Bare soil moisture retrieval from multi-temporal X-band TerraSAR-X SAR images

Azza Gorrab (1) , Mehrez Zribi (1) , N. Baghdadi (2) , Z. Lili-Chabaane (3)

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

The aim of the present study is to analyze the sensitivity of X-band SAR (TerraSAR-X) signals as a function of different physical bare soil parameters (soil moisture, soil roughness), and to evaluate the accuracy of change detection approach proposed for soil moisture estimation. Firstly, we presented a brief description of our ground and satellite database. Secondly, we considered the main results of our statistical analysis of the relationships between radar and soil parameters: soil moisture and different roughness parameters (the rms height, Zs parameter, and a new roughness parameter Zg. Finally, we proposed an algorithm combing multi-temporal X-band SAR images (TerraSAR-X) with different continuous thetaprobe measurements for the retrieval of surface soil moisture at a high spatial resolution.

Mots clés: SOIL WATER CONTENT; ROUGHNESS; VERY HIGH SPATIAL RESOLUTION

Mots clés: IMAGE SATELLITE; TRES HAUTE RESOLUTION SPATIALE; TELEDETECTION; RADAR; CARTOGRAPHIE; HUMIDITE DU SOL; RUGOSITE

Domaines: Sciences de l'environnement

Azza Gorrab, Mehrez Zribi, N. Baghdadi, Z. Lili-Chabaane. Bare soil moisture retrieval from multi-temporal X-band TerraSAR-X SAR images. IGARSS 2015, Jul 2015, Milan, Italy. 4 p. ⟨hal-01244653⟩