Webbläsaren som du använder stöds inte av denna webbplats. Alla versioner av Internet Explorer stöds inte längre, av oss eller Microsoft (läs mer här: * https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Var god och använd en modern webbläsare för att ta del av denna webbplats, som t.ex. nyaste versioner av Edge, Chrome, Firefox eller Safari osv.

Default user image.

Jonas Ardö

Professor

Default user image.

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

Författare

  • 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.

Avdelning/ar

  • Institutionen för naturgeografi och ekosystemvetenskap

Publiceringsår

2009

Språk

Engelska

Sidor

129-138

Publikation/Tidskrift/Serie

Biogeosciences

Volym

6

Issue

1

Dokumenttyp

Artikel i tidskrift

Förlag

Copernicus GmbH

Ämne

  • Physical Geography

Status

Published

Forskningsgrupp

  • remote sensing

ISBN/ISSN/Övrigt

  • ISSN: 1726-4189