Evaluation of a multistory forest canopy remote sensing model driven by stand-level architecture

James Alan Smith; K. Jon Ranson; Robert G. Knox; John F. Weishampel; Elissa R. Levine; Darrel L. Williams; Y. Shimabukuro

doi:10.1117/12.200739

31 January 1995 Evaluation of a multistory forest canopy remote sensing model driven by stand-level architecture

James Alan Smith, K. Jon Ranson, Robert G. Knox, John F. Weishampel, Elissa R. Levine, Darrel L. Williams, Y. Shimabukuro

Author Affiliations +

Proceedings Volume 2314, Multispectral and Microwave Sensing of Forestry, Hydrology, and Natural Resources; (1995) https://doi.org/10.1117/12.200739
Event: Satellite Remote Sensing, 1994, Rome, Italy

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.

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James Alan Smith, K. Jon Ranson, Robert G. Knox, John F. Weishampel, Elissa R. Levine, Darrel L. Williams, and Y. Shimabukuro "Evaluation of a multistory forest canopy remote sensing model driven by stand-level architecture", Proc. SPIE 2314, Multispectral and Microwave Sensing of Forestry, Hydrology, and Natural Resources, (31 January 1995); https://doi.org/10.1117/12.200739

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KEYWORDS

Reflectivity

Monte Carlo methods

Solar radiation models

Remote sensing

Statistical modeling

Data modeling

Ecosystems

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