@article{fdi:010082580,
  title = {{A}nalysis of agronomic drought in a highly anthropogenic context based on satellite monitoring of vegetation and soil moisture},
  author = {{Z}ribi, {M}. and {N}ativel, {S}. and {L}e {P}age, {M}ichel},
  editor = {},
  language = {{ENG}},
  abstract = {{T}his paper aims to analyze agronomic drought in a highly anthropogenic, semiarid region, the western {M}editerranean region. {T}he proposed study is based on {M}oderate-{R}esolution {I}maging {S}pectroradiometer ({MODIS}) and {A}dvanced {SCAT}terometer ({ASCAT}) satellite data describing the dynamics of vegetation cover and soil water content through the {N}ormalized {D}ifference {V}egetation {I}ndex ({NDVI}) and {S}oil {W}ater {I}ndex ({SWI}). {T}wo drought indices were analyzed: the {V}egetation {A}nomaly {I}ndex ({VAI}) and the {M}oisture {A}nomaly {I}ndex ({MAI}). {T}he dynamics of the {VAI} were analyzed as a function of land cover deduced from the {C}opernicus land cover map. {T}he effect of land cover and anthropogenic agricultural activities such as irrigation on the estimation of the drought index {VAI} was analyzed. {T}he {VAI} dynamics were very similar for the shrub and forest classes. {T}he contribution of vegetation cover ({VAI}) was combined with the effect of soil water content ({MAI}) through a new drought index called the global drought index ({GDI}) to conduct a global analysis of drought conditions. {T}he implementation of this combination on different test areas in the study region is discussed.},
  keywords = {drought index ; {ASCAT} ; {MODIS} ; {VAI} ; {MAI} ; {GDI} ; {ESPAGNE} ; {MAROC} ; {ALGERIE} ; {TUNISIE} ; {KAIROUAN} ; {ANDALOUSIE} ; {AIN} {DEFLA}},
  booktitle = {},
  journal = {{R}emote {S}ensing},
  volume = {13},
  numero = {14},
  pages = {2698 [21 ]},
  year = {2021},
  DOI = {10.3390/rs13142698},
  URL = {https://www.documentation.ird.fr/hor/fdi:010082580},
}