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Comparison of carbon assimilation estimates over tropical forest types in India based on different satellite and climate data products

Joseph, Shijo ; van Laake, Patrick E. ; Thomas, A. P. and Eklundh, Lars LU (2012) In ITC Journal 18. p.557-563
Abstract
Carbon assimilation defined as the overall rate of fixation of carbon through the process of photosynthesis is central to the climate change research. The present study compares the two well-known algorithms in satellite based carbon assimilation estimation, the Vegetation Photosynthesis Model (VPM) and the MOD 17A2 GPP Model, over the tropical forest types in India for a period of two years (September, 2006-August, 2008). The results indicate that the evergreen forest assimilate carbon at a higher rate while the rate is lower for montane grasslands. The comparison between the model results shows that there are large differences between these estimates, and that the spatial resolution of the input datasets plays a larger role than the... (More)
Carbon assimilation defined as the overall rate of fixation of carbon through the process of photosynthesis is central to the climate change research. The present study compares the two well-known algorithms in satellite based carbon assimilation estimation, the Vegetation Photosynthesis Model (VPM) and the MOD 17A2 GPP Model, over the tropical forest types in India for a period of two years (September, 2006-August, 2008). The results indicate that the evergreen forest assimilate carbon at a higher rate while the rate is lower for montane grasslands. The comparison between the model results shows that there are large differences between these estimates, and that the spatial resolution of the input datasets plays a larger role than the algorithms of the models. The comparison exercise will be helpful for the refinement and development of the existing and future GPP models by incorporating the empirical environmental conditions. (C) 2011 Elsevier B.V. All rights reserved. (Less)
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organization
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Contribution to journal
publication status
published
subject
keywords
Light use efficiency, Gross primary productivity, Vegetation, Photosynthesis Model, MODIS GPP product, Western Ghats
in
ITC Journal
volume
18
pages
557 - 563
publisher
Elsevier
external identifiers
  • wos:000306198900052
  • scopus:84864499680
ISSN
0303-2434
DOI
10.1016/j.jag.2011.10.008
language
English
LU publication?
yes
id
5f39b76d-770f-470c-b103-344c34be2a91 (old id 2994892)
date added to LUP
2016-04-01 13:27:45
date last changed
2020-01-12 12:24:06
@article{5f39b76d-770f-470c-b103-344c34be2a91,
  abstract     = {Carbon assimilation defined as the overall rate of fixation of carbon through the process of photosynthesis is central to the climate change research. The present study compares the two well-known algorithms in satellite based carbon assimilation estimation, the Vegetation Photosynthesis Model (VPM) and the MOD 17A2 GPP Model, over the tropical forest types in India for a period of two years (September, 2006-August, 2008). The results indicate that the evergreen forest assimilate carbon at a higher rate while the rate is lower for montane grasslands. The comparison between the model results shows that there are large differences between these estimates, and that the spatial resolution of the input datasets plays a larger role than the algorithms of the models. The comparison exercise will be helpful for the refinement and development of the existing and future GPP models by incorporating the empirical environmental conditions. (C) 2011 Elsevier B.V. All rights reserved.},
  author       = {Joseph, Shijo and van Laake, Patrick E. and Thomas, A. P. and Eklundh, Lars},
  issn         = {0303-2434},
  language     = {eng},
  pages        = {557--563},
  publisher    = {Elsevier},
  series       = {ITC Journal},
  title        = {Comparison of carbon assimilation estimates over tropical forest types in India based on different satellite and climate data products},
  url          = {http://dx.doi.org/10.1016/j.jag.2011.10.008},
  doi          = {10.1016/j.jag.2011.10.008},
  volume       = {18},
  year         = {2012},
}