Publications des scientifiques de l'IRD

Baup F., Mougin Eric, Rosnay P. de, Timouk Frank, Chênerie I. (2007). Surface soil moisture estimation over the AMMA Sahelian site in Mali using ENVISAT/ASAR data. Remote Sensing of Environment, 109 (4), p. 473-481. ISSN 0034-4257.

Titre du document
Surface soil moisture estimation over the AMMA Sahelian site in Mali using ENVISAT/ASAR data
Année de publication
2007
Type de document
Article référencé dans le Web of Science WOS:000248293300008
Auteurs
Baup F., Mougin Eric, Rosnay P. de, Timouk Frank, Chênerie I.
Source
Remote Sensing of Environment, 2007, 109 (4), p. 473-481 ISSN 0034-4257
This paper focuses on different methods for estimating soil moisture in a Sahelian environment by comparing ENVISAT/ASAR and ground data at the same spatial scale. The analysis is restricted to Wide Swath data in order to take advantage of their high temporal repetitivity (about 3-4 days) corresponding to a moderate spatial resolution (150 m). On the one hand, emphasis is put on the characterization of Surface Soil Moisture (SSM) at a spatial scale compatible with the derivation of the backscattering coefficients, and a transfer function is developed for up-scaling local measurements to the 1 km scale. On the other hand, three different approaches are used to normalize the angular variation of the observed backscattering coefficients. The results show a strong linear relationship between the HH normalized backscattering coefficients and SSM. The best result is obtained when restricting the ASAR data to low incidence angles and by taking into account vegetation effects using multi-angular radar data. For this case, the rms error of the SSM retrieval is 2.8%. These results highlight the capabilities of the ASAR instrument to monitor SSM in a semiarid environment.
Plan de classement
Sciences du milieu [021] ; Pédologie [068] ; Télédétection [126]
Localisation
Fonds IRD [F B010040700]
Identifiant IRD
fdi:010040700
Contact