Landsat-derived forest age for Canada 2022Satellite-based forest age map for 2022 across Canada's forested ecozones at a 30-m spatial resolution. Remotely sensed data from Landsat (disturbances, surface reflectance composites, forest structure) and MODIS (Gross Primary Production) are utilized to determine age. Age can be determined where disturbance can be identified directly (disturbance approach) or inferred using spectral information (recovery approach) or using inverted allometric equations to model age where there is no evidence of disturbance (allometric approach). The disturbance approach is based upon satellite data and mapped changes and is the most accurate. The recovery approach also avails upon satellite data plus logic regarding forest succession, with an accuracy that is greater than pure modeling. Given the lack of widespread recent disturbance over Canada's forests, the allometric approach is required over the greatest area (86.6%). Using information regarding realized heights and growth and yield modeling, ages are estimated where none are otherwise possible. Trees of all ages are mapped, with trees >150 years old combined in an - old tree - category. This product was developed within the framework of Canada’s National Terrestrial Ecosystem Monitoring System (NTEMS).See Maltman et al. (2023) for an overview of the methods, data, image processing, as well as information on agreement assessment using Canada's National Inventory (NFI). Maltman, J.C., Hermosilla, T., Wulder, M.A., Coops, N.C., White, J.C., 2023. Estimating and mapping forest age across Canada's forested ecosystems. Remote Sensing of Environment 290, 113529. ( Maltman et al. 2023).

Landsat-derived forest age for Canada 2022Satellite-based forest age map for 2022 across Canada's forested ecozones at a 30-m spatial resolution, developed within the framework of Canada’s National Terrestrial Ecosystem Monitoring System (NTEMS). Remotely sensed data from Landsat (disturbances, surface reflectance composites, forest structure) and MODIS (Gross Primary Production) are utilized to determine age. Age can be determined where disturbance can be identified directly (disturbance approach) or inferred using spectral information (recovery approach) or using inverted allometric equations to model age where there is no evidence of disturbance (allometric approach). The disturbance approach is based upon satellite data and mapped changes and is the most accurate. The recovery approach also avails upon satellite data plus logic regarding forest succession, with an accuracy that is greater than pure modeling. Given the lack of widespread recent disturbance over Canada's forests, the allometric approach is required over the greatest area (86.6%). Using information regarding realized heights and growth and yield modeling, ages are estimated where none are otherwise possible. Trees of all ages are mapped, with trees >150 years old combined in an - old tree - category.See Maltman et al. (2023) for an overview of the methods, data, image processing, as well as information on agreement assessment using Canada's National Inventory (NFI). Maltman, J.C., Hermosilla, T., Wulder, M.A., Coops, N.C., White, J.C., 2023. Estimating and mapping forest age across Canada's forested ecosystems. Remote Sensing of Environment 290, 113529. ( Maltman et al. 2023).

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.

Landsat-derived forest age for Canada 2022Satellite-based forest age map for 2022 across Canada's forested ecozones at a 30-m spatial resolution. It is developed within the framework of Canada’s National Terrestrial Ecosystem Monitoring System (NTEMS). Remotely sensed data from Landsat (disturbances, surface reflectance composites, forest structure) and MODIS (Gross Primary Production) are utilized to determine age. Age can be determined where disturbance can be identified directly (disturbance approach) or inferred using spectral information (recovery approach) or using inverted allometric equations to model age where there is no evidence of disturbance (allometric approach). The disturbance approach is based upon satellite data and mapped changes and is the most accurate. The recovery approach also avails upon satellite data plus logic regarding forest succession, with an accuracy that is greater than pure modeling. Given the lack of widespread recent disturbance over Canada's forests, the allometric approach is required over the greatest area (86.6%). Using information regarding realized heights and growth and yield modeling, ages are estimated where none are otherwise possible. Trees of all ages are mapped, with trees >150 years old combined in an - old tree - category.See Maltman et al. (2023) for an overview of the methods, data, image processing, as well as information on agreement assessment using Canada's National Inventory (NFI). Maltman, J.C., Hermosilla, T., Wulder, M.A., Coops, N.C., White, J.C., 2023. Estimating and mapping forest age across Canada's forested ecosystems. Remote Sensing of Environment 290, 113529. ( Maltman et al. 2023).

Forest stands identified under the Nova Scotia Old Growth Forest Policy.

This 'Current' spatial data layer is publicly accessible, contains the most current Non-Legal Old Growth Management Area (OGMA) polygons and excludes any sensitive information. This data represents spatially defined areas of old growth forest that are identified during landscape unit planning or an operational planning process. Forest licensees are not required to follow direction provided by non-legal OGMAs when preparing FSPs, and may choose to manage required old growth biodiversity targets in other ways. OGMAs, in combination with other areas where forestry development is prevented or constrained, are used to achieve biodiversity targets. Please see the Additional Information and Object Description Comments below.

This data set was created upon direction from Yukon Government, DIAND, Yukon Region and CYFN following consultations with citizens of Carcross, Ross River, Old Crow and Beaver Creek. The maps for Burwash Landing, Destruction Bay, Pelly Crossing and Deep Creek reflect the community boundaries of the respective First Nation Final Agreements.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)

Designated forested patches meeting DNRED’s criteria for “Old Forest Communities” and “Old Forest Wildlife Habitats”.

Walk-in lakes and the buffers around the walk-in lakes within the old Clearwater Forest District circa 2001. The old Clearwater Forest District became the northern part of the Thompson-Rivers Natural Resource District. Walk-in lakes were identified for non-motorized access only.

Designated forested stands meeting D.N.R.’s structural and spatial criteria for “Old Forest Communities” and “Old Forest Wildlife Habitats”.