
Lars Eklundh
Professor

Comparison of Light Use Efficiency, Plant Phenology Index, and Light Response Function-Based GPP Models in the Northern Forest Landscape
Författare
Summary, in English
Remote sensing-based models are an adequate tool to estimate carbon dioxide (CO2) uptake by terrestrial ecosystems, and to upscale the results from ecosystem to regional or global scales. In this study we compare three models driven by Sentinel-2 derived vegetation indices together with eddy covariance (EC) measured CO2 flux and radiation data in order to estimate gross primary production (GPP) in northern Europe forest ecosystems. By integrating high spatial resolution satellite data with cutting-edge footprint analysis and an accurate GPP model, we aim at more precise estimation of GPP at regional level.
Avdelning/ar
- BECC: Biodiversity and Ecosystem services in a Changing Climate
- Institutionen för naturgeografi och ekosystemvetenskap
- MERGE: ModElling the Regional and Global Earth system
- Centrum för miljö- och klimatvetenskap (CEC)
Publiceringsår
2021
Språk
Engelska
Sidor
6917-6920
Länkar
Dokumenttyp
Konferensbidrag
Ämne
- Physical Geography
- Climate Research
Nyckelord
- GPP
- Light Response Function
- Light Use Efficiency
- Plant Phenology Index
- Sentinel-2
Conference name
2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021
Conference date
2021-07-12 - 2021-07-16
Conference place
Brussels, Belgium
Aktiv
Published
Projekt
- Upscaling carbon fluxes to a landscape