Articles | Volume 26, issue 3
https://doi.org/10.5194/hess-26-841-2022
© Author(s) 2022. 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-26-841-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
15 Feb 2022
Research article |
| 15 Feb 2022
| 15 Feb 2022
Monitoring surface water dynamics in the Prairie Pothole Region of North Dakota using dual-polarised Sentinel-1 synthetic aperture radar (SAR) time series
Stefan Schlaffer
CORRESPONDING AUTHOR
Department of Geodesy and Geoinformation, Technische Universität Wien, Wiedner Hauptstr. 8–10, 1040 Vienna, Austria
Earth Observation Center, German Aerospace Center, Münchener Str. 20, 82234 Wessling, Germany
Marco Chini
Environmental Sensing and Modelling Unit, Luxembourg Institute of Science and Technology, 41 rue du Brill, 4422 Belvaux, Luxembourg
Wouter Dorigo
Department of Geodesy and Geoinformation, Technische Universität Wien, Wiedner Hauptstr. 8–10, 1040 Vienna, Austria
Simon Plank
Earth Observation Center, German Aerospace Center, Münchener Str. 20, 82234 Wessling, Germany
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Cited
17 citations as recorded by crossref.
- Near real-time change detection tool for photogrammetric flood preparedness M. Kögel & D. Carstensen 10.1007/s10661-024-13597-9
- Surface Water Extent Extraction in Prairie Environments Using Sentinel-1 Image-Pair Coherence P. Chen & G. Gunn 10.3390/glacies2020006
- High-frequency time series comparison of Sentinel-1 and Sentinel-2 satellites for mapping open and vegetated water across the United States (2017–2021) M. Vanderhoof et al. 10.1016/j.rse.2023.113498
- Fast Expansion of Surface Water Extent in Coastal Chinese Mainland from the 1980s to 2020 Based on Remote Sensing Monitoring Y. Chen et al. 10.3390/w17020194
- Areal extent of vegetative cover: A challenge to regional upscaling of methane emissions J. Melack & L. Hess 10.1016/j.aquabot.2022.103592
- Inundation–Desiccation State Prediction for Salt Pans in the Western Pannonian Basin Using Remote Sensing, Groundwater, and Meteorological Data H. Schauer et al. 10.3390/rs15194659
- Dense Time Series Generation of Surface Water Extents through Optical–SAR Sensor Fusion and Gap Filling K. Markert et al. 10.3390/rs16071262
- Small waterbodies of large conservation concern: Towards an integrated approach to more accurately measuring surface water dynamics O. McKenna et al. 10.1016/j.ecolind.2025.113525
- Advancing road maintenance with EfficientDet-based pothole monitoring A. Jenefa et al. 10.2298/SJEE2501057J
- Automatic Flood Monitoring Method with SAR and Optical Data Using Google Earth Engine X. Peng et al. 10.3390/w17020177
- Creating a Detailed Wetland Inventory with Sentinel-2 Time-Series Data and Google Earth Engine in the Prairie Pothole Region of Canada E. DeLancey et al. 10.3390/rs14143401
- Rapid Extreme Tropical Precipitation and Flood Inundation Mapping Framework (RETRACE): Initial Testing for the 2021–2022 Malaysia Flood Y. Tew et al. 10.3390/ijgi11070378
- Multiscale Analysis of Water Area, Level and Flow and Their Relationships for a Large Lake Connected to Rivers: A Case Study of Dongting Lake, China S. Xu et al. 10.3390/w16091198
- Monitoring Surface Water Inundation of Poyang Lake and Dongting Lake in China Using Sentinel-1 SAR Images Z. Wang et al. 10.3390/rs14143473
- SSegRef2Surf—Near Real-Time Photogrammetric Flood Monitoring and Refinement of Classified Water Surfaces M. Kögel et al. 10.3390/rs17081351
- Mapping seamless surface water dynamics over East Africa semimonthly at a 10-meter resolution in 2017–2023 by integrating Sentinel-1/2 data Z. Wang et al. 10.1016/j.isprsjprs.2025.04.032
- Investigating the Use of Sentinel-1 for Improved Mapping of Small Peatland Water Bodies: Towards Wildfire Susceptibility Monitoring in Canada’s Boreal Forest S. Schultz et al. 10.3390/hydrology10050102
17 citations as recorded by crossref.
- Near real-time change detection tool for photogrammetric flood preparedness M. Kögel & D. Carstensen 10.1007/s10661-024-13597-9
- Surface Water Extent Extraction in Prairie Environments Using Sentinel-1 Image-Pair Coherence P. Chen & G. Gunn 10.3390/glacies2020006
- High-frequency time series comparison of Sentinel-1 and Sentinel-2 satellites for mapping open and vegetated water across the United States (2017–2021) M. Vanderhoof et al. 10.1016/j.rse.2023.113498
- Fast Expansion of Surface Water Extent in Coastal Chinese Mainland from the 1980s to 2020 Based on Remote Sensing Monitoring Y. Chen et al. 10.3390/w17020194
- Areal extent of vegetative cover: A challenge to regional upscaling of methane emissions J. Melack & L. Hess 10.1016/j.aquabot.2022.103592
- Inundation–Desiccation State Prediction for Salt Pans in the Western Pannonian Basin Using Remote Sensing, Groundwater, and Meteorological Data H. Schauer et al. 10.3390/rs15194659
- Dense Time Series Generation of Surface Water Extents through Optical–SAR Sensor Fusion and Gap Filling K. Markert et al. 10.3390/rs16071262
- Small waterbodies of large conservation concern: Towards an integrated approach to more accurately measuring surface water dynamics O. McKenna et al. 10.1016/j.ecolind.2025.113525
- Advancing road maintenance with EfficientDet-based pothole monitoring A. Jenefa et al. 10.2298/SJEE2501057J
- Automatic Flood Monitoring Method with SAR and Optical Data Using Google Earth Engine X. Peng et al. 10.3390/w17020177
- Creating a Detailed Wetland Inventory with Sentinel-2 Time-Series Data and Google Earth Engine in the Prairie Pothole Region of Canada E. DeLancey et al. 10.3390/rs14143401
- Rapid Extreme Tropical Precipitation and Flood Inundation Mapping Framework (RETRACE): Initial Testing for the 2021–2022 Malaysia Flood Y. Tew et al. 10.3390/ijgi11070378
- Multiscale Analysis of Water Area, Level and Flow and Their Relationships for a Large Lake Connected to Rivers: A Case Study of Dongting Lake, China S. Xu et al. 10.3390/w16091198
- Monitoring Surface Water Inundation of Poyang Lake and Dongting Lake in China Using Sentinel-1 SAR Images Z. Wang et al. 10.3390/rs14143473
- SSegRef2Surf—Near Real-Time Photogrammetric Flood Monitoring and Refinement of Classified Water Surfaces M. Kögel et al. 10.3390/rs17081351
- Mapping seamless surface water dynamics over East Africa semimonthly at a 10-meter resolution in 2017–2023 by integrating Sentinel-1/2 data Z. Wang et al. 10.1016/j.isprsjprs.2025.04.032
- Investigating the Use of Sentinel-1 for Improved Mapping of Small Peatland Water Bodies: Towards Wildfire Susceptibility Monitoring in Canada’s Boreal Forest S. Schultz et al. 10.3390/hydrology10050102
Latest update: 19 Jun 2025
Short summary
Prairie wetlands are important for biodiversity and water availability. Knowledge about their variability and spatial distribution is of great use in conservation and water resources management. In this study, we propose a novel approach for the classification of small water bodies from satellite radar images and apply it to our study area over 6 years. The retrieved dynamics show the different responses of small and large wetlands to dry and wet periods.
Prairie wetlands are important for biodiversity and water availability. Knowledge about their...
