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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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High resolution land cover classification map for regions of Trail Valley Creek using Unmanned Aerial Systems (UAS)
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Walker, Branden — 2020-12-16 The following dataset provides a high-resolution (1 metre) land cover classification for a portion of the Trail Valley Creek (TVC) Research Watershed, NWT. The areal coverage of this product covers the Siksik Creek, Big Bear Lake, Little Bear Lake, Inuvik-Tuktoyaktuk Highway (ITH) bridge, and TVC valley study areas including coverage of the TVC Main Meteorological (TMM) station. Collectively, throughout this document we refer to this region as the “Greater Siksik Area”. In total, the classification product covers an aerial footprint of 5.4 km2. The classification was created using high-resolution RGB imagery collected using a fixed-wing Unmanned Aerial System (UAS) in the Fall of 2019 at the peak of plant senescence where autumn leaf colour was at its maximum and before leaves had fallen.
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Satellite-Derived Landcover Classifications for Trail Valley Creek Research Watershed: 1990 and 2019
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Walker, Branden — 2022-01-18 This dataset provides a 30-metre resolution landcover classification for the Trail Valley Creek Research Watershed conducted using Landsat Series multispectral products. Landcover classifications were conducted for two periods to accompany the long-term end-of-winter snow survey records for the research domain (1991-present). Data are provided as 30m raster .tif files for the Trail Valley Creek watershed domain monitored upstream of the Water Survey of Canada stream gauge.
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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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