The purpose of this feature class is to identify the forest resources management zones within a Forest Resources Management Plan, as per subsection 2(h) of the Forest Resources Regulation. These sub-divided smaller forest planning areas or landscape units are based on watershed boundaries and modified by local access and development patterns. They usually contain similar management concerns and forest types. The units form the boundaries for detailed information gathering, monitoring and planning.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)

The spatial representation of a Forest Stewardship Plan and Forest Development Units. A Forest Stewardship Plan is a plan submitted by a forest industry licensee stating how the BC Government's objectives for managing the province's forest resources will be met. It identifies the plan-holder's obligations for a five-year period. The Forest Development Unit is the spatially-mapped area of land within a Forest Stewardship Plan where specific forest practices obligations apply to specific forest licensees.

PLC - Cadastral and land planning (planningCadastre)Land use. For example, resources describing zoning maps, cadastral surveys, and land ownership.

The Recommended Plan divides the Dawson planning region into 21 discrete areas of land called Landscape Management Units. They are generally based upon differences in use, ecology, land status, habitat and physical landscape features such as watersheds. Each Landscape Management Unit has its own management direction.The Recommended Plan's Land Use Designation System describes the management intent of each Landscape Management Unit. The system recommended for the Dawson planning region is similar to other planning regions in Yukon.Distributed from [GeoYukon](https://yukon.ca/GeoYukon) by the [Government of Yukon](https://yukon.ca) . 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 provides wall-to-wall maps of forest structure across Canada's 650 million hectare forested ecosystems for the year 2022, generated at a spatial resolution of 30 m. Structure estimates include key attributes such as canopy height, canopy cover, and aboveground biomass, derived using a combination of airborne lidar and Landsat-based spectral composites. Structure models were trained using the - lidar-plot framework - (Wulder et al. 2012), which integrates co-located airborne lidar data and ground plot measurements with Landsat time-series composites (Hermosilla et al. 2016). A Nearest Neighbour imputation approach was applied to estimate structural attributes across the full extent of Canada's forested area. These nationally consistent products are intended to support strategic-level forest monitoring and assessment and are not designed for operational forest management.For further details on the methods, accuracy assessment, and source data, see Matasci et al. (2018).Matasci, G., Hermosilla, T., Wulder, M.A., White, J.C., Coops, N.C., Hobart, G.W., Bolton, D.K., Tompalski, P., Bater, C.W., 2018. Three decades of forest structural dynamics over Canada's forested ecosystems using Landsat time-series and lidar plots. Remote Sensing of Environment, 216, 697-714. https://doi.org/10.1016/j.rse.2018.07.024 (Matasci et al. 2018)

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.

This is a spatial layer showing Ministry of Forests Real Property Projects. These are spatial representations of land that is under intensive management/administration by the Ministry of Forests for various purposes consistent with the Forest Act.

This dataset provides wall-to-wall maps of forest structure across Canada's 650 million hectare forested ecosystems for the year 2022, generated at a spatial resolution of 30 m. Structure estimates include key attributes such as canopy height, canopy cover, and aboveground biomass, derived using a combination of airborne lidar and Landsat-based spectral composites. Structure models were trained using the - lidar-plot framework - (Wulder et al. 2012), which integrates co-located airborne lidar data and ground plot measurements with Landsat time-series composites (Hermosilla et al. 2016). A Nearest Neighbour imputation approach was applied to estimate structural attributes across the full extent of Canada's forested area. These nationally consistent products are intended to support strategic-level forest monitoring and assessment and are not designed for operational forest management.For further details on the methods, accuracy assessment, and source data, see Matasci et al. (2018).Matasci, G., Hermosilla, T., Wulder, M.A., White, J.C., Coops, N.C., Hobart, G.W., Bolton, D.K., Tompalski, P., Bater, C.W., 2018. Three decades of forest structural dynamics over Canada's forested ecosystems using Landsat time-series and lidar plots. Remote Sensing of Environment, 216, 697-714. https://doi.org/10.1016/j.rse.2018.07.024 (Matasci et al. 2018)

This dataset provides wall-to-wall maps of forest structure across Canada's 650 million hectare forested ecosystems for the year 2022, generated at a spatial resolution of 30 m. Structure estimates include key attributes such as canopy height, canopy cover, and aboveground biomass, derived using a combination of airborne lidar and Landsat-based spectral composites. Structure models were trained using the - lidar-plot framework - (Wulder et al. 2012), which integrates co-located airborne lidar data and ground plot measurements with Landsat time-series composites (Hermosilla et al. 2016). A Nearest Neighbour imputation approach was applied to estimate structural attributes across the full extent of Canada's forested area. These nationally consistent products are intended to support strategic-level forest monitoring and assessment and are not designed for operational forest management.For further details on the methods, accuracy assessment, and source data, see Matasci et al. (2018).Matasci, G., Hermosilla, T., Wulder, M.A., White, J.C., Coops, N.C., Hobart, G.W., Bolton, D.K., Tompalski, P., Bater, C.W., 2018. Three decades of forest structural dynamics over Canada's forested ecosystems using Landsat time-series and lidar plots. Remote Sensing of Environment, 216, 697-714. https://doi.org/10.1016/j.rse.2018.07.024 (Matasci et al. 2018)

This 'Current' spatial data layer is publicly viewable and downloadable, contains the most current Legal Old Growth Management Area (OGMA) polygons and excludes any sensitive information. This data represents legally established and spatially defined areas of old growth forest that are identified during landscape unit planning or an operational planning process. Forest licensees are required to maintain legally established OGMAs when preparing FSPs. OGMAs, in combination with other areas where forestry development is prevented or constrained, are used to achieve biodiversity targets. This spatial view will show the most current polygons and excludes sensitive information. This data is viewable in iMapBC by 2 layers: Legal Old Growth Management Areas - Current, Old Growth Management Areas - Legal. Please see the Additional Information and Object Description Comments below.