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Lars Eklundh

Professor

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

Author

  • Sofia Junttila
  • Natascha Kljun
  • Lars Eklundh

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.

Department/s

  • BECC: Biodiversity and Ecosystem services in a Changing Climate
  • Dept of Physical Geography and Ecosystem Science
  • MERGE: ModElling the Regional and Global Earth system
  • Centre for Environmental and Climate Science (CEC)

Publishing year

2021

Language

English

Pages

6917-6920

Document type

Conference paper

Topic

  • Physical Geography
  • Climate Research

Keywords

  • 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

Status

Published

Project

  • Upscaling carbon fluxes to a landscape