ECO - Business and economic (economy) Economic activities or employment. For example, resources describing labor; revenue; commerce; industry; tourism and ecotourism; forestry; fisheries; commercial or subsistence hunting; and exploration and exploitation of resources, such as minerals, oil, and gas.

The boundaries of the 14 lead agencies that support the Student Nutrition Program. Data contains lead agency names and accompanying shape files that detail their service areas.

Coal Exploration Licences

Business / Person that acts as an agent for a lender in arranging consumer loans

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 Digital Surface Model (Imagery-Derived) is a raster elevation product that was generated from the elevation point clouds created via pixel-correlation from aerial photography. A DSM is the highest reflective surface of features captured by the sensor. This surface is also referred to as the first reflective surface. The DSM may include: * treetops * rooftops and tops of towers * telephone poles * other natural or artificial features * ground surface if there is no vegetative ground cover 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 spatial extent of service territory boundaries for Ontario's local distribution companies (LDCs). ENERGY's data consumers require visualization of the service territory boundaries of local distribution companies (LDCs) to support policy development.

The purpose of this dataset is to identify the location of river valley connections.

The Ontario Stewardship Program has established Stewardship Councils across Ontario. Ministry of Natural Resources staff no longer directly administer and support Ontario Stewardship Councils. Community-based partners and stakeholders now independently administer Stewardship Councils. We are no longer updating this data. It is best suited for historical research and analysis. __Stewardship Zone__ The Ontario Stewardship Program divides the province into four administrative regions or zones. Any given Stewardship Council will fall into one of these zones. __Stewardship Council Area__ The Ontario Stewardship Program established Stewardship Councils across southern Ontario and a portion of Northern Ontario. Where these councils have defined administrative boundaries, the location is stored in this data class. __Stewardship Council Location__ Most councils have established administrative boundaries that generally conform to upper tier municipalities. There are some councils in Northern Ontario which are generally located in and around a certain geographic location but do not have established administrative boundaries. This data class is primarily used to store point locations associated with these northern councils.

The Ontario Classified Point Cloud (Imagery-Derived) is a classified elevation point cloud based on aerial photography. The point cloud is structured in non-overlapping 1 km by 1 km tiles in a compressed format. The following classification codes are applied to the data: * unclassified * ground * low noise 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 for some imagery projects. These products may meet your needs and are available for direct download. For a representation of bare earth, see the [Ontario Digital Elevation Model (Imagery-Derived)]( https://geohub.lio.gov.on.ca/maps/mnrf::ontario-digital-elevation-model-imagery-derived/about). For a model representing all surface features, see the [Ontario Digital Surface Model (Imagery-Derived)]( https://geohub.lio.gov.on.ca/maps/mnrf::ontario-digital-surface-model-imagery-derived/about).