Analyse de sensibilité des indices de végétation au-dessus d'un couvert forestier de sapin: Étude comparative à partir des données de simulation entre MODIS-EOS, VEGETATION-SPOT and AVHRR-NOAA
type: CreativeWork
description: The goal of this thesis aims two fundamental points. The first consists in making the development on the optimal spectral index to characterize the dynamics of a forest cover of a fir tree independently of the internal (underlying soil, topography, saturation and linearity) and external disturbing factors (BRDF and atmosphere) to covers starting from the data of simulation. The second point makes it possible to compare for the first time the potential of three spectral resolutions different (fine, average and broad) from sensors MODIS-EOS, VEGETATION-SPOT and AVHRR-NOAA to minimize the disturbing effects on the indices of vegetation in forest medium. The results obtained show that in general, the influence of the disturbing effects on the indexes of vegetation are complex. There is not only one component which dominates the met variations, but rather, of the combined influences of several factors. (Abstract shortened by UMI.)
abstract: The goal of this thesis aims two fundamental points. The first consists in making the development on the optimal spectral index to characterize the dynamics of a forest cover of a fir tree independently of the internal (underlying soil, topography, saturation and linearity) and external disturbing factors (BRDF and atmosphere) to covers starting from the data of simulation. The second point makes it possible to compare for the first time the potential of three spectral resolutions different (fine, average and broad) from sensors MODIS-EOS, VEGETATION-SPOT and AVHRR-NOAA to minimize the disturbing effects on the indices of vegetation in forest medium. The results obtained show that in general, the influence of the disturbing effects on the indexes of vegetation are complex. There is not only one component which dominates the met variations, but rather, of the combined influences of several factors. (Abstract shortened by UMI.)
author: Asalhi, Hayatte
language: fr
keywords: Physical Geography., Remote Sensing.
identifier: Source: Masters Abstracts International, Volume: 41-06, page: 1689.
date published: 2013-11-07T17:24:02Z
date modified: 2026-07-24T03:39:36Z
provider: University of Ottawa
publisher: Networked Digital Library of Theses and Dissertations
type: WebPage
source organization: University of Ottawa (Canada)

PropertyValue
property ID: Handle
value: http://hdl.handle.net/10393/26354

PropertyValue
property ID: DOI
value: 10.20381/ruor-18152