Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 26, issue 3
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.
https://doi.org/10.5194/hess-26-841-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 26, issue 3
Research article
 | 
15 Feb 2022
Research article |  | 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, Marco Chini, Wouter Dorigo, and Simon Plank

Data sets

Sentinel-1 data Copernicus https://scihub.copernicus.eu/

Discharge data USGS National Water Information System https://waterdata.usgs.gov/nwis/uv?06469400

Precipitation data NOAA NCDC Global Surface Summary of the Day (GSOD) https://www.ncei.noaa.gov/access/search/data-search/global-summary-of-the-day

Gridded Surface Meteorological Dataset (GRIDMET) PDSI J. Abatzoglou https://www.climatologylab.org/gridmet.html

NAIP imagery USDA Farm Service Agency https://doi.org/10.5066/F7QN651G

Topography data North Dakota State Water Commission https://www.gis.nd.gov/

Crop-specific data layer USDA National Agricultural Statistics Service Cropland Data Layer https://nassgeodata.gmu.edu/CropScape/

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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.
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