Articles | Volume 25, issue 1
https://doi.org/10.5194/hess-25-473-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-25-473-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
29 Jan 2021
Research article |
| 29 Jan 2021
| 29 Jan 2021
Validation of SMAP L2 passive-only soil moisture products using upscaled in situ measurements collected in Twente, the Netherlands
Rogier van der Velde
CORRESPONDING AUTHOR
Department of Water Resources, University of Twente, Enschede, 7500
AE, the Netherlands
Andreas Colliander
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA 91109, USA
Michiel Pezij
Department of Water Engineering and Management, University of Twente,
Enschede, 7500 AE, the Netherlands
Harm-Jan F. Benninga
Department of Water Resources, University of Twente, Enschede, 7500
AE, the Netherlands
Rajat Bindlish
NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
Steven K. Chan
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA 91109, USA
Thomas J. Jackson
Hydrology and Remote Sensing Laboratory, USDA ARS, Beltsville, MD
20705, USA
retired
Dimmie M. D. Hendriks
Department of Subsurface and Groundwater Systems, Deltares, Utrecht,
3508 AL, the Netherlands
Denie C. M. Augustijn
Department of Water Engineering and Management, University of Twente,
Enschede, 7500 AE, the Netherlands
Zhongbo Su
Department of Water Resources, University of Twente, Enschede, 7500
AE, the Netherlands
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Cited
12 citations as recorded by crossref.
- Twelve years of profile soil moisture and temperature measurements in Twente, the Netherlands R. van der Velde et al. 10.5194/essd-15-1889-2023
- Remote Sensed and/or Global Datasets for Distributed Hydrological Modelling: A Review M. Ali et al. 10.3390/rs15061642
- The Characterization of the Vertical Distribution of Surface Soil Moisture Using ISMN Multilayer In Situ Data and Their Comparison with SMOS and SMAP Soil Moisture Products N. Yang et al. 10.3390/rs15163930
- Regularized Dual-Channel Algorithm for the Retrieval of Soil Moisture and Vegetation Optical Depth From SMAP Measurements J. Chaubell et al. 10.1109/JSTARS.2021.3123932
- Seamless downscaling of the ESA CCI soil moisture data at the daily scale with MODIS land products W. Zhao et al. 10.1016/j.jhydrol.2021.126930
- Validation of Soil Moisture Data Products From the NASA SMAP Mission A. Colliander et al. 10.1109/JSTARS.2021.3124743
- Multi-resolution soil moisture retrievals by disaggregating SMAP brightness temperatures with RADARSAT-2 polarimetric decompositions H. Wang et al. 10.1016/j.jag.2022.103114
- Soil moisture content retrieval over meadows from Sentinel-1 and Sentinel-2 data using physically based scattering models H. Benninga et al. 10.1016/j.rse.2022.113191
- Assimilating Soil Moisture Information to Improve the Performance of SWAT Hydrological Model M. Kofidou & A. Gemitzi 10.3390/hydrology10080176
- Status of the Tibetan Plateau observatory (Tibet-Obs) and a 10-year (2009–2019) surface soil moisture dataset P. Zhang et al. 10.5194/essd-13-3075-2021
- Sentinel-1 soil moisture content and its uncertainty over sparsely vegetated fields H. Benninga et al. 10.1016/j.hydroa.2020.100066
- Validation of Sentinel-2 (MSI) and Sentinel-3 (OLCI) Water Quality Products in Turbid Estuaries Using Fixed Monitoring Stations M. Salama et al. 10.3389/frsen.2021.808287
10 citations as recorded by crossref.
- Twelve years of profile soil moisture and temperature measurements in Twente, the Netherlands R. van der Velde et al. 10.5194/essd-15-1889-2023
- Remote Sensed and/or Global Datasets for Distributed Hydrological Modelling: A Review M. Ali et al. 10.3390/rs15061642
- The Characterization of the Vertical Distribution of Surface Soil Moisture Using ISMN Multilayer In Situ Data and Their Comparison with SMOS and SMAP Soil Moisture Products N. Yang et al. 10.3390/rs15163930
- Regularized Dual-Channel Algorithm for the Retrieval of Soil Moisture and Vegetation Optical Depth From SMAP Measurements J. Chaubell et al. 10.1109/JSTARS.2021.3123932
- Seamless downscaling of the ESA CCI soil moisture data at the daily scale with MODIS land products W. Zhao et al. 10.1016/j.jhydrol.2021.126930
- Validation of Soil Moisture Data Products From the NASA SMAP Mission A. Colliander et al. 10.1109/JSTARS.2021.3124743
- Multi-resolution soil moisture retrievals by disaggregating SMAP brightness temperatures with RADARSAT-2 polarimetric decompositions H. Wang et al. 10.1016/j.jag.2022.103114
- Soil moisture content retrieval over meadows from Sentinel-1 and Sentinel-2 data using physically based scattering models H. Benninga et al. 10.1016/j.rse.2022.113191
- Assimilating Soil Moisture Information to Improve the Performance of SWAT Hydrological Model M. Kofidou & A. Gemitzi 10.3390/hydrology10080176
- Status of the Tibetan Plateau observatory (Tibet-Obs) and a 10-year (2009–2019) surface soil moisture dataset P. Zhang et al. 10.5194/essd-13-3075-2021
2 citations as recorded by crossref.
- Sentinel-1 soil moisture content and its uncertainty over sparsely vegetated fields H. Benninga et al. 10.1016/j.hydroa.2020.100066
- Validation of Sentinel-2 (MSI) and Sentinel-3 (OLCI) Water Quality Products in Turbid Estuaries Using Fixed Monitoring Stations M. Salama et al. 10.3389/frsen.2021.808287
Latest update: 10 Oct 2024
Short summary
NASA’s SMAP satellite provides estimates of the amount of water in the soil. With measurements from a network of 20 monitoring stations, the accuracy of these estimates has been studied for a 4-year period. We found an agreement between satellite and in situ estimates in line with the mission requirements once the large mismatches associated with rapidly changing water contents, e.g. soil freezing and rainfall, are excluded.
NASA’s SMAP satellite provides estimates of the amount of water in the soil. With measurements...
