DocumentCode :
2480186
Title :
A modelling study of BRDF canopy and radiation regime for boreal forests
Author :
Zagolski, F. ; Guillevic, P. ; Gastellu-Etchegorry, J.P. ; Gaillard, C. ; Deering, D. ; Leroy, M.
Author_Institution :
PRIVATEERS N.V., St. Maarten, Netherlands
Volume :
4
fYear :
1997
fDate :
3-8 Aug 1997
Firstpage :
1787
Abstract :
This paper presents a new radiative transfer modelling approach, for retrieving information on forest structural characteristics and photosynthetic activity, both directly through an accurate computation of 3D photosynthetically active radiation (PAR) regime, and indirectly with the simulation of remote sensing measurements. The DART model was used for investigating spectral behavior and PAR environment of boreal forest in Canada. The main features of BRDF (bidirectional reflectance factor distribution) anisotropy are clearly comparison between simulated and (PARABOLA, CASI, POLDER) BRDFs stresses the potential of DART, but also the importance and difficulty to use accurate field data. Differences in forest architectures induce distinct PAR transmission and 3D absorbed PAR (APAR), and their influence on canopy photosynthesis is illustrated with the coupling of the DART model with a leaf model
Keywords :
forestry; geophysical techniques; remote sensing; BRDF; DART model; PAR; absorbed PAR; bidirectional reflectance distribution function; bidirectional reflectance factor distribution; boreal forest; canopy; forestry; geophysical measurement technique; leaf model; modelling; optical imaging; photosynthetic activity; photosynthetically active radiation; radiation regime; radiative transfer model; remote sensing; structural characteristics; three dimensional structure; vegetation mapping; Anisotropic magnetoresistance; Computational modeling; Electromagnetic radiation; Electromagnetic scattering; Lighting; Optical scattering; Production; Remote sensing; Shape measurement; Stress;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing, 1997. IGARSS '97. Remote Sensing - A Scientific Vision for Sustainable Development., 1997 IEEE International
Print_ISBN :
0-7803-3836-7
Type :
conf
DOI :
10.1109/IGARSS.1997.609073
Filename :
609073
Link To Document :
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