%0 Journal Article
%9 ACL : Articles dans des revues avec comité de lecture répertoriées par l'AERES
%A Zribi, M.
%A Kotti, F.
%A Amri, R.
%A Wagner, W.
%A Shabou, M.
%A Lili-Chabaane, Z.
%A Baghdadi, N.
%T Soil moisture mapping in a semiarid region, based on ASAR/Wide Swath satellite data
%D 2014
%L fdi:010061981
%G ENG
%J Water Resources Research
%@ 0043-1397
%K radar ; Envisat ASAR ; soil moisture
%K TUNISIE
%M ISI:000333563900004
%N 2
%P 823-835
%R 10.1002/2012wr013405
%U https://www.documentation.ird.fr/hor/fdi:010061981
%> https://www.documentation.ird.fr/intranet/publi/2014/05/010061981.pdf
%V 50
%W Horizon (IRD)
%X In this paper, an operational algorithm is proposed for the mapping of surface moisture over the northern and central parts of Tunisia, in North Africa. A change detection approach is applied, using 160 multiincidence Envisat ASAR Wide Swath images acquired in the horizontal polarization over a 7 year period. Parameterization 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. The 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 Vienna University of Technology (TU Wien). A qualitative relationship between spatiotemporal variations of moisture and precipitation is also discussed.
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