AMRI, Rim; ZRIBI, Mehrez; LILI-CHABAANE, Zohra; DUCHEMIN, Benoît; GRUHIER, Claire; CHEHBOUNI, Ghani

doi:10.3390/rs3122568

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AMRI, Rim
Centre d'études spatiales de la biosphère [CESBIO]
INAT Laboratoire Recherche-Développement Sciences et Technologie de l'Eau [INAT-LRSTE]

ZRIBI, Mehrez
Centre d'études spatiales de la biosphère [CESBIO]

LILI-CHABAANE, Zohra
INAT Laboratoire Recherche-Développement Sciences et Technologie de l'Eau [INAT-LRSTE]

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Article de revue

Ce document a été publié dans

Remote Sensing. 2011-11-29, vol. 3, p. 2568-2590

MDPI

Résumé en anglais

The 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.< Réduire

Mots clés en anglais

vegetation

SPOT-VEGETATION

NDVI index

drought

persistence

Vegetation Drought Index

DOI

http://dx.doi.org/10.3390/rs3122568

Projet Européen

Water Availability and Security in Southern EuRope and the Mediterranean

Origine

Importé de hal

Unités de recherche

Passages - UMR 5319