Soil moisture mapping in a semiarid region, based on ASAR/Wide Swath satellite data

Soil moisture mapping in a semiarid region, based on ASAR/Wide Swath satellite data

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 ye...

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Veröffentlicht in:Water resources research 2014-02, Vol.50 (2), p.823-835
Hauptverfasser: Zribi, M., Kotti, F., Amri, R., Wagner, W., Shabou, M., Lili-Chabaane, Z., Baghdadi, N.
Format: Artikel
Sprache:eng
Schlagworte:
Algorithms
Continental interfaces, environment
Environmental Sciences
Envisat ASAR
Global Changes
Moisture index
radar
Remote sensing
Satellites
Saturated soils
Sciences of the Universe
Semiarid lands
Soil moisture
Vegetation
Vegetation cover
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Beschreibung
Zusammenfassung: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 
ISSN:0043-1397
1944-7973
DOI:10.1002/2012WR013405