Title :
Winter boreal forest canopy BRF results: comparisons between airborne data, laboratory simulations and geometrical-optical model data
Author :
Soffer, R.J. ; Miller, J.R. ; Wanner, W. ; Strahler, A.
Author_Institution :
Centre for Res. in Earth & Space Sci., York Univ., North York, Ont., Canada
Abstract :
A uniform mature jack pine stand was the subject of detailed airborne and field optical measurements as part of the BOReal Ecosystem-Atmosphere Study (BOREAS) under typical winter conditions. Airborne multi-angle imagery was collected on February 8, 1994 with the Compact Airborne Spectrographic Imager (CASI). The airborne data in the solar plane, converted to surface reflectance, provided a direct measure of the canopy bidirectional reflectance factors. Input data required to evaluate the Li and Strahler geometric-optical/mutual shadowing model were acquired on the day prior to the airborne data acquisition. In addition, a scale laboratory canopy model was created of a portion of the BOREAS jack pine site, complete with architectural tree models, replication of the stem map based on aerial photography and a salt background to mimic snow. This model canopy was viewed with the CASI sensor over a wide range of zenith angles within the controlled environment of the laboratory. GOMS simulations of the model canopy were rigorously compared with BRFs extracted from the resulting high resolution imagery
Keywords :
forestry; geophysical techniques; infrared imaging; remote sensing; AD 1994 02; BOREAS; BRF; CASI; Compact Airborne Spectrographic Imager; IR imaging; bidirectional reflectance factor; forest forestry; geometrical-optical model; geophysical measurement technique; jack pine; model canopy; multiangle imagery; optical imaging; remote sensing; season; simulation; surface reflectance; vegetation mapping; visible infrared; winter boreal forest canopy; Bidirectional control; Data acquisition; Image converters; Laboratories; Lifting equipment; Optical sensors; Photography; Reflectivity; Shadow mapping; Solid modeling;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1995. IGARSS '95. 'Quantitative Remote Sensing for Science and Applications', International
Conference_Location :
Firenze
Print_ISBN :
0-7803-2567-2
DOI :
10.1109/IGARSS.1995.520589