SMOS soil moisture retrievals using the land parameter retrieval model: Evaluation over the Murrumbidgee Catchment, southeast Australia

R. van der Schalie; R.M. Parinussa; L.J. Renzullo; A.I.J.M. van Dijk; C.-. Su; R.A.M. de Jeu

doi:10.1016/j.rse.2015.03.006

SMOS soil moisture retrievals using the land parameter retrieval model: Evaluation over the Murrumbidgee Catchment, southeast Australia

R. van der Schalie, R.M. Parinussa, L.J. Renzullo, A.I.J.M. van Dijk, C.-. Su, R.A.M. de Jeu

Earth and Climate

Research output: Contribution to Journal › Article › Academic › peer-review

Abstract

The land parameter retrieval model (LPRM) is a methodology that retrieves soil moisture from low frequency dual polarized microwave measurements and has been extensively tested on C-, X- and Ku-band frequencies. Its performance on L-band is tested here by using observations from the Soil Moisture and Ocean Salinity (SMOS) satellite. These observations have potential advantages compared to higher frequencies: a low sensitivity to cloud and vegetation contamination, an increased thermal sampling depth and a greater sensitivity to soil moisture fluctuations. These features make it desirable to add SMOS-derived soil moisture retrievals to the existing European Space Agency (ESA) long-term climatological soil moisture data record, to be harmonized with other passive microwave soil moisture estimates from the LPRM. For multi-channel observations, LPRM infers the effective soil temperature (T

Original language	English
Pages (from-to)	70-79
Journal	Remote Sensing of Environment
Volume	163
DOIs	https://doi.org/10.1016/j.rse.2015.03.006
Publication status	Published - 2015

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PT: J; NR: 62; TC: 3; J9: REMOTE SENS ENVIRON; PG: 10; GA: CJ8RN; UT: WOS:000355771300008

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10.1016/j.rse.2015.03.006

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title = "SMOS soil moisture retrievals using the land parameter retrieval model: Evaluation over the Murrumbidgee Catchment, southeast Australia",

abstract = "The land parameter retrieval model (LPRM) is a methodology that retrieves soil moisture from low frequency dual polarized microwave measurements and has been extensively tested on C-, X- and Ku-band frequencies. Its performance on L-band is tested here by using observations from the Soil Moisture and Ocean Salinity (SMOS) satellite. These observations have potential advantages compared to higher frequencies: a low sensitivity to cloud and vegetation contamination, an increased thermal sampling depth and a greater sensitivity to soil moisture fluctuations. These features make it desirable to add SMOS-derived soil moisture retrievals to the existing European Space Agency (ESA) long-term climatological soil moisture data record, to be harmonized with other passive microwave soil moisture estimates from the LPRM. For multi-channel observations, LPRM infers the effective soil temperature (T",

author = "{van der Schalie}, R. and R.M. Parinussa and L.J. Renzullo and {van Dijk}, A.I.J.M. and C.-. Su and {de Jeu}, R.A.M.",

note = "PT: J; NR: 62; TC: 3; J9: REMOTE SENS ENVIRON; PG: 10; GA: CJ8RN; UT: WOS:000355771300008",

year = "2015",

doi = "10.1016/j.rse.2015.03.006",

language = "English",

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AU - van der Schalie, R.

AU - Parinussa, R.M.

AU - Renzullo, L.J.

AU - van Dijk, A.I.J.M.

AU - Su, C.-.

AU - de Jeu, R.A.M.

N1 - PT: J; NR: 62; TC: 3; J9: REMOTE SENS ENVIRON; PG: 10; GA: CJ8RN; UT: WOS:000355771300008

PY - 2015

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N2 - The land parameter retrieval model (LPRM) is a methodology that retrieves soil moisture from low frequency dual polarized microwave measurements and has been extensively tested on C-, X- and Ku-band frequencies. Its performance on L-band is tested here by using observations from the Soil Moisture and Ocean Salinity (SMOS) satellite. These observations have potential advantages compared to higher frequencies: a low sensitivity to cloud and vegetation contamination, an increased thermal sampling depth and a greater sensitivity to soil moisture fluctuations. These features make it desirable to add SMOS-derived soil moisture retrievals to the existing European Space Agency (ESA) long-term climatological soil moisture data record, to be harmonized with other passive microwave soil moisture estimates from the LPRM. For multi-channel observations, LPRM infers the effective soil temperature (T

AB - The land parameter retrieval model (LPRM) is a methodology that retrieves soil moisture from low frequency dual polarized microwave measurements and has been extensively tested on C-, X- and Ku-band frequencies. Its performance on L-band is tested here by using observations from the Soil Moisture and Ocean Salinity (SMOS) satellite. These observations have potential advantages compared to higher frequencies: a low sensitivity to cloud and vegetation contamination, an increased thermal sampling depth and a greater sensitivity to soil moisture fluctuations. These features make it desirable to add SMOS-derived soil moisture retrievals to the existing European Space Agency (ESA) long-term climatological soil moisture data record, to be harmonized with other passive microwave soil moisture estimates from the LPRM. For multi-channel observations, LPRM infers the effective soil temperature (T

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DO - 10.1016/j.rse.2015.03.006

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JO - Remote Sensing of Environment

JF - Remote Sensing of Environment

ER -

SMOS soil moisture retrievals using the land parameter retrieval model: Evaluation over the Murrumbidgee Catchment, southeast Australia

Abstract

Bibliographical note

UN SDGs

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