Earth system science data · 2019 · 70 citations · 33 references
Natural SciencesEarth SciencesHydrologyHydrometeorologyRemote SensingSoil ScienceSatellite HydrometeorologySoil Sensor NetworksFlux Tower MeasurementsFlux Tower ValidationFlux-tower ObservationsHydrological Model CalibrationHydrological Model ValidationHydrometeorological ObservationsSoil Moisture ObservationSoil Moisture Validation
Abstract. Soil moisture and precipitation have been monitored in a hydrometeorological network situated within the Brightwater Creek basin, east of Kenaston, Saskatchewan, Canada, since 2007. The majority of the prairie landscape is annually cropped with some sections in pasture. This agricultural region is ideal for remote-sensing validation and calibration and, in conjunction with the flux tower situated within the network, hydrological model validation. Remote-sensing validation collaborations have included the European Space Agency's Soil Moisture and Ocean Salinity (SMOS) and NASA's Soil Moisture Active Passive (SMAP). The network was developed at two spatial scales, one high-resolution set of sites installed over a 10 km × 10 km region and a second installed over 40 km × 40 km. The sites are all similar in design with three instrument depths for soil moisture and temperature, as well as precipitation measurement. The 2007–2017 dataset published in this paper has gone through a quality control review process, which involved both automated and manual processes. The dataset is limited to the summer months (1 May–30 September) due to the uncertainties and complexities of measurement in frozen soils and the freeze–thaw period each year. Data discussed in this publication are available at https://doi.org/10.20383/101.0116, and data beyond 2017 can be requested from the corresponding author.
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Assessment of the SMAP Passive Soil Moisture Product
S. Chan, Rajat Bindlish, Peggy O’Neill et al. · IEEE Transactions on Geoscience and Remote Sensing · 2016 · 648 citations · Full text