Paper
11 December 1998 Evaluation of the importance of nonlinear spectral mixing in coniferous forests
Mario R. Caetano, Wenge Ni, Jose M. Cardoso Pereira, Alfredo R. Huete
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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.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mario R. Caetano, Wenge Ni, Jose M. Cardoso Pereira, and Alfredo R. Huete "Evaluation of the importance of nonlinear spectral mixing in coniferous forests", Proc. SPIE 3499, Remote Sensing for Agriculture, Ecosystems, and Hydrology, (11 December 1998); https://doi.org/10.1117/12.332758
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Cited by 16 patents.
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KEYWORDS
Reflectivity

Near infrared

Multiple scattering

Sensors

Transmittance

Data modeling

Ecosystems

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