DocumentCode :
1485018
Title :
A field goniometer system (FIGOS) for acquisition of hyperspectral BRDF data
Author :
Sandmeier, Stefan R. ; Itten, Klaus I.
Author_Institution :
Dept. of Geogr., Zurich Univ., Switzerland
Volume :
37
Issue :
2
fYear :
1999
fDate :
3/1/1999 12:00:00 AM
Firstpage :
978
Lastpage :
986
Abstract :
A new field goniometer system (FIGOS) is introduced that allows in situ measurements of hyperspectral bidirectional reflectance data under natural illumination conditions. Hyperspectral bidirectional reflectance distribution function (BRDF) data sets taken with FIGOS nominally cover the spectral range between 300 and 2450 nm in 704 bands. Typical targets are small-growing, dense, and homogeneous vegetation canopies, man-made surfaces, and soils. Field BRDF data of a perennial ryegrass surface reveal a strong spectral variability. In the blue and red chlorophyll absorption bands, BRDF effects are strong. Less-pronounced bidirectional reflectance effects are observed in the green and in most of the near-infrared range there surface reflectance is high. An anisotropy index (ANIX), defined as the ratio between the maximum and minimum bidirectional reflectance over the hemisphere, is introduced as a surrogate measurement for the extent of spectral BRDF effects. The ANIX data of the ryegrass surface show a very high correlation with nadir reflectance due to multiple scattering effects. Since canopy geometry, multiple scattering, and BRDF effects are related, these findings may help to derive canopy architecture parameters, such as leaf area index (LAI) or leaf angle distribution (LAD) from remotely sensed hyperspectral BRDF data. Furthermore, they show that normalized difference vegetation index (NDVI) data are strongly biased by the spectral variability of BRDF effects
Keywords :
geophysical equipment; geophysical techniques; goniometers; remote sensing; terrain mapping; vegetation mapping; 300 to 2450 nm; BRDF; FIGOS; IR; LAD; LAI; NDVI; anisotropy index; bidirectional reflectance distribution function; chlorophyll; equipment; field goniometer system; geophysical measurement technique; grass; hyperspectral method; infrared; land surface; leaf angle distribution; leaf area index; man-made surface; multispectral remote sensing; natural illumination conditions; normalized difference vegetation index; optical instrument; ryegrass; soil; terrain mapping; vegetation mapping; visible; Absorption; Bidirectional control; Distribution functions; Goniometers; Hyperspectral imaging; Hyperspectral sensors; Lighting; Reflectivity; Soil measurements; Vegetation;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/36.752216
Filename :
752216
Link To Document :
بازگشت