Dataset of building footprints in the Yukon Territory. Building footprints were extracted from LiDAR orthophotos using deep learning. Manual corrections were applied to both erroneous and missed building extractions. The Regularize Building Footprint tool was used to reduce vertices and simplify the footprints. A tolerance of 1 was used, with a precision of 0.25.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)

Inventory of building footprints in the City of Rouyn-Noranda.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

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.

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

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.

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)

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).

Footprint and location of parks in the City of Repentigny.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

The Alberta Human Footprint Monitoring Program (AHFMP) is collaboration between the following organizations: Alberta Environment and Parks (AEP) The Alberta Biodiversity Monitoring Institute (ABMI) Alberta Agriculture and Forestry (AAF) Alberta Energy Regulator (AER) Alberta Energy (AE) Various non-government organizations. The goal of the AHFMP is to improve the accuracy of the human footprint data and to focus expertise from the various organizations on a single footprint product. Currently AEP and ABMI co-lead the program. The AHFMP stratifies footprint features into footprint sublayers based on logical groupings. Roads, oil and gas well pads, rail lines, gravel pits, agriculture fields are examples of sub layers. Where possible, the AHFMP will obtain features for these sub layers directly from authoritative sources. In some of these cases the data authority are responsible for the distribution of the sub-layer. Only when the features are not available from an authoritative source will the AHFMP create their own data. When this occurs, the AHFMP will work with subject matter experts (SMEs) from various organizations to ensure the features are digitized and attributed correctly. AEP has completed the following sub-layers in collaboration with ABMI and Alberta Energy. These are available for public use: Oil and Gas Well Pads (conventional and in situ) for 2014 and 2016 Road verges, surfaces and centre lines for 2014 only. Pipeline verges and centre lines for 2016. Other sub-layers will be added as they are completed. ABMI is also working on numerous sub layers that are available on their website.

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).**