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We have found 704 datasets for the keyword "forest". You can continue exploring the search results in the list below.
Datasets: 103,380
Contributors: 42
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704 Datasets, Page 1 of 71
FADM - Provincial Forest Addition
The spatial representation for a Forest Addition, which is any Forest land that is to be designated by the Lieutenant Governor, into an established forest, to be managed and used for the social and economic benefit of the Province
FRI: Forest stands
Forest stands (FSTAND) is a vector delineation of relatively homogeneous forest stands or naturally non-forested areas as polygons with a 0.5 ha minimum area and a 2.0 ha median area.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. Forest stands (FSTAND) is a vector delineation of relatively homogeneous forest stands or naturally non-forested areas as polygon with a 0.5 ha minimum area and a 2.0 ha median area. For more information, see the Forest Inventory Standard of the Saskatchewan Environmental Code, Forest Inventory Chapter.
Forest Management Units
An administrative unit of forest land designated by the Minister, as authorized under Section 14(1) of the Forests Act.
VRI - 2025 - Forest Vegetation Composite Rank 1 Layer (R1)
Geospatial forest inventory dataset updated for depletions, such as harvesting, and projected annually for growth. Sample attributes in this dataset include: age, species, volume, height. The Vegetation Resources Inventory (VRI) spatial datasets describe both where a vegetation resource (ie timber volume, tree species) is located and how much of a given resource is within an inventory unit. Suggested citation: Forest Analysis and Inventory Branch (2024). VRI - 2024 - Forest Vegetation Composite Rank 1 Layer (R1). British Columbia Data Catalogue. https://catalogue.data.gov.bc.ca/dataset/2ebb35d8-c82f-4a17-9c96-612ac3532d55
Forest Lorey's Height (2022)
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. It is developed within the framework of Canada’s National Terrestrial Ecosystem Monitoring System (NTEMS). 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)
Forest Tenure Timber Licence Elimination
The spatial representation for the areas that have been eliminated from a timber licence
Canada Forest Wildfires (2023)
Map of burned area in Canada's forested ecosystems for the 2023 fire session at 30-m spatial resolution mapped from time-series data from Sentinel-2A and -2B, and Landsat-8 and -9 using the Tracking Intra- and Inter-year Change (TIIC) algorithm (Pelletier et al. 2024). It is developed within the framework of Canada’s National Terrestrial Ecosystem Monitoring System (NTEMS). Fires are grouped into two classes based on detection period: summer fires and fall fires. Summer burned pixels were detected between May 30 and September 17, and fall burned pixels were detected between September 17 and October 25. For summer fires, burned pixels were identified by TIIC as changed and typed as fire. For the fall period, TIIC only detected changes within a 4-km buffer of the NRCan fire perimeters (https://cwfis.cfs.nrcan.gc.ca/datamart). This approach was used to limit commission errors that can occur due to known limitations of mapping with optical data in the fall due to phenology, snow cover, or low sun angles. For the 2023 fire season, the TIIC algorithm detected 12.74 Mha of burned area in Canada's forested ecozones, representing 1.8% of the total forest-dominated ecozone area. Of the 12.74 Mha, 11.57 Mha (90.9%) was burned by summer fires and 1.16 Mha (9.1%) by fall fires (Pelletier et al, 2024).When using this data, please cite as: Pelletier, F., Cardille, J.A., Wulder, M.A., White, J.C., Hermosilla, T., 2024. Revisiting the 2023 wildfire season in Canada. Science of Remote Sensing. 10, 100145. (Pelletier et al. 2024).
Woodlands Improvement Act areas
Data from the former Kemptville, Midhurst and Aylmer Districts were compiled in this dataset to show forest areas on private land, managed by the landowner in cooperation with the Ontario Ministry of Natural Resources under the Woodlands Improvement Act (WIA). The WIA allowed for 15-year management agreements between landowners and the MNR to plant and improve woodlands on private land. The WIA was in place from 1966-1999. This data is being provided as-is. No additional data is available, and no updates or maintenance are planned for this dataset.
Forest Development Units
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.
Territorial forest subdivisions (STF)
This product integrates all the boundaries of public forest territory: according to the Law on Sustainable Forest Land Management (LADTF), the public forest territory consists of management units (UA), local forests (FP), residual forest territories (TFR), residual forest territories (TFR), forests for education and research (FR), forests for education and research (FER), forests for education and research (FER), the Duchesnay forest station, experimental forests (FE), exceptional forest ecosystems (FR), exceptional forest ecosystems (FR), EFE), biological refuges. Depending on the type of territory, rights may be granted under specific conditions and/or excluded from all forest management activities. The mapping of these public forest territories is necessary for several MRNF mandates including the determination of forest opportunities, the allocation of wood volumes and finally the planning and monitoring of forest management works.In addition to these territories and rights granted, there are forest administrative boundaries that are in force at the MRNF, such as private forest development agencies, pricing zones, management units (UGs), territories of analysis of the Chief Forester (FEC), etc.This product is maintained in the MRNF STF system and several official entities of the Ministry have their origins in it. For more information on how to do this, please consult the lexicon that accompanies the datasets.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
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