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Lars Eklundh

Professor

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Modelling daily gross primary productivity with sentinel-2 data in the nordic region–comparison with data from modis

Author

  • Zhanzhang Cai
  • Sofia Junttila
  • Jutta Holst
  • Hongxiao Jin
  • Jonas Ardö
  • Andreas Ibrom
  • Matthias Peichl
  • Meelis Mölder
  • Per Jönsson
  • Janne Rinne
  • Maria Karamihalaki
  • Lars Eklundh

Summary, in English

The high-resolution Sentinel-2 data potentially enable the estimation of gross primary productivity (GPP) at finer spatial resolution by better capturing the spatial variation in a heterogeneous landscapes. This study investigates the potential of 10 m resolution reflectance from the Sentinel-2 Multispectral Instrument to improve the accuracy of GPP estimation across Nordic vegetation types, compared with the 250 m and 500 m resolution reflectance from the Moderate Resolution Imaging Spectroradiometer (MODIS). We applied linear regression models with inputs of two-band enhanced vegetation index (EVI2) derived from Sentinel-2 and MODIS reflectance, respectively, together with various environmental drivers to estimate daily GPP at eight Nordic eddy covariance (EC) flux tower sites. Compared with the GPP from EC measurements, the accuracies of modelled GPP were generally high (R2 = 0.84 for Sentinel-2; R2 = 0.83 for MODIS), and the differences between Sentinel-2 and MODIS were minimal. This demonstrates the general consistency in GPP estimates based on the two satellite sensor systems at the Nordic regional scale. On the other hand, the model accuracy did not improve by using the higher spatial-resolution Sentinel-2 data. More analyses of different model formulations, more tests of remotely sensed indices and biophysical parameters, and analyses across a wider range of geographical locations and times will be required to achieve improved GPP estimations from Sentinel-2 satellite data.

Department/s

  • Dept of Physical Geography and Ecosystem Science
  • BECC: Biodiversity and Ecosystem services in a Changing Climate
  • ICOS Sweden
  • MERGE: ModElling the Regional and Global Earth system

Publishing year

2021

Language

English

Publication/Series

Remote Sensing

Volume

13

Issue

3

Document type

Journal article

Publisher

MDPI AG

Topic

  • Physical Geography

Keywords

  • EVI2
  • Gross primary productivity
  • MODIS
  • Nordic region
  • Sentinel-2 MSI

Status

Published

ISBN/ISSN/Other

  • ISSN: 2072-4292