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Soil moisture estimation using multi‐incidence and multi‐polarization ASAR data

Nicolas Baghdadi 1 Noha Holah 1, 2 M. Zribi 3
1 BRGM - Bureau de Recherches Géologiques et Minières (BRGM)
2 ISTO - Institut des Sciences de la Terre d'Orléans
3 CETP - Centre d'étude des environnements terrestre et planétaires
Abstract : 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).
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https://hal-insu.archives-ouvertes.fr/hal-00090051
Contributor : Nathalie Pothier <>
Submitted on : Monday, August 28, 2006 - 8:13:44 AM
Last modification on : Thursday, August 6, 2020 - 9:46:03 AM

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Nicolas Baghdadi, Noha Holah, M. Zribi. Soil moisture estimation using multi‐incidence and multi‐polarization ASAR data. International Journal of Remote Sensing, Taylor & Francis, 2006, 27, pp.10, 1907-1920. ⟨10.1080/01431160500239032⟩. ⟨hal-00090051⟩

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