The Ontario Digital Surface Model (DSM) (Lidar-Derived) Land Information Ontario dataset is a raster product that provides a representation of both surface and ground features derived from a classified lidar point cloud. 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 The DSM data is available in 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, so 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.

Invest Nova Scotia is Nova Scotia’s business development agency that works to promote economic growth and community economic development in the province by enabling business, innovation, and entrepreneurship. From starting up and raising capital, to incubation and acceleration, export development and investment attraction, Invest Nova Scotia helps businesses seize opportunities.

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

Mining Leases

## General guidelines 1. The dataset contains trip origin, destination, commodity group, average daily trips, commodity weight and value. 2. The data represents activity by medium and heavy trucks only. 3. The origin and destination data is aggregated by counties in Ontario and province or state outside of Ontario. 4. The commodities are grouped into 32 groups and empty trucks. 5. The Commercial Vehicle Survey targets travel on provincial facilities. Therefore, coverage of intra-urban trips is incomplete, and should not be interpreted as representative. 6. Trip activity within the Greater Toronto Area municipalities is not representative. 7. The average trip distance is 440 km. Caution must be exercised with short distance trip activities. 8. All Origin-destination pairs with average trip activity of less than one trip per day have been suppressed. ## Field descriptions **Origin zone** : Trip Origin Zone Number - Zone aggregation is counties in Ontario and province/state for others 35XX - Ontario counties 70XX - U.S. States XX00-XX00 (except 3500) - Canadian Provinces **Origin name** : Trip Origin Name - county or province/state name **Destination zone** : Trip Destination Zone Number - Zone aggregation is counties in Ontario and province/state for others. Same numbering system as origins **Destination name** : Trip Destination Name - county or province/state name **Commodity group code** : Unique commodity group numeric code **Commodity group:** Descriptive name of the commodity group **Daily trips** : Average daily truck trips **Commodity weight** : Average daily commodity weight in kilograms (KG) **Commodity value** : Average daily value of the commodity in dollars ($) *[km]: kilometre

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 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.

Provincial listing of permanent liquor licenses and physical addresses

These maps are available for the Far North Land Use Planning Area at 2 scales (1:100,000 and 1:250,000). The maps were created as a resource for community-based Land Use Planning in the Far North of Ontario.

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).