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Proceedings Paper

Evaluation of the importance of nonlinear spectral mixing in coniferous forests
Author(s): Mario R. Caetano; Wenge Ni; Jose M. Cardoso Pereira; Alfredo R. Huete
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Paper Abstract

We developed a simple technique to evaluate the importance of non-linear mixing in coniferous forests with different overstory structural characteristics and different backgrounds. The methodology consists on using a hybrid forest reflectance model for reflectance simulation, and on using factor analysis and target testing for unmixing the forest reflectance into three components: a forest canopy component (free of background effects), a background component (free of canopy effects) and a background-and-canopy dependent component. This third component is considered responsible for non-linearities since it depends simultaneously on the background reflectance and on the canopy transmittance. After running the model, the contribution of the third (non-linear) component to the total forest reflectance was evaluated and compared over different forest scenarios parameterized with data collected on maritime pine stands in Central Portugal.

Paper Details

Date Published: 11 December 1998
PDF: 13 pages
Proc. SPIE 3499, Remote Sensing for Agriculture, Ecosystems, and Hydrology, (11 December 1998); doi: 10.1117/12.332758
Show Author Affiliations
Mario R. Caetano, Ctr. Nacional de Informacao Geografica (Portugal)
Wenge Ni, Hughes STX (United States)
Jose M. Cardoso Pereira, Instituto Superior de Agronomia (Portugal)
Alfredo R. Huete, Univ. of Arizona (United States)

Published in SPIE Proceedings Vol. 3499:
Remote Sensing for Agriculture, Ecosystems, and Hydrology
Edwin T. Engman, Editor(s)

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