Automated Gross Primary Production Application for Monitoring Ecosystem Health Within GEOSS

Anna Spinosa; Marieke Eleveld; Ulf Mallast; Johannes Peterseil; Valeria Mobilia; Karisma Karisma; Mario Alberto Fuentes-Monjaraz; Ghada El Serafy

doi:10.1109/IGARSS53475.2024.10642481

Automated Gross Primary Production Application for Monitoring Ecosystem Health Within GEOSS

Anna Spinosa^*, Marieke Eleveld, Ulf Mallast, Johannes Peterseil, Valeria Mobilia, Karisma Karisma, Mario Alberto Fuentes-Monjaraz, Ghada El Serafy

^*Corresponding author for this work

Research output: Contribution to conference › Paper › peer-review

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.

Original language	English
Pages	4544-4547
Number of pages	4
DOIs	https://doi.org/10.1109/IGARSS53475.2024.10642481
Publication status	Published - 2024
Event	2024 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2024 - Athens, Greece Duration: 7 Jul 2024 → 12 Jul 2024

Conference

Conference	2024 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2024
Country/Territory	Greece
City	Athens
Period	7/07/24 → 12/07/24

Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

Earth Intelligence
Earth Observation
Ecosystems
GEOSS
Gross Primary Production

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10.1109/IGARSS53475.2024.10642481

Cite this

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. 4544-4547. Paper presented at 2024 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2024, Athens, Greece. https://doi.org/10.1109/IGARSS53475.2024.10642481

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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.",

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author = "Anna Spinosa and Marieke Eleveld and Ulf Mallast and Johannes Peterseil and Valeria Mobilia and Karisma Karisma and Fuentes-Monjaraz, {Mario Alberto} and {El Serafy}, Ghada",

note = "Green Open Access added to TU Delft Institutional Repository {\textquoteleft}You share, we take care!{\textquoteright} – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. ; 2024 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2024 ; Conference date: 07-07-2024 Through 12-07-2024",

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Spinosa, A , Eleveld, M, Mallast, U, Peterseil, J, Mobilia, V, Karisma, K, Fuentes-Monjaraz, MA & El Serafy, G 2024, 'Automated Gross Primary Production Application for Monitoring Ecosystem Health Within GEOSS', Paper presented at 2024 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2024, Athens, Greece, 7/07/24 - 12/07/24 pp. 4544-4547. https://doi.org/10.1109/IGARSS53475.2024.10642481

TY - CONF

T1 - Automated Gross Primary Production Application for Monitoring Ecosystem Health Within GEOSS

AU - Spinosa, Anna

AU - Eleveld, Marieke

AU - Mallast, Ulf

AU - Peterseil, Johannes

AU - Mobilia, Valeria

AU - Karisma, Karisma

AU - Fuentes-Monjaraz, Mario Alberto

AU - El Serafy, Ghada

N1 - Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

PY - 2024

Y1 - 2024

N2 - 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.

AB - 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.

KW - Earth Intelligence

KW - Earth Observation

KW - Ecosystems

KW - GEOSS

KW - Gross Primary Production

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U2 - 10.1109/IGARSS53475.2024.10642481

DO - 10.1109/IGARSS53475.2024.10642481

M3 - Paper

AN - SCOPUS:85208542755

SP - 4544

EP - 4547

T2 - 2024 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2024

Y2 - 7 July 2024 through 12 July 2024

ER -

Automated Gross Primary Production Application for Monitoring Ecosystem Health Within GEOSS

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