Soil moisture mapping in a semi-arid region, based on ASAR/Wide Swath satellite data

Mehrez Zribi (1) , F. Kotti (2) , Rim Amri (2) , N. Baghdadi (3)

1 CESBIO - Centre d'études spatiales de la biosphère
2 INAT CARTHAGE TUN
3 UMR TETIS - Territoires, Environnement, Télédétection et Information Spatiale

In this paper, an operational algorithm is proposed for the mapping of surface moisture over a site in North Africa. A change detection approach is applied, using 160 Envisat ASAR Wide Swath images acquired over a 7-year period. Parameterization of this algorithm is considered for three classes of vegetation cover density (NDVI

Mots clés: ASAR

Domaines: Sciences de l'environnement

Mehrez Zribi, F. Kotti, Rim Amri, N. Baghdadi. Soil moisture mapping in a semi-arid region, based on ASAR/Wide Swath satellite data. EUSAR 2014, 10th European Conference on Synthetic Aperture Radar, Jun 2014, Berlin, Germany. pp.4. ⟨hal-02599625⟩