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Get mapping data related to the Northwest Greater Toronto Area Transmission Corridor Identification Study. In June 2019, the Ministry of Energy, Northern Development and Mines along with Ontario’s electricity system planner, the Independent Electricity System Operator, launched the Northwest GTA Transmission Corridor Identification Study to identify an appropriate corridor of land for use by future power lines if and when the need arises.
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The spatial record for all the province's geographic areas affected by provincial level, area-specific land use policy. This layer may contain geometry from the: * provincial parks-regulated layer * conservation reserves-regulated layer * natural heritage values area layer * wilderness areas layer * crown land MNR acquisitions layer * crown land MNR unpatented layer * CLUPA geometry (enhanced management areas and general use areas) layer Not to be used as a source of protected areas (provincial park, conservation reserve, etc.), crown land or private land boundaries. Official GEO title: CLUPA Provincial
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## Get data on boundaries of local climatic areas used for forest fire weather forecasting. This dataset shows the boundaries of administrative areas used for forest fire weather forecasting. North of the French River, boundaries correspond closely with Environment Canada’s areas for public weather forecasting. South of the French River, 25 Environment Canada areas are combined into six larger areas for provincial forecasting.
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Natural areas abutting Lake Simcoe are areas of a continuous vegetation community class that have a minimum size of 1 ha and are wholly or partially within the 30 m buffer zone of the Lake Simcoe shoreline. These areas may be a narrow band of vegetation along the shoreline or larger areas, which extend a greater distance from the shoreline. As described in policy 6.31-SA, the MNR and the MOE will map the location of natural areas abutting Lake Simcoe.
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Data set includes the smaller areas of sensitivity (a standard radius around water intake points) and the larger areas of concern (determined by land, soil and water characteristics of the surrounding area).
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The Ontario Radar Digital Surface Model (DSM) has the following features: * source data: 1 arc second spaceborne C-Band Interferometric Synthetic Aperture Radar (IFSAR) data * Ministry of Natural Resources (MNR) Lambert Conformal Conic Projection * vertical datum in both EGM96 and CGVD28, separately * elevation value: floating * local Polynomial Interpolation from vector elevation points * spatial resolution: 30 meter * asurface elevation model This product offers significant advancements in elevation data in the province. [Read the details about these advancements and other technical specifications,](https://geohub.lio.gov.on.ca/maps/mnrf::ontario-radar-digital-surface-model/) including data processing, major spatial characteristics of the Radar DSM, and the steps to generate the Northern Ontario Radar DSM.
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Hazardous forest types for wildland fire means forest types assessed as being associated with the risk of high to extreme wildland fire. This data is intended to help inform where further assessment is required and is to be used in conjunction with guidance from the Ministry of Natural Resources and Forestry .
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Data set contains geographical referencing information like: * type of feature or place * location coordinates * geographic township * municipal and map references Also contains places and background information behind their official naming like: * name status * naming date * name origin * naming history This layer used to be distributed under the name "Geographic Name Extent" but was modified to "Geographic Named Extent" in November 2011. [About Geographic Names](https://www.ontario.ca/page/geographic-names)
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Designed to represent true ground and bathymetric elevation, this digital elevation model (DEM) covers two sections of the Greater Toronto Area (GTA) along the western shoreline of Lake Ontario: * Hamilton in the west to Niagara-on-the-Lake in the east * Scarborough in the west to Port Hope in the east
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This dataset is used to: * assess biodiversity levels * define seed zones * map ecosystem types * set targets for the identification of natural heritage systems
Arctic SDI catalogue