Search

Global Water Futures (FRDR) Logo
Unmanned aerial vehicle structure from motion and lidar data for sub-canopy snow depth mapping
Federated Research Data Repository / dépôt fédéré de données de recherche
Harder, Phillip; Pomeroy, John; Helgason, Warren — 2024-03-27 Unmanned Aerial Vehicles (UAV) have had recent widespread application to capture high resolution information on snow processes and the data herein was collected to address the sub-canopy snow depth challenge. Previous demonstrations of snow depth mapping with UAV Structure from Motion (SfM) and airborne-lidar have focused on non-vegetated surfaces or reported large errors in the presence of vegetation. In contrast, UAV-lidar systems have high-density point clouds, measure returns from a wide range of scan angles, and so have a greater likelihood of successfully sensing the sub-canopy snow depth. The effectiveness of UAV-lidar and UAV-SfM in mapping snow depth in both open and forested terrain was tested with data collected in a 2019 field campaign in the Canadian Rockies Hydrological Observatory, Alberta and at Canadian Prairie sites near Saskatoon, Saskatchewan, Canada. The data archived here comprises the raw point clouds from the UAV-SfM and UAV-lidar platforms, generated digital surface models, and survey data used for accuracy assessment for the field campaign in question as reported in Harder et al., 2019. This dataset was generated by the work of the Smart Water Systems Laboratory within the Centre for Hydrology at the University of Saskatchewan. This contributes to the objectives of a number of Pillar 3 Global Water Futures projects including Mountain Water Futures and the Transformative Technology and Smart Watersheds. https://creativecommons.org/licenses/by/4.0/
Global Water Futures (FRDR) Logo
Atmospheric boundary layer measurements from Athabasca Glacier field campaign, June 2015
Federated Research Data Repository / dépôt fédéré de données de recherche
Conway, Jono; Helgason, Warren; Pomeroy, John; Sicart, Jean-Emmanuel; Johnson, Bruce — 2024-03-27 This dataset consists of data from a suite of instruments deployed on and around Athabasca Glacier in June 2015. The campaign aimed to capture the atmospheric circulation over the glacier, its interaction with the pro-glacial valley and impact on glacier surface energy balance. The dataset consists of timeseries from numerous automatic weather stations, surface energy balance and boundary layer profiling systems. The data has had some quality control applied, mainly to correct known instrument biases, fill missing data and resample to a common 30-minute timestamp. Data from a novel kite profiling system has been processed into mean profiles of temperature and wind speed for individual kite flights. The 12-day period of data runs from 2015-06-18 00:30 to 2015-06-30 00:00 Mountain Standard time. https://creativecommons.org/licenses/by/4.0/
Global Water Futures (FRDR) Logo
Soil Moisture Data from the Brightwater Creek Pasture Site (2012-2014)
Federated Research Data Repository / dépôt fédéré de données de recherche
Peterson, Amber; Helgason, Warren; Ireson, Andrew — 2024-03-27 This dataset includes root-zone and surface soil moisture measurements from a heterogeneous grazed pasture site (containing both Solonetzic (sodic) and Chernozemic (non-sodic) soil) located within the Brightwater Creek watershed (central Saskatchewan). Surveys of surface soil moisture (0–6cm) were conducted on four different measurement days ranging from extreme wet to extreme dry conditions. On each survey, moisture was measured over a 500m by 500m area at a grid spacing of 20m resulting in 625 points. Root-zone soil moisture (0–110cm) was monitored at 21 locations, primarily with 50m spacing along 2 transects. Measurements were taken at 20, 40, 60, 80, and 100cm depth by neutron probe; bi-weekly in 2012–2013 and monthly in 2014. At each monitoring location, the potential controls on soil moisture were measured. This included elevation, vegetation type, maximum snow water equivalent, bulk density, and the exchangeable sodium percentage. This data is suitable for examining the spatial and temporal variability of soil moisture and its controlling factors, as well as testing upscaling techniques. https://creativecommons.org/licenses/by/4.0/
Global Water Futures (FRDR) Logo
The Swift Current hillslopes, Saskatchewan: Digital elevation data
Federated Research Data Repository / dépôt fédéré de données de recherche
Coles, Anna; Russell, Mark; Onclin, Cuyler; Helgason, Warren; Peterson, Amber; Solohub, Michael; McDonnell, Jeffrey — 2024-03-27 The Swift Current hillslopes at the Swift Current Research and Development Centre on the Canadian Prairies are a long-term hydrological research site. Over the last 50 years, the site has supported research on the effects of climate change and land management change on snowmelt-runoff, soil erosion and nutrient transport from agricultural hillslopes. High-resolution digital elevation data are essential for spatially-distributed understanding of these runoff delivery and transport processes. The three hillslopes are rectangular in shape, each approximately 150 m wide (east-west) and 300-320 m long (north-south), with areas of 4.25 ha (Hillslope 1), 4.66 ha (Hillslope 2), and 4.86 ha (Hillslope 3). This dataset provides two sets of bare-ground digital elevation data for the Swift Current hillslopes. The first set contains digital elevation data collected at a 2 m horizontal resolution for each of the three hillslopes using a Leica Viva GS15 on 17-18 April 2012. The second set contains two digital elevation models at a 0.25 m horizontal resolution for Hillslope 2 obtained using an Optech ILRIS-LR Terrestrial Laser Scanner on 7 July 2014 and 24 September 2014. These finer-resolution 2014 surveys capture the surface micro-topography of Hillslope 2 under a tilled condition with non-directional variations in surface roughness (random toughness) as well as under a seeded condition with uni-directional ridge-and-furrow features (oriented roughness). These digital elevation data provide the scientific and engineering communities with an opportunity to advance our understanding of spatial hydrological processes and the importance of micro-topographic features. **Please note: This dataset is linked to an ESSD paper at https://doi.org/10.5194/essd-11-1375-2019.  The authors kindly request that you reference this paper in addition to the dataset. https://creativecommons.org/licenses/by/4.0/
Global Water Futures (FRDR) Logo
Hydrometeorological observations at three boreal forest sites (aspen, jack pine, and black spruce) located in central Saskatchewan, Canada
Federated Research Data Repository / dépôt fédéré de données de recherche
Ahmed, Hafiz Faizan; Helgason, Warren; Barr, Alan G.; Black, T. Andrew — 2024-03-27 Long-term observations are presented here from two coniferous (jack pine and black spruce) and one deciduous (aspen) forest sites located in central Saskatchewan, Canada. These sites were initiated through the Boreal Ecosystem and Atmosphere Study (BOREAS) program during 1994-96 (http://boreas.gsfc.nasa.gov/) and were later operated under the Boreal Ecosystem Research and Monitoring Sites (BERMS) program. All three sites were equipped with rich instrumentation that include walk-up scaffold towers fitted with sensors to measure air temperature, humidity and wind speed, above canopy shortwave and longwave radiation components, as well as fluxes of energy, carbon and water. Other onsite measurements included precipitation, snow depth, snow density, snow temperature, soil temperature and moisture profiles. These observations are useful for an improved understanding about the contrasts among sites. Moreover, the data is also very useful for modelling applications (calibration and validation). In addition to site observations, dynamically downscaled future meteorological observations by the Weather Research Forecast (WRF) model using Pseudo Global Warming (PGW) approach are included in the dataset. The WRF data was biased corrected by quantile-mapping method using the observed dataset. Thus, the data is ideal for testing, development, calibration, improvement, and validation of hydrological and/or land surface models as well as for projecting future changes in critical processes under changing climate. https://creativecommons.org/licenses/by/4.0/
Global Water Futures (FRDR) Logo
Water-Energy-Crop Observations (2015-2021) in Saskatchewan, Canada
Federated Research Data Repository / dépôt fédéré de données de recherche
Harder, Phillip; Helgason, Warren; Johnson, Bruce; Pomeroy, John W. — 2024-07-22 Beginning in 2015, field observations were initiated to quantify crop growth and land-atmosphere energy and water exchanges over agricultural surfaces in the semi-arid south central Saskatchewan prairies. Early research focussed on sites in the Brightwater Creek Research Basin (BWC) near Kenaston, 80 km south of Saskatoon, Saskatchewan (Tetlock et al., 2019). Additional sites were instrumented in 2018 at the University of Saskatchewan’s Livestock and Forage Centre for Excellence (LFCE) near Clavet, 30 km southeast of Saskatoon, Saskatchewan. Cumulatively this data collection effort comprises 17 site years for 7 different crop types. This dataset is comprised of micrometeorological, energy balance (radiation and turbulent fluxes), precipitation, soil moisture and crop growth observations aggregated to the daily scale. Stations were located within agricultural fields to satisfy the homogeneity assumptions required for eddy covariance observations and span the interval between planting and harvest. Data gapfilling and QA/QC procedures are described in the associated submitted manuscript. https://creativecommons.org/licenses/by/4.0/
Global Water Futures (FRDR) Logo
UAV-borne gamma spectrometry and lidar observations of prairie snow water equivalent
Federated Research Data Repository / dépôt fédéré de données de recherche
Harder, Phillip; Helgason, Warren; Pomeroy, John W — 2024-03-27 Gamma and lidar observations from a UAV were collected over two seasons from shallow, wind-blown, prairie snowpacks in Saskatchewan, Canada with validation data collected from manual snow depth and density observations. The data included herein includes the snow survey point observations, the gamma spectrometer count rates, and raster’s of snow depth (at 0.25m resolution) and snow water equivalent from combining lidar snow depth and manual snow density observations at 0.25 and 22.5m resolutions, and snow water equivalent directly from gamma observations at 22.5m. This dataset provides the means to test the ability of UAV-gamma spectroscopy to resolve the areal average and spatial variability of snow water equivalent directly. Data processing and analysis is described in the associated submitted manuscript: Harder, P., Helgason, W.D., Pomeroy, J.W. 2023. Measuring prairie snow water equivalent with combined UAV-borne gamma spectrometry and lidar. Submitted to The Cryosphere November 2023. https://creativecommons.org/licenses/by/4.0/
Global Water Futures (FRDR) Logo
Long-term meteorological and carbon, water and energy flux data from the Boreal Ecosystem Research and Monitoring Sites, Saskatchewan, Canada
Federated Research Data Repository / dépôt fédéré de données de recherche
Helgason, Warren; Johnson, Bruce; David, Cody; Barr, Alan G.; Black, Andrew — 2024-10-24 Long-term observations are presented here from the Boreal Ecosystem Research and Monitoring Sites (BERMS), a network of flux tower research sites located near the southern edge of the Boreal Plains Ecozone in central Saskatchewan, Canada. The four longest running sites, which represent the dominant vegetation types in the Boreal Plains Ecozone, include three mature forest stands of trembling aspen (Old Aspen; OA), black spruce (Old Black Spruce; OBS), and jack pine (Old Jack Pine; OJP), and a minerotrophic patterned fen (Fen). The data reported here include long-term records of a) meteorological variables, including air temperature and humidity, barometric pressure, wind speed, wind direction and precipitation; b) vertical profiles of soil temperature and soil volumetric water content; c) radiation flux densities, including net radiation, incoming and outgoing shortwave radiation, incoming and outgoing longwave radiation, and incoming and outgoing photosynthetically active radiation; d) the surface energy balance, including net radiation, soil heat flux, biomass heat storage flux, photosynthetic energy flux and eddy covariance measurements of latent and sensible heat flux densities; and e) eddy covariance measurements of net ecosystem production and its partition into gross ecosystem photosynthesis and ecosystem respiration. There are both gap-filled and non-gap-filled datasets included with this submission. Other variables collected from these sites, but are not included in the dataset, can be made available upon request (snow depth, snow temperature, bole temperature, water table depth, water table level). https://creativecommons.org/licenses/by/4.0/

Map search instructions

1.Turn on the map filter by clicking the “Limit by map area” toggle.
2.Move the map to display your area of interest. Holding the shift key and clicking to draw a box allows for zooming in on a specific area. Search results change as the map moves.
3.Access a record by clicking on an item in the search results or by clicking on a location pin and the linked record title.
Note: Clusters are intended to provide a visual preview of data location. Because there is a maximum of 50 records displayed on the map, they may not be a completely accurate reflection of the total number of search results.

(Source Repository: Global Water Futures (FRDR)) AND (Author: Helgason, Warren)

Limit by:

Clear all

to