Paper
30 December 1997 Analysis of the integrated (overstory/background) hyperspectral response of pine stands
Mario R. Caetano, Jose M. Cardoso Pereira
Author Affiliations +
Proceedings Volume 3222, Earth Surface Remote Sensing; (1997) https://doi.org/10.1117/12.298160
Event: Aerospace Remote Sensing '97, 1997, London, United Kingdom
Abstract
The SAIL model was used to simulate integrated (overstory/background) hyperspectral reflectance of maritime pine stands. We simulated the spectral reflectance of pine forests with different pine canopy Leaf Area Index (LAI) and with different types of vegetative and non-vegetative backgrounds. As vegetative backgrounds we used data collected on plots established over open air shrublands and that are representative, in species composition and in biomass, of the understory of the maritime pine stands in Central Portugal. As non-vegetative backgrounds we used pine needle litter, soils and pine slash, which reflectance was measured over optical dense piles of the pure materials. Results indicate that the contribution of the background cannot be neglected on the accurate estimate of pine canopy LAI in regional areas characterized by a large spatial heterogeneity of backgrounds. Results also suggest that, if one knows the pine canopy LAI, the background of maritime pine stands can be characterized for almost the whole pine canopy LAI range of maritime pine stands in Central Portugal. At the end, we present some considerations on new techniques for the exploration of remotely sensed data for the structural characterization of the overstory and background of maritime pine forests.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mario R. Caetano and Jose M. Cardoso Pereira "Analysis of the integrated (overstory/background) hyperspectral response of pine stands", Proc. SPIE 3222, Earth Surface Remote Sensing, (30 December 1997); https://doi.org/10.1117/12.298160
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KEYWORDS
Reflectivity

Vegetation

Data modeling

Ecosystems

Visualization

Hyperspectral simulation

Optical testing

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