The browser you are using is not supported by this website. All versions of Internet Explorer are no longer supported, either by us or Microsoft (read more here:

Please use a modern browser to fully experience our website, such as the newest versions of Edge, Chrome, Firefox or Safari etc.

Natascha Kljun. Photo.

Natascha Kljun


Natascha Kljun. Photo.

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


  • 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.


  • 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






Document type

Conference paper


  • Physical Geography
  • Climate Research


  • 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




  • Upscaling carbon fluxes to a landscape