@article{fdi:010061981,
  title = {{S}oil moisture mapping in a semiarid region, based on {ASAR}/{W}ide {S}wath satellite data},
  author = {{Z}ribi, {M}. and {K}otti, {F}. and {A}mri, {R}. and {W}agner, {W}. and {S}habou, {M}. and {L}ili-{C}habaane, {Z}. and {B}aghdadi, {N}.},
  editor = {},
  language = {{ENG}},
  abstract = {{I}n this paper, an operational algorithm is proposed for the mapping of surface moisture over the northern and central parts of {T}unisia, in {N}orth {A}frica. {A} change detection approach is applied, using 160 multiincidence {E}nvisat {ASAR} {W}ide {S}wath images acquired in the horizontal polarization over a 7 year period. {P}arameterization of this algorithm is considered for three classes of vegetation cover density ({NDVI}<0.25, 0.25<{NDVI}<0.5, and {NDVI}>0.5), retrieved from {SPOT}-{VGT} decadal images. {A} relative soil moisture index, ranging between 0 (for the driest surfaces) and 1 (for saturated soils), is proposed for each date, with a resolution of 1 km. {T}he retrieved soil moistures are validated by means of ground measurements based on continuous thetaprobe measurements, as well as low-resolution (25 km) {ERS} and {ASCAT} soil moisture products from the {V}ienna {U}niversity of {T}echnology ({TU} {W}ien). {A} qualitative relationship between spatiotemporal variations of moisture and precipitation is also discussed.},
  keywords = {radar ; {E}nvisat {ASAR} ; soil moisture ; {TUNISIE}},
  booktitle = {},
  journal = {{W}ater {R}esources {R}esearch},
  volume = {50},
  numero = {2},
  pages = {823--835},
  ISSN = {0043-1397},
  year = {2014},
  DOI = {10.1002/2012wr013405},
  URL = {https://www.documentation.ird.fr/hor/fdi:010061981},
}