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Please use this identifier to cite or link to this item: http://hdl.handle.net/2108/131

Title: Estimation of coniferous vegetation parameters by hyperspectral high spatial resolution satellite images
Authors: Del Frate, Fabio
Benedetti, Riccardo
Maselli, Fabio
Cristofori, Simone
Keywords: leaf area index
FaPAR
NDVI
radiative transfer
soil reflectance
CHRIS-PROBA
Issue Date: 22-Nov-2005
Abstract: The aim of this work is the development and implementation of a new fast and stable algorithm able to create maps of some key vegetation paramenters, which contribute to describe the status of vegetation canopy. The procedure will generate images of retrieved LAI, FaPAR and soil reflectances, in addition to the usual NDVI maps which are immediately calculated by NIR and RED reflectances. Model will analyse data acquired by CHRIS sensor, an experimental hyperspectral high spatial resolution radiometer, on board of PROBA platform. It is reasonably supposed that such analysis will allows us to test the quality and accuracy of images. This is an important aspect for two reasons: the former is that, as previously said, images are acquired by an experimental sensor, which can show istortion in optics, electronic or, simply, in calibration procedure. The latter is that when reflectance data are used to estimate vegetation parameters atmospherical correction algorithms have to be applied in o...
Description: 17. Ciclo
URI: http://hdl.handle.net/2108/131
Appears in Collections:Tesi di dottorato in ingegneria

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