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We have found 87 datasets for the keyword "footprint". You can continue exploring the search results in the list below.
Datasets: 103,466
Contributors: 42
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87 Datasets, Page 1 of 9
Building footprints
Inventory of building footprints in the City of Rouyn-Noranda.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
Contiguously Settled Areas: Settlement footprints, 2010 and 2020
This product contains contiguously settled area (CSA) boundaries for a subset of Canadian population centres for 2010 and 2020.The CSA boundaries are derived from land cover data and represent the geographic extent of settled areas based on their physical footprint on the landscape. The boundaries can be used for reference, mapping and spatial analysis of settled areas and urban ecosystems.The CSA boundaries are created and maintained under the umbrella of the Census of Environment, and will support Statistics Canada’s ecosystem accounting efforts following the System of Environmental-Economic Accounting — Ecosystem Accounting (SEEA EA) framework. The primary purpose of the CSA boundaries is to represent the extent of the contiguous urban footprint and allow for the measurement of settled area expansion over time. They will also contribute to the urban and industrial ecosystem class in Statistics Canada’s ecosystem accounting efforts. The boundaries will be used for other types of urban ecosystem analyses, including measures of urban ecosystem condition and services. The CSA boundaries may also be used for urban thematic accounts or to inform where users of ecosystem services are located.Moving forward, CSA boundaries will be updated on an ongoing basis.
Maritimes Region Longline and Trap Gear Fisheries Footprint
Data layers show commercial fishery footprints for directed fisheries using bottom and pelagic longlines for groundfish and large pelagics respectively, and traps for hagfish, LFA 41 and Grey Zone lobster, snow crab, and other crab on the Scotian Shelf, the Bay of Fundy, and Georges Bank in NAFO Divisions 4VWX and Canadian portions of 5Y and 5Z. Bottom longline and trap fishery maps aggregate commercial logbook effort (bottom longline soak time and logbook entries) per 2-minute grid cell using 2002–2017 data. Pelagic longline maps aggregate speed-filtered vessel monitoring system (VMS) track lines as vessel minutes per km2 on a base-10 log scale using 2003–2018 data. The following data layers are included in the mapping service for use in marine spatial planning and ecological risk assessment: 1) multi-year and quarterly composite data layers for bottom longline and trap gear, and 2) multi-year and monthly composite data layers for pelagic longline gear. Additional details are available online: S. Butler, D. Ibarra and S. Coffen-Smout, 2019. Maritimes Region Longline and Trap Fisheries Footprint Mapping for Marine Spatial Planning and Risk Assessment. Can. Tech. Rep. Fish. Aquat. Sci. 3293: v + 30 p. http://publications.gc.ca/collections/collection_2019/mpo-dfo/Fs97-6-3293-eng.pdf
Interior Habitat Indicator for Alberta
Alberta Environment and Protected Areas developed an Interior habitat indicator for the province of Alberta. The indicator is the percentage area outside of a set distance from human footprint, and can be calculated for the entire province or a specific area where human footprint data are available. This dataset provides values for all Hydrologic Unit Code 8 (HUC 8) watersheds in Alberta for 2010, 2014, 2016 and 2018. The distance at which an area was considered interior habitat was estimated using rounded buffers from the edges of the wall-to-wall Human Footprint Inventories produced by the Alberta Biodiversity Monitoring Institute (ABMI).
Canadian Impact Assessment Registry – Assessment Inventory
The assessments layer represents all assessments undertaken under the Impact Assessment Act, including those that continue under the provisions of the Canadian Environmental Assessment Act, 2012. It includes assessments undertaken by the Impact Assessment Agency and other federal authorities as posted on the Canadian Impact Assessment Registry Internet site. The location of a given assessment included in the dataset is approximate and is based on information submitted by proponents, if applicable. More than one location may be identified for a given assessment. This dataset does not include information related to the footprint.Additional information about this dataset is available on the Canadian Impact Assessment Registry Internet site.
Parks
Footprint and location of parks in the City of Repentigny.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
Roads
Footprint of the elements of the roads of the City of Repentigny.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
Bedrock map index
A Yukon-wide compilation of map footprints and associated citation data for 191 published bedrock geology maps that were incorporated into the Yukon bedrock geology compilation. The maps were originally produced by the GSC, YGS, Yukon Government and various universities at various scales ranging from 1:10,000 to 1:500,000. Attribute data for each map footprint includes: year, scale, author, publisher, map number, NTS sheet and title.Distributed from [GeoYukon](https://yukon.ca/en/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)
Automatically Extracted Buildings
“Automatically Extracted Buildings” is a raw digital product in vector format created by NRCan. The feature classes of this product delineate polygonal building footprints automatically extracted from airborne Lidar data, high-resolution optical imagery or other sources.The first feature class, Automatically Extracted Buildings by acquisition source, contains building footprints delivered according to the spatial extent of each source dataset used for extraction. When the spatial extents of acquisition sources overlap, footprints for the same building may therefore be duplicated in this class.The second feature class, Optimized Buildings Layer, is an assembled and harmonized layer derived from the buildings by acquisition source. Its objective is to provide a unique representation of each building footprint by removing duplicates and resolving overlaps between sources.
buildings
Footprint of all buildings on the territory of the City of Repentigny.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
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