The browser you are using is not supported by this website. All versions of Internet Explorer are no longer supported, either by us or Microsoft (read more here: https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Please use a modern browser to fully experience our website, such as the newest versions of Edge, Chrome, Firefox or Safari etc.

Petter Pilesjö

Petter Pilesjö

Professor

Petter Pilesjö

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

Author

  • Martin Sjöström
  • Jonas Ardö
  • Lars Eklundh
  • B. A. El-Tahir
  • H. A. M. El-Khidir
  • Margareta Hellström
  • Petter Pilesjö
  • Jonathan Seaquist

Summary, in English

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.

Department/s

  • Dept of Physical Geography and Ecosystem Science

Publishing year

2009

Language

English

Pages

129-138

Publication/Series

Biogeosciences

Volume

6

Issue

1

Document type

Journal article

Publisher

Copernicus GmbH

Topic

  • Physical Geography

Status

Published

Research group

  • remote sensing

ISBN/ISSN/Other

  • ISSN: 1726-4189