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We have found 274 datasets for the keyword "forests". You can continue exploring the search results in the list below.
Datasets: 105,253
Contributors: 42
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274 Datasets, Page 1 of 28
Tree Species (2019)
High-resolution map of leading tree species distribution for Canada’s forested ecosystems (2019). Leading tree species map produced from a 2019 Landsat image composite, geographic and climate data, elevation derivatives, and remote sensing derived phenology following the framework described in Hermosilla et al. (2022). Regional classification models were generated based on Canada’s National Forest Inventory using a 150x150 km tiling system. The leading tree species are defined by representing the most voted tree species from the Random Forests classification models (i.e. the class with the highest class membership probability).The data represents leading tree species of Canada's forested ecosystems in 2019. An image compositing window of August 1 ± 30 days was used to generate the best-available-pixel (BAP) image composites utilized as source data for the classification.The science and methods developed to generate the information outcomes shown here, that track and characterize the history of Canada’s forests, were led by Canadian Forest Service of Natural Resources Canada, developed within the framework of Canada’s National Terrestrial Ecosystem Monitoring System (NTEMS), partnered with the University of British Columbia, augmented by processing capacity from Digital Research Alliance of Canada.For an overview on the data, image processing, and methods applied, as well as information on independent accuracy assessment of the data, see Hermosilla et al. (2022) https://doi.org/10.1016/j.rse.2022.113276When using this data, please cite as: Hermosilla, T., Bastyr, A., Coops, N.C., White, J.C., Wulder, M.A., 2022. Mapping the presence and distribution of tree species in Canada’s forested ecosystems. Remote Sensing of Environment 282, 113276.
Forest Tenure Real Property Project
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.
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).**
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)
Manitoba Provincial Forests – Version 6
Manitoba's Provincial Forest Boundaries (version 6): There are currently 15 provincial forests totalling almost 22,000 km2. Attributes include the name of the provincial forest, the year it was established and its area. Detailed descriptions of Manitoba’s provincial forests are provided in the Provincial Forest Act Regulations.Manitoba's Provincial Forest B oundaries ( V ersion 6 ). Manitoba's provincial forests reserve certain areas in the province for perpetual growth of timber, preserve the forest cover thereon and provide for a reasonable use of all the resources that the forest lands contain. All Crown lands within a provincial forest are withdrawn from disposition, sale, settlement or occupancy, except under authority of the Forest Act . Before the Province of Manitoba was established, European settlers were promised 160 acres of free land if they lived on it and cleared it for agriculture. As a result, farms began replacing our southern forests. The federal government decided they must retain some forests for building material. In 1885 , they established Turtle Mountain, Spruce Woods and Riding Mountain (now a national park) as timber reserves. Duck Mountain and Porcupine Mountain followed in 1906. What started out as federal timber reserves 100 years ago have become our provincial forests of today. Manitoba has 15 provincial forests , totalling almost 22,000 sq. km . These forests are among the highest quality timber stands in the province. Today, our provincial forests are much more than reserves for timber. They are also places for wildlife, recreation and research. Control of Manitoba's forests was transferred from the federal to the provincial governments in 1930. Provincial forests are Crown lands owned by the people of Manitoba. The feature class name (BDY_MB_PROV_FOREST_PY) components include: 1. ISO 19115 Topic Category Name (BDY for boundary); 2. Location code (MB for Manitoba); 3. Intuitive or descriptive name (PROV_FOREST); 4. Data/geometry type (PY for polygon); 5. Version number (v 6 ).Manitoba's provincial forests include Agassiz Provincial Forest, Belair Provincial Forest, Brightstone Sand Hills Provincial Forest, Cat Hills Provincial Forest, Cormorant Provincial Forest, Duck Mountain, Moose Creek Provincial Forest, Northwest Angle Provincial Forest, Porcupine Provincial Forest, Sandilands Provincial Forest, Spruce Woods Provincial Forest, Swan-Pelican Provincial Forest, Turtle Mountain Provincial Forest, Wampum Provincial Forest, and Whiteshell Provincial Forest.Detailed descriptions of Manitoba’s Provincial Forests are provided in the Provincial Forest Act Regulations. The dataset includes the following fields : Name / Nom Alias Description PROV_FOREST_ID Provincial Forest ID / No de la forêt provinciale Provincial Forest identifier Identificateur de la forêt provinciale PROV_FOREST_NAME Provincial Forest Name Provincial Forest name -- NOM_FORET_PROV Nom de la forêt provinciale -- Nom de la forêt provinciale ESTABLISHED Year Established / Année d’établissement The year that the provincial forest was established L’année où la forêt provinciale a été établie AREA_HA Area / Surface (Hectares) Area in hectares La surface en hectares
Forest Management Units
An administrative unit of forest land designated by the Minister, as authorized under Section 14(1) of the Forests Act.
Recreation Line
This is a spatial layer showing Ministry of Forests Recreation Lines. These are the linear spatial representation for features such as recreation trails
Forest Basal Area (2015)
Forest Basal Area 2015Cross-sectional area of tree stems at breast height. It is developed within the framework of Canada’s National Terrestrial Ecosystem Monitoring System (NTEMS). The sum of the cross-sectional area (i.e. basal area) of each tree in square metres in a plot, divided by the area of the plot (units = m2ha). 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 Tenure Special Access Road Polygon
This is a spatial layer showing Ministry of Forests Map Notation Lines. These are the spatial representation of the polygonal geometry for FSR Dedications and FSR Gravel Pits
Forest Total Biomass (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)
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