Comparison of Light Use Efficiency, Plant Phenology Index, and Light Response Function-Based GPP Models in the Northern Forest Landscape
(2021) 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021 p.6917-6920- Abstract
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.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/8eb9aef5-dd76-4e70-9ce9-d6ccebcbd36a
- author
- Junttila, Sofia LU ; Kljun, Natascha LU and Eklundh, Lars LU
- organization
- publishing date
- 2021
- type
- Contribution to conference
- publication status
- published
- subject
- keywords
- GPP, Light Response Function, Light Use Efficiency, Plant Phenology Index, Sentinel-2
- pages
- 6917 - 6920
- conference name
- 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021
- conference location
- Brussels, Belgium
- conference dates
- 2021-07-12 - 2021-07-16
- external identifiers
-
- scopus:85129886605
- DOI
- 10.1109/IGARSS47720.2021.9554177
- project
- Upscaling carbon fluxes to a landscape
- language
- English
- LU publication?
- yes
- additional info
- Publisher Copyright: © 2021 IEEE
- id
- 8eb9aef5-dd76-4e70-9ce9-d6ccebcbd36a
- date added to LUP
- 2022-06-01 10:13:40
- date last changed
- 2023-05-10 11:31:07
@misc{8eb9aef5-dd76-4e70-9ce9-d6ccebcbd36a, abstract = {{<p>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.</p>}}, author = {{Junttila, Sofia and Kljun, Natascha and Eklundh, Lars}}, keywords = {{GPP; Light Response Function; Light Use Efficiency; Plant Phenology Index; Sentinel-2}}, language = {{eng}}, pages = {{6917--6920}}, title = {{Comparison of Light Use Efficiency, Plant Phenology Index, and Light Response Function-Based GPP Models in the Northern Forest Landscape}}, url = {{http://dx.doi.org/10.1109/IGARSS47720.2021.9554177}}, doi = {{10.1109/IGARSS47720.2021.9554177}}, year = {{2021}}, }