@article{fdi:010084721,
  title = {{A}nalysis of multispectral drought indices in central {T}unisia},
  author = {{F}arhani, {N}. and {C}arreau, {J}ulie and {K}assouk, {Z}. and {L}e {P}age, {M}ichel and {C}habaane, {Z}. {L}. and {B}oulet, {G}illes},
  editor = {},
  language = {{ENG}},
  abstract = {{S}urface water stress remote sensing indices can be very helpful to monitor the impact of drought on agro-ecosystems, and serve as early warning indicators to avoid further damages to the crop productivity. {I}n this study, we compare indices from three different spectral domains: the plant water use derived from evapotranspiration retrieved using data from the thermal infrared domain, the root zone soil moisture at low resolution derived from the microwave domain using the {S}oil {W}ater {I}ndex ({SWI}), and the active vegetation fraction cover deduced from the {N}ormalized {D}ifference {V}egetation {I}ndex ({NDVI}) time series. {T}he thermal stress index is computed from a dual-source model {S}oil {P}lant {A}tmosphere and {R}emote {E}vapotranspiration ({SPARSE}) that relies on meteorological variables and remote sensing data. {I}n order to extend in time the available meteorological series, we compare the use of a statistical downscaling method applied to reanalysis data with the use of the unprocessed reanalysis data. {O}ur study shows that thermal indices show comparable performance overall compared to the {SWI} at better resolution. {H}owever, thermal indices are more sensitive for a drought period and tend to react quickly to water stress.},
  keywords = {indicators ; droughts ; evapotranspiration ; reanalyses ; {TUNISIE}},
  booktitle = {},
  journal = {{R}emote {S}ensing},
  volume = {14},
  numero = {8},
  pages = {1813 [27 ]},
  year = {2022},
  DOI = {10.3390/rs14081813},
  URL = {https://www.documentation.ird.fr/hor/fdi:010084721},
}