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Evaluation of satellite based indices for gross primary production estimates in a sparse savanna in the Sudan

Sjöström, Martin LU ; Ardö, Jonas LU ; Eklundh, Lars LU ; El-Tahir, B. A.; El-Khidir, H. A. M.; Hellström, Margareta LU ; Pilesjö, Petter LU and Seaquist, Jonathan LU (2009) In Biogeosciences 6(1). p.129-138
Abstract
One of the more frequently applied methods for integrating controls on primary production through satellite data is the Light Use Efficiency (LUE) approach. Satellite indices such as the Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) and the Shortwave Infrared Water Stress Index (SIWSI) have previously shown promise as predictors of primary production in several different environments. In this study, we evaluate NDVI, EVI and SIWSI derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) satellite sensor against in-situ measurements from central Sudan in order to asses their applicability in LUE-based primary production modeling within a water limited environment. Results show a strong... (More)
One of the more frequently applied methods for integrating controls on primary production through satellite data is the Light Use Efficiency (LUE) approach. Satellite indices such as the Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) and the Shortwave Infrared Water Stress Index (SIWSI) have previously shown promise as predictors of primary production in several different environments. In this study, we evaluate NDVI, EVI and SIWSI derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) satellite sensor against in-situ measurements from central Sudan in order to asses their applicability in LUE-based primary production modeling within a water limited environment. Results show a strong correlation between vegetation indices and gross primary production (GPP), demonstrating the significance of vegetation indices for deriving information on primary production with relatively high accuracy at similar areas. Evaluation of SIWSI however, reveal that the fraction of vegetation apparently is to low for the index to provide accurate information on canopy water content, indicating that the use of SIWSI as a predictor of water stress in satellite data-driven primary production modeling in similar semi-arid ecosystems is limited. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Biogeosciences
volume
6
issue
1
pages
129 - 138
publisher
Copernicus Publications
external identifiers
  • wos:000262902700011
  • scopus:60949095751
ISSN
1726-4189
DOI
10.5194/bg-6-129-2009
language
English
LU publication?
yes
id
1f739abb-403c-4af2-8dc4-69062371c75c (old id 1895358)
alternative location
http://www.biogeosciences.net/6/129/2009/
http://www.biogeosciences.net/6/129/2009/bg-6-129-2009.pdf
date added to LUP
2011-08-23 16:28:52
date last changed
2017-07-30 03:38:50
@article{1f739abb-403c-4af2-8dc4-69062371c75c,
  abstract     = {One of the more frequently applied methods for integrating controls on primary production through satellite data is the Light Use Efficiency (LUE) approach. Satellite indices such as the Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) and the Shortwave Infrared Water Stress Index (SIWSI) have previously shown promise as predictors of primary production in several different environments. In this study, we evaluate NDVI, EVI and SIWSI derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) satellite sensor against in-situ measurements from central Sudan in order to asses their applicability in LUE-based primary production modeling within a water limited environment. Results show a strong correlation between vegetation indices and gross primary production (GPP), demonstrating the significance of vegetation indices for deriving information on primary production with relatively high accuracy at similar areas. Evaluation of SIWSI however, reveal that the fraction of vegetation apparently is to low for the index to provide accurate information on canopy water content, indicating that the use of SIWSI as a predictor of water stress in satellite data-driven primary production modeling in similar semi-arid ecosystems is limited.},
  author       = {Sjöström, Martin and Ardö, Jonas and Eklundh, Lars and El-Tahir, B. A. and El-Khidir, H. A. M. and Hellström, Margareta and Pilesjö, Petter and Seaquist, Jonathan},
  issn         = {1726-4189},
  language     = {eng},
  number       = {1},
  pages        = {129--138},
  publisher    = {Copernicus Publications},
  series       = {Biogeosciences},
  title        = {Evaluation of satellite based indices for gross primary production estimates in a sparse savanna in the Sudan},
  url          = {http://dx.doi.org/10.5194/bg-6-129-2009},
  volume       = {6},
  year         = {2009},
}