The GEBCO_2014 Grid is classified as a historical Gebco dataset with a spatial resolution of 30 arc seconds. Originally published in 2014, last updated in April 2015. The data set is largely based on a database of ship-track soundings with interpolation between soundings guided by satellite-derived gravity data. Where they improve on this model, data sets generated from other methods are included. The grid is accompanied by a Source Identifier Grid (SID). This indicates if the corresponding cells in the GEBCO_2014 Grid are based on soundings, pre-generated grids or interpolation.

Digital terrain models offer a representation of the relief south of the 52nd parallel, in the form of an elevation matrix. This matrix makes it possible to visualize the territory in perspective and to perform three-dimensional spatial analyses, using appropriate software. A module specialized in three-dimensional data processing, such as 3D Analyst or Spatial Analyst, is required to visualize the digital altitude model in three dimensions. This digital altitude model (10-meter pixel matrix) is obtained by processing altimeter data (level curves and elevation points) from ** [topographic databases on a scale of 1/20,000] (https://www.donneesquebec.ca/recherche/fr/dataset/cartes-topographiques-a-l-echelle-de-1-20-000) **.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

These digital terrain models (DTM) offer a regional numerical representation of Quebec's relief based on altimetric (altitude) and planimetric (rectangular or geographic) data. They are the result of a collaboration between the Ministry of Natural Resources and Forests (MRNF) and Natural Resources Canada (NRCan) within the framework of the Agreement to produce an up-to-date digital map of northern Quebec and the creation of the product “National Hydro Network (RHN)” for the territory of Quebec. When integrated into a geographic information system, these models allow the implementation of multiple types of spatial analyses such as natural risks, landscape analysis, infrastructure implementation, etc. The MNTs are obtained as a result of hypsometric and hydrographic data processing that uses the concept of hydro-coherence consisting in interpolating altimetric values by ensuring a connected drainage network and an accurate representation of ridges and watercourses. The oriented RHN filament makes it possible to grade lakes and to control the altimeter descent of watercourses. The final product is a quality portrait of relief on a scale of 1/50,000. DNTs provide altitude values that are based on a grid with a resolution of 0.324 arcseconds in geographic coordinates, which corresponds to a resolution of about 10 meters in the field.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

A lidar dataset (*light detection and ranging*) is a collection of 3D points represented in the form of a point cloud, generated from laser surveys (airborne). Remote sensing by airborne laser or lidar refers to a remote sensing or optical measurement technology based on the analysis of the properties of laser light returned to its emitter. The coordinates of the lidar points correspond to the precise positions where the laser pulses emitted by the lidar sensor have been reflected by objects or surfaces. In other words, each lidar spot represents a specific location where the light beam touched a surface and returned to the sensor. These coordinates are expressed in three dimensions (X, Y, Z) and make it possible to create very detailed and accurate representations of the terrain. In particular, lidar data allows: * to generate numerical terrain (MNT), surface (MNS) and altitude (MNA) models; * to visualize the territory in perspective; * to perform three-dimensional spatial analyses for various needs, including: * the identification of areas potentially exposed to landslides and bank erosion; * landslide modeling; * the production of by-products and analyses of forest sectors; * the delimitation of flood zones. These datasets are the result of various intergovernmental collaborations, in particular with several ministries of the Government of Quebec, as well as with the federal government and the municipal sector. The geographic coverage corresponds to the information available on the download map and will be improved according to the availability of new data. In most cases, the data shown on this map corresponds to classified data. In the absence of classified data, but in the presence of raw data, it is the latter that will be presented on the map. Users of [*Open Forest*] (https://www.foretouverte.gouv.qc.ca/) can also download this data on this platform. **This third party metadata element was translated using an automated translation tool (Amazon Translate).**

This collection is a legacy product that is no longer supported. It may not meet current government standards. The North American Atlas data are standardized geospatial data sets at 1:10,000,000 scale. A variety of basic data layers (e.g. roads, railroads, populated places, political boundaries, hydrography, bathymetry, sea ice and glaciers) have been integrated so that their relative positions are correct. This collection of data sets forms a base with which other North American thematic data may be integrated. The North American Atlas data are intended for geographic display and analysis at the national and continental level. Any data outside of Canada, Mexico, and the United States of America included in the North American Atlas data sets is strictly to complete the context of the data.