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Williamson, Matthew; Adams, Justin R.; Berg, Aaron A.; Derksen, Chris; Toose, Peter; Walker, Anne 2017-02-15 Several large in-situ soil moisture-monitoring networks currently exist over seasonally frozen regions which could have potential use for the validation of remote sensing soil freeze/thaw (F/T) products. However, due to our limited understanding of how the existing network instrumentation responds to changes in near surface soil F/T, these networks are largely ignored during the winter months. This case study describes the results of a small plot-scale (7 x7 m) study from November 2013 through April 2014 instrumented with 36 Hydra Probes. During the study, soil temperature and real dielectric permittivity were measured every 15 minutes during two F/T transition periods at shallow soil depths (0-10 cm). Categorical soil temperature and real dielectric permittivity techniques were then used to define the soil F/T state during these periods. The study showed that both methods for detecting soil freezing showed agreement (53.3- 60.9 %) during the spring thaw. Bootstrapping results demonstrated that both moderate to strong agreement with each other (84.7- 95.6 %) during the fall freeze but only weak techniques showed a mean difference within ±1.0°C and ±1.4 between the standard 5 cm below ground horizontal probe installation depth and the 2, 10 and integrated 0 -5.7 cm probe depths installed within the same study plot. Overall this study demonstrates that the Hydra Probe offers promise for near surface soil F/T detection using existing soil moisture monitoring networks. The research also suggests that the device may have important applications for the validation of remote sensing F/T products.
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Humphrey, Rachel E.; Adams, Justin R.; Berg, Aaron A.; Marsh, Philip 2017-02-17 Synthetic aperature radar (SAR) remote sensing offers a technology potentially capable of capturing information about soil moisture at high spatial and temporal resolutions. This method has been shown to be effective in lower latitude environments however there has been a lack of investigation in arctic environments, particularly in organic permafrost soils. A preliminary analysis was performed at Trail Valley Creek, Northwest Territories, where an investigation of the statistical spatial variability of soil moisture and processes controlling soil moisture was completed. Both of these are key steps required for modeling soil moisture retrievals from satellites. Second, an assessment of the sensitivity of RADARSAT-2 backscatter to surface soil moisture conditions was completed to examine whether SAR can provide a much needed method to map soil moisture across the arctic. Results showed a strong relationship between backscatter and soil moisture (R2 =0.688) and demonstrate the potential for SAR soil moisture retrieval in arctic ecosystems.
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Wrona, Elizabeth; Rowlandson, Tracy L.; Nambiar, Manoj; Berg, Aaron A.; Colliander, Andreas; Marsh, Philip 2017-03-10 This study examines Soil Moisture Active Passive (SMAP) soil moisture product on the EASE-2 36km Global cylindrical and North Polar azimuthal grids relative to two in situ soil moisture monitoring networks that were installed in 2015 and 2016. Results indicate that there is no relationship between the SMAP Level-2 passive soil moisture product and the upscaled in situ measurements. Additionally, there is very low correlation between modeled brightness temperature using the Community Microwave Emission Model and the Level-1 C SMAP brightness temperature interpolated to the EASE-2 Global grid; however, there is a much stronger relationship to the brightness temperature measurements interpolated to the North Polar grid, suggesting that the soil moisture product could be improved with interpolation on the North Polar grid.
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MacDougall, Joshua; Berg, Aaron A.; Rowlandson, Tracy L. 2017-03-28 Aaron Berg's Research Group in the Department of Geography, College of Social and Applied Human Sciences, University of Guelph, collects information from five different agricultural fields at the Elora Research Station. The purpose of the study is to evaluate the effect of increased vegetation on backscatter measurements as collected from the RADARSAT-2 satellite. This dataset contains backscatter, soil moisture, dielectric, vegetation water content (W), and leaf area index (LAI) measurements. The POGO probe collects soil moisture and dielectric constant measurements from various sites and depths on each field. The RADARSAT-2 satellite collects backscatter (dB) which can be derived to estimate soil moisture, leaf area index, and volumetric water content measurements. The LAI-2200C Plant Canopy Analyzer was used to measure leaf area index. The study aims to determine the point at with the RADARSAT-2 satellite loses sensitivity in backscatter as a result of increased vegetation growth. This is analyzed by comparing the strength of the relationship between RADARSAT-2 backscatter and field based soil moisture, LAI, and W during vegetation development. Then, using piecewise regression before and after the derived inflection point. This set includes data from May 19th, 2015 to September 16th, 2016.

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