Administrative boundaries of sectors, boroughs and cities.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Rate of mineralization and vegetation of surfaces in the territory of the agglomeration of Montreal represented by polygons and based on the data [Mineral and vegetable surfaces of 2016] (https://donnees.montreal.ca/dataset/surfaces-minerales-vegetales) from the Geomatics Division of the City of Montreal. The data was calculated at the district level and at the level of the distribution islands of Statistics Canada. The data can also be consulted on the [interactive climate change vulnerability map] (https://experience.arcgis.com/experience/944e0b7104bd491591ccca829da24670/page/Page/).**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Buffer zone of 300 meters around the railways present on the territory of the city. Used in public safety analyses. **Collection context** Derived from the layer of railways in the territory of the city of Saint-Hyacinthe. **Collection method** Buffer zone of 300 meters. Spatial analysis. **Attributes** * `Id` (`long`): Identifier For more information, consult the metadata on the Isogeo catalog (OpenCatalog link).**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Geometric and conventional representation of electrical transmission lines for planning purposes. Geospatial data from power lines represents only the core infrastructure and is structured according to the following layers of information: - CARTO-SER-ELECTRICITY: A concrete base on which a structure used to support high-voltage electrical cables is based. - Carto-Ser-Ele-Tel-Aerien: suspended electrical cable. Symbolic representation, from center pylon to center pylon. These elements form part of the layers in the digital cartographic compilation.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Hydrographic surfaces cut within the official boundaries of the Montreal Metropolitan Community, including the territory of the Kahnawake reserve and excluding the agglomeration of Montreal. This dataset is complementary to the data from the [hydrography of the Montreal agglomeration] (https://donnees.montreal.ca/dataset/hydrographie). They are made available for use in a basemap to put the agglomeration of Montreal into context.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Polygonal layer of electoral districts for the 2025 election. New balancing of voters increases the number of districts from 11 to 10 for the 2025 election. **Collection context** Review committee to balance the districts according to the data of the Chief Electoral Officer. **Collection method** Analysis of voters by address using cartographic analysis software. Update by computer-aided mapping. **Attributes** * `ID_SEC_DISTRICT_ELEC` (`integer`): Identifier * `DISTRICT_NAME` (`varchar`): District name * `NO` (`integer`): Number * `AREA` (`varchar`): Area * `ADVISOR_NAME` (`varchar`): Recommended * `SOURCE` (`varchar`): Source * `DATE_CREATION` (`smalldatetime`): Created on * `DATE_MODIFICATION` (`smalldatetime`): Modified on * `USER_MODIFICATION` (`varchar`): Modified by For more information, consult the metadata on the Isogeo catalog (OpenCatalog link).**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

The blue shark (Prionace glauca), is a species found in Atlantic Canadian waters which is commonly encountered in commercial and recreational fisheries. Pop-up Satellite Archival Tags (PSAT) and Smart Position and Temperature tag (SPOT) from Wildlife Computers were applied to blue sharks from 2004 to 2008 to collect data on depth (pressure), temperature and ambient light level (for position estimation). Deployments were conducted in Canada on commercial and recreational vessels from mid-August to early October, but mostly in September. A variety of tag models were deployed: PAT 4 (n=16), Mk10 (N=28), and SPOT3 (N=2) and 39 of 46 tags reported. The blue sharks tagged ranged in size from 124 cm to 251 cm Fork Length (curved); 30 were female, 15 were male and 1 was unknown sex. Time at liberty ranged from 4 – 210 days and 16 tags remained on for the programmed duration. Raw data transmitted from the PSAT’s after release was processed through Wildlife Computers software (GPE3) to get summary files, assuming a maximum swimming speed of 2m/s, NOAA OI SST V2 High Resolution data set for SST reference and ETOPO1-Bedrock dataset for bathymetry reference. The maximum likelihood position estimates are available in .csv and .kmz format and depth and temperature profiles are also in .csv format. Other tag outputs as well as metadata from the deployments can be obtained upon request from: warren.joyce@dfo-mpo.gc.ca or heather.bowlby@dfo-mpo.gc.ca.

The West Nile virus (WNV) activity zone corresponds to the territory where WNV cases have been documented by human, animal, and entomological (mosquito) surveillance. This zone indicates where there is a higher probability of the virus being present in Quebec based on historical data. All surveillance data was aggregated to form the WNV's area of activity over the study period, by merging the 2 km resolution buffer zones and the municipalities of each mosquito case or batch. Outside of this area, the presence of WNV remains possible, but the virus has not been detected by surveillance. This can be explained, among other things, by the movements of infected birds and mosquitoes over varying distances. The climatic zone favorable to the transmission of WNV by Culex pipiens (one of the main vectors of the virus) highlights the territory where the estimated seasonal average temperature could be conducive to the transmission of WNV in Quebec. This zone is defined by a seasonal average temperature (calculated from April to September) greater than or equal to 14°C. The indicator was calculated for historical records 1989-2018 (current distribution) and for the horizons of 2030, 2050 and 2080 according to the greenhouse gas emissions scenarios SSP2-4.5 and SSP3-7.0 (future distribution). Seasonal mean temperatures were calculated during the WNV's active period (i.e. April to September) by adding up the daily maximum and minimum temperatures and then dividing them by two. These temperatures were generated with a resolution of 10 km x 10 km covering the whole of Quebec for time horizons and greenhouse gas emission scenarios. The final value for seasonal mean temperatures used is the 50th percentile. For more information on the area of activity of the WNV or the climatic zones favorable to the transmission of WNV by Culex pipiens, you can consult the [Mapping of the current and future distribution of the West Nile virus in Quebec in the context of climate change] (https://www.inspq.qc.ca/publications/3693) OR the INSPQ website [Current and future distribution maps of zoonoses in Quebec] (https://www.inspq.qc.ca/zoonoses/cartes).**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

In 2019, the Earth Observation Team of the Science and Technology Branch (STB) at Agriculture and Agri-Food Canada (AAFC) repeated the process of generating annual crop inventory digital maps using satellite imagery to for all of Canada, in support of a national crop inventory. A Decision Tree (DT) based methodology was applied using optical (Landsat-8, Sentinel-2) and radar (RADARSAT-2) based satellite images, and having a final spatial resolution of 30m. In conjunction with satellite acquisitions, ground-truth information was provided by: provincial crop insurance companies in Alberta, Saskatchewan, Manitoba, & Quebec; point observations from the PEI Department of Environment, Water and Climate Change and data collection supported by our regional AAFC Research and Development Centres in St. John’s, Kentville, Charlottetown, Fredericton, and Guelph.

In 2014, the Earth Observation Team of the Science and Technology Branch (STB) at Agriculture and Agri-Food Canada (AAFC) repeated the process of generating annual crop inventory digital maps using satellite imagery to for all of Canada, in support of a national crop inventory. A Decision Tree (DT) based methodology was applied using optical (Landsat-8) and radar (RADARSAT-2) based satellite images, and having a final spatial resolution of 30m. In conjunction with satellite acquisitions, ground-truth information was provided by provincial crop insurance companies and point observations from the BC Ministry of Agriculture and our regional AAFC colleagues.