Publications des scientifiques de l'IRD

Merlin O., Chehbouni Abdelghani, Kerr Y., Njoku E.G., Entekhabi D. (2005). A combined modeling and multispectral/multiresolution remote sensing approach for disaggregation of surface soil moisture : application to SMOS configuration. IEEE Transactions on Geoscience and Remote Sensing, 43 (9), p. 2036-2050. ISSN 0196-2892.

Titre du document
A combined modeling and multispectral/multiresolution remote sensing approach for disaggregation of surface soil moisture : application to SMOS configuration
Année de publication
2005
Type de document
Article référencé dans le Web of Science WOS:000231542200011
Auteurs
Merlin O., Chehbouni Abdelghani, Kerr Y., Njoku E.G., Entekhabi D.
Source
IEEE Transactions on Geoscience and Remote Sensing, 2005, 43 (9), p. 2036-2050 ISSN 0196-2892
A new physically based disaggregation method is developed to improve the spatial resolution of the surface soil moisture extracted from the Soil Moisture and Ocean Salinity (SMOS) data. The approach combines the 40-km resolution SMOS multiangular brightness temperatures and 1-km resolution auxiliary data composed of visible, near-infrared, and thermal infrared remote sensing data and all the surface variables involved in the modeling of land surface-atmosphere interaction available at this scale (soil texture, atmospheric forcing, etc.). The method successively estimates a relative spatial distribution of soil moisture with fine-scale auxiliary data, and normalizes this distribution at SMOS resolution with SMOS data. The main assumption relies on the relationship between the radiometric soil temperature inverted from the thermal infrared and the microwave soil moisture. Based on synthetic data generated with a land surface model, it is shown that the radiometric soil temperature can be used as a tracer of the spatial variability of the 0-5 cm soil moisture. A sensitivity analysis shows that the algorithm remains stable for big uncertainties in auxiliary data and that the uncertainty in SMOS observation seems to be the limiting factor. Finally, a simple application to the SGP97/AVHRR data illustrates the usefulness of the approach
Plan de classement
Météorologie / Climatologie [126TELAPP06]
Descripteurs
SURFACE DU SOL ; HUMIDITE DU SOL ; INTERACTION OCEAN ATMOSPHERE ; SALINITE ; TELEDETECTION SPATIALE ; CAPTEUR AVHRR ; RADIOMETRIE ; MODELISATION ; TELEDETECTION MULTISPECTRALE
Localisation
Fonds IRD [F B010046763]
Identifiant IRD
fdi:010046763
Contact