The data layer (.shp) presented is the result of an unsupervised classification method for classifying seafloor habitat in the Bay of Fundy (Northwest Atlantic, Canada). This method involves separating environmental variables derived from multibeam bathymetry (slope, bathymetric position index), backscatter, and oceanographic information (wave-shear current velocity) into spatial units (i.e. image objects) and classifying the acoustically and oceanographically separated units into 7 habitat classes (Bedrock and Boulders, Mixed Sediments, Gravelly Sand, Sand, Silty Gravel with Anemones, Silt, and Tidal Scoured Mixed Sediments) using in-situ data (imagery). Benthoscape classes (synonymous to landscape classifications in terrestrial ecology) describe the geomorphology and biology of the seafloor and are derived from elements of the seafloor that were acoustically and oceanographically distinguishable. Reference: Wilson, B.R., Brown, C.J., Sameoto, J.A., Lacharite, M., Redden, A. (2021). Mapping seafloor habitats in the Bay of Fundy to assess macrofaunal assemblages associated with Modiolus modiolus beds. Estuarine, Coastal and Shelf Science, 252. https://doi.org/10.1016/j.ecss.2021.107294 Cite this data as: Wilson, B.R., Brown, C.J., Sameoto, J.A., Lacharite, M., Redden, A. Bay of Fundy Benthoscape. Published May 2023. Population Ecology Division, Fisheries and Oceans Canada, Dartmouth, N.S. https://open.canada.ca/data/en/dataset/dbabd17a-a2c7-4b3f-9bd8-a77a9c7f9c1c

The 2005 AAFC Land Use is a culmination and curated metaanalysis of several high-quality spatial datasets produced between 1990 and 2021 using a variety of methods by teams of researchers as techniques and capabilities have evolved. The information from the input datasets was consolidated and embedded within each 30m x 30m pixel to create consolidated pixel histories, resulting in thousands of unique combinations of evidence ready for careful consideration. Informed by many sources of high-quality evidence and visual observation of imagery in Google Earth, we apply an incremental strategy to develop a coherent best current understanding of what has happened in each pixel through the time series.

This data set shows utility lines that provide services for: * power * water * communications * heating fuel They include: * communication lines/submerged communication lines * hydro lines/submerged hydro lines * natural gas pipelines/submerged natural gas pipelines * water pipelines/submerged water pipelines * unknown pipelines * unknown transmission lines This product requires the use of geographic information system (GIS) software.

Units dividing the Columbia Basin in to BC Hydro reservoir-based watersheds

Bioterrain (TBT) contains polygons with key and amalgamated (concatenated) attributes derived from the RISC (Resource Inventory Standards Committee) standard attributes. TBT divides the landscape into units using the Terrain Classification System for British Columbia and ecological criteria. Polygon attributes include (but are not limited to) surficial material, surface expression, geomorphological processes, drainage class and aspect. TBT methods include manual air photo interpretation supported by selective field checking. Bioterrain mapping is integral to ecosystem mapping and its derivative products. This layer is derived from the STE_TEI_ATTRIBUTE_POLYS_SP layer by filtering on the PROJECT_TYPE attribute. Project types include: TEM, TEMNSS, TEMPRE, TEMSEI, TEMSET, TEMTSM, TBS, TBT, TEMWHR, TEMSDM, TEMPRW, and TEMSEW. Current version: v11 (published on 2024-10-03) Previous versions: v10 (published on 2023-11-14), v9 (published on 2023-03-01), v8 (published on 2016-09-01)

VIDEO FLIGHT POINTS are a specific GPS spatial point recorded during the video taping of the shoreline. They are represented by a specific latitude and longitude taken at a specific date and time. They are associated with a specific VIDEO SEGMENT and link to online Youtube video of the recorded flight.

This collection is a legacy product that is no longer supported. It may not meet current government standards. Land Cover information is the result of vectorization of raster thematic data originating from classified Landsat 5 and Landsat 7 ortho-images, for agricultural and forest areas of Canada, and for Northern Territories. The forest cover was produced by the Earth Observation for Sustainable Development (EOSD) project, an initiative of the Canadian Forest Service (CFS) with the collaboration of the Canadian Space Agency (CSA) and in partnership with the provincial and territorial governments. The agricultural coverage is produced by the National Land and Water Information Service (NLWIS) of Agriculture and Agri-Food Canada (AAFC). Northern Territories land cover was realized by the Canadian Centre of Remote Sensing (CCRS). Land Cover data are classified according to a harmonized legend build from the partner's legends. This legend is principally based on the legend described in following publication: EOSD publication: EOSD Land Cover Classification Legend Report, on which CFS and AAFC collaborated. Some classes related to Northern environments where added in order to meet the interpretation of the Northern land cover classification experts. Initially, Land Cover vector data are closest as possible to the source (original raster data). Slight differences can occur because the raster data goes through a data portrayal before being vectorized in order to enhance visual representation such as minimum size, smoothness of polygons and geometry.

A newer dataset developed in 2021, called Aquifer Vulnerability to Sea Water Intrusion, has replaced this version. This dataset remains available for download for comparison purposes. This dataset was developed as part of the Risk Assessment Framework for Coastal Bedrock Aquifers project completed by Simon Fraser University, for the BC Ministry of Environment and the BC Ministry of Forests, Lands and Natural Resource Operations. Features in the dataset show the vulnerability of coastal aquifers on the Gulf Islands to salt water intrusion, based on their intrinsic susceptibility (aquifer properties such as distance from the coast and topography) and groundwater pumping (well density and type of use). This [link](http://summit.sfu.ca/item/15778) refers to the Master of Science Thesis Report prepared by Jeanette Klassen in 2015 as a component of the collaborative study between Simon Fraser University and the Province of British Columbia.

The Land Planning Branch manages subdivision requests anywhere in Yukon, other than Whitehorse or Dawson. In order to divide or reconfigure any privately titled lot a subdivision approval is required. In the creation of new parcels from Yukon land, a subdivision application is made by Land Client Services, Land Management Branch on behalf of the applicant.     Subdivision applications are typically decided upon within a 90 day timeline. Notification is often provided to property owners in the application area as well as publicly in the form of newspapers. Decisions for approval include conditions which must be followed to receive survey plan approval. Contact subdivision land use planner for more information at [[land.planning@yukon.ca](.underline)](mailto:land.planning@yukon.ca) .     Features shown in this dataset are comprised of the project outlines only and don"t represent the proposed parcels or boundary alignments. They are derived from the surveyed parcel fabric or sketches provided by the applicants.     This dataset is maintained by the Land Management Branch.   Distributed from [GeoYukon](https://yukon.ca/geoyukon) by the [Government of Yuko](https://yukon.ca/maps) . Discover more digital map data and interactive maps from Yukon's digital map data collection. For more information: [geomatics.help@yukon.ca](mailto:geomatics.help@yukon.ca)

The Railroads layer delineates the estimated centreline of the rail lines within the City of Whitehorse. Data was modeled using the NENA NG9-1-1 GIS Data Template (NENA-REF-006. 2 -202 2 ). Distributed from [GeoYukon](https://yukon.ca/geoyukon) by the [Government of Yukon](https://yukon.ca/maps) . Discover more digital map data and interactive maps from Yukon's digital map data collection. For more information: [geomatics.help@yukon.ca](mailto:geomatics.help@yukon.ca)