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Exploring the potential of MODIS EVI for modeling gross primary production across African ecosystems

Sjöström, Martin LU ; Ardö, Jonas LU ; Arneth, Almut LU ; Boulain, N.; Cappelaere, B.; Eklundh, Lars LU ; de Grandcourt, A.; Kutsch, W.L.; Merbold, L. and Nouvellon, Y., et al. (2011) In Remote Sensing of Environment 115(4). p.1081-1089
Abstract
One of the most frequently applied methods for integrating controls on primary production through satellite data is the light use efficiency (LUE) approach, which links vegetation gross or net primary productivity (GPP or NPP) to remotely-sensed estimates of absorbed photosynthetically active radiation (APAR). Eddy covariance towers provide continuous measurements of carbon flux, presenting an opportunity for evaluation of satellite estimates of GPP. Here we investigate relationships between eddy covariance estimated GPP, environmental variables and the enhanced vegetation index (EVI) from the Moderate Resolution Imaging Spectroradiometer (MODIS) across African savanna ecosystems. EVI was found to correlate well with estimated GPP on a... (More)
One of the most frequently applied methods for integrating controls on primary production through satellite data is the light use efficiency (LUE) approach, which links vegetation gross or net primary productivity (GPP or NPP) to remotely-sensed estimates of absorbed photosynthetically active radiation (APAR). Eddy covariance towers provide continuous measurements of carbon flux, presenting an opportunity for evaluation of satellite estimates of GPP. Here we investigate relationships between eddy covariance estimated GPP, environmental variables and the enhanced vegetation index (EVI) from the Moderate Resolution Imaging Spectroradiometer (MODIS) across African savanna ecosystems. EVI was found to correlate well with estimated GPP on a site-by-site basis. Combining EVI with tower-measured PAR and evaporative fraction (EF, a measure of water sufficiency) improved the direct relationship between GPP and EVI at the majority of the sites. The slope of this relationship was strongly related to site peak leaf area index (LAI). These results are promising for the extension of GPP through the use of remote sensing data to a regional or even continental scale. (Less)
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published
subject
keywords
Gross primary production (GPP), Africa, Evaporative fraction (EF), Enhanced vegetation index (EVI), Leaf area index (LAI), Moderate Resolution Imaging Spectroradiometer (MODIS)
in
Remote Sensing of Environment
volume
115
issue
4
pages
1081 - 1089
publisher
Elsevier
external identifiers
  • wos:000287899200012
  • scopus:80053559594
ISSN
0034-4257
DOI
10.1016/j.rse.2010.12.013
project
MERGE
BECC
language
English
LU publication?
yes
id
2569d4df-bae7-46c4-9efe-7c73ff80637a (old id 1895280)
date added to LUP
2011-08-23 16:24:03
date last changed
2017-08-27 03:40:46
@article{2569d4df-bae7-46c4-9efe-7c73ff80637a,
  abstract     = {One of the most frequently applied methods for integrating controls on primary production through satellite data is the light use efficiency (LUE) approach, which links vegetation gross or net primary productivity (GPP or NPP) to remotely-sensed estimates of absorbed photosynthetically active radiation (APAR). Eddy covariance towers provide continuous measurements of carbon flux, presenting an opportunity for evaluation of satellite estimates of GPP. Here we investigate relationships between eddy covariance estimated GPP, environmental variables and the enhanced vegetation index (EVI) from the Moderate Resolution Imaging Spectroradiometer (MODIS) across African savanna ecosystems. EVI was found to correlate well with estimated GPP on a site-by-site basis. Combining EVI with tower-measured PAR and evaporative fraction (EF, a measure of water sufficiency) improved the direct relationship between GPP and EVI at the majority of the sites. The slope of this relationship was strongly related to site peak leaf area index (LAI). These results are promising for the extension of GPP through the use of remote sensing data to a regional or even continental scale.},
  author       = {Sjöström, Martin and Ardö, Jonas and Arneth, Almut and Boulain, N. and Cappelaere, B. and Eklundh, Lars and de Grandcourt, A. and Kutsch, W.L. and Merbold, L. and Nouvellon, Y. and Scholes, R.J. and Schubert, Per and Seaquist, Jonathan and Veenendaal, E.M.},
  issn         = {0034-4257},
  keyword      = {Gross primary production (GPP),Africa,Evaporative fraction (EF),Enhanced vegetation index (EVI),Leaf area index (LAI),Moderate Resolution Imaging Spectroradiometer (MODIS)},
  language     = {eng},
  number       = {4},
  pages        = {1081--1089},
  publisher    = {Elsevier},
  series       = {Remote Sensing of Environment},
  title        = {Exploring the potential of MODIS EVI for modeling gross primary production across African ecosystems},
  url          = {http://dx.doi.org/10.1016/j.rse.2010.12.013},
  volume       = {115},
  year         = {2011},
}