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17 October 2006 Cost effectiveness of vegetation biophysical parameters retrieval from remote sensing data
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In the context of vegetation studies Earth Observation (E.O.) data have been extensively used to retrieve biophysical parameters of land surface. In some cases, thanks to the availability of near-real-time data, tools and applications have been developed and implemented in the fields of precision agriculture, water resources monitoring and management. So far, empirical approaches based on vegetation indices (VIs) have been successfully applied. They may provide a satisfactory level of accuracy in the estimation of important vegetation biophysical parameters (e.g. LAI, fractional ground cover, biomass, etc). Such methods, however, require a reliable reference data-set to calibrate empirical formulas on different vegetation types; furthermore, they are generally based on a few spectral bands, with a consistent under-exploitation of the full spectral range available in new generation sensors. Alternative approaches based on inversion of radiative transfer models of vegetation represent a challenging opportunity for the estimation of vegetation parameters from data with high dimensionality.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
F. Vuolo, G. D'Urso, and L. Dini "Cost effectiveness of vegetation biophysical parameters retrieval from remote sensing data", Proc. SPIE 6359, Remote Sensing for Agriculture, Ecosystems, and Hydrology VIII, 63590N (17 October 2006);

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