Articles | Volume 20, issue 10
https://doi.org/10.5194/hess-20-4191-2016
© Author(s) 2016. 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-20-4191-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
17 Oct 2016
Research article |
| 17 Oct 2016
Combining satellite observations to develop a global soil moisture product for near-real-time applications
Markus Enenkel
CORRESPONDING AUTHOR
Vienna University of Technology, Department of Geodesy and Geoinformation, Vienna, Austria
Columbia University, International Research Institute for Climate and Society, New York, NY, USA
Christoph Reimer
Vienna University of Technology, Department of Geodesy and Geoinformation, Vienna, Austria
Wouter Dorigo
Vienna University of Technology, Department of Geodesy and Geoinformation, Vienna, Austria
Wolfgang Wagner
Vienna University of Technology, Department of Geodesy and Geoinformation, Vienna, Austria
Isabella Pfeil
Vienna University of Technology, Department of Geodesy and Geoinformation, Vienna, Austria
Robert Parinussa
UNSW Water Research Centre, School of Civil and Environmental Engineering, The University of New South Wales, Sydney, Australia
VanderSat B.V., Noordwijk, the Netherlands
Richard De Jeu
VanderSat B.V., Noordwijk, the Netherlands
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Cited
22 citations as recorded by crossref.
- Developing a Remotely Sensed Drought Monitoring Indicator for Morocco N. Bijaber et al. 10.3390/geosciences8020055
- Integrating satellite soil-moisture estimates and hydrological model products over Australia M. Khaki et al. 10.1080/08120099.2019.1620855
- SGD-SM 2.0: an improved seamless global daily soil moisture long-term dataset from 2002 to 2022 Q. Zhang et al. 10.5194/essd-14-4473-2022
- Developing and evaluating national soil moisture percentile maps C. Zhao et al. 10.1002/saj2.20045
- Soil Moisture for Hydrological Applications: Open Questions and New Opportunities L. Brocca et al. 10.3390/w9020140
- Using multi-satellite microwave remote sensing observations for retrieval of daily surface soil moisture across China K. Zhang et al. 10.1016/j.wse.2019.06.001
- Validation of Four Satellite-Derived Soil Moisture Products Using Ground-Based In Situ Observations over Northern China W. Liu et al. 10.3390/rs14061419
- The International Soil Moisture Network: serving Earth system science for over a decade W. Dorigo et al. 10.5194/hess-25-5749-2021
- Earth Observation-Based Operational Estimation of Soil Moisture and Evapotranspiration for Agricultural Crops in Support of Sustainable Water Management G. Petropoulos et al. 10.3390/su10010181
- ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions W. Dorigo et al. 10.1016/j.rse.2017.07.001
- Building a Flood-Warning Framework for Ungauged Locations Using Low Resolution, Open-Access Remotely Sensed Surface Soil Moisture, Precipitation, Soil, and Topographic Information S. Kim et al. 10.1109/JSTARS.2018.2790409
- Agro-meteorological drought risk assessment in the groundnut basin of Senegal: the case of the municipalities of Djilor, Diossong, Keur Samba Gueye and Toubacouta A. Kounta et al. 10.1080/10106049.2022.2142965
- Retrospective analysis and version improvement of the satellite-based drought composite index. A semi-arid Tensift-Morocco application I. Hanadé Houmma et al. 10.1080/10106049.2020.1844314
- An advanced error correction methodology for merging in-situ observed and model-based soil moisture Z. Wu et al. 10.1016/j.jhydrol.2018.09.018
- Regional assimilation of in situ observed soil moisture into the VIC model considering spatial variability J. Zhou et al. 10.1080/02626667.2019.1662024
- Satellite‐Observed Major Greening and Biomass Increase in South China Karst During Recent Decade M. Brandt et al. 10.1029/2018EF000890
- Exploiting the Convergence of Evidence in Satellite Data for Advanced Weather Index Insurance Design M. Enenkel et al. 10.1175/WCAS-D-17-0111.1
- A Review of Satellite-Derived Soil Moisture and Its Usage for Flood Estimation S. Kim et al. 10.1007/s41976-019-00025-7
- A daily 0.25° × 0.25° hydrologically based land surface flux dataset for conterminous China, 1961–2017 Y. Miao & A. Wang 10.1016/j.jhydrol.2020.125413
- Improving ecological indicators of arid zone deserts through simulation J. Wang et al. 10.1016/j.ecolmodel.2023.110506
- A Global Systematic Review of Improving Crop Model Estimations by Assimilating Remote Sensing Data: Implications for Small-Scale Agricultural Systems L. Dlamini et al. 10.3390/rs15164066
- Farmer Perception, Recollection, and Remote Sensing in Weather Index Insurance for Agriculture in the Developing World: An Ethiopia Case Study D. Osgood et al. 10.2139/ssrn.3242142
21 citations as recorded by crossref.
- Developing a Remotely Sensed Drought Monitoring Indicator for Morocco N. Bijaber et al. 10.3390/geosciences8020055
- Integrating satellite soil-moisture estimates and hydrological model products over Australia M. Khaki et al. 10.1080/08120099.2019.1620855
- SGD-SM 2.0: an improved seamless global daily soil moisture long-term dataset from 2002 to 2022 Q. Zhang et al. 10.5194/essd-14-4473-2022
- Developing and evaluating national soil moisture percentile maps C. Zhao et al. 10.1002/saj2.20045
- Soil Moisture for Hydrological Applications: Open Questions and New Opportunities L. Brocca et al. 10.3390/w9020140
- Using multi-satellite microwave remote sensing observations for retrieval of daily surface soil moisture across China K. Zhang et al. 10.1016/j.wse.2019.06.001
- Validation of Four Satellite-Derived Soil Moisture Products Using Ground-Based In Situ Observations over Northern China W. Liu et al. 10.3390/rs14061419
- The International Soil Moisture Network: serving Earth system science for over a decade W. Dorigo et al. 10.5194/hess-25-5749-2021
- Earth Observation-Based Operational Estimation of Soil Moisture and Evapotranspiration for Agricultural Crops in Support of Sustainable Water Management G. Petropoulos et al. 10.3390/su10010181
- ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions W. Dorigo et al. 10.1016/j.rse.2017.07.001
- Building a Flood-Warning Framework for Ungauged Locations Using Low Resolution, Open-Access Remotely Sensed Surface Soil Moisture, Precipitation, Soil, and Topographic Information S. Kim et al. 10.1109/JSTARS.2018.2790409
- Agro-meteorological drought risk assessment in the groundnut basin of Senegal: the case of the municipalities of Djilor, Diossong, Keur Samba Gueye and Toubacouta A. Kounta et al. 10.1080/10106049.2022.2142965
- Retrospective analysis and version improvement of the satellite-based drought composite index. A semi-arid Tensift-Morocco application I. Hanadé Houmma et al. 10.1080/10106049.2020.1844314
- An advanced error correction methodology for merging in-situ observed and model-based soil moisture Z. Wu et al. 10.1016/j.jhydrol.2018.09.018
- Regional assimilation of in situ observed soil moisture into the VIC model considering spatial variability J. Zhou et al. 10.1080/02626667.2019.1662024
- Satellite‐Observed Major Greening and Biomass Increase in South China Karst During Recent Decade M. Brandt et al. 10.1029/2018EF000890
- Exploiting the Convergence of Evidence in Satellite Data for Advanced Weather Index Insurance Design M. Enenkel et al. 10.1175/WCAS-D-17-0111.1
- A Review of Satellite-Derived Soil Moisture and Its Usage for Flood Estimation S. Kim et al. 10.1007/s41976-019-00025-7
- A daily 0.25° × 0.25° hydrologically based land surface flux dataset for conterminous China, 1961–2017 Y. Miao & A. Wang 10.1016/j.jhydrol.2020.125413
- Improving ecological indicators of arid zone deserts through simulation J. Wang et al. 10.1016/j.ecolmodel.2023.110506
- A Global Systematic Review of Improving Crop Model Estimations by Assimilating Remote Sensing Data: Implications for Small-Scale Agricultural Systems L. Dlamini et al. 10.3390/rs15164066
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Discussed (final revised paper)
Latest update: 14 Nov 2024
Short summary
Soil moisture is a crucial variable for a variety of applications, ranging from weather forecasting and agricultural production to the monitoring of floods and droughts. Satellite observations are particularly important in regions where no in situ measurements are available. Our study presents a method to integrate global near-real-time satellite observations from different sensors into one harmonized, daily data set. A first validation shows good results on a global scale.
Soil moisture is a crucial variable for a variety of applications, ranging from weather...
