Articles | Volume 16, issue 6
https://doi.org/10.5194/hess-16-1697-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-16-1697-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
22 Jun 2012
Research article |
| 22 Jun 2012
The AACES field experiments: SMOS calibration and validation across the Murrumbidgee River catchment
S. Peischl
Monash University, Department of Civil Engineering, Melbourne, Australia
formerly at: The University of Melbourne, Department of Infrastructure Engineering, Melbourne, Australia
J. P. Walker
Monash University, Department of Civil Engineering, Melbourne, Australia
formerly at: The University of Melbourne, Department of Infrastructure Engineering, Melbourne, Australia
C. Rüdiger
Monash University, Department of Civil Engineering, Melbourne, Australia
formerly at: The University of Melbourne, Department of Infrastructure Engineering, Melbourne, Australia
N. Ye
Monash University, Department of Civil Engineering, Melbourne, Australia
formerly at: The University of Melbourne, Department of Infrastructure Engineering, Melbourne, Australia
Y. H. Kerr
Centre d'Etudes Spatiales de la Biosphére (CESBIO), Toulouse, France
E. Kim
Goddard Space Flight Center, NASA, Hydrospheric and Biospheric Sciences Laboratory, Greenbelt, USA
R. Bandara
Monash University, Department of Civil Engineering, Melbourne, Australia
formerly at: The University of Melbourne, Department of Infrastructure Engineering, Melbourne, Australia
M. Allahmoradi
The University of Melbourne, Department of Infrastructure Engineering, Melbourne, Australia
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Cited
51 citations as recorded by crossref.
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- Validation of downscaled 1‐km SMOS and SMAP soil moisture data in 2010–2021 B. Fang et al. 10.1002/vzj2.20305
- Soil moisture experiment in the Luan River supporting new satellite mission opportunities T. Zhao et al. 10.1016/j.rse.2020.111680
- Thermal properties of soil in the Murrumbidgee River Catchment (Australia) B. Usowicz et al. 10.1016/j.ijheatmasstransfer.2017.08.021
- Temporal transferability of soil moisture calibration equations T. Rowlandson et al. 10.1016/j.jhydrol.2017.11.023
- SOIL-WATERGRIDS, mapping dynamic changes in soil moisture and depth of water table from 1970 to 2014 M. Guglielmo et al. 10.1038/s41597-021-01032-4
- Closing the Gaps in Our Knowledge of the Hydrological Cycle over Land: Conceptual Problems W. Lahoz & G. De Lannoy 10.1007/s10712-013-9221-7
- A comparison of SMOS and AMSR2 soil moisture using representative sites of the OzNet monitoring network M. Yee et al. 10.1016/j.rse.2017.04.019
- SMOS disaggregated soil moisture product at 1 km resolution: Processor overview and first validation results B. Molero et al. 10.1016/j.rse.2016.02.045
- Can SMOS Data be Used Directly on the 15-km Discrete Global Grid? G. Dumedah et al. 10.1109/TGRS.2013.2262501
- DisPATCh as a tool to evaluate coarse-scale remotely sensed soil moisture using localized in situ measurements: Application to SMOS and AMSR-E data in Southeastern Australia Y. Malbéteau et al. 10.1016/j.jag.2015.10.002
- The LAB-Net Soil Moisture Network: Application to Thermal Remote Sensing and Surface Energy Balance C. Mattar et al. 10.3390/data1010006
- Understanding root-zone soil moisture in agricultural regions of Central Mexico using the ensemble Kalman filter, satellite-derived information, and the THEXMEX-18 dataset H. Huerta-Bátiz et al. 10.1080/17538947.2021.2012534
- The soil moisture data bank: The ground-based, model-based, and satellite-based soil moisture data A. Tavakol et al. 10.1016/j.rsase.2021.100649
- Validation of SMAP surface soil moisture products with core validation sites A. Colliander et al. 10.1016/j.rse.2017.01.021
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- A Multifrequency Radiometry Experiment Over an Agricultural Field Toward Microwave Emission Model Calibration C. Ma et al. 10.1109/TGRS.2025.3549755
- A review of spatial downscaling of satellite remotely sensed soil moisture J. Peng et al. 10.1002/2016RG000543
- Disaggregation of Low-Resolution L-Band Radiometry Using C-Band Radar Data C. Rudiger et al. 10.1109/LGRS.2016.2583433
- Optical Sensing of Vegetation Water Content: A Synthesis Study Y. Gao et al. 10.1109/JSTARS.2015.2398034
- Analysis of Data Acquisition Time on Soil Moisture Retrieval From Multiangle L-Band Observations S. Peischl et al. 10.1109/TGRS.2017.2757025
- Relevance of tributary inflows for driving molecular composition of dissolved organic matter (DOM) in a regulated river system S. Acharya et al. 10.1016/j.watres.2023.119975
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- Multi-scale statistical properties of disaggregated SMOS soil moisture products in Australia M. Neuhauser et al. 10.1016/j.advwatres.2019.103426
- Validation of CYGNSS soil moisture products using in situ measurements: a case study of Southern China Z. Dong et al. 10.1007/s00704-023-04531-z
- The effect of soil salinity on the use of the universal triangle method to estimate saline soil moisture from Landsat data: application to the SMAPEx-2 and SMAPEx-3 campaigns H. Emami et al. 10.1080/01431161.2017.1363431
- Effect of Rainfall Events on SMAP Radiometer-Based Soil Moisture Accuracy Using Core Validation Sites A. Colliander et al. 10.1175/JHM-D-19-0122.1
- Toward a Surface Soil Moisture Product at High Spatiotemporal Resolution: Temporally Interpolated, Spatially Disaggregated SMOS Data Y. Malbéteau et al. 10.1175/JHM-D-16-0280.1
- Enhancing Spatial Resolution of GNSS-R Soil Moisture Retrieval through XGBoost Algorithm-Based Downscaling Approach: A Case Study in the Southern United States Q. Luo et al. 10.3390/rs15184576
- Global Automated Quality Control of In Situ Soil Moisture Data from the International Soil Moisture Network W. Dorigo et al. 10.2136/vzj2012.0097
- Performance Metrics for Soil Moisture Downscaling Methods: Application to DISPATCH Data in Central Morocco O. Merlin et al. 10.3390/rs70403783
- Inter-comparison of microwave satellite soil moisture retrievals over the Murrumbidgee Basin, southeast Australia C. Su et al. 10.1016/j.rse.2013.02.016
- On the identification of representative in situ soil moisture monitoring stations for the validation of SMAP soil moisture products in Australia M. Yee et al. 10.1016/j.jhydrol.2016.03.060
- Three years of L-band brightness temperature measurements in a mountainous area: Topography, vegetation and snowmelt issues T. Pellarin et al. 10.1016/j.rse.2016.02.047
- Design of an Optimal Soil Moisture Monitoring Network Using SMOS Retrieved Soil Moisture K. Kornelsen & P. Coulibaly 10.1109/TGRS.2014.2388451
- Global assessment of Vegetation Index and Phenology Lab (VIP) and Global Inventory Modeling and Mapping Studies (GIMMS) version 3 products M. Marshall et al. 10.5194/bg-13-625-2016
- Analyzing the Vegetation Parameterization in the TU-Wien ASCAT Soil Moisture Retrieval M. Vreugdenhil et al. 10.1109/TGRS.2016.2519842
- SMOS soil moisture product evaluation over West-Africa from local to regional scale S. Louvet et al. 10.1016/j.rse.2014.10.005
- Validation of SMOS L1C and L2 Products and Important Parameters of the Retrieval Algorithm in the Skjern River Catchment, Western Denmark S. Bircher et al. 10.1109/TGRS.2012.2215041
- An Initial Assessment of SMOS Derived Soil Moisture over the Continental United States M. Pan et al. 10.1109/JSTARS.2012.2194477
- The Soil Moisture Active Passive Experiments (SMAPEx): Toward Soil Moisture Retrieval From the SMAP Mission R. Panciera et al. 10.1109/TGRS.2013.2241774
- Validation of SMOS Brightness Temperatures During the HOBE Airborne Campaign, Western Denmark S. Bircher et al. 10.1109/TGRS.2011.2170177
- Impact of Urban Cover Fraction on SMOS and SMAP Surface Soil Moisture Retrieval Accuracy N. Ye et al. 10.1109/JSTARS.2019.2929482
- The SMOS Soil Moisture Retrieval Algorithm Y. Kerr et al. 10.1109/TGRS.2012.2184548
- Validation practices for satellite soil moisture retrievals: What are (the) errors? A. Gruber et al. 10.1016/j.rse.2020.111806
- Standing water effect on soil moisture retrieval from L-band passive microwave observations N. Ye et al. 10.1016/j.rse.2015.08.013
- Validation of Soil Moisture and Ocean Salinity (SMOS) Soil Moisture Over Watershed Networks in the U.S. T. Jackson et al. 10.1109/TGRS.2011.2168533
- A Cumulative Distribution Function Method for Normalizing Variable-Angle Microwave Observations N. Ye et al. 10.1109/TGRS.2014.2387574
- Generating high-resolution daily soil moisture by using spatial downscaling techniques: a comparison of six machine learning algorithms Y. Liu et al. 10.1016/j.advwatres.2020.103601
40 citations as recorded by crossref.
- SMOS brightness temperature assimilation into the Community Land Model D. Rains et al. 10.5194/hess-21-5929-2017
- Improved large-scale hydrological modelling through the assimilation of streamflow and downscaled satellite soil moisture observations P. López López et al. 10.5194/hess-20-3059-2016
- Validation of downscaled 1‐km SMOS and SMAP soil moisture data in 2010–2021 B. Fang et al. 10.1002/vzj2.20305
- Soil moisture experiment in the Luan River supporting new satellite mission opportunities T. Zhao et al. 10.1016/j.rse.2020.111680
- Thermal properties of soil in the Murrumbidgee River Catchment (Australia) B. Usowicz et al. 10.1016/j.ijheatmasstransfer.2017.08.021
- Temporal transferability of soil moisture calibration equations T. Rowlandson et al. 10.1016/j.jhydrol.2017.11.023
- SOIL-WATERGRIDS, mapping dynamic changes in soil moisture and depth of water table from 1970 to 2014 M. Guglielmo et al. 10.1038/s41597-021-01032-4
- Closing the Gaps in Our Knowledge of the Hydrological Cycle over Land: Conceptual Problems W. Lahoz & G. De Lannoy 10.1007/s10712-013-9221-7
- A comparison of SMOS and AMSR2 soil moisture using representative sites of the OzNet monitoring network M. Yee et al. 10.1016/j.rse.2017.04.019
- SMOS disaggregated soil moisture product at 1 km resolution: Processor overview and first validation results B. Molero et al. 10.1016/j.rse.2016.02.045
- Can SMOS Data be Used Directly on the 15-km Discrete Global Grid? G. Dumedah et al. 10.1109/TGRS.2013.2262501
- DisPATCh as a tool to evaluate coarse-scale remotely sensed soil moisture using localized in situ measurements: Application to SMOS and AMSR-E data in Southeastern Australia Y. Malbéteau et al. 10.1016/j.jag.2015.10.002
- The LAB-Net Soil Moisture Network: Application to Thermal Remote Sensing and Surface Energy Balance C. Mattar et al. 10.3390/data1010006
- Understanding root-zone soil moisture in agricultural regions of Central Mexico using the ensemble Kalman filter, satellite-derived information, and the THEXMEX-18 dataset H. Huerta-Bátiz et al. 10.1080/17538947.2021.2012534
- The soil moisture data bank: The ground-based, model-based, and satellite-based soil moisture data A. Tavakol et al. 10.1016/j.rsase.2021.100649
- Validation of SMAP surface soil moisture products with core validation sites A. Colliander et al. 10.1016/j.rse.2017.01.021
- The International Soil Moisture Network: serving Earth system science for over a decade W. Dorigo et al. 10.5194/hess-25-5749-2021
- Assessing data assimilation frameworks for using multi-mission satellite products in a hydrological context M. Khaki et al. 10.1016/j.scitotenv.2018.08.032
- A Multifrequency Radiometry Experiment Over an Agricultural Field Toward Microwave Emission Model Calibration C. Ma et al. 10.1109/TGRS.2025.3549755
- A review of spatial downscaling of satellite remotely sensed soil moisture J. Peng et al. 10.1002/2016RG000543
- Disaggregation of Low-Resolution L-Band Radiometry Using C-Band Radar Data C. Rudiger et al. 10.1109/LGRS.2016.2583433
- Optical Sensing of Vegetation Water Content: A Synthesis Study Y. Gao et al. 10.1109/JSTARS.2015.2398034
- Analysis of Data Acquisition Time on Soil Moisture Retrieval From Multiangle L-Band Observations S. Peischl et al. 10.1109/TGRS.2017.2757025
- Relevance of tributary inflows for driving molecular composition of dissolved organic matter (DOM) in a regulated river system S. Acharya et al. 10.1016/j.watres.2023.119975
- Assimilation of Soil Moisture and Ocean Salinity (SMOS) brightness temperature into a large-scale distributed conceptual hydrological model to improve soil moisture predictions: the Murray–Darling basin in Australia as a test case R. Hostache et al. 10.5194/hess-24-4793-2020
- Multi-scale statistical properties of disaggregated SMOS soil moisture products in Australia M. Neuhauser et al. 10.1016/j.advwatres.2019.103426
- Validation of CYGNSS soil moisture products using in situ measurements: a case study of Southern China Z. Dong et al. 10.1007/s00704-023-04531-z
- The effect of soil salinity on the use of the universal triangle method to estimate saline soil moisture from Landsat data: application to the SMAPEx-2 and SMAPEx-3 campaigns H. Emami et al. 10.1080/01431161.2017.1363431
- Effect of Rainfall Events on SMAP Radiometer-Based Soil Moisture Accuracy Using Core Validation Sites A. Colliander et al. 10.1175/JHM-D-19-0122.1
- Toward a Surface Soil Moisture Product at High Spatiotemporal Resolution: Temporally Interpolated, Spatially Disaggregated SMOS Data Y. Malbéteau et al. 10.1175/JHM-D-16-0280.1
- Enhancing Spatial Resolution of GNSS-R Soil Moisture Retrieval through XGBoost Algorithm-Based Downscaling Approach: A Case Study in the Southern United States Q. Luo et al. 10.3390/rs15184576
- Global Automated Quality Control of In Situ Soil Moisture Data from the International Soil Moisture Network W. Dorigo et al. 10.2136/vzj2012.0097
- Performance Metrics for Soil Moisture Downscaling Methods: Application to DISPATCH Data in Central Morocco O. Merlin et al. 10.3390/rs70403783
- Inter-comparison of microwave satellite soil moisture retrievals over the Murrumbidgee Basin, southeast Australia C. Su et al. 10.1016/j.rse.2013.02.016
- On the identification of representative in situ soil moisture monitoring stations for the validation of SMAP soil moisture products in Australia M. Yee et al. 10.1016/j.jhydrol.2016.03.060
- Three years of L-band brightness temperature measurements in a mountainous area: Topography, vegetation and snowmelt issues T. Pellarin et al. 10.1016/j.rse.2016.02.047
- Design of an Optimal Soil Moisture Monitoring Network Using SMOS Retrieved Soil Moisture K. Kornelsen & P. Coulibaly 10.1109/TGRS.2014.2388451
- Global assessment of Vegetation Index and Phenology Lab (VIP) and Global Inventory Modeling and Mapping Studies (GIMMS) version 3 products M. Marshall et al. 10.5194/bg-13-625-2016
- Analyzing the Vegetation Parameterization in the TU-Wien ASCAT Soil Moisture Retrieval M. Vreugdenhil et al. 10.1109/TGRS.2016.2519842
- SMOS soil moisture product evaluation over West-Africa from local to regional scale S. Louvet et al. 10.1016/j.rse.2014.10.005
11 citations as recorded by crossref.
- Validation of SMOS L1C and L2 Products and Important Parameters of the Retrieval Algorithm in the Skjern River Catchment, Western Denmark S. Bircher et al. 10.1109/TGRS.2012.2215041
- An Initial Assessment of SMOS Derived Soil Moisture over the Continental United States M. Pan et al. 10.1109/JSTARS.2012.2194477
- The Soil Moisture Active Passive Experiments (SMAPEx): Toward Soil Moisture Retrieval From the SMAP Mission R. Panciera et al. 10.1109/TGRS.2013.2241774
- Validation of SMOS Brightness Temperatures During the HOBE Airborne Campaign, Western Denmark S. Bircher et al. 10.1109/TGRS.2011.2170177
- Impact of Urban Cover Fraction on SMOS and SMAP Surface Soil Moisture Retrieval Accuracy N. Ye et al. 10.1109/JSTARS.2019.2929482
- The SMOS Soil Moisture Retrieval Algorithm Y. Kerr et al. 10.1109/TGRS.2012.2184548
- Validation practices for satellite soil moisture retrievals: What are (the) errors? A. Gruber et al. 10.1016/j.rse.2020.111806
- Standing water effect on soil moisture retrieval from L-band passive microwave observations N. Ye et al. 10.1016/j.rse.2015.08.013
- Validation of Soil Moisture and Ocean Salinity (SMOS) Soil Moisture Over Watershed Networks in the U.S. T. Jackson et al. 10.1109/TGRS.2011.2168533
- A Cumulative Distribution Function Method for Normalizing Variable-Angle Microwave Observations N. Ye et al. 10.1109/TGRS.2014.2387574
- Generating high-resolution daily soil moisture by using spatial downscaling techniques: a comparison of six machine learning algorithms Y. Liu et al. 10.1016/j.advwatres.2020.103601
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