Map of Canada showing locations of facilities selling nautical charts in both paper and digital formats.

This dataset includes all MPMO projects at various stages in the review process, including those that are currently undergoing review and those that have completed a review.

This data set presents the places of interest in the City of Montreal according to the classification carried out as part of the Montreal on Foot (MàP) initiative in 2020. The Montréal à Pied project aims to improve orientation and pedestrian paths throughout Montreal. Although the data concern the territory of the boroughs, places of interest may be located on the territory of linked cities for a better coherence of geographic information.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

__The link: *Access the data directory* is available in the section*Dataset Description Sheets; Additional Information*__. The Forest Inventory Directorate of the Ministry of Natural Resources and Forests (MRNF) began, in 2021, the production of data that indicates the strength of forest vegetation based on the NBR vegetation index * (Normalized Burn Ratio) *. These data are produced from images from Sentinel-2A/B satellites. The purpose of the layer thus produced is to present a regional portrait, at a given date, of the strength of forest vegetation, at the pixel scale. Before integrating these data into forest planning, it is recommended to plan validation work by photo-interpretation or by means of field visits. It should also be noted that these data are complementary to the other existing data layers (ecoforestry data, fires, harvesting and reforestation, defoliation records from aerial overflights, etc.).**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Canada is divided into 338 electoral districts. A representative or member of Parliament is elected for each electoral district. Following the release of population counts from each decennial census, the Chief Electoral Officer determines the number of seats in the House of Commons and publishes the information in the Canada Gazette. Electoral boundaries commissions then determine the adjustments to the constituency boundaries. The federal electoral boundaries commissions are independent bodies that make all decisions regarding the proposed and final federal electoral boundaries. Elections Canada provides support services to the boundaries commission in each province. Based on reports from these commissions, the Chief Electoral Officer prepares a representation order that describes the boundaries and specifies the name and the population of each FED. The representation order is in force on the first dissolution of Parliament that occurs at least seven months after its proclamation. The 2013 Representation Order (proclaimed on October 5, 2013) was based on 2011 Census population counts, and increased the number of FEDs to 338, up from 308 from the previous 2003 Representation Order. Ontario received fifteen additional seats, Alberta and British Columbia each gained six seats while Quebec added three seats. On June 19, 2014, the Riding Name Change Act, 2014 (Bill C-37) received Royal Assent changing the names of 31 FEDs. The names of FEDs may change at any time through an Act of Parliament.

The Geographic and Administrative Database is available at scales of 1/1,000,000 (BDGA1M) and 1/5,000,000 (BDGA5M). It provides a geographic and administrative base on a small scale for the whole of Quebec. The data is the result of an automatic generalization of the vectors of a database on a scale of 1/250,000, and from a geometric and thematic purification. Data from territories outside Quebec must be used and considered with some reservations, taking into account the date they were updated and the classifications used. Administrative boundaries also come from the generalization of data at a scale of 1/250,000 on major hydrographic axes. This database brings together: * Major hydrographic complexes; * Transport and hydroelectric infrastructures; * The main agglomerations and centers of occupation; * The limits of major administrative divisions. For more information on the various data layers, consult the physical data structure documents (scales of [1/1,000,000] (https://diffusion.mern.gouv.qc.ca/diffusion/RGQ/Documentation/BDGA_1M/Structure_physique_BDGA1M.pdf) or [1/5,000,000] (https://diffusion.mern.gouv.qc.ca/diffusion/RGQ/Documentation/BDGA_5M/Structure_physique_BDGA5M.pdf)).**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

__The link: * Access the data directory* is available in the section*Dataset description sheets; Additional information*__. Ecoforest maps in PDF format are available at a scale of 1/20,000 and cover Quebec territory approximately up to the 52nd parallel. Each map covers an average area of approximately 250 km2 and presents forest information for the territory concerned. Its accuracy is approximately 10 meters. These maps are an image of the current ecoforest map for the corresponding year. __Maps 2021, 2022, 2023 and 2024__ The maps 2021, 2022, 2023, as well as those of 2024 are produced from the up-to-date ecoforest map of the corresponding year. It represents the result of the photo-interpretation of aerial photographs taken during the 4th and 5th ecoforestry inventories of southern Quebec to which were added natural disturbances (fires, epidemics, windfalls, etc.) and forest interventions (harvesting and reforestation) carried out in the public forest following the year in which the picture was taken. According to the maps, data using the forest stand inventory approach (AIPF) is included when available for a complete sheet. Main components: type of vegetation (forest species group, density class, class of density, class of height, age class, etc.) or type of AIPF vegetation (detailed forest species, density (%), height (m), age class, etc.); slope class; class of slope; nature of the terrain (peatlands, height class, age class, etc.); topography (level curves); fragmentation. __2019 and 2020 maps__ The 2019 maps, as well as those of 2020, are produced from up-to-date ecoforest maps of the corresponding year. They represent the result of the photo-interpretation of aerial photographs taken during the 4th and 5th ecoforestry inventories of southern Quebec to which were added natural disturbances (fires, epidemics, windfalls, etc.) and forest interventions (harvesting and reforestation) carried out in the public forest following the year in which the photo-interpretation of aerial photographs from the 4th and 5th ecoforestry inventories of southern Quebec were taken. An update is then carried out taking into account natural disturbances (fires, epidemics, windfalls, etc.) and forest interventions (harvesting and reforestation) carried out in public forests. The information presented corresponds to the current ecoforest map of 2019 or 2020 as the case may be. On each of the maps, the name of the stands is expressed by the group of species. Main components: type of vegetation (forest species, density, height, height, age class, etc.); slope class; nature of the terrain (peatlands, gravel, etc.); hydrography (lakes, rivers, streams, streams, swamps, etc.); transport network and swamps, etc.); transport network and bridges; topography (level curves); fragmentation. __Maps 2015__ The 2015 maps are produced from the photo-interpretation of aerial photographs from the 3rd and 4th ecoforest inventories of southern Quebec. An update is then carried out taking into account natural disturbances (fires, epidemics, windfalls, etc.) and forest interventions (cutting and planting) carried out in public forests. The information presented corresponds to the 2015 updated ecoforest map. MAP FOR PRINTING (GEOREFERENCED)**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

The 1 cm resolution vegetation digital height model was extracted using a bare earth model and digital surface model (DSM) derived from unmanned aerial vehicle (UAV) imagery acquired from a single day survey on July 28th 2016, in Cambridge Bay, Nunavut. The mapping product covers 525m2 and was produced by Canada Centre for Remote Sensing /Canada Centre for Mapping and Earth Observation. The UAV survey was completed in collaboration with the Canadian High Arctic Research Station (CHARS) for northern vegetation monitoring research. For more information, refer to our current Arctic vegetation research: Fraser et al; "UAV photogrammetry for mapping vegetation in the low-Arctic" Arctic Science, 2016, 2(3): 79-102. http://www.nrcresearchpress.com/doi/abs/10.1139/AS-2016-0008

The 1 cm resolution digital surface model (DSM) was created from unmanned aerial vehicle (UAV) imagery acquired from a single day survey, July 28th 2016, in Cambridge Bay, Nunavut. Five control points taken from a Global Differential Positioning System were positioned in the corners and the center of the vegetation survey. The DSM covering 525m2 was produced by Canada Centre for Remote Sensing /Canada Centre for Mapping and Earth Observation. The UAV survey was completed in collaboration with the Canadian High Arctic Research Station (CHARS) for northern vegetation monitoring research. For more information, refer to our current Arctic vegetation research: Fraser et al; "UAV photogrammetry for mapping vegetation in the low-Arctic" Arctic Science, 2016, 2(3): 79-102. http://www.nrcresearchpress.com/doi/abs/10.1139/AS-2016-0008

__The link: *Access the data directory* is available in the section*Dataset Description Sheets; Additional Information*__. The Directorate of Forest Inventories (DIF) carries out assessments of tree biomass and their carbon content at the scale of ecoforest stands to deepen knowledge on the contribution of forests in the global carbon cycle. This information can be useful in the context of climate change to document the mitigating role played by forests. The resulting product, a database containing a single table entitled “BIOMASSE_CARBONE_PEE_ORI_PROV”, shows the biomass and carbon values of living trees above ground for all productive ecoforest stands 7 m or more in height. The exploitation of the database requires the data from [the original ecoforest map] (https://www.donneesquebec.ca/recherche/dataset/resultats-d-inventaire-et-carte-ecoforestiere) and the establishment of a connection with the information of the polygonal entity class of settlements. The database includes biomass variables converted to carbon stocks, detailing the biomass of wood, bark, branches, and foliage. For a thorough understanding, you can consult the Read Me associated with this product and the publication [“Biomass and carbon forests in southern Quebec - Method and use”] (https://mrnf.gouv.qc.ca/nos-publications/biomasse-carbone-forestiers-quebec-meridional/) (MRNF, 2023) which offers additional methodological information.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**