DocumentCode :
1507130
Title :
Investigation of directional reflectance in boreal forests with an improved four-scale model and airborne POLDER data
Author :
Leblanc, Sylvain G. ; Bicheron, Patrice ; Chen, Jing M. ; Leroy, Marc ; Cihlar, Josef
Author_Institution :
Canada Center for Remote Sensing, Ottawa, Ont., Canada
Volume :
37
Issue :
3
fYear :
1999
fDate :
5/1/1999 12:00:00 AM
Firstpage :
1396
Lastpage :
1414
Abstract :
Airborne Polarization and Directional Earth Radiation (POLDER) data acquired during the boreal ecosystem-atmosphere study (BOREAS) and the four-scale model of Chen and Leblanc (1997) are used to investigate radiative transfer in boreal forest. The four-scale model is based on forest canopy architecture at different scales. New aspects are incorporated into the model to improve the physical representation of each canopy, as follows: 1) Elaborate branch architecture is added. 2) Different crown shapes are used for conifer and deciduous forests. 3) Bilayer version of the model is introduced for forest canopies with an important understory. 4) Natural repulsion effect is considered in the tree distribution statistics. Ground measurements from BOREAS sites are used as input parameters by the model to simulate measurements of bidirectional reflectance distribution function (BRDF) from four forest canopies (old black spruce, old aspen, and old and young jack pine) acquired by the POLDER instrument from May-July 1994. The model is able to reproduce with great accuracy the BRDF of the four forests. The importance of the branch architecture and the self-shadowing of the foliage is emphasized
Keywords :
forestry; geophysical techniques; remote sensing; vegetation mapping; 443 to 910 nm; BOREAS; BRDF; IR; Picea mariana; Pinus banksiana; Populous; airborne POLDER data; aspen; bidirectional reflectance distribution function; bilayer version; black spruce; boreal forest; branch architecture; canopy architecture; conifer; crown shape; deciduous; directional reflectance; foliage; four-scale model; geophysical measurement technique; infrared; jack pine; light reflection; light scattering; optical imaging; polarimetry; polarization; remote sensing; vegetation mapping; visible region; Bidirectional control; Biological system modeling; Distribution functions; Earth; Instruments; Polarization; Reflectivity; Remote sensing; Shape; Sun;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/36.763304
Filename :
763304
Link To Document :
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