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 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://mffp.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).**

Map indexes are grids that divide the territory into several sheets for the whole of Quebec. The use of these indexes allows the identification of a map sheet number for a specific territory at the scale of 1/2,000, 1/20,000 and 1/100,000. The cartographic indexes come from the Quebec cartographic reference system (S.Q.R.C), which divides the territory into hierarchical units and at different scales (1/100,000, 1/20,000, 1/10,000, 1/10,000, 1/10,000, 1/10,000, 1/10,000, 1/5,000, 1/5,000, 1/5,000, 1/1,000). This system is compatible with the [**National Cartographic Reference System (S.N.R.C) **] (https://ressources-naturelles.canada.ca/sciences-terre/geographie/information-topographique/cartes/9766).**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

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 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*__. Formerly, forest maps were produced by the Land Survey Department of the Ministry of Lands and Forests. Some of these maps dating from 1924 to 1946 still exist and are carefully preserved in the National Archives of Quebec. The information they contain makes it possible to locate and characterize forest areas in certain regions of Quebec. Color codes were then assigned for each of the following classes: young forests, old forests, burned, logged, rocky, savannas, and colonization. These historical forest maps are available in two digital formats (PDF and TIFF).**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Canada is divided into 308 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 one year after its proclamation. The 2003 Representation Order (proclaimed on August 25, 2003) was based on 2001 Census population counts, and increased the number of FEDs to 308, up from 301 from the previous 1996 Representation Order. Ontario received three additional seats, while Alberta and British Columbia each gained two seats. The names of FEDs may change at any time through an Act of Parliament.

__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).**