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Structure-from-Motion Snow Depth Products and In Situ Observations for Late-Winter Tundra Mapping Project, Trail Valley Creek Research Station, Spring 2018
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Walker, Branden; Wilcox, Evan; Marsh, Philip — 2020-11-17 Presented here is the final dataset accompanying the publication, ,"Accuracy Assessment of Late Winter Snow Depth Mapping for Tundra Environments Using Structure-From-Motion Photogrammetry" submitted to <i>Arctic Science</i>, in Spring 2020. Included within are seven Structure-from-Motion (SfM) photogrammetry snow depth maps produced using a fixed-wing Unmanned Aerial System (UAS) and the methods described within the corresponding manuscript. In situ observations of snow depth collected using a Magnaprobe snow depth probe and snow-surface elevations are also included in separate CSV files and represent the final dataset used for ground validation during the 2018 March and April field campaigns at Trail Valley Creek, Northwest Territories, Canada. <p><p>A readme file is included containing important information on data collection, processing and QA/QC including UAS flights protocol, RTK GNSS benchmark coordinates and elevation datum, and processing steps for each snow depth map presented.
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Snow depth, density, and snow water equivalent observations at Trail Valley Creek Research Station, Northwest Territories, 2015-2019
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Walker, Branden; Marsh, Philip — 2021-11-12 This dataset contains a synthesis of all snow core measurements collected during annual snow surveys within the Trail Valley Creek Research Watershed, roughly 50km north of Inuvik, Northwest Territories, Canada. Observations of individual snow depths, density, weight (where applicable) and snow water equivalent are included for snow surveys in the area dating to 2015. The majority of the observations were conducted using an ESC-30 style snow corer tube, however due to the heterogeneity in tundra snow, deeper snowpacks were surveyed with a Federal style snow corer with adjustable depths. Data were collected by various skilled snow survey crews using consistent methods over the various years. Each point includes the date of sampling as well as the site location ID.
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Isotope data and associated attributes for 25 thermokarst lakes along the Inuvik – Tuktoyaktuk Highway, 2018
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Wilcox, Evan; Wolfe, Brent; Marsh, Philip — 2022-05-02 This dataset contains water isotope concentrations measured from 25 lakes at five time points in 2018, along with snowpack and rainfall isotope concentrations from 2018. The lakes spanned a ~70km stretch of the Inuvik to Tuktoyaktuk Highway (ITH). Rainfall samples were collected in Inuvik, while snowpack samples were collected within the vicinity of the Trail Valley Creek Research Station. The dataset also contains lake and watershed characteristics for the 25 lakes that were sampled for water isotope analysis. Lake-specific properties include surface area, watershed position, depth, latitude, longitude, and elevation, while watershed-specific properties include surface area, average hillslope angle, drainage density, and ice-wedge polygon coverage. Watersheds were delineated using a 2-metre resolution digital elevation model and the D8 algorithm. Within each watershed, the areas of ice-wedge polygons were identified visually from satellite imagery and digitized manually. Drainage density was calculated as the length of all flowpaths with a contributing area greater than 5000 m2, and then divided by the total area of the watershed.
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Frost table depth with associated snow and landscape variables at Trail Valley Creek, NT, 2015.
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Wilcox, Evan; Keim, Dawn; de Jong, Tyler; Walker, Branden; Mann, Philip; Marsh, Philip — 2020-02-05 These data were collected to better understand what influences frost table depth at a small (10-1000 m) scale within Arctic shrub tundra. Frost table depth was collected at eight grids and two transects eight times between June 11 and August 20, 2015, resulting in a total of 3056 frost table depth measurements. At locations where frost table depth was measured, snow, vegetation and other landscape variables thought to affect frost table depth were also documented. For more description of the data collection methods, see Wilcox et al. (2019), https://doi.org/10.1139/as-2018-0028.

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(source : Wilfrid Laurier University Dataverse) AND (auteur : Marsh, Philip)

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