Represents the gross area boundary within which Saskatchewan Crown resource lands are designated as provincial forests.For the entire Canwood, Nisbet, Fort a la Corne, Torch River, and Porcupine Provincial Forests, and the southern portion of the Northern Provincial Forest, boundaries follow the textual descriptions found in The Forest Resources Management Regulations, F-19.1 Reg 1, amended June 2020. For the northern, eastern and western portions of the Northern Provincial Forest, boundaries were sourced from the SaskGIS Provincial Boundary data set (ADMINISTRATIVE.provincial_boundary) produced by Information Services Corporation. This data set depicts the provincial boundary of the province of Saskatchewan as reflected in the respective jurisdictional boundary acts, and is kept current on a monthly basis. The version used here has an effective date of 31 May 2020. Crown resource lands contained within these boundaries are designated as provincial forest. Certain lands have been deemed to be withdrawn from the provincial forest pursuant to subsection 12(4) of the Act. The Forest Resources Management Act The Forest Resources Management Regulations

Ontario's Crown forest is divided into geographic planning areas, known as forest management units. Most of these units are managed by individual forest companies under a Sustainable Forest License. A forest management unit is identified by an assigned official name (e.g., Black Spruce Forest) and a unique numeric code. Before any forestry activities can take place in a management unit, there must be an approved forest management plan in place for each management unit. Instructions for downloading this dataset: This product requires the use of geographic information system (GIS) software.

The spatial record for all the province's geographic areas affected by provincial level, area-specific land use policy. This layer may contain geometry from the: * provincial parks-regulated layer * conservation reserves-regulated layer * natural heritage values area layer *  wilderness areas layer * crown land MNR acquisitions layer * crown land MNR unpatented layer * CLUPA geometry (enhanced management areas and general use areas) layer Not to be used as a source of protected areas (provincial park, conservation reserve, etc.), crown land or private land boundaries. Official GEO title: CLUPA Provincial

This dataset contains spatial and attribute information for local and regional greenspaces in British Columbia. Local and regional greenspaces are municipal or regional district lands designated by local government agencies and managed for public enjoyment, ecosystem or wildlife values. Spatial boundaries were sourced from municipal and regional district web sites, which in some cases provide datasets under Open Government Licence, and in other cases, publicize parks and greenspaces on web maps or pdf maps. Boundaries were edge-matched to the ParcelMap BC cadastre. This spatial layer contains multipart polygons.

The raster maps depict a suite of forest attributes in 2001* and 2011 at 250 m by 250 m spatial resolution. The maps were produced using the k nearest neighbours method applied to MODIS imagery and trained from National Forest Inventory photo plot data. For detailed information about map production methods please refer to Beaudoin et al. (2018) "Tracking forest attributes across Canada between 2001 and 2011 using the k nearest neighbours mapping approach applied to MODIS imagery." Canadian Journal of Forest Research 48, 85-93. https://cfs.nrcan.gc.ca/publications?id=38979 The map datasets may be downloaded from https://nfi.nfis.org/downloads/nfi_knn2011.zip or https://open.canada.ca/data/en/dataset/ec9e2659-1c29-4ddb-87a2-6aced147a990 * Note: the forest composition (leading tree genus) map depicts forest attributes in 2001.How can this data be used?The resolution and accuracy of these map products are best suited for strategic-level forest reporting and informing policy and decision making at regional to national scales. As these maps also offer a coherent set of quantitative values for a large suite of forest attributes, they can be used as baseline information for modelling and in calculations such as merchantable forest volume or percentage of tree species. It is also possible to overlay these maps with other maps produced on the same pixel grid to make assessments of disturbance impacts, such as fire and harvests.

The Crown Land Trails dataset is a collection of linear features representing the location of trails on Crown land administered under the Public Lands Act, Provincial Parks Act, Wilderness Areas, Ecological Reserves, Natural Areas, Heritage Rangelands Act and Willmore Wilderness Parks Act in Alberta. Please note that this dataset supersedes the Glenbow Ranch Provincial Park Trails and Fish Creek Trails datasets. The dataset also includes provincial trails designated under the Trails Act and established as provincial trails under the Public Lands Act, through Ministerial Order. These provincial trails include the trail tread (the surface on which people travel) as well as a boundary which is minimum 10m either side of the centerline of the trail tread. The boundary is defined in the Trail Designation: Ministerial Order. This boundary is to ensure associated structures are captured within the trail boundary, such as signs, parking areas, and warming shelters and ensure the safety of people using the trail system. If any discrepancy occurs between the Alberta Public Land Use Zone (PLUZ) maps and data the maps shall take precedence. For provincial trails, Public Land Use Zone maps have not been updated to reflect provincial trails. Users must adhere to the signs and notices for the applicable trail.

In celebration of the tremendous diversity of tree species that tell the story of our culture and history, the NCC released in September 2020 a compilation of close to 170 remarkable trees across Canada’s Capital region entitled A Living Legacy: Remarkable Trees of Canada’s Capital. An interactive map and downloadable book are available for free on the NCC’s website and will allow the public to discover distinctive features of these trees, revealing a story of the beauty of our natural heritage through the rich diversity of species thriving within Canada’s Capital. This compilation features trees according to their commonalities, which can include their physical relationship with the land, the fact that they were a source of food for Indigenous peoples, or for their contribution to the forest industry.https://ncc-ccn.gc.ca/remarkable-treeshttps://ncc-ccn.maps.arcgis.com/apps/MapJournal/index.html?appid=a9ba98fb7e8b4c2ba9be337235b95291

The Guide to Crown Land Use Planning Atlas (CLUPA) is the authoritative source for information on overlays. The dataset maintains a spatial record for all geographic areas of Ontario affected by the designations that modify area- specific land use policy. To be used as an overlay to [CLUPA Provincial data class](/data/crown-land-use-policy-area-provincial). Official GEO title: CLUPA Overlay

This dataset includes contact and location data for all library service points in BC. It also includes some primary data on library use and services from the most current year that data is available. The dataset is geolocational, and is available in XLSX, CSV, and KML formats.

Canada's National Forest Inventory (NFI) sampling program is designed to support reporting on forests at the national scale. On the other hand, continuous maps of forest attributes are required to support strategic analyses of regional policy and management issues. We have therefore produced maps covering 4.03 × 106 km2 of inventoried forest area for the 2001 base year using standardised observations from the NFI photo plots (PP) as reference data. We used the k nearest neighbours (kNN) method with 26 geospatial data layers including MODIS spectral data and climatic and topographic variables to produce maps of 127 forest attributes at a 250 × 250 m resolution. The stand-level attributes include land cover, structure, and tree species relative abundance. In this article, we report only on total live aboveground tree biomass, with all other attributes covered in the supplementary data (http://nrcresearchpress.com/doi/suppl/10.1139/cjfr-2013-0401). In general, deviations in predicted pixel-level values from those in a PP validation set are greater in mountainous regions and in areas with either low biomass or sparse PP sampling. Predicted pixel-level values are overestimated at small observed values and underestimated at large ones. Accuracy measures are improved through the spatial aggregation of pixels to 1 km2 and beyond. Overall, these new products provide unique baseline information for strategic-level analyses of forests (https://nfi.nfis.org)Collection:- **[Canada's National Forest Inventory (NFI) 2006](https://open.canada.ca/data/en/dataset/e2fadaeb-3106-4111-9d1c-f9791d83fbf4)**