Soil moisture mapping in a semiarid region, based on ASAR/Wide Swath satellite data. Issue 2 (3rd February 2014)

• Record Type: Journal Article
• Authors: Zribi, M.; Kotti, F.; Amri, R.; Wagner, W.; Shabou, M.; Lili‐Chabaane, Z.; Baghdadi, N.
• Is Part Of: Water resources research. Volume 50:Issue 2(2014:Feb.)
• Page Start: 823
• Page End: 835
• Publication Date: 2014-02-03
• Subjects: Hydrology -- Periodicals; 333.91
• DOI: 10.1002/2012WR013405
• Languages: English
• ISSNs: 0043-1397

Abstract

<abstract abstract-type="main"> <title>Abstract</title> <p>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 &lt; 0.25, 0.25 &lt; NDVI &lt; 0.5, and NDVI &gt; 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.</p> </abstract>