%0 Journal Article %T Soil moisture estimation using multi‐incidence and multi‐polarization ASAR data %+ Bureau de Recherches Géologiques et Minières (BRGM) (BRGM) %+ Institut des Sciences de la Terre d'Orléans (ISTO) %+ Centre d'étude des environnements terrestre et planétaires (CETP) %A Baghdadi, Nicolas %A Holah, Noha %A Zribi, Mehrez %< avec comité de lecture %@ 0143-1161 %J International Journal of Remote Sensing %I Taylor & Francis %V 27 %N 10 %P 10, 1907-1920 %8 2007-02-22 %D 2007 %R 10.1080/01431160500239032 %Z Sciences of the Universe [physics]/Continental interfaces, environmentJournal articles %X The potential of Advanced Synthetic Aperture Radar (ASAR) for the retrieval of surface soil moisture over bare soils was evaluated for several ASAR acquisition configurations: (1) one date/single channel (one incidence and one polarization); (2) one date/two channels (one incidence and two polarizations); (3) two dates/two channels (two incidences and one polarization); and (4) two dates/four channels (two incidences and two polarizations). The retrieval of soil moisture from backscattering measurements is discussed, using empirical inversion approaches. When compared with the results obtained with a single polarization (HH or HV), the use of two polarizations (HH and HV) does not enable a significant improvement in estimating soil moisture. For the best estimates of soil moisture, ASAR data should be acquired at both low and high incidence angles. ASAR proves to be a good remote sensing tool for measuring surface soil moisture, with accuracy for the retrieved soil moisture that can reach 3.5% (RMSE). %G English %L hal-00090051 %U https://insu.hal.science/hal-00090051 %~ INSU %~ BRGM %~ CNRS %~ UNIV-ORLEANS %~ CETP %~ ISTO %~ OSUC %~ GIP-BE %~ UVSQ