The spatial accuracy of the lot fabric for some townships has been improved through the Ontario Parcel, Township Realignment and Township Improvement projects. Improvements to the fabric may include: * road allowance widths * spatial changes to better represent the location of lot boundaries * more consistent concession names. Data is collected on an on-going basis. The time period "end date" may be more recent than indicated here.

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 .

Mining Leases

This dataset is used for national and coarse-scale provincial reporting such as analyses of climate, demographics and watersheds.

The Ontario Lidar Digital Terrain Model (DTM) Geospatial Ontario (GEO) Dataset is a raster product representing the bare-earth terrain derived from a classified lidar point cloud. The DTM data is available in the form of 1-km by 1-km non-overlapping tiles grouped into packages for download. This dataset is a compilation of lidar data from multiple acquisition projects, as such specifications, parameters and sensors may vary by project. This data is for geospatial tech specialists, and is used by government, municipalities, conservation authorities and the private sector for land use planning and environmental analysis.

Facilities used by the Ministry of Natural Resources' Aviation Forest Fire and Emergency Services (AFFES) branch. This dataset is used to support aviation forest fire and AFFES business operations.

## 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.

The digital elevation models (DEM) are 2 m resolution raster elevation products that were generated from the Ontario Classified Point Cloud (Imagery-Derived) data. The point clouds were created via a pixel-autocorrelation process from the stereo aerial photography of the Geospatial Ontario (GEO) imagery program. The DEM does not represent a full ‘bare-earth’ elevation surface. There are areas where there are very few points classified as ground and interpolation has occurred across the resulting voids. Points classified as ground have not been assessed for accuracy to determine if they represent true ground features. Some features are still raised above ground surface, such as larger buildings, larger forest stands and other raised features. This data is for geospatial tech specialists, and is used by government, municipalities, conservation authorities and the private sector for land use planning and environmental analysis.

The Ontario Point Cloud (Lidar-Derived) consists of points containing elevation and intensity information derived from returns collected by an airborne topographic lidar sensor. The point cloud is structured into non-overlapping 1 km by 1 km tiles in LAZ format. The following classification codes are applied to the data: * unclassified * ground * water * high noise * low noise This dataset is a compilation of lidar data from multiple acquisition projects, so specifications, parameters, accuracy and sensors may vary by project. This data is for geospatial tech specialists, and is used by government, municipalities, conservation authorities and the private sector for land use planning and environmental analysis. __Related data:__ Raster derivatives have been created from the point clouds. These products may meet your needs and are available for direct download. For a representation of bare earth, see the [Ontario Digital Terrain Model (Lidar-Derived)]( https://geohub.lio.gov.on.ca/maps/mnrf::ontario-digital-terrain-model-lidar-derived/about). For a model representing all surface features, see the [Ontario Digital Surface Model (Lidar-Derived)](https://geohub.lio.gov.on.ca/maps/mnrf::ontario-digital-surface-model-lidar-derived/about).

* This dataset is updated on a daily basis. The ‘Record Modified’ date refers to the last metadata update. This dataset contains the extent of mineral leases in Nunavut. A mineral lease is a mineral claim that has been surveyed by a Canada Lands Surveyor. A mineral lease can be applied for after an exploration prospecting company has done a minimum of representation work in the claim area and if a legal survey on the claim has been recorded. A mineral lease is required for disposal or sale of minerals or of a gross value of more than $100,000 in one year. For more information, visit https://www.rcaanc-cirnac.gc.ca/eng/1100100036000/1547749889500. Note: This is one of the four (4) datasets that describe mineral tenure in Nunavut. It includes mineral claims, mining leases, prospecting permits as well as coal exploration licences.