@article{fdi:010057126,
  title = {{A}nalysis of vegetation behavior in a {N}orth {A}frican semi-arid region, using {SPOT}-{VEGETATION} {NDVI} {D}ata},
  author = {{A}mri, {R}. and {Z}ribi, {M}ehrez and {L}ili-{C}habaane, {Z}. and {D}uchemin, {B}eno{\^i}t and {G}ruhier, {C}. and {C}hehbouni, {A}bdelghani},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he analysis of vegetation dynamics is essential in semi-arid regions, in particular because of the frequent occurrence of long periods of drought. {I}n this paper, multi-temporal series of the {N}ormalized {D}ifference of {V}egetation {I}ndex ({NDVI}), derived from {SPOT}-{VEGETATION} satellite data between {S}eptember 1998 and {J}une 2010, were used to analyze the vegetation dynamics over the semi-arid central region of {T}unisia. {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. {I}n order to estimate the state of vegetation cover stress, we propose evaluating the properties of an index referred to as the {V}egetation {A}nomaly {I}ndex ({VAI}). {A} positive {VAI} indicates high vegetation dynamics, whereas a negative {VAI} indicates the presence of vegetation stress. {T}he {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. {T}he {VAI} is found to be strongly correlated with precipitation.},
  keywords = {vegetation ; {SPOT}-{VEGETATION} ; {NDVI} index ; drought ; persistence ; {V}egetation {D}rought {I}ndex ; {TUNISIE} ; {ZONE} {ARIDE}},
  booktitle = {},
  journal = {{R}emote {S}ensing},
  volume = {3},
  numero = {12},
  pages = {2568--2590},
  ISSN = {2072-4292},
  year = {2011},
  DOI = {10.3390/rs3122568},
  URL = {https://www.documentation.ird.fr/hor/fdi:010057126},
}