Paper
2 October 2008 A sensitivity analysis of a surface energy balance model to LAI (Leaf Area Index)
A. Maltese, M. Cannarozzo, F. Capodici, G. La Loggia, T. Santangelo
Author Affiliations +
Proceedings Volume 7104, Remote Sensing for Agriculture, Ecosystems, and Hydrology X; 71040K (2008) https://doi.org/10.1117/12.800333
Event: SPIE Remote Sensing, 2008, Cardiff, Wales, United Kingdom
Abstract
The LAI is a key parameter in hydrological processes, especially in the physically based distribution models. It is a critical ecosystem attribute since physiological processes such as photosynthesis, transpiration and evaporation depend on it. The diffusion of water vapor, momentum, heat and light through the canopy is regulated by the distribution and density of the leaves, branches, twigs and stems. The LAI influences the sensible heat flux H in the surface energy balance single source models through the calculation of the roughness length and of the displacement height. The aerodynamic resistance between the soil and within-canopy source height is a function of the LAI through the roughness length. This research carried out a sensitivity analysis of some of the most important parameters of surface energy balance models to the LAI time variation, in order to take into account the effects of the LAI variation with the phenological period. Finally empirical retrieved relationships between field spectroradiometric data and the field LAI measured via a light-sensitive instrument are presented for a cereal field.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
A. Maltese, M. Cannarozzo, F. Capodici, G. La Loggia, and T. Santangelo "A sensitivity analysis of a surface energy balance model to LAI (Leaf Area Index)", Proc. SPIE 7104, Remote Sensing for Agriculture, Ecosystems, and Hydrology X, 71040K (2 October 2008); https://doi.org/10.1117/12.800333
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Cited by 4 scholarly publications.
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KEYWORDS
Vegetation

Heat flux

Remote sensing

Analytical research

Resistance

Data acquisition

Data modeling

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