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Comparison of Light Use Efficiency, Plant Phenology Index, and Light Response Function-Based GPP Models in the Northern Forest Landscape

Junttila, Sofia LU ; Kljun, Natascha LU orcid and Eklundh, Lars LU orcid (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:
author
; and
organization
publishing date
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}},
}