@incollection{fdi:010084418,
  title = {{D}rought assessment using micro-wave timeseries of precipitation and soil moisture over the {M}ena region},
  author = {{N}ajem, {S}. and {A}l {B}itar, {A}. and {F}aour, {G}. and {J}arlan, {L}ionel and {M}hawej, {M}. and {F}adel, {A}. and {Z}ribi, {M}.},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he {M}iddle {E}ast-{N}orth {A}frica ({MENA}) region has a prevailing hot and dry climate. {T}he increasing demographic pressure brings an increased demand on water resources. {I}n this study, we analyzed the drought dynamics using precipitation and soil moisture remote sensing data over the {MENA} region in the last two decades. {T}wo types of remotely sensed micro-wave datasets (i.e. {TRMM} 3{B}43 and {ESA}-{CCI} {SM}) were used, to depict meteorological and agricultural droughts. {O}ur results showed that the {S}tandardized {P}recipitation {I}ndex ({SPI}) [1] from {TRMM} showed a good correlation with {SPI} from in-situ rainfall data and predicted successfully historical droughts. {T}he standardized index shows lesser extreme agricultural droughts than meteorological drought for the same period. {T}he region faced the biggest number of extreme meteorological droughts in 2015 and the biggest number of extreme agricultural droughts in 2013. {T}hese outputs help local and regional water management authorities as well as policy makers in combating water scarcity in the region. {F}urther studies will look into optical remote sensing},
  keywords = {{ALGERIE} ; {MAROC} ; {TUNISIE} ; {EGYPTE} ; {ARABIE} {SAOUDITE} ; {OMAN}},
  booktitle = {2020 {M}editerranean and {M}iddle-{E}ast {G}eoscience and {R}emote {S}ensing {S}ymposium ({M}2{GARSS})},
  numero = {},
  pages = {289--292},
  address = {{P}iscataway},
  publisher = {{IEEE}},
  series = {},
  year = {2020},
  DOI = {10.1109/{M}2{GARSS}47143.2020.9105262},
  ISBN = {978-1-7281-2191-8},
  URL = {https://www.documentation.ird.fr/hor/fdi:010084418},
}