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Validation of SMAP retrieval in an Arctic tundra environment: Trail Valley Creek, Northwest Territories [Canada] dataset
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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.
University of Guelph Dataverse Translation missing: fr.blacklight.search.logo
Soil moisture, vegetation analysis and raw logger research dataset: Elora Research Station, Elora, Ontario [Canada] May 19, 2015 to September 16, 2016
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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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(auteur : Rowlandson, Tracy L.)

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