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

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

Research output: Contribution to journalArticlepeer-review

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.
Original languageEnglish
Pages (from-to)129-138
JournalBiogeosciences
Volume6
Issue number1
DOIs
Publication statusPublished - 2009

Subject classification (UKÄ)

  • Physical Geography

Fingerprint

Dive into the research topics of 'Evaluation of satellite based indices for gross primary production estimates in a sparse savanna in the Sudan'. Together they form a unique fingerprint.

Cite this