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127 results for “Snow depth”
Snow depth mapping with an Unmanned Aerial Vehicles in heterogeneous mountain site (Izas Catchment, Pyrenees)
<p>Recent developments in unmanned aircraft vehicles (UAV) and Structure for Motion (SfM photogrammetry or simply SfM) algorithms have proved their worth for determining snow depth distribution. This dataset presents UAV and Terrestrial Laser Scanner (TLS) snow depth obsrevations obtained in complex alpine terrain in the Pyrenees. UAV observations have been acqired with a fixed-wing UAV working in RTK mode with an RGB camera. During the 2018-19 season, seven field campaigns (13 UAV flights) were undertaken covering 0.48 km2 . Several UAV observations were obtained under different light conditions and flight block configurations (altitude and image overlaps) in the same day with the aim if evaluating UAV observations when compared ti a well-established close range remote sensing technique (TLS).</p>
High-resolution snow depth prediction using Random Forest algorithm with topographic parameters
Open the record for dataset details and reuse information.
NOAA GML Brush Creek & Kettle Ponds Snow Depth Estimates for SPLASH
<p>An estimate of snow depth at Brush Creek (CBC) and Kettle Ponds (CKP). Precision to within 3 inches. Estimates are made via camera and manual identification of marks on a 7ft snow stake. Snow stakes were placed on both the north and south side of the solar radiation table, roughly 6 feet away. In the winter of 2023, the cameras were buried by snow at Kettle Ponds, this data was marked as "NaN" but may be assumed as being 6ft or greater. </p><p><strong>NOTE: Estimates are subjective and should only be used to supplement analysis. Please contact Logan Soldo (logan.soldo@noaa.gov) for more information before publishing with this data.</strong></p>
Data from: Photosynthetic and phenological responses of dwarf shrubs to the depth and properties of snow
Open the record for dataset details and reuse information.
Daily 4 km Gridded SWE and Snow Depth from Assimilated In-Situ and Modeled Data over the Conterminous US, Version 1
This data set provides daily 4 km snow water equivalent (SWE) and snow depth over the conterminous United States. It was developed at the University of Arizona (UA) under the support of the NASA MAP and SMAP Programs. The data were created by assimilating in-situ snow measurements from the National Resources Conservation Service's SNOTEL network and the National Weather Service's COOP network with modeled, gridded temperature and precipitation data from PRISM.
Snow Depth, Stratigraphy, and Temperature in Wrangell St Elias NP, Alaska, 2016-2018
This dataset includes data from late-March snow surveys and hourly digital camera images from two study areas within the Wrangell St Elias National Park, Alaska. These data comprise snow density, stratigraphy, and temperature profiles obtained by snow pits; and snow depth data obtained from transects between snow pits. Daily snow depths, adjacent to each pit, were derived from hourly camera images of snow stakes placed adjacent to each pit. These data were collected to constrain and validate a physically-based, spatially-distributed snow evolution model used to simulate snow conditions in Dall sheep habitat. The two study areas are both located within the Jacksina Park Unit (JPU). The first study area, surveyed in 2017, included the northern end of Jaeger Mesa and an area near Rambler mine in the North East of the JPU. The second study area, surveyed in 2018, was within the upper watershed of Pass Creek in the North of the JPU. The remote cameras operated from September 2016 to August 2017 on Jaeger Mesa/Rambler Mine and from September 2017 to July 2018 at Pass Creek.
Daily Snow Depth and SWE from GPS Signal-to-Noise Ratios, Version 1
This data set consists of daily snow depths and snow-water equivalents (SWEs) estimated from GPS signal-to-noise ratios (SNRs). Snow depth is determined by calculating the relative change of the effective multipath reflector height (i.e. the snow surface) with respect to the snow free surface. SWEs are determined using GPS snow depths and, when available, density observations from nearby SNOpack TELemetry (SNOTEL) stations. When a nearby SNOTEL station is not available, density is estimated using GPS snow depth and climate classes, which account for variables such as location and time of the year.
ABoVE: End of Season Snow Depth at CRREL sites near Fairbanks, Alaska, 2014-2019
This dataset provides 20,582 snow depth measurements collected at six sites near Fairbanks, Alaska, USA. Measurements were made during March or April from 2014-2019. The sites were located at or near Goldstream, Creamer's Field, APEX, the Permafrost Tunnel and Farmer's Loop. The US Army Corps of Engineers, Cold Regions Research and Engineering Laboratory (CRREL) owns and operates facilities at the Permafrost Tunnel and Farmer's Loop. The sites are suitable for manipulation experiments, installing permanent equipment, and establishing long-term measurements.
ABoVE: High Resolution Cloud-Free Snow Cover Extent and Snow Depth, Alaska, 2001-2017
This dataset provides estimates of maximum snow cover extent (SCE) and snow depth for each 8-day composite period from 2001 to 2017 at 1 km resolution across Alaska. The study area covers the majority land area of Alaska except for areas covered by perennial ice/snow or open water. A downscaling scheme was used in which Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2) global reanalysis 0.5 degree snow depth data were interpolated to a finer 1 km spatial grid. In the methods used, the downscaling scheme incorporated MODIS SCE (MOD10A2) to better account for the influence of local topography on the 1km snow distribution patterns. For MODIS cloud-contaminated pixels, persistent and patchy cloud cover conditions were improved by applying an elevation-based spatial filtering algorithm to predict snow occurrence. Cloud-free MODIS SCE data were then used to downscale MERRA-2 snow depth data. For each snow-covered 1 km pixel indicated by the MODIS data, the snow depth was estimated based on the snow depth of the neighboring MERRA-2 0.5 grid cell, with weights predicted using a spatial filter.
Canadian Meteorological Centre (CMC) Daily Snow Depth Analysis Data, Version 1
This data set consists of a Northern Hemisphere subset of the Canadian Meteorological Centre (CMC) operational global daily snow depth analysis. Data include daily analyzed snow depths, as well as monthly means and climatologies of snow depth and estimated snow water equivalent (SWE).
Maps of Vegetation, NDVI, Snow and Thaw Depths: North Slope, Alaska and NWT, Canada
This dataset includes vegetation cover maps, Normalized Difference Vegetation Index (NDVI) maps, snow depth and thaw depth data that were obtained as part of a biocomplexity project on the North Slope of Alaska, USA, and the Northwest Territories (NWT), Canada. In Alaska, seven sites are located along the Dalton Highway and in the Prudhoe Bay Oilfield area, forming a transect across the climate gradient of the North Slope. From South to North, the sites are Happy Valley, Sagwon (an acidic and nonacidic site), Franklin Bluffs, Deadhorse, West Dock and Howe Island. Four sites are in the NWT, forming a latitudinal gradient from South to North; the sites include Inuvik, Green Cabin, Mould Bay, and Isachsen.
CLPX-Ground: ISA Snow Depth Transects and Related Measurements, Version 2
This data set consists of snow depth data from nine study areas, within three larger-scale areas in northern Colorado (Fraser, North Park, and Rabbit Ears Meso-cell Study Areas (MSAs)). The study areas range from low-relief (flat topography) unforested areas with shallow snow covers, to high-relief (complex topography) densely forested areas with deep snow covers.
BOREAS HYD-03 Snow Depth Data: 1996
The BOREAS HYD-03 team collected several data sets related to the hydrology of forested areas. This data set contains measurements of snow depth, snow density in 3-cm intervals, an integrated snow pack density and snow water equivalent (SWE), and snow pack physical properties from snow pit evaluation taken in 1994 and 1996. The data were collected from several sites in both the SSA and the NSA. A variety of standard tools were used to measure the snowpack properties, including a meter stick (snow depth), a 100 cc snow density cutter, a dial stem thermometer and the Canadian snow sampler as used by HYD-04 to obtain a snow pack-integrated measure of SWE. This study was undertaken to predict spatial distributions of snow properties important to the hydrology, remote sensing signatures, and the transmissivity of gases through the snow.
ABoVE: Dall Sheep Track Sinking Depths, Snow Depth, Hardness, and Density, 2017
This dataset contains Dall sheep (Ovis dalli dalli) hoof sinking depths in snow tracks, and snow depth, hardness, and density measurements in snow pits adjacent to the tracks. Snow measurements were collected between March 19-22, 2017 at sites on Jaeger Mesa in the Wrangell Mountains (WRST), Alaska. Estimated sheep age classes and track site coordinates are also provided.
TVCSnow 2018-2019 tundra snow depth probe measurements
<p>Snow depth measurements were recorded as part of Environment and Climate Change Canada's 2018-2019 Trail Valley Creek Snow Experiment (TVCSnow 18/19). These snow depths were collected to evaluate coincident airborne and satellite radar measurements to better understand snow-radar interactions in a tundra environment. The snow depths were recorded 50 km north of the town of Inuvik, Northwest Territories. Three periods of measurement took place in November 2018, January 2019, and March 2019 in and around the Trail Valley Creek research station. The snow depth measurements were recorded with an automatic snow depth probe (magnaprobe).</p> <p> </p> <p>Open Government Licence - Canada<br> (https://open.canada.ca/en/open-government-licence-canada)</p>
Supplementary material to "SnowPappus v1.0, a blowing-snow model for large-scale applications of Crocus snow scheme" : Pleiades snow depth maps analysis
<p>This Folder contains :</p><p> - necessary codes to reprduce Fig. 5, 12 and 13 of the third version of the submitted manuscript SnowPappus v1.0, a blowing-snow model for large-scale applications of Crocus snow scheme"</p><p> - necessary data to run these codes, including extracts of simulation outputs</p><p> - A readme.txt which explains how to run everything</p><p> </p>
A daily in-situ dataset of air temperature, ground temperature, and snow depth dataset for Northern Hemisphere
<p><strong>A daily in-situ dataset of air temperature, ground temperature, and snow depth dataset for Northern Hemisphere</strong></p>
Historical Soviet Daily Snow Depth (HSDSD), 1881 - 1995, Version 2
The Historical Soviet Daily Snow Depth (HSDSD) product is based on observations from 284 World Meteorological Organization (WMO) stations throughout Russia and the former Soviet Union from 1881 through 1995. Other parameters include snow cover percent, snow characteristics, site characterization, and quality flags.
CryoSat-2 Sea Ice Freeboard, Thickness, and Snow Depth Quick Look, Version 1
This data set contains sea ice thickness and other derived geophysical parameters measured over the Arctic sea ice cover. The data are primarily based on ESA's CryoSat-2 Level-1B SAR/SarIn Baseline B data products for March 2014 and March 2015. Ancillary data include snow depth, snow density, sea ice concentration, sea ice freeboard, and sea ice roughness. This quick look product is experimental and designed to aid in seasonal sea ice forecasting and other time-sensitive projects. The data were collected as part of Operation IceBridge funded campaigns.Note: This data set is the Quick Look counterpart to the <a href="https://nsidc.org/data/RDEFT4">CryoSat-2 Level-4 Sea Ice Elevation, Freeboard, and Thickness</a> data set.
Estonian Mean Snow Depth and Duration (1891-1994), Version 1
This data set contains the number of days of snow cover in days per year, and three 10-day snow depth means per month in centimeters from stations across Estonia. The days of snow cover data extend from 1891 through 1994, while the snow depth means extend from 1891 through 1990. Some stations for some years have two data entries, one for a protected collection area, and one for an exposed collection area.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.