Automated Gross Primary Production Application for Monitoring Ecosystem Health Within GEOSS
Anna Spinosa (TU Delft - Mathematical Physics, Deltares)
Marieke Eleveld (TU Delft - Mathematical Geodesy and Positioning, Deltares)
Ulf Mallast (Helmholtz Centre for Environmental Research - UFZ)
Johannes Peterseil (Umweltbundesamt GmbH)
Valeria Mobilia (Deltares)
Karisma Karisma (University of Twente)
Mario Alberto Fuentes-Monjaraz (Deltares)
Ghada El Serafy (Deltares, TU Delft - Mathematical Physics)
More Info
expand_more
Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.
Abstract
This study addresses the challenges posed by climatic changes and biodiversity loss to ecosystem stability, by quantifying gross primary production (GPP) changes. An improved earth observation product is obtained by integrating in-situ and remote sensing data via data-driven models. Employing a user-centered strategy, our methodology builds on users' engagement, ensuring both the identification of user needs and practical product demonstrations. With GEOSS as central and integrated stakeholder, we strive for a broad interoperability and accessibility of generated outcomes. The project outcomes include a curated dataset with FAIR metadata, openly available code, and reports for reproducibility, contributing to the broader Earth Intelligence supply chain.