Details zur Publikation

Kategorie Textpublikation
Referenztyp Buchkapitel
DOI 10.1109/IGARSS53475.2024.10642481
Titel (primär) Automated gross primary production application for monitoring ecosystem health within GEOSS
Titel (sekundär) 2024 IEEE International Geoscience and Remote Sensing Symposium, Athens, Greece, 07-12 July 2024
Autor Spinosa, A.; Eleveld, M.; Mallast, U.; Peterseil, J.; Mobilia, V.; Karisma, K.; Fuentes-Monjaraz, M.A.; El Serafy, G.
Quelle International Geoscience and Remote Sensing Symposium
Erscheinungsjahr 2024
Department MET
Band/Volume IGARSS 2024
Seite von 4544
Seite bis 4547
Sprache englisch
Topic T5 Future Landscapes
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.
dauerhafte UFZ-Verlinkung https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=30308
Spinosa, A., Eleveld, M., Mallast, U., Peterseil, J., Mobilia, V., Karisma, K., Fuentes-Monjaraz, M.A., El Serafy, G. (2024):
Automated gross primary production application for monitoring ecosystem health within GEOSS
2024 IEEE International Geoscience and Remote Sensing Symposium, Athens, Greece, 07-12 July 2024
International Geoscience and Remote Sensing Symposium IGARSS 2024
Institute of Electrical and Electronics Engineers (IEEE), New York, NY, p. 4544 - 4547 10.1109/IGARSS53475.2024.10642481