Layer that includes the known information on the american shad breeding areas in the St. Lawrence River and Estuary according to a literature review of documents produced between 1976 and 1997.Additional InformationAmerican shad's breeding areas were produced according to a literature review of the following documents:Blais, J.-P. et V. Legendre. 1976. La ouananiche, Salmo salar, du lac Tremblant, Québec. Québec, Ministère du Loisir, de la Chasse et de la Pêche, Direction régionale de Montréal, Rapp. tech. 06-11, 116 p.Boulet, M., J. Leclerc et P. Dumont. 1995. Programme triennal d'étude sur le suceur cuivré. Québec, Ministère de l'Environnement et de la Faune, Service de l'aménagement et de l'exploitation de la faune, Montréal, Rapp. d'étape, 61 p.Boulet, M., Y. Chagnon et J. Leclerc. 1996. Recherche et caractérisation des aires de fraye des suceurs cuivré et ballot au bief d'aval du barrage de Saint-Ours (rivière Richelieu) en 1992. Québec, Ministère de l'Environnement et de la Faune, Service de l'aménagement et de l'exploitation de la faune, Longueuil, Rapp. trav. 06-38, xi + 37 p.Dumont, P. et R. Fortin. 1977. Relations entre les niveaux d'eau printaniers et la reproduction du Grand Brochet du Haut-Richelieu et de la baie Missisquoi. Université du Québec à Montréal, Département des sciences biologiques, pour le Bureau international Champlain Richelieu, Comité d'impact sur l'environnement, x + 108 p.Dumont, P. et S. Desjardins. 1989. Lettre adressée à M. André Poulin du Département de géographie, Université de Sherbrooke, au sujet de la faune et les habitats de la portion aval de la rivière aux Brochets. Québec, Ministère du Loisir, de la Chasse et de la Pêche, Direction régionale de Montréal. Dumont, P., J. Leclerc et L. Bouthillier. 1989a. Données d'inventaire, baie Brazeau, rivière des Outaouais, été 1989. Québec, Ministère du Loisir, de la Chasse et de la Pêche, Service de l'aménagement et de l'exploitation de la faune, Montréal. [Données non publiées].Environnement Illimité inc. 1994. Centrale Les Cèdres - Nouvel aménagement. Avant-projet phase 2, études environnementales. Description du milieu biologique. Volumes 1 et 2. Rapport préparé pour la Vice-Présidence Environnement Hydro-Québec, Service production, réfection et localisation, 241 p. + annexes.Fournier, P. et L.-M. Soyez. 1988. Étude de l'utilisation faunique printanière du marais de Rosemère. Québec, Ministre du Loisir, de la Chasse et de la Pêche, Service de l'aménagement et de l'exploitation de la faune, Montréal, 13 p.Gagnon, M., Y. Ménard et J.-F. La Rue. 1993. Caractérisation et évaluation des habitats du poisson dans la zone de transition saline du Saint-Laurent. Rapp. tech. can. sci. halieut. aquat. 1920: viii + 104 p.Gendron, M. 1986. Rivière-des-Prairies. Aménagement d'un haut-fond, printemps 1986. Groupe de recherche SEEEQ ltée pour la Direction Environnement d'Hydro-Québec, 103 p.Gendron, M. 1987. Rivière-des-Prairies. Suivi de l'aménagement d'un haut-fond, printemps 1987. Le Groupe de recherche SEEEQ ltée pour la Direction Environnement d'Hydro-Québec, 60 p.Gendron, M. 1988. Rivière-des-Prairies. Suivi de l'aménagement du haut-fond, synthèse 1982-1988. Le Groupe de recherche SEEEQ ltée pour le Service de recherche en environnement et santé publique, Vice-Présidence Environnement, Hydro-Québec, 95 p.Guay, G. et M. Couillard. 1985. Étude de l'utilisation printannière et autonmale des rapides de Lachine par les poissons. Environnement Illimité inc. pour le Secrétariat Archipel, 167 pages + annexes.Laramée, P. 1983. La vie printanière dans les rapides de Lachine : Reproduction des poissons. Éco-Recherches inc. pour Vice-Présidence Environnement Hydro-Québec et le Secrétariat Archipel, 30 p. + 7 annexes. Leclerc, J. 1983. La montaison de l'Alose savoureuse dans la rivière des Mille Iles en 1983. Rapport réalisé par Bio-Conseil inc. pour le compte du Service des études hydrauliques et écologiques, Ministère de l'Environnement du Québec, 45 p.Letendre, M., B. Dumas et M. Beaudoin. 1990. Inventaire de la rivière des Prairies, au niveau de l'île de Pierre. Québec, Ministère du Loisir de la Chasse et de la Pêche, Service de l'aménagement et de l'exploitation de la faune, Montréal. [Travaux en cours].Provost, J., L. Verret et P. Dumont. 1984. L'Alose savoureuse au Québec : synthèse des connaissances biologiques et perspectives d'aménagement d'habitats. Canada, Ministère des Pêches et Océans, Direction de la recherche sur les pêches, Laboratoire de Québec, Rapport manuscrit canadien des sciences halieutiques et aquatiques no 1793, xi + 114 p.Thérrien, J., H. Marquis, G Shooner et P. Bérubé.1991. Caractérisation des habitats recherchés pour la fraie des principales espèces de poisson du fleuve Saint-Laurent (Cornwall à Montmagny). Étude réalisée pas le Groupe Environnement Shooner inc. Pour le compte du Ministère des Pêches et des Océans du Canada. 16 p.

This dataset provides polygon extents of the runway surfaces at airports, aerodromes and airstrips across the territory.Distributed from [GeoYukon](https://yukon.ca/geoyukon) by the [Government of Yukon](https://yukon.ca/maps) . Discover more digital map data and interactive maps from Yukon's digital map data collection.For more information: [geomatics.help@yukon.ca](mailto:geomatics.help@yukon.ca)

This dataset is a locational record of the meteorological input files publically available on Saskatchewan GeoHub that can be used with the Environmental Protection Agency approved Regulatory Model (AERMOD). Each file represents the meteorology over an area of the province while minimizing the influences of local terrain on air flow. Additional attribute information for each location includes coordinates and a link to download the AERMOD data as a zip file.The Air Quality Section of the Ministry of Environment uses air quality modelling to simulate how air pollutants disperse in the ambient atmosphere in order to help manage the air quality in the province. The models are used to estimate the impact of air pollutants emitted from emission sources, and are typically employed to determine whether existing or new proposed industrial facilities are or will be in compliance with the ambient air quality standards outlined in Table 20 of the province's Environmental Code, June 1, 2015 under The Environmental Management and Protection Act, 2010.  The information needed to run dispersion models consists primarily of emissions and meteorological data. Five years (2012-2016) of preprocessed meteorological datasets in an AERMOD ready format is publicly available. This file is contained in the downloadable zipped file. The zipped file contains five files: the SFC and PFL files are the AERMOD ready files required to run AERMOD (i.e., data, sensible heat flux, frictional velocity, potential temperature gradient, vertical velocity, mixing height, monin-obukhov length, surface roughness, Bowen ratio, albedo, scalar wind speed, wind direction, ambient temperature, precipitation, precipitation rate, relative humidity, surface pressure, and total cloud amounts); the DAT file contains the land use information (i.e., Surface roughness, Bowen ratio and albedo) chosen for each month in the SFC file; the KMZ file contains the wind rose for that location which can be used on Google Earth; and the PNG file contains various graphs of monthly or diurnal meteorological distribution (i.e., temperature, wind speed, daytime mixing heights and sensible heat flux, and stability) which can be used to help determine if that location is representative of the area proposed for modelling.  Please note: Since this data is newly developed, it is possible there may be issues with the data as it gets used in more applications. Ongoing changes, edits and updates may be made by the Air Quality Section of the Ministry of Environment. Is is recommended for any future modelling to download the latest version of the input files and not archive any input files on your own server for future use, unless this notification no longer exists. If there are any issues discovered with data in the zipped file, please contact Dennis Fudge at dennis.fudge@gov.sk.ca or at 306-519-7105. Your support will be greatly appreciated.  There may be times you feel that the input files are not representative of the proposed modelling domain due to the surrounding features (i.e., forest/agricultural or rural/urban) being different than those used to generate the input files. If that is the case, the modeler can generate the input modelling files themselves. The relevant files to generate these input files are available upon request. Please contact Dennis Fudge at dennis.fudge@gov.sk.ca or at 306-519-7105. 

Location of flight lines of Yukon aerial photographs. Data was produced from heads up digitization of paper flight line index maps .Distributed from [GeoYukon](https://yukon.ca/geoyukon) by the [Government of Yukon](https://yukon.ca/maps) . Discover more digital map data and interactive maps from Yukon's digital map data collection.For more information: [geomatics.help@yukon.ca](mailto:geomatics.help@yukon.ca)

Location of centre points of Yukon aerial photographs. Data was produced from heads up digitization of paper flightline index maps.Distributed from [GeoYukon](https://yukon.ca/en/geoyukon) by the Government of Yukon. Discover more digital map data and interactive maps from Yukon's digital map data collection.For more information: [geomatics.help@yukon.ca](mailto:geomatics.help@yukon.ca)

This product is a 1km resolution composite over the North American domain, which, for areas with radar coverage, can distinguish the occurrence, type and intensity of precipitation. This product uses two 1km radar composites as input: a North American composite cleaned using dual polarization technology, another particle classification radar composite (precipitation) and surface temperature from the High Resolution Deterministic Prediction System (HRDPS). The SPTP product is produced every 6 minutes.

McElhanney Consulting Services Ltd (MCSL) has performed a LiDAR and Imagery survey in southern Saskatchewan. The purpose was to generate DEMs for hydraulic modeling of floodplain, digital terrain maps, and other products for portions of the Swift Current Creek valley and other miscellaneous tributaries and related water course valleys in and around the City of Swift Current.The acquisition was completed between the 16th and 25th of October, 2009. The survey consisted of approximately 790 square kilometers of coverage. While collecting the LiDAR data, we also acquired aerial photo in RGB and NIR modes consisting of 1649 frames each.In addition to the main area of interest, McElhanney has acquired some LiDAR and photo of low lying areas adjacent to the project area. This additional area was acquired on speculation that the data may be required in the future.The 3Dimensional laser returns (point cloud) were classified using Microstation (v8), Terrascan and TerraModeler. A series of algorithms based on topography were created to separate laser returns that hit the ground from the ones that hit objects above the ground.Steps taken are:Classified LiDAR surface as Bare earth, Classified other features as non-bare earth or default, Formatted to ASPRS .LAS V1.1 (Class 1 - Default (non-bare earth), Class 2 – Ground points (bare earth)), 239 tiles each 2km x2km generated for LiDAR data, File prefix FF – Classified (Non-Bare Earth and Bare Earth), File Prefix BE – Bare Earth only, Bare Earth Model Key Point (MKPts) surface files are thinned Bare earth LiDAR points. MKPts files generate a virtually identical surface without the large file size, MKPts file format is ASCII (Easting Northing Z-elevation) xyz and LAS format.

Land cover classification image for the Cypress Upland ecoregion of Saskatchewan with a spatial resolution of 10m. The goal of this land cover classification was to distinguish native from tame grasslands. The classification was based on Sentinel-1 and Sentinel-2 imagery using machine learning analysis in the Google Earth Engine platform. The classification was conducted on imagery acquired in 2023, and the classification model was built with field data collected in 2023. There are seven classes in total: native grassland, tame grassland, cropland, shrubs, trees, water, and urban area.Download: here The Prairie Landscape Inventory (PLI) aims to develop improved methods of assessing land cover and land use for conservation. Native grassland has historically been one of the hardest to map at-risk ecosystems because of the challenges in distinguishing native grassland from tame grassland land cover using remotely sensed imagery. This classification distinguishes native grassland from tame grassland and will provide valuable information for habitat suitability for native grassland species, identifying high biodiversity potential and invasion risk potential.   The classification map has seven (7) classes. The mixed grassland class included in the PLI land cover classification for other prairie ecoregions was not modelled in the Cypress Upland. 1. Cropland This class represents all cultivated areas with crop commodities, including corn, pulse, soybeans, canola, grains, and summer-fallow. 2. Native grassland This class represents the native grassland areas that are composed of at least 75% native grass, sedge and forb species, such as the needle grasses and wheatgrasses along with June grass and blue grama grass. Unbroken grassland that is invaded by species like Kentucky bluegrass, crested wheatgrass or smooth brome, such that native cover is less than 75%, is not considered native for the purpose of this project.  4. Tame grassland This class represents the tame grassland areas that are composed of at least 75% seeded or planted species with introduced grasses and forb species such as crested wheatgrass, smooth brome, Kentucky bluegrass, alfalfa, and sweet clover. 5. Water This class represents permanent water locations such as lakes and rivers. 6. Shrubs This class represents the sites dominated by woody vegetation of relatively low height (generally +/-2 meters) with shrub canopy typically >20% of total vegetation cover. 7. Trees This class represents the coniferous/deciduous trees, mixed-wood area, and other trees >2 meters height with tree canopy typically >20% of total vegetation cover. 9. Urban area This class represents both urban municipalities and buffered roads. Urban municipalities was used to mask the urban/developed area class of the Annual Crop Inventory 2021 (Agriculture Agri-Food Canada). Colour Classes: Value Label Red Green Blue 1 Cropland 255 255 190 2 Native grassland 168 168 0 4 Tame grassland 245 202 122 5 Water 190 232 255 6 Shrubs 205 102 153 7 Trees 66 128 53 9 Urban area 128 128 128 Accuracy metrics This model has an overall accuracy of 92 per cent. The table below summarizes the user’s accuracy, producer’s accuracy, and F1-score of the model on the validation dataset. Class User’s accuracy (%) Producer’s accuracy (%) F1-score Cropland 96 96 0.96 Native grassland 90 93 0.92 Tame grassland 93 71 0.82 Water 100 100 1.00 Shrubs 77 88 0.83 Trees 96 996 0.96

Digital terrain model (DTMRAW) is an expression of the bare earth orthometric elevation (m). Available here as a DTM raster (GeoTIF) with a 5 m pixel resolution.Download: Here The Saskatchewan Ministry of Environment, Forest Service Branch, has developed a forest resource inventory (FRI) which meets a variety of strategic and operational planning information needs for the boreal plains. Such needs include information on the general land cover, terrain, and growing stock (height, diameter, basal area, timber volume and stem density) within the provincial forest and adjacent forest fringe. This inventory provides spatially explicit information as 10 m or 20 m raster grids and as vectors polygons for relatively homogeneous forest stands or naturally non-forested areas with a 0.5 ha minimum area and a 2.0 ha median area.    Digital terrain model (DTMRAW) is an expression of the bare earth orthometric elevation (m). DTMRAW is available here as a color-mapped 16-bit unsigned integer raster grid in GeoTIFF format with a 5 m pixel resolution. An ArcGIS Pro layer file (*.lyrx) is supplied for viewing DTMRAW data in the following 50 m elevation intervals. A 32-bit floating point raster version is available upon request.    Domain: [NULL, 200…1500].    RANGE LABEL RED GREEN BLUE 200 <= DTMRAW < 225 200 27 94 32 225 <= DTMRAW < 275 250 51 113 51 275 <= DTMRAW < 325 300 76 131 70 325 <= DTMRAW < 375 350 100 150 89 375 <= DTMRAW < 425 400 124 169 108 425 <= DTMRAW < 475 450 148 188 127 475 <= DTMRAW < 525 500 173 206 146 525 <= DTMRAW < 575 550 197 225 165 575 <= DTMRAW < 625 600 226 232 127 625 <= DTMRAW < 675 650 255 238 88 675 <= DTMRAW < 725 700 255 203 63 725 <= DTMRAW < 775 750 255 167 38 775 <= DTMRAW < 825 800 188 126 55 825 <= DTMRAW < 875 850 121 85 72 For more information, see the Forest Inventory Standard of the Saskatchewan Environmental Code, Forest Inventory Chapter. 

The 1 cm resolution digital surface model (DSM) was created from unmanned aerial vehicle (UAV) imagery acquired from a single day survey, July 28th 2016, in Cambridge Bay, Nunavut. Five control points taken from a Global Differential Positioning System were positioned in the corners and the center of the vegetation survey. The DSM covering 525m2 was produced by Canada Centre for Remote Sensing /Canada Centre for Mapping and Earth Observation. The UAV survey was completed in collaboration with the Canadian High Arctic Research Station (CHARS) for northern vegetation monitoring research. For more information, refer to our current Arctic vegetation research: Fraser et al; "UAV photogrammetry for mapping vegetation in the low-Arctic" Arctic Science, 2016, 2(3): 79-102. http://www.nrcresearchpress.com/doi/abs/10.1139/AS-2016-0008