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.

Data show where pathogens - fungal, bacillial or viral - have caused damage by reducing growth rates, tree vigor or have killed trees. Examples of forest diseases include White Pine Blister Rust, Armillaria Root Rot etc. The Government of Ontario tracks forest damage events to help proactively manage the detrimental effects to our forests. We monitor the threat and spread of invasive forest pest insect species in Ontario. The data is also important to the Forest Management Planning process in calculating timber volume loss within affected areas. This product requires the use of geographic information system (GIS) software.

This dataset covers Forest Resource Inventories between 2001 and 2004. It includes: * stand regeneration * harvested trees * trees lost to wildfire, insects, disease or wind damage Information from forest resource inventories provides the basis for major forest resource planning and ministry policy decisions.

Fish Culture Operation MNR identifies the locations of the Ontario Ministry of Natural Resources (MNR) fish culture stations (or hatcheries) and sub- stations. The data set outlines their property boundaries. This product requires the use of GIS software.

The dataset represents prominent linear (man-made or natural) features including: * cliffs * dykes * fences * walls * hedgerows * feature outlines * racetrack centre lines * racetrack edges We are no longer updating this data. It is best suited for historical research and analysis.

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

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.

The dataset identifies the location and types of Federal Land. These polygon boundaries should be verified using Federal Crown Land Survey Records and/or title searched at the local Land Registry Office. This data set may not include all Federally owned lands. Official GEO title: Federal Land Other

This data set shows utility points that provide services for: * power * water * communications * heating fuel They include: * fibre optic stations * hydro stations * lock pumping stations This product requires the use of geographic information system (GIS) software.

This historic dataset delineates valley segments based on a number of different natural features. The data applies to valley segments on the Ontario side of the Great Lakes. Aquatic Landscape Inventory System (ALIS) has also been incorporated into the [Aquatic Ecosystem Classification: Great Lakes Basin and Wetlands Data Class](/dataset/aquatic-ecosystems-in-the-great-lakes-basin) and the Great Lakes Conservation Blueprint for Aquatic Biodiversity datasets. We are no longer updating this data. It is best suited for historical research and analysis.