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Proceedings Paper

Evaluation of a multistory forest canopy remote sensing model driven by stand-level architecture
Author(s): James Alan Smith; K. Jon Ranson; Robert G. Knox; John F. Weishampel; Elissa R. Levine; Darrel L. Williams; Y. Shimabukuro
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Paper Abstract

A Monte Carlo ray tracing model for canopy birdirectional reflectance is applied to forest canopy architectures consisting of inhomogeneous mixtures of coniferous and both shade- tolerant and intolerant hardwood species. The model assumes a multi-layered canopy of known optical properties, statistical composition and geometric arrangement and, for the results reported here, further assumed Lambertian scattering of canopy elements. Upward and downward direct, diffuse and multiply scattered solar irradiance is traced through the canopy and from a reflecting background. The stand-level architecture for the model was derived from a forest growth succession model which predicted canopy structure height profiles as a function of site condition and environmental driving variables. Fifteen theoretical successional stages consisting of five age class distributions for three different site indices were simulated using the forest growth model. Fifteen forest growth replications for each of the forest plots were generated. Monte Carlo reflectance predictions were then made for each of these theoretical cases with ten canopy reflectance replications per plot. The model was applied to field and aircraft data collected September 8, 1990 from a hemlock-spruce-fir forest canopy at the Northern Experimental Forest study site near Howland, Maine, the location of a NASA sponsored Forest Ecosystem Dynamics Multi-sensor Aircraft Campaign. Model predicted bidirectional reflectance distribution functions are compared to representative samples of AVIRIS (airborne visible/infrared imaging spectrometer) observations corresponding to successional age class distributions of 50, 75, 100 and 200 years for dry mesic and wet sites.

Paper Details

Date Published: 31 January 1995
PDF: 7 pages
Proc. SPIE 2314, Multispectral and Microwave Sensing of Forestry, Hydrology, and Natural Resources, (31 January 1995); doi: 10.1117/12.200739
Show Author Affiliations
James Alan Smith, NASA Goddard Space Flight Ctr. (United States)
K. Jon Ranson, NASA Goddard Space Flight Ctr. (United States)
Robert G. Knox, NASA Goddard Space Flight Ctr. (United States)
John F. Weishampel, NASA Goddard Space Flight Ctr. (United States)
Elissa R. Levine, NASA Goddard Space Flight Ctr. (United States)
Darrel L. Williams, NASA Goddard Space Flight Ctr. (United States)
Y. Shimabukuro, NASA Goddard Space Flight Ctr. (United States)

Published in SPIE Proceedings Vol. 2314:
Multispectral and Microwave Sensing of Forestry, Hydrology, and Natural Resources
Eric Mougin; K. Jon Ranson; James Alan Smith, Editor(s)

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