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We have found 242 datasets for the keyword "forests". You can continue exploring the search results in the list below.
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242 Datasets, Page 1 of 25
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 granted rights, there are forest administrative boundaries that are in force at MRNF, such as private forest development agencies, pricing zones, management units (UGs), Chief Forester (FEC) analysis territories, etc. This product is maintained in the MRNF STF system, etc. This product is maintained in the MRNF STF system and several official entities of the Ministry originate 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).**
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
SCANFI: the Spatialized CAnadian National Forest Inventory data product
This data publication contains a set of 30m resolution raster files representing 2020 Canadian wall-to-wall maps of broad land cover type, forest canopy height, degree of crown closure and aboveground tree biomass, along with species composition of several major tree species. The Spatialized CAnadian National Forest Inventory data product (SCANFI) was developed using the newly updated National Forest Inventory photo-plot dataset, which consists of a regular sample grid of photo-interpreted high-resolution imagery covering all of Canada’s non-arctic landmass. SCANFI was produced using temporally harmonized summer and winter Landsat spectral imagery along with hundreds of tile-level regional models based on a novel k-nearest neighbours and random forest imputation method. A full description of all methods and validation analyses can be found in Guindon et al. (2024). As the Arctic ecozones are outside NFI’s covered areas, the vegetation attributes in these regions were predicted using a single random forest model. The vegetation attributes in these arctic areas could not be rigorously validated. The raster file « SCANFI_aux_arcticExtrapolationArea.tif » identifies these zones.SCANFI is not meant to replace nor ignore provincial inventories which could include better and more regularly updated inputs, training data and local knowledge. Instead, SCANFI was developed to provide a current, spatially-explicit estimate of forest attributes, using a consistent data source and methodology across all provincial boundaries and territories. SCANFI is the first coherent 30m Canadian wall-to-wall map of tree structure and species composition and opens novel opportunities for a plethora of studies in a number of areas, such as forest economics, fire science and ecology.# Limitations1- The spectral disturbances of some areas disturbed by pests are not comprehensively represented in the training set, thus making it impossible to predict all defoliation cases. One such area, severely impacted by the recent eastern spruce budworm outbreak, is located on the North Shore of the St-Lawrence River. These forests are misrepresented in our training data, there is therefore an imprecision in our estimates.2- Attributes of open stand classes, namely shrub, herbs, rock and bryoid, are more difficult to estimate through the photointerpretation of aerial images. Therefore, these estimates could be less reliable than the forest attribute estimates.3- As reported in the manuscript, the uncertainty of tree species cover predictions is relatively high. This is particularly true for less abundant tree species, such as ponderosa pine and tamarack. The tree species layers are therefore suitable for regional and coarser scale studies. Also, the broadleaf proportion are slightly underestimated in this product version.4- Our validation indicates that the areas in Yukon exhibit a notably lower R2 value. Consequently, estimates within these regions are less dependable. 5- Urban areas and roads are classified as rock, according to the 2020 Agriculture and Agri-Food Canada land-use classification map. Even though those areas contain mostly buildings and infrastructure, they may also contain trees. Forested urban parks are usually classified as forested areas. Vegetation attributes are also predicted for forested areas in agricultural regions.Updates of this dataset will eventually be available on this metadata page.# Details on the product development and validation can be found in the following publication:Guindon, L., Manka, F., Correia, D.L.P., Villemaire, P., Smiley, B., Bernier, P., Gauthier, S., Beaudoin, A., Boucher, J., and Boulanger, Y. 2024. A new approach for Spatializing the Canadian National Forest Inventory (SCANFI) using Landsat dense time series. Can. J. For. Res. https://doi.org/10.1139/cjfr-2023-0118# Please cite this dataset as: Guindon L., Villemaire P., Correia D.L.P., Manka F., Lacarte S., Smiley B. 2023. SCANFI: Spatialized CAnadian National Forest Inventory data product. Natural Resources Canada, Canadian Forest Service, Laurentian Forestry Centre, Quebec, Canada. https://doi.org/10.23687/18e6a919-53fd-41ce-b4e2-44a9707c52dc # The following raster layers are available:• NFI land cover class values: Land cover classes include Water, Rock, Bryoid, Herbs, Shrub, Treed broadleaf, Treed mixed and Treed conifer• Aboveground tree biomass (tonnes/ha): biomass was derived from total merchantable volume estimates produced by provincial agencies• Height (meters): vegetation height• Crown closure (%): percentage of pixel covered by the tree canopy• Tree species cover (%): estimated as the proportion of the canopy covered by each tree species: o Balsam fir tree cover in percentage (Abies balsamea) o Black spruce tree cover in percentage (Picea mariana) o Douglas fir tree cover in percentage (Pseudotsuga menziesii) o Jack pine tree cover in percentage (Pinus banksiana) o Lodgepole pine tree cover in percentage (Pinus contorta) o Ponderosa pine tree cover in percentage (Pinus ponderosa) o Tamarack tree cover in percentage (Larix laricina) o White and red pine tree cover in percentage (Pinus strobus and Pinus resinosa) o Broadleaf tree cover in percentage (PrcB) o Other coniferous tree cover in percentage (PrcC)
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 Tenure Special Access Road Line
This is a spatial layer showing Ministry of Forests Map Notation Lines. These are the spatial representation of the linear geometry for FSR Declarations and FSR Gazettes Unsurveyed.
Forest Tenure Map Notation Line
This is a spatial layer showing Ministry of Forests Map Notation Lines. These are the linear spatial representation for a notation on the Forest Atlas which records the area of interest of other government agencies and individuals
Forest Tenure Map Notation Polygon
This is a spatial layer showing Ministry of Forests Map Notation Polygons. These are polygonal spatial representation for a notation on the Forest Atlas which records the area of interest of other government agencies and individuals
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