user co-creation and input from various disciplines incorporating a range of use-cases and a free-of-charge Early Adopter program that allows users to test the platform and to directly communicate with its developers. The use cases include CARD4L compliant ARD data creation with user defined parameterisation, forest dynamics mapping including time series fitting and prediction functionalities, crop type mapping including EO feature engineering supporting machine learning based crop mapping and forest canopy mapping supporting regression based fraction cover mapping.