Basal area - hardwood (BA_HWD) is an expression of hardwood site occupancy based on the cross-sectional area (m2 at breast-height) of merchantable stems on a per-hectare basis. Available here as a raster (GeoTIF) with a 20 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.  Basal area - hardwood (BA_HWD) is an expression of hardwood site occupancy based on the cross-sectional area (m2 at breast-height) of merchantable stems on a per-hectare basis. BA_HWD is available here as a color-mapped 16-bit unsigned integer raster grid in GeoTIFF format with a 20 m pixel resolution. An ArcGIS Pro layer file (*.lyrx) is supplied for viewing BA_HWD data in the following 5 m2/ha categories. Domain: [NULL, 0…90]. RANGE LABEL RED GREEN BLUE 0 <= BA_HWD < 3 0 NA NA NA 3 <= BA_HWD < 8 5 63 81 181 8 <= BA_HWD < 13 10 66 103 157 13 <= BA_HWD < 18 15 69 125 133 18 <= BA_HWD < 23 20 72 147 110 23 <= BA_HWD < 28 25 75 169 86 28 <= BA_HWD < 33 30 108 186 76 33 <= BA_HWD < 38 35 150 200 71 38 <= BA_HWD < 43 40 192 214 66 43 <= BA_HWD < 48 45 234 228 61 48 <= BA_HWD < 53 50 255 225 52 53 <= BA_HWD < 58 55 255 206 38 58 <= BA_HWD < 63 60 255 186 24 63 <= BA_HWD < 68 65 255 167 10 68 <= BA_HWD < 73 70 254 147 3 73 <= BA_HWD < 78 75 252 127 16 78 <= BA_HWD < 83 80 249 107 29 83 <= BA_HWD < 88 85 247 87 41 88 <= BA_HWD <= 90 90 244 67 54For more information, see the Forest Inventory Standard of the Saskatchewan Environmental Code, Forest Inventory Chapter.

The fish activity area data represents the consolidation of two fish data classes collected by the Ministry of Natural Resources. The data estimates locations used by fish for activities such as spawning and nursing young. Locations are represented as polygons. They may be related to a specific species or described more generally. There are additional sensitive features related to provincially tracked species and species at risk that are not available as part of the open data package. Sensitive features are subject to licensing and approvals and may be requested by contacting geospatial@ontario.ca.

The Ontario Trail Network (OTN) contains geospatial networks of trails in urban, rural and wilderness settings that are managed by a named organization for transportation, recreation, active living or tourism purposes. The OTN relies on data sharing partnerships with local trail organizations and municipal, provincial and federal governments for ongoing updates and maintenance. Trails in the OTN must be: * associated with a named trail organization * intended for free or paid public access * marked and maintained The OTN collection includes two data classes: * Ontario Trail Network segment derived * Ontario Trail Network access points __Ontario Trail Network segment derived__ This spatial dataset represents segments of trails in the OTN. Trail segments define a linear corridor through the natural or urban environment. The corridors may be single segments or form a looping system. The data includes characteristics about each trail, such as: * trail name * trail association * permitted use * description * length Examples of trail types include: * hiking or walking * cycling * cross-country skiing and snowshoeing * paddling and portage * equestrian * snowmobiling, all terrain vehicle and off-road motorcycle * barrier free (wheelchair accessible) * ice skating Some trail networks have official access points. You can find the location of these points in the OTN_ACCESS_POINT spatial dataset. __Ontario Trail Network access points__ This spatial dataset represents the main access points to a trail system that is part of the OTN. This layer should be used together with OTN Segment Derived. Access points can be spatially related to a trail network based on relative location to a trail segment. Not all trail networks will have official access points.

Fire maintained ecosystem restoration for the Rocky Mountain Forest District. The data was provided by MOFR/Interior Reforestation and compiled based on the various sources including VRI, BEC, TSR2 Algorithm 2003, etc.

Federal Reserve map (managed forest code 31) used in the Forest Management in Canada, 2020 story map. Federal Reserve Map (managed forest code 31) with lands identified using all Treasury Board of Canada Secretariat Federal Land Area  polygons greater than 10 ha in size not classified as “parks and recreation” and provincial data sources. The federal reserve map is used in the Story Map of Forest Management in Canada, 2020 (Aménagement des forêts au Canada, 2020) and includes the following tiled layer:Tile Layer of Federal Reserve Managed Forest Code 31: 2020

An interactive web application illustrating the locations of commercial fisheries, commercial fish species production (kg) for the 2016 calendar year. This interactive web application shows the locations of commercial fisheries and commercial fish species production (kg) in Manitoba, by community. It names the communities involved in the industry, shows the number of fishers by community and also shows the location of packing sheds across Manitoba. For each location, pop ups provides additional information, including the round weight (kg) by species for the 2016 calendar year. This application is populated by the web map: Manitoba Commercial Fishing Industry Map.

Data set includes the smaller areas of sensitivity (a standard radius around water intake points) and the larger areas of concern (determined by land, soil and water characteristics of the surrounding area).

Land cover classification image for the Aspen Parkland 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 2022, and the classification model was built with field data collected in 2020 - 2022. There are eight classes in total: native grassland, tame grassland, mixed/altered 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 eight (8) classes:  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.  3. Mixed/altered grassland This class represents a grassland with a mix of less than 75% native grass, sedge and forb species or less than 75% tame species. These are grassland areas that do not fit into either of the native or tame grassland definitions.  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 3 Mixed/altered grassland 199 215 158 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 73 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 91.2 94.5 0.93 Native grassland 74.8 73.1 0.74 Mixed grassland 44.7 44.1 0.44 Tame grassland 67.9 72.8 0.70 Water 94.8 91.3 0.93 Shrubs 61.2 51.1 0.56 Trees 89.7 94.6 0.92

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

Proposed Sheep Winter Range of the Kamloops TSA