Ski Resorts is a point dataset identifying the location of ski resorts in British Columbia.

Point feature layer showing the locations of winter trail and recreation areas in Manitoba's provincial parks.Point feature layer showing the locations of winter trail and recreation areas in Manitoba's provincial parks.  This layer is utilized in the interactive map Manitoba Parks - Winter Activity Trails Map and the web app Manitoba Parks - Winter Trails and Recreation Areas. The dataset includes the following fields (Alias (Name): Description) Park (Park): Name of the provincial park where the trail or recreation area is located Feature (Feature): Name of the trail or recreation area Activity (Activity): Contains a list of activities designated for the trail Length (Length): Length of the trail in kilometres Groom Date (Groom_Date): Date of the most recent grooming of the trail Rating (Rating): An overall rating of the trail or recreation area given the current conditions. (e.g., Excellent, Good, Fair, Poor, Closed, or Unknown) Trail Condition (Trail_Condition): This field contains a description of the current conditions of the trail or recreation area Additional Remarks (Additional_Remarks): Contains any other related information about the trail or recreation area PDF Link (PDF_Link): Contains a url link to a pdf map or website Ski (Ski): Indicates whether the activity is allowed and provides a way to filter the map features Skijor (Skijor): Indicates whether the activity is allowed and provides a way to filter the map features Walk (Walk): Indicates whether the activity is allowed and provides a way to filter the map features Skate Ski (Skate_Ski): Indicates whether the activity is allowed and provides a way to filter the map features Snowshoe (Snowshoe): Indicates whether the activity is allowed and provides a way to filter the map features Toboggan (Toboggan): Indicates whether the activity is allowed and provides a way to filter the map features Dog Sled (Dog_Sled): Indicates whether the activity is allowed and provides a way to filter the map features For more information about winter activities, visit the Manitoba Parks website.

This hexagonal polygon dataset identifies potential suitable foraging habitat for Northern Goshawk (NOGO) within the Cariboo Natural Resource Region.

Polyline feature layer of winter trails in Manitoba provincial parks.This feature layer contains polylines showing locations of winter trails in Manitoba provincial parks. Winter trails are those trails designated for certain winter activities, such as cross-country skiing, skijoring, skate-skiing, fat biking, and dog sledding. Most of these trails are groomed by Manitoba Parks staff throughout the season. This layer is used in the interactive map Manitoba Parks - Winter Activity Trails Map and the web app Manitoba Parks - Winter Trails and Recreation Areas. The dataset includes the following fields (Alias (Name): Description) Trail Name (Trail_Name): Name of the trail Park Name (Park_Name): Name of the provincial park where the trail is located Winter Use (Winter_Use): Indicates whether or not the trail is designated for winter use (Note: All features in this layer have a value of 'Yes') For more information about winter activities, visit the Manitoba Parks website.

1:50,000 habitat mapping for northern caribou in the Itcha and Ilgachuz Mtn. Areas, circa 1986.

Point layer of winter activities proposed in the Recreation brochure, on the territory of the city of Shawinigan.! [Shawinigan logo] (https://jmap.shawinigan.ca/doc/photos/LogoShawinigan.jpg)**Collection method** Scanning from orthophotography**Attributes*** `objective` (`OID`): * `place` (`String`): Location* `services` (`String`): Services* `fee` (`String`): Fresh* `infos_sup` (`String`): Additional information* `url` (`String`): URL* `tel` (`String`): Phone* `address` (`String`): Address* `photo` (`String`): Picture* `velo` (`String`): Bicycle* `ski_alpin` (`String`): Alpine skiing* `racquets` (`String`): Rackets* `ski_fond` (`String`): Cross-country skiing* `Slide` (`String`): Slides* `curling` (`String`): Curling* `Luge` (`String`): Sledge* `trail_icer` (`String`): Ice trail* `scooter` (`String`): Scooter* `skating rink` (`String`): Skating rink* `canin` (`String`): Dog park* `Walk` (`String`): MarketFor more information, consult the metadata on the Isogeo catalog (OpenCatalog link).**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

This hexagonal polygon dataset identifies potential suitable nesting habitat for Northern Goshawk (NOGO) within the Cariboo Natural Resource Region.

Web app showing locations and current conditions of trails and recreation areas designated for winter use in Manitoba provincial parks.This is a web app showing locations and current conditions of trails and recreation areas designated for winter use in Manitoba provincial parks. The current conditions of these features can be found in the pop-up information for each location, along with a list of designated activities for the feature. Activities include walking, skiing, skate skiing, skijoring, dog sledding, ice skating, fat biking, tobogganing, snowshoeing, and jam-pail curling. The app includes a filter to narrow the results by activity. This app uses the interactive map Manitoba Parks - Winter Activity Trails Map, and the layers Manitoba Parks - Winter Trails and Recreation Areas and Manitoba Parks - Winter Recreation Trails. For more information on winter activities, visit the Manitoba Parks website.

This layer of information shows all the winter trails offered in establishments managed by Sépaq.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

This dataset provides a Canada-wide map of vegetation height and the delineation of the northern forest limit. It is developed within the framework of Canada’s National Terrestrial Ecosystem Monitoring System (NTEMS). Vegetation height estimates were derived from ICESat-2 LiDAR observations, integrated with Landsat time series and topographic variables to model spatial patterns. The northern forest limit represents the transition between boreal forest and tundra, an ecologically significant zone for monitoring climate change impacts and biodiversity. Vegetation height was modeled for six time-periods including 1985-1995, 1990-2000, 1995-2005, 2000-2010, 2005-2015 and 2010-2021. Predictions for each time period represent the median conditions for that period. Predictions of height and the probability of canopy presence were generated using Random Forests models trained on spaceborne-lidar data collected by ICESat-2 from 2019-2021 and overlapping Landsat satellite imagery from 2010-2021. These Random Forests models were then applied to the entire archive of Landsat imagery, representing a period of ~35 years. This dataset provides spatially explicit prediction of vegetation height (m) along the Canadian northern forest limit at 30 m spatial resolution. Pixels with a low (< 50 %) probability of containing a vegetation canopy have been assigned a height of 0 m. The science and methods for this dataset were the result of a collaboration between the Canadian Forest Service of Natural Resources Canada, partnered with the Integrated Remote Sensing Studio (IRSS) in the Faculty of Forestry at the University of British Columbia. When using this data, please cite: Travers-Smith, H., Coops, N. C., Mulverhill, C., Wulder, M. A., Ignace, D., Lantz, T. C. (2024). Mapping vegetation height and identifying the northern forest limit across Canada using ICESat-2, Landsat time series and topographic data. Remote Sensing of Environment, 305, 114097. https://doi.org/10.1016/j.rse.2024.114097 (Travers-Smith et al. 2024). Additional details outlining application of the model to the time-series of Landsat data can be found here: Travers-Smith, H., Coops, N., Mulverhill, C., Wulder, M. A., Lantz, T. C., Ignace, D. (2025). Satellite observations reveal stable forest limits and shrub expansion across the Canadian forest-tundra ecotone. Environmental Research Letters, 20(10). https://doi.org/10.1088/1748-9326/adfc7f (Travers-Smith et al. 2025).