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Torbern Tagesson

Forskare

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An automated field spectrometer system for studying VIS, NIR and SWIR anisotropy for semi-arid savanna

Författare

  • Silvia Huber
  • Torbern Tagesson
  • Rasmus Fensholt

Summary, in English

This paper presents the Dahra field spectrometer system (DAFIS) sited in Senegal, West Africa. DAFIS is a unique system that automatically measures the spectro-directional reflectance properties of a semi-arid savanna in the spectral range of 350-1800. nm, daily from sunrise to sunset. The instrumental setup allows studying surface anisotropy for different phenological phases. First data retrieved from the Dahra field spectrometer system show distinctive patterns of spectrally dependent anisotropic behavior: during the rainy season normalized reflectance was highest around solar noon for small off-nadir observation angles but for observations of large off-nadir angles highest values were found in the morning or evening hours (both forward and backward scatter direction). Anisotropy factors corresponding to MODIS, SPOT and SEVIRI red, near-infrared (NIR) and shortwave-infrared (SWIR) sensor response functions indicated little influence of the anisotropic behavior for savanna but vegetation indices including red/NIR (NDVI) and NIR/SWIR (SIWSI) were found to be sensitive to the view angle (NDVI and SIWSI varied by 5 and 41 %, respectively). Surprisingly, the influence from differences in shading (analyzed by measurements from forward and backward scatter direction) did not have a noticeable impact on the indices (0.2 % and 0.5 % difference for NDVI and SIWSI in the backward and forward scatter direction, respectively). The presented data show the large potential of continuous time series collected with the DAFIS system for monitoring of plant spectro-directional behavior in semi-arid African savanna for quantitative evaluation of satellite or airborne remote sensing data or development of new Earth Observation (EO) based indices and algorithms to monitor vegetation status or stress.

Publiceringsår

2014-01-01

Språk

Engelska

Sidor

547-556

Publikation/Tidskrift/Serie

Remote Sensing of Environment

Volym

152

Dokumenttyp

Artikel i tidskrift

Förlag

Elsevier

Ämne

  • Physical Geography

Nyckelord

  • Anisotropy
  • Hyperspectral
  • Multi-angular
  • Senegal
  • Spectro-directional
  • Vegetation indices

Status

Published

ISBN/ISSN/Övrigt

  • ISSN: 0034-4257