Journal article
Inter-comparison of microwave satellite soil moisture retrievals over the Murrumbidgee Basin, southeast Australia
CH Su, D Ryu, RI Young, AW Western, W Wagner
Remote Sensing of Environment | ELSEVIER SCIENCE INC | Published : 2013
Abstract
The use of satellite-based soil moisture retrievals for hydrologic, meteorological and climatological applications is advancing significantly due to increasing capability and temporal coverage of current and future missions. Characterisation of the relative skill of soil moisture products from different satellite sensors on a common spatial grid is crucial to achieve synergetic applications. This paper therefore evaluates three soil moisture products from AMSR-E (Advanced Microwave Scanning Radiometer - Earth Observing System), ASCAT (Advanced Scatterometer) and SMOS (Soil Moisture and Ocean Salinity) in absolute soil moisture units and on a common grid, against in-situ observations from sou..
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Funding Acknowledgements
The authors thank the staff at the University of Melbourne and Jeff Walker and his colleagues at Monash University who have been involved in the OzNet programme. CHS acknowledges the valuable discussions with Tim Peterson on performance metrics, and Angelika Xaver and Rocco Panciera on data quality. We would also like to thank Shelly Chua, Yuan Li and four reviewers for their valuable comments on the manuscript. The SMOS level 3 data were obtained from the "Centre Aval de Traitement des Donnees SMOS" (CATDS), operated for the "Centre National d'Etudes Spatiales" (CNES, France) by IFREMER (Brest, France). ASCAT level 3 soil moisture data were produced by the Vienna University of Technology (TU-WIEN) within the framework of EUMETSAT's Satellite Application Facility on Support of Operational Hydrology and Water Management (H-SAF) from MetOp-A observations. National soil data were provided by the Australian Collaborative Land Evaluation Program ACLEP, endorsed through the National Committee on Soil and Terrain NCST (www.clw.csiro.au/aclep). This research was conducted with financial support from the Australian Research Council (ARC Linkage Project No. LP110200520).