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.

This dataset provides information about the areas of soil survey projects that have been compiled to create the Soil Landscape Mapping - Best Available (DPIRD-027) dataset as well as the scale and reliability of each survey.

Get consolidated soil data mapped on a county basis in a digitally stitched and standardized product. This soil survey data was mapped by a number of soil surveyors from the 1920s to the 1990s. The product incorporates soil information from a variety of map scales. The project has brought the individual county or regional municipality surveys together to reveal inconsistencies in soil data across county boundaries. The soil complex database contains other descriptive information including: * slope class * Canada Land Inventory (CLI) ranking * stoniness * drainage class * texture

Land capability for annual horticulture in the south west of Western Australia based on analysis and interpretation of the best available soil-landscape mapping dataset (DPIRD-027). Land capability refers to the ability of land to support a type of land use without causing damage. See DAFWA Resource Management Technical Report 298 for a description of the qualities assessed and the methodology involved. The assessment for annual horticulture covers the production of irrigated horticultural crops from plants with short-term life cycles (typically completed within the period of a year). Crops include annual fruits (strawberries, melons, etc.), vegetables (e.g. potatoes, lettuce, cabbages, tomatoes, pumpkins, etc.), commercial turf production and cut flowers. The assumptions for the land use as assessed include: • crops are grown for commercial production • crops are shallow-rooted with most roots using only the top 50 cm of soil • crops are irrigated using sprinkler or trickle systems • mechanised cultivation occurs at least annually • fertilisers and herbicides, fungicides and/or pesticides are broadcast at least annually • crop rotation is practised • considers physical requirements only and ignores socio-economic factors. Capability ratings do not take into account factors such as the availability and quality of water supplies for irrigation or climatic risks such as frost or heat stress. Such factors need to be considered as a separate layer of information.

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.