Articles | Volume 11, issue 2
https://doi.org/10.5194/essd-11-787-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-11-787-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Review article
| 
11 Jun 2019
Review article |
| 11 Jun 2019
| 11 Jun 2019
An 11-year (2007–2017) soil moisture and precipitation dataset from the Kenaston Network in the Brightwater Creek basin, Saskatchewan, Canada
Erica Tetlock
CORRESPONDING AUTHOR
Environment and Climate Change Canada, Saskatoon, Saskatchewan, Canada
Brenda Toth
Environment and Climate Change Canada, Saskatoon, Saskatchewan, Canada
Aaron Berg
Department of Geography, Environment and Geomatics, University of Guelph, Guelph, Ontario, Canada
Tracy Rowlandson
Department of Geography, Environment and Geomatics, University of Guelph, Guelph, Ontario, Canada
Jaison Thomas Ambadan
Department of Geography, Environment and Geomatics, University of Guelph, Guelph, Ontario, Canada
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- Improved modelling of a Prairie catchment using a progressive two-stage calibration strategy with in situ soil moisture and streamflow data S. Budhathoki et al. 10.2166/nh.2020.109
- Monitoring Crops Using Compact Polarimetry and the RADARSAT Constellation Mission L. Dingle Robertson et al. 10.1080/07038992.2022.2121271
- Process based calibration of a continental-scale hydrological model using soil moisture and streamflow data A. Bajracharya et al. 10.1016/j.ejrh.2023.101391
- Effect of Rainfall Events on SMAP Radiometer-Based Soil Moisture Accuracy Using Core Validation Sites A. Colliander et al. 10.1175/JHM-D-19-0122.1
- Bridging spatio-temporal discontinuities in global soil moisture mapping by coupling physics in deep learning Z. Wei et al. 10.1016/j.rse.2024.114371
- 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
- In Situ Estimates of Freezing/Melting Point Depression in Agricultural Soils Using Permittivity and Temperature Measurements R. Pardo Lara et al. 10.1029/2019WR026020
- Monitoring Freeze-Thaw State by Means of GNSS Reflectometry: An Analysis of TechDemoSat-1 Data D. Comite et al. 10.1109/JSTARS.2020.2986859
- The Impact of In Situ Probe Orientation on SMAP Validation Statistics A. Berg et al. 10.1109/LGRS.2020.3018077
- Uncertainty of Reference Pixel Soil Moisture Averages Sampled at SMAP Core Validation Sites F. Chen et al. 10.1175/JHM-D-19-0049.1
- The Texas Soil Observation Network:A Comprehensive Soil Moisture Dataset for Remote Sensing and Land Surface Model Validation T. Caldwell et al. 10.2136/vzj2019.04.0034
- Stochastic bias correction for RADARSAT-2 soil moisture retrieved over vegetated areas J. Lee et al. 10.1080/10106049.2021.2017009
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- The synergistic use of microwave coarse-scale measurements and two adopted high-resolution indices driven from long-term T-V scatter plot for fine-scale soil moisture estimation F. Mohseni & M. Mokhtarzade 10.1080/15481603.2021.1906056
- RETRACTED ARTICLE: Integrated approach for ocean data remote sensing with extensive ecological and earth system science learning J. Yan et al. 10.1007/s10479-021-04377-6
- A global near-real-time soil moisture index monitor for food security using integrated SMOS and SMAP S. Sadri et al. 10.1016/j.rse.2020.111864
Latest update: 14 Dec 2024
Short summary
Soil moisture and precipitation have been monitored in the Brightwater Creek basin, east of Kenaston, Saskatchewan, since 2007. Soil moisture, soil temperature, and precipitation data from the 35+ stations, from 2007 to 2017, are presented, along with processing details. Data from the network are used for remote-sensing validation and calibration and, in conjunction with other instruments within the network, hydrological model validation.
Soil moisture and precipitation have been monitored in the Brightwater Creek basin, east of...
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