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MODIS EVI-based net primary production in the Sahel 2000–2014

Ardö, Jonas LU ; Tagesson, Torbern LU ; Jamali, Sadegh LU and Khatirc, Abdelrahman (2018) In International Journal of Applied Earth Observation and Geoinformation 65. p.35-45
Abstract
Africa is facing resource problems due to increasing demand combined with potential climate-induced changes in supply. Here we aim to quantify resources in terms of net primary production (NPP [g C m−2 yr−1]) of vegetation in the Sahel region for 2000–2014.

Using time series of the enhanced vegetation index (EVI) from MODIS, NPP was estimated for the Sahel region with a 500 × 500 m spatial resolution and 8-day temporal resolution. The estimates were based on local eddy covariance flux measurements from six sites in the Sahel region and the carbon use efficiency originating from a dynamic vegetation model.

No significant NPP change was found for the Sahel as a region but, for sub-regions, significant changes, both... (More)
Africa is facing resource problems due to increasing demand combined with potential climate-induced changes in supply. Here we aim to quantify resources in terms of net primary production (NPP [g C m−2 yr−1]) of vegetation in the Sahel region for 2000–2014.

Using time series of the enhanced vegetation index (EVI) from MODIS, NPP was estimated for the Sahel region with a 500 × 500 m spatial resolution and 8-day temporal resolution. The estimates were based on local eddy covariance flux measurements from six sites in the Sahel region and the carbon use efficiency originating from a dynamic vegetation model.

No significant NPP change was found for the Sahel as a region but, for sub-regions, significant changes, both increasing and decreasing, were observed. Substantial uncertainties related to NPP estimates and the small availability of evaluation data makes verification difficult. The simplicity of the methodology used, dependent on earth observation only, is considered an advantage. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Carbon use efficiency, Eddy covariance flux data, Resource assessment
in
International Journal of Applied Earth Observation and Geoinformation
volume
65
pages
35 - 45
publisher
Elsevier
external identifiers
  • scopus:85036579139
  • wos:000418312200004
DOI
language
English
LU publication?
yes
id
80a044f5-db48-4ef2-99dd-f142e28570df
date added to LUP
2017-10-18 23:47:37
date last changed
2018-06-08 12:17:44
@article{80a044f5-db48-4ef2-99dd-f142e28570df,
  abstract     = {Africa is facing resource problems due to increasing demand combined with potential climate-induced changes in supply. Here we aim to quantify resources in terms of net primary production (NPP [g C m−2 yr−1]) of vegetation in the Sahel region for 2000–2014.<br/><br/>Using time series of the enhanced vegetation index (EVI) from MODIS, NPP was estimated for the Sahel region with a 500 × 500 m spatial resolution and 8-day temporal resolution. The estimates were based on local eddy covariance flux measurements from six sites in the Sahel region and the carbon use efficiency originating from a dynamic vegetation model.<br/><br/>No significant NPP change was found for the Sahel as a region but, for sub-regions, significant changes, both increasing and decreasing, were observed. Substantial uncertainties related to NPP estimates and the small availability of evaluation data makes verification difficult. The simplicity of the methodology used, dependent on earth observation only, is considered an advantage.},
  author       = {Ardö, Jonas and Tagesson, Torbern and Jamali, Sadegh and Khatirc, Abdelrahman},
  keyword      = {Carbon use efficiency,Eddy covariance flux data,Resource assessment},
  language     = {eng},
  month        = {03},
  pages        = {35--45},
  publisher    = {Elsevier},
  series       = {International Journal of Applied Earth Observation and Geoinformation},
  title        = {MODIS EVI-based net primary production in the Sahel 2000–2014},
  url          = {http://dx.doi.org/},
  volume       = {65},
  year         = {2018},
}