Soil moisture retrieval from heterogeneous surfaces by 1.4 GHz multi-angle SMOS observations using 'a priori knowledge' of surface cover fractions
A recently published feasibility study on the consequences of surface heterogeneity for parameter retrieval from multi-angle L-band SMOS observations indicated that even small portions of forest (>10%) may have a dramatic effect on the retrieval of pixel-average soil moisture, resulting in retrie...
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| creator | Van de Griend, A.A. Wigneron, J.-P. Waldteufel, P. |
| description | A recently published feasibility study on the consequences of surface heterogeneity for parameter retrieval from multi-angle L-band SMOS observations indicated that even small portions of forest (>10%) may have a dramatic effect on the retrieval of pixel-average soil moisture, resulting in retrieval errors exceeding the required precision of 4% by volume formulated for the SMOS mission. These retrievals were done without a priori knowledge of surface temperature and without a priori knowledge of the within-pixel forest cover fraction. This study demonstrates that inclusion of a priori knowledge of the within-pixel forest fraction allows the retrieval of the soil dielectric constant (or the soil emissivity) of the non-forested area with a precision better than the requirement defined for SMOS. It was also found that a bias of plusmn2 K in the assumed thermodynamic surface temperature has a relatively small effect on the retrieval precision |
| doi_str_mv | 10.1109/IGARSS.2004.1370167 |
| format | Conference Proceeding |
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These retrievals were done without a priori knowledge of surface temperature and without a priori knowledge of the within-pixel forest cover fraction. This study demonstrates that inclusion of a priori knowledge of the within-pixel forest fraction allows the retrieval of the soil dielectric constant (or the soil emissivity) of the non-forested area with a precision better than the requirement defined for SMOS. 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These retrievals were done without a priori knowledge of surface temperature and without a priori knowledge of the within-pixel forest cover fraction. This study demonstrates that inclusion of a priori knowledge of the within-pixel forest fraction allows the retrieval of the soil dielectric constant (or the soil emissivity) of the non-forested area with a precision better than the requirement defined for SMOS. 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These retrievals were done without a priori knowledge of surface temperature and without a priori knowledge of the within-pixel forest cover fraction. This study demonstrates that inclusion of a priori knowledge of the within-pixel forest fraction allows the retrieval of the soil dielectric constant (or the soil emissivity) of the non-forested area with a precision better than the requirement defined for SMOS. It was also found that a bias of plusmn2 K in the assumed thermodynamic surface temperature has a relatively small effect on the retrieval precision</abstract><cop>Piscataway NJ</cop><pub>IEEE</pub><doi>10.1109/IGARSS.2004.1370167</doi><orcidid>https://orcid.org/0000-0001-5345-3618</orcidid></addata></record> |
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| identifier | ISBN: 0780387422 |
| ispartof | IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium, 2004, Vol.7, p.4552-4555 vol.7 |
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| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Applied geophysics Dielectric constant Earth sciences Earth, ocean, space Environmental Sciences Exact sciences and technology Internal geophysics L-band Life Sciences Ocean temperature Rough surfaces Sea surface SMOS mission Soil moisture Surface roughness Temperature sensors Thermodynamics |
| title | Soil moisture retrieval from heterogeneous surfaces by 1.4 GHz multi-angle SMOS observations using 'a priori knowledge' of surface cover fractions |
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