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Zenodo Translation missing: fr.blacklight.search.logo
Zenodo
Montpetit, Benoit; King, Joshua; Toose, Peter; Silis, Arvids; Derksen, Chris; Brady, Mike 2024-03-07 This dataset contains in situ snow measurements recorded as part of Environment and Climate Change Canada's 2018-2019 Trail Valley Creek Snow Experiment (TVC Experiment 18/19). These measurements were collected to evaluate coincident airborne and satellite radar measurements to better understand snow-radar interactions in a tundra environment. The measurements were recorded 50 km north of the town of Inuvik, Northwest Territories around the Trail Valley Creek research station (https://www.trailvalleycreek.ca/). Three periods of measurement took place in November 2018, January 2019, and March 2019 . Measurements and observations were recorded in handwritten snow pit sheets before being transcribed to electronic sheets. The dataset is organized by surveyed site and includes: 1) manual snowpit measurements of the following parameters: Total snow depth, vertical profiles of snow temperature, snow density, stratigraphy and grain size and notes on site characteristics and environmental conditions. 2) distributed snow depth measurements around the surveyed sites recorded with an automatic snow depth probe (magnaprobe), 3) SnowMicroPenetrometer (SMP) force profiles coincident with the snowpit measurements and distributed along the magnaprobe transects with its metadata file, and 4) snow microstructure profiles measuring specific surface area (SSA) using the IceCube instrument. All geographic coordinates were recorded with Garmin GPS units using the geographic coordinate system: WGS 84 (EPSG: 4236). There are four type of data files: snow pit sheets, magnaprobe data, SMP-derived snow parameters and raw SMP penetration force profiles. Snow pit sheets and magnaprobe data are provided as Microsoft Excel (.xlsx) files. SMP-derived snow parameters are provided in comma-separated value (.csv) files. The raw SMP force profiles are binary (.pnt) files. A synthesized version of the magnaprobe snow depth data extracted and associated with a specific snow pit was previously published here https://doi.org/10.5281/zenodo.8350643 . https://open.canada.ca/en/open-government-licence-canada
Zenodo Translation missing: fr.blacklight.search.logo
Zenodo
Montpetit, Benoit; King, Joshua; Siqueira, Paul; Adam, J. Max; Toose, Peter; Derksen, Chris; Brady, Mike 2024-03-07 This dataset contains the processed, backscatter data from the airborne UMass Ku-Band SAR data, as part of Environment and Climate Change Canada's 2018-2019 Trail Valley Creek Snow Experiment (TVC Experiment 18/19). These measurements were collected to evaluate coincident ground snow data, airborne and satellite radar measurements to better understand snow-radar interactions in a tundra environment. The measurements were acquired around the Trail Valley Creek research station (https://www.trailvalleycreek.ca/) in Northwest Territories, Canada. Three periods of ground measurement, coincident with these airborne measurements, took place in November 2018, January 2019, and March 2019. The dataset consists of processed imagery with 100m averaged backscatter data and incidence angle data around all surveyed sites. Flight information and coincident field measurement metadata are also included. https://open.canada.ca/en/open-government-licence-canada
Zenodo Translation missing: fr.blacklight.search.logo
Zenodo
Montpetit, Benoit; King, Joshua; Toose, Peter; Derksen, Chris; Brady, Mike 2024-03-07 This dataset contains the processed LiDAR data of Lange et al. (2021) (https://doi.pangaea.de/10.1594/PANGAEA.934387), as part of Environment and Climate Change Canada's 2018-2019 Trail Valley Creek Snow Experiment (TVC Experiment 18/19). These measurements were collected to evaluate soil roughness impacts on airborne and satellite radar measurements to better understand snow-radar interactions in a tundra environment. The measurements were around the Trail Valley Creek research station (https://www.trailvalleycreek.ca/) in Northwest Territories, Canada. Three periods of ground measurement took place in November 2018, January 2019, and March 2019. The dataset consists of LiDAR estimates of surface roughness statistics including the Root Mean Square (RMS) height and correlation length for a 100 m footprint around all in situ snowpit survey sites. The original dataset was collected by Lange et al. (2021) and can be retrieved here: https://doi.pangaea.de/10.1594/PANGAEA.934387 https://open.canada.ca/en/open-government-licence-canada
Zenodo Translation missing: fr.blacklight.search.logo
Zenodo
Montpetit, Benoit; King, Joshua; Toose, Peter; Derksen, Chris; Brady, Mike 2024-03-07 This dataset contains the processed, backscatter data from Radarsat-2 (RSAT-2) satellite data, as part of Environment and Climate Change Canada's 2018-2019 Trail Valley Creek Snow Experiment (TVC Experiment 18/19). These RSAT-2 data were collected and processed evaluate against a network of Steven’s HydraProbe soil monitoring sensors, and coincident in situ snowpit measurements, airborne radar, and other satellite radar data to better understand soil-snow-radar interactions in a tundra environment. The RSAT-2 data was ordered to provide wintertime coverage from September 2018 to July 2019, over the Trail Valley Creek research station (https://www.trailvalleycreek.ca/) in Northwest Territories, Canada. Three periods of in situ snow measurement took place in November 2018, January 2019, and March 2019. RSAT-2 data was acquired in Wide Fine Quad mode HH+HV+VH+VV. The RSAT-2 products were processed using the European Space Agency’s (ESA), Sentinel Application Platform (SNAP) software which included image calibration to sigma nought and orthorectification. An average of the calibrated backscatter and incidence angles was then calculated for an area 100 x 100 meters surrounding the geographic coordinates of each snowpit. RADARSAT-2 Data and Products © MacDonald, Dettwiler and Associates Ltd. (2018) – All Rights Reserved. RADARSAT is an official trademark of the Canadian Space Agency. https://open.canada.ca/en/open-government-licence-canada
Zenodo Translation missing: fr.blacklight.search.logo
Zenodo
Montpetit, Benoit; Wendleder, Anna; King, Joshua; Toose, Peter; Derksen, Chris; Brady, Mike 2024-03-07 This dataset contains the processed, backscatter data from TerraSAR-X (TSX) satellite data, as part of Environment and Climate Change Canada's 2018-2019 Trail Valley Creek Snow Experiment (TVC Experiment 18/19). These TSX data were collected and processed to evaluate against a network of Steven’s HydraProbe soil monitoring sensors, and coincident in situ snowpit measurements, airborne radar, and other satellite radar data to better understand soil-snow-radar interactions in a tundra environment. The TSX data was ordered to provide a wintertime series of repeat overpasses from September 2018 to June 2019, over the Trail Valley Creek research station (https://www.trailvalleycreek.ca/) in Northwest Territories, Canada. Three periods of in situ snow measurement took place in November 2018, January 2019, and March 2019. TSX data was acquired from two stripmap orbits, one in HH/HV and the other in VV/VH. The TSX products were processed using the European Space Agency’s (ESA), Sentinel Application Platform (SNAP) software which included image calibration to sigma nought and orthorectification. An average of the calibrated backscatter and incidence angles was then calculated for an area 100 x 100 meters surrounding the geographic coordinates of each snowpit. The TerraSAR-X data are available through the DLR (© DLR 2019). https://open.canada.ca/en/open-government-licence-canada

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