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We have found 30 datasets for the keyword " grhq-hr". You can continue exploring the search results in the list below.
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30 Datasets, Page 1 of 3
Geobase of the Quebec hydrographic network at high resolution (GRHQ-HR)
Please note that a web service is currently under development and will be launched in the fall of 2026. Stay on the lookout!## #Avertissement :###### #Le broadcaster cannot guarantee the accuracy, precision, or completeness of the data nor can it be held responsible for the conclusions that arise from their use. This data has no legal value. ####The Geobase of the Quebec Hydrographic Network at High Resolution (GRHQ-HR) offers an up-to-date representation of the hydrographic network with very high precision (scale of 1/2,000). This repository, produced from lidar data, is offered by hydrographic division unit (UDH). The deployment of this geobase is carried out progressively by levels of completeness (NC). Ultimately, it will cover the territory of southern Quebec. During the deployment phase of the repository, [the Quebec Hydrographic Network Geobase (GRHQ)] (https://www.donneesquebec.ca/recherche/fr/dataset/grhq), the GRHQ-HR as well as [potential flow beds] (https://www.donneesquebec.ca/recherche/dataset/lits-d-ecoulements-potentiels-issus-du-lidar) from the lidar will be simultaneously available on Data Quebec for this portion of the territory.The GRHQ-HR includes a 3D linear geometric network, which represents the continuity and direction of flow in all types of aquatic entities (streams, lakes, wetlands, etc.). This network is created by modeling potential flow beds and completed by central flow lines (simplified representation of hydrographic surfaces in central lines). This geobase is part of a strategy to update the cartographic map of Quebec's hydrography. It was carried out in partnership with the Ministry of the Environment, the Fight against Climate Change, Wildlife and Parks (MELCCFP). # #Caractéristiques UDH completion levels##Each level of completeness characterizes the level of work, editing, validation, and descriptive content of the datasets. Thematic and toponymic data will enhance the datasets. ### #NC -1 (primary geometric network) ####* Potential and filamentary flow beds derived from hydrographic, oriented, and topological surfaces.* Priority level defined (allows network analyses).* Presence of certain basic attributes (sustainability, network connection, accumulation of flows, Strahler and Horton orders, distance from upstream, distance from downstream).* Linear reference system (road numbers, vertex M coordinates).* Hydrographic surfaces of the GRHQ on a scale of 1/20,000 (2D).* Presence of some toponyms as an attribute.* Hydrocoherent digital terrain models (GeoTIFF).* Flow accumulation matrices (GeoTIFF).* Flow direction matrices (GeoTIFF).### #NC -2 (enhanced geometric network) ####* NC-1 features.* Update of hydrographic surfaces by photogrammetry.* Correction of errors in the path of potential flow beds and update of downstream filamentaries.* Partial addition of thematic hydrographic data (dams, falls, reefs, islands, wetlands, rapids).* Lidar survey date index.* Topological nesting of matrices.* Update of hydrocoherent numerical terrain models.* Update of flow direction matrices.* Update of flow accumulation matrices.### #NC -3 (thematic bonus) ####* Characteristics of the NC-2.* Hydrographic themes completed (breakwaters, quays).* Addition of toponyms.### #NC -4 (improvement of toponymic content) ####* NC-3 features.* Continuity of toponymic data on geometries.* Addition of named entities.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
Hydrocoherent numerical terrain models at the regional scale
### #Des hydrocoherent numerical terrain models (MNT-HC) are also offered south of the 52nd parallel. They are accessible via the [High Resolution Quebec Hydrographic Network Geobase (GRHQ-HR)] (https://www.donneesquebec.ca/recherche/dataset/geobase-du-reseau-hydrographique-du-quebec-a-haute-resolution-grhq-hr) These hydrocoherent numerical terrain models (DTM — HC) offer a regional numerical representation of Quebec relief based on altimetric (altitude) and planimetric (rectangular or geographic) data. They are the result of a collaboration between the Ministry of Natural Resources and Forests (MRNF) and Natural Resources Canada (NRCan) within the framework of the Agreement to produce an up-to-date digital map of northern Quebec and the creation of the product “National Hydro Network (RHN)” for the territory of Quebec.When integrated into a geographic information system, these models allow the implementation of multiple types of spatial analyses such as natural risks, landscape analysis, infrastructure implementation, etc.Hydrocoherent MNTs are obtained as a result of hypsometric and hydrographic data processing that uses the concept of hydrocoherence, which consists in interpolating altimetric values by ensuring a connected drainage network and an accurate representation of ridges and watercourses. The oriented RHN filament makes it possible to grade lakes and to control the altimetric descent of watercourses. The final product is a quality portrait of relief on a scale of 1/50,000. DMTs provide altitude values that are based on a grid with a resolution of 0.324 arcseconds in geographic coordinates, which corresponds to a resolution of about 10 meters in the field.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
Seasonal Movements and Diving of Ringed Seals, Pusa hispida, in the Western Canadian Arctic, 1999 – 2001 and 2010 – 2011
This record contains two datasets: 1. Raw unfiltered geographic coordinates and accuracy estimates of ringed seals tagged in the Western Canadian Arctic and 2. The location estimate from state-space models using a 12-hr time step. In total, 17 ringed seals were captured, measured, weighed, and tagged with satellite-linked transmitters (SDR-10, SDR-16, SPLASH) in June and July of 1999, 2000, and 2010. The tags, manufactured by Wildlife Computers Ltd. (Redmond, Washington, USA), sent data to polar orbiting satellites. Data were then retrieved via the Argos system (Harris et al., 1990). Tags collected and relayed information on movement (geographic positions) and diving data of the instrumented animals.
Growing Degree Days
Growing degree days (GDDs) are used to estimate the growth and development of plants and insects during the growing season. Growing Degree Day are computed by subtracting a base value temperature from the mean daily temperature and are assigned a value of zero if negative. Base temperatures are a point below which development does not occur for the organism in question. Growing Degree Day products are created for base 0, 5, 10 and 15 degrees Celsius.GDD values are only accumulated during the Growing Season, April 1 through October 31.
Maximum Temperature (°C)
Maximum Temperature represents the highest recorded temperature value (°C) at each location for a given time period. Time periods include the previous 24 hours and the previous 7 days from the available date where a climate day starts at 0600UTC.
Ministry of Transportation (MOT) Highway Reference Points (HRP)
Highway Reference Point is a visibly recognizable feature used to describe and identify a point on the Highway (i.e., a reference point abstracted on the Highway and defined by a physical landmark such as an intersection). HRP Landmarks are used in order to provide reference points relating to inventory item data
FADM - Mountain Pine Beetle Salvage Area
Area delineating the Mountain Pine Beetle Salvage area
Line P Climatology (1956-2012)
Climatological monthly-mean temperature and salinity data were computed for each of the 27 Line P stations (https://www.dfo-mpo.gc.ca/science/data-donnees/line-p/index-eng.html). For any particular station, data were accepted as belonging to that station if the location was within 10 km of the intended station (or 24km at Ocean Station Papa, P26). Data were binned by month/year over all available data for each station up to and including 2012. Hence the time interval that the mean state was computed from starts between 1956 and 1960 and ends at the end of 2012. Standard deviations were computed for each month independently and at each 5-m depth bin and were estimated as the variability between different years for the month in question.
Solar Resource, NSRDB PSM Direct Normal Irradiance (DNI) - North American Cooperation on Energy Information
Average of the hourly Direct Normal Irradiance (DNI) over 17 years (1998-2014). Data extracted from the National Solar Radiation Database (NSRDB) developed using the Physical Solar Model (PSM) by National Renewable Energy Laboratory ("NREL"), Alliance for Sustainable Energy, LLC, U.S. Department of Energy ("DOE").The current version of the National Solar Radiation Database (NSRDB) (v2.0.1) was developed using the Physical Solar Model (PSM), and offers users the solar resource datasets from 1998 to 2014). The NSRDB comprises 30-minute solar and meteorological data for approximately 2 million 0.038-degree latitude by 0.038-degree longitude surface pixels (nominally 4 km2). The area covered is bordered by longitudes 25° W on the east and 175° W on the west, and by latitudes -20° S on the south and 60° N on the north. The solar radiation values represent the resource available to solar energy systems. The AVHRR Pathfinder Atmospheres-Extended (PATMOS-x) model uses half-hourly radiance images in visible and infrared channels from the GOES series of geostationary weather satellites, a climatological albedo database and mixing ratio, temperature and pressure profiles from Modern Era-Retrospective Analysis (MERRA) to generate cloud masking and cloud properties. Cloud properties generated using PATMOS-x are used in fast radiative transfer models along with aerosol optical depth (AOD) and precipitable water vapor (PWV) from ancillary sources to estimate Direct Normal Irradiance (DNI) and Global Horizontal Irradiance (GHI). A daily AOD is retrieved by combining information from the MODIS and MISR satellites and ground-based AERONET stations. Water vapor and other inputs are obtained from MERRA. For clear sky scenes the direct normal irradiance (DNI) and GHI are computed using the REST2 radiative transfer model. For cloud scenes identified by the cloud mask, Fast All-sky Radiation Model for Solar applications (FARMS) is used to compute the GHI. The DNI for cloud scenes is then computed using the DISC model. The data in this layer is an average of the hourly GHI over 17 years (1998-2014). NOTE: The Geographical Information System (GIS) data and maps for solar resources for Global Horizontal Irradiance (GHI) and Direct Normal Irradiance (DNI) were developed by the U.S. National Renewable Energy Laboratory (NREL) and provided for Canada as an estimate. At present, neither the NREL data, nor the Physical Solar Model (PSM) on which the NREL data is based, have been either assessed or validated for the particular Canadian weather applications. A Canadian GHI map developed by the department of Natural Resources Canada (NRCan) is based on the State University of New York (SUNY) model and has been assessed and validated for the particular Canadian weather applications. The Canadian GHI map is available at http://atlas.gc.ca/cerp-rpep/en/.
Minimum Temperature (°C)
Minimum Temperature represents the lowest recorded temperature value (°C) at each location for a given time period. Time periods include the previous 24 hours and the previous 7 days from the available date where a climate day starts at 0600UTC.
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