Contribution of NOAA- AVHRR data to African savan nahs Characterization

The Advanced Very High Resolution Radiometer (AVHRR) is currently used for vegetation monitoring. Information on the state and evolution of the vegetation cover on continental areas is routinely obtained from Global Vegetation Index data (GVI). In this paper some aspects of continental level, biome features were interpreted from a global scale GVI time series acquired with the NOAA/AVHRR between 1986 and 1990. A biome classification scheme for Africa is proposed. NOAA/AVHRR data were submitted to a cloud filtering algorithm, subsequently calibrated and corrected for atmospheric perturbations. Typical behaviour of Normalised Difference Vegetation Index (NDVI) temporal evolution derived from the AVHRR are classified, colour coded, and mapped to be compared with classical biome cartographic information. Analysis of the temporal GVI shows, that the spatial organisation of natural biomes in Africa changes within a single growing season. Transition zones between major ecological zones can clearly be identified. Furthermore, closer examination of GVI temporal variations, reveals year to year differences assumed to be the result of changes in landscape structure. Results illustrate that this approach is appropriate to describe vegetation temporal dynamics. The approach shows potential to describe climatic and human interactions with African biomes. In this paper results are presented and limitations will be discussed.

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Main Author: Gond, Valéry
Format: conference_item biblioteca
Language:eng
Published: s.n.
Subjects:U30 - Méthodes de recherche, F40 - Écologie végétale, P01 - Conservation de la nature et ressources foncières, végétation, http://aims.fao.org/aos/agrovoc/c_8176, http://aims.fao.org/aos/agrovoc/c_165,
Online Access:http://agritrop.cirad.fr/550400/
http://agritrop.cirad.fr/550400/1/document_550400.pdf
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spelling dig-cirad-fr-5504002024-01-28T17:22:48Z http://agritrop.cirad.fr/550400/ http://agritrop.cirad.fr/550400/ Contribution of NOAA- AVHRR data to African savan nahs Characterization. Gond Valéry. 2005. In : Planatery Garden 05 "Savannas Future", 25-29 septembre 2005, Maceio, Brasil. s.l. : s.n., 10 p. Planatery Garden 05 "Savannas Future", Maceio, Brésil, 25 Septembre 2005/29 Septembre 2005. Contribution of NOAA- AVHRR data to African savan nahs Characterization Gond, Valéry eng 2005 s.n. Planatery Garden 05 "Savannas Future", 25-29 septembre 2005, Maceio, Brasil U30 - Méthodes de recherche F40 - Écologie végétale P01 - Conservation de la nature et ressources foncières végétation http://aims.fao.org/aos/agrovoc/c_8176 Afrique http://aims.fao.org/aos/agrovoc/c_165 The Advanced Very High Resolution Radiometer (AVHRR) is currently used for vegetation monitoring. Information on the state and evolution of the vegetation cover on continental areas is routinely obtained from Global Vegetation Index data (GVI). In this paper some aspects of continental level, biome features were interpreted from a global scale GVI time series acquired with the NOAA/AVHRR between 1986 and 1990. A biome classification scheme for Africa is proposed. NOAA/AVHRR data were submitted to a cloud filtering algorithm, subsequently calibrated and corrected for atmospheric perturbations. Typical behaviour of Normalised Difference Vegetation Index (NDVI) temporal evolution derived from the AVHRR are classified, colour coded, and mapped to be compared with classical biome cartographic information. Analysis of the temporal GVI shows, that the spatial organisation of natural biomes in Africa changes within a single growing season. Transition zones between major ecological zones can clearly be identified. Furthermore, closer examination of GVI temporal variations, reveals year to year differences assumed to be the result of changes in landscape structure. Results illustrate that this approach is appropriate to describe vegetation temporal dynamics. The approach shows potential to describe climatic and human interactions with African biomes. In this paper results are presented and limitations will be discussed. conference_item info:eu-repo/semantics/conferenceObject Conference info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/550400/1/document_550400.pdf application/pdf Cirad license info:eu-repo/semantics/openAccess https://agritrop.cirad.fr/mention_legale.html http://catalogue-bibliotheques.cirad.fr/cgi-bin/koha/opac-detail.pl?biblionumber=205287
institution CIRAD FR
collection DSpace
country Francia
countrycode FR
component Bibliográfico
access En linea
databasecode dig-cirad-fr
tag biblioteca
region Europa del Oeste
libraryname Biblioteca del CIRAD Francia
language eng
topic U30 - Méthodes de recherche
F40 - Écologie végétale
P01 - Conservation de la nature et ressources foncières
végétation
http://aims.fao.org/aos/agrovoc/c_8176
http://aims.fao.org/aos/agrovoc/c_165
U30 - Méthodes de recherche
F40 - Écologie végétale
P01 - Conservation de la nature et ressources foncières
végétation
http://aims.fao.org/aos/agrovoc/c_8176
http://aims.fao.org/aos/agrovoc/c_165
spellingShingle U30 - Méthodes de recherche
F40 - Écologie végétale
P01 - Conservation de la nature et ressources foncières
végétation
http://aims.fao.org/aos/agrovoc/c_8176
http://aims.fao.org/aos/agrovoc/c_165
U30 - Méthodes de recherche
F40 - Écologie végétale
P01 - Conservation de la nature et ressources foncières
végétation
http://aims.fao.org/aos/agrovoc/c_8176
http://aims.fao.org/aos/agrovoc/c_165
Gond, Valéry
Contribution of NOAA- AVHRR data to African savan nahs Characterization
description The Advanced Very High Resolution Radiometer (AVHRR) is currently used for vegetation monitoring. Information on the state and evolution of the vegetation cover on continental areas is routinely obtained from Global Vegetation Index data (GVI). In this paper some aspects of continental level, biome features were interpreted from a global scale GVI time series acquired with the NOAA/AVHRR between 1986 and 1990. A biome classification scheme for Africa is proposed. NOAA/AVHRR data were submitted to a cloud filtering algorithm, subsequently calibrated and corrected for atmospheric perturbations. Typical behaviour of Normalised Difference Vegetation Index (NDVI) temporal evolution derived from the AVHRR are classified, colour coded, and mapped to be compared with classical biome cartographic information. Analysis of the temporal GVI shows, that the spatial organisation of natural biomes in Africa changes within a single growing season. Transition zones between major ecological zones can clearly be identified. Furthermore, closer examination of GVI temporal variations, reveals year to year differences assumed to be the result of changes in landscape structure. Results illustrate that this approach is appropriate to describe vegetation temporal dynamics. The approach shows potential to describe climatic and human interactions with African biomes. In this paper results are presented and limitations will be discussed.
format conference_item
topic_facet U30 - Méthodes de recherche
F40 - Écologie végétale
P01 - Conservation de la nature et ressources foncières
végétation
http://aims.fao.org/aos/agrovoc/c_8176
http://aims.fao.org/aos/agrovoc/c_165
author Gond, Valéry
author_facet Gond, Valéry
author_sort Gond, Valéry
title Contribution of NOAA- AVHRR data to African savan nahs Characterization
title_short Contribution of NOAA- AVHRR data to African savan nahs Characterization
title_full Contribution of NOAA- AVHRR data to African savan nahs Characterization
title_fullStr Contribution of NOAA- AVHRR data to African savan nahs Characterization
title_full_unstemmed Contribution of NOAA- AVHRR data to African savan nahs Characterization
title_sort contribution of noaa- avhrr data to african savan nahs characterization
publisher s.n.
url http://agritrop.cirad.fr/550400/
http://agritrop.cirad.fr/550400/1/document_550400.pdf
work_keys_str_mv AT gondvalery contributionofnoaaavhrrdatatoafricansavannahscharacterization
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