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We have found 691 datasets for the keyword "forest". You can continue exploring the search results in the list below.
Datasets: 105,253
Contributors: 42
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691 Datasets, Page 1 of 70
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.
Wooded areas
This dataset is often used by users without access to the Provincial Forest Resource Inventory data, which contains information like municipalities and non-profit groups not affiliated with monitoring or maintaining the Forest Resource Inventory.
VRI - 2024 - 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 Management Units
An administrative unit of forest land designated by the Minister, as authorized under Section 14(1) of the Forests Act.
Forest Lorey's Height (2015)
Forest Lorey's Height 2015Lorey's mean height. It is developed within the framework of Canada’s National Terrestrial Ecosystem Monitoring System (NTEMS). Average height of trees weighted by their basal area (m). Products relating the structure of Canada's forested ecosystems have been generated and made openly accessible. The shared products are based upon peer-reviewed science and relate aspects of forest structure including: (i) metrics calculated directly from the lidar point cloud with heights normalized to heights above the ground surface (e.g., canopy cover, height), and (ii) modelled inventory attributes, derived using an area-based approach generated by using co-located ground plot and ALS data (e.g., volume, biomass). Forest structure estimates were generated by combining information from lidar plots (Wulder et al. 2012) with Landsat pixel-based composites (White et al. 2014; Hermosilla et al. 2016) using a nearest neighbour imputation approach with a Random Forests-based distance metric. These products were generated for strategic-level forest monitoring information needs and are not intended to support operational-level forest management. All products have a spatial resolution of 30 m. For a detailed description of the data, methods applied, and accuracy assessment results see Matasci et al. (2018). When using this data, please cite as follows: Matasci, G., Hermosilla, T., Wulder, M.A., White, J.C., Coops, N.C., Hobart, G.W., Bolton, D.K., Tompalski, P., Bater, C.W., 2018b. 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. Matasci et al. 2018)Geographic extent: Canada's forested ecosystems (~ 650 Mha)Time period: 1985–2011
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)
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.
Annual Tree Species (1984-2022)
In this dataset, we share maps of annual dominant tree species (also known as leading tree species) from 1984-2022 covering the entirety of Canada's 650 Mha forested ecosystems using Landsat time-series imagery at a 30-m spatial resolution. It is developed within the framework of Canada’s National Terrestrial Ecosystem Monitoring System (NTEMS). Classifications are based on regionally representative Random Forests model using local training samples from Canada's National Forest Inventory (Hermosilla et al., 2024). Descriptive metrics provide information on spectral, geographic, climatic, and topographic characteristics. Initial annual tree species classifications were subjected to a time series post-classification process using the forward-backward Hidden Markov Model to improve the temporal consistency of tree species transitions within the time series. Assessment of the annual species maps using independent validation data resulted in an overall accuracy of 86.1% ± 0.14% (95%-confidence interval). These data allow consistent comparison of trends and rates of change in tree species composition nationally and across regions using a common time frame, spatial resolution, and analytical approach.Hermosilla, T., Wulder, M.A., White, J.C., Coops, N.C., Bater, C.W., Hobart, G.W., 2024. Characterizing long-term tree species dynamics in Canada's forested ecosystems using annual time series remote sensing data. Forest Ecology and Management, 122313. https://doi.org/10.1016/j.foreco.2024.122313 (Hermosilla et al. 2024)
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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