Journal article

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

R van der Schalie, RM Parinussa, LJ Renzullo, AIJM van Dijk, C-H Su, RAM de Jeu

Remote Sensing of Environment | Elsevier | Published : 2015

Abstract

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-te..

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University of Melbourne Researchers

Grants

Awarded by ESA project "Passive Microwave Soil Moisture Data Fusion Study"


Awarded by European Space Agency Climate Change Initiative for soil moisture


Funding Acknowledgements

This work was partially supported under the Water Information Research and Development Alliance between the Australian Bureau of Meteorology and CSIRO Water for a Healthy Country Flagship. I would like to thank CSIRO for their hospitality and for giving me the opportunity to conduct this research with their support. We would also like to thank the staff at the University of Melbourne and Jeff Walker and his colleagues at Monash University who have led the OzNet program. This project is partly funded by the ESA project "Passive Microwave Soil Moisture Data Fusion Study" (Contract # 4000110112). Further funding was provided by the European Space Agency Climate Change Initiative for soil moisture (http://www.esa-soilmoisture-cci.org/), contract no. 4000112226/14/I-NB.