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Analysis of Vegetation Behavior in a North African Semi-Arid Region, Using SPOT-VEGETATION NDVI Data

hal.structure.identifierCentre d'études spatiales de la biosphère [CESBIO]
hal.structure.identifierINAT Laboratoire Recherche-Développement Sciences et Technologie de l'Eau [INAT-LRSTE]
dc.contributor.authorAMRI, Rim
hal.structure.identifierCentre d'études spatiales de la biosphère [CESBIO]
dc.contributor.authorZRIBI, Mehrez
hal.structure.identifierINAT Laboratoire Recherche-Développement Sciences et Technologie de l'Eau [INAT-LRSTE]
dc.contributor.authorLILI-CHABAANE, Zohra
hal.structure.identifierCentre d'études spatiales de la biosphère [CESBIO]
dc.contributor.authorDUCHEMIN, Benoît
hal.structure.identifierAménagement, Développement, Environnement, Santé et Sociétés [ADES]
dc.contributor.authorGRUHIER, Claire
hal.structure.identifierCentre d'études spatiales de la biosphère [CESBIO]
dc.contributor.authorCHEHBOUNI, Ghani
dc.date.created2011-11-29
dc.date.issued2011-11-29
dc.identifier.issn2072-4292
dc.description.abstractEnThe analysis of vegetation dynamics is essential in semi-arid regions, in particular because of the frequent occurrence of long periods of drought. In this paper, multi-temporal series of the Normalized Difference of Vegetation Index (NDVI), derived from SPOT-VEGETATION satellite data between September 1998 and June 2010, were used to analyze the vegetation dynamics over the semi-arid central region of Tunisia. A study of the persistence of three types of vegetation (pastures, annual agriculture and olive trees) is proposed using fractal analysis, in order to gain insight into the stability/instability of vegetation dynamics. In order to estimate the state of vegetation cover stress, we propose evaluating the properties of an index referred to as the Vegetation Anomaly Index (VAI). A positive VAI indicates high vegetation dynamics, whereas a negative VAI indicates the presence of vegetation stress. The VAI is tested for the above three types of vegetation, during the study period from 1998 to 2010, and is compared with other drought indices. The VAI is found to be strongly correlated with precipitation.
dc.language.isoen
dc.publisherMDPI
dc.subject.envegetation
dc.subject.enSPOT-VEGETATION
dc.subject.enNDVI index
dc.subject.endrought
dc.subject.enpersistence
dc.subject.enVegetation Drought Index
dc.title.enAnalysis of Vegetation Behavior in a North African Semi-Arid Region, Using SPOT-VEGETATION NDVI Data
dc.typeArticle de revue
dc.identifier.doi10.3390/rs3122568
dc.subject.halPlanète et Univers [physics]/Interfaces continentales, environnement
dc.subject.halSciences de l'environnement/Milieux et Changements globaux
dc.description.sponsorshipEuropeWater Availability and Security in Southern EuRope and the Mediterranean
bordeaux.journalRemote Sensing
bordeaux.page2568-2590
bordeaux.volume3
bordeaux.peerReviewedoui
hal.identifierhal-00908225
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-00908225v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Remote%20Sensing&rft.date=2011-11-29&rft.volume=3&rft.spage=2568-2590&rft.epage=2568-2590&rft.eissn=2072-4292&rft.issn=2072-4292&rft.au=AMRI,%20Rim&ZRIBI,%20Mehrez&LILI-CHABAANE,%20Zohra&DUCHEMIN,%20Beno%C3%AEt&GRUHIER,%20Claire&rft.genre=article


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