Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6346391 | Remote Sensing of Environment | 2014 | 10 Pages |
Abstract
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 350-1800Â 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.
Related Topics
Physical Sciences and Engineering
Earth and Planetary Sciences
Computers in Earth Sciences
Authors
Silvia Huber, Torbern Tagesson, Rasmus Fensholt,