The digital terrain model (DTM) is a simplified representation of ground altimetry. The available data is in the form of an irregular triangular mesh (TIN). This is polygon numerical geographic data constructed by triangulating a set of points. The vertices are connected to a series of segments to form a mesh of triangles of different dimensions. This representation can be used as a basis for the 3D buildings of the digital base model.It should be noted that the data made available by the City is proposed for planning purposes and not for construction purposes given the associated decimeter details.The [3D buildings 2016 (LOD2 model with textures)]] (https://donnees.montreal.ca/ville-de-montreal/batiment-3d-2016-maquette-citygml-lod2-avec-textures2), the [2013 3D buildings (2013 3D buildings (CityGML LOD2 model with textures)] (/city-of-montreal/model-numeric-plateau-mont-royal-buildal-build2-buildings-lod2-with-textures), or the [3D buildings 2009 (CityGML LOD2 model with textures)] (/city-of-montreal/model-numeric-plateau-mont-royal-build2-buildings-lod2-with-textures), or the [3D buildings 2009 (CityGML LOD2 model with textures)] (/city-of-montreal/model-numerique-plateau-mont-royal-batiments-lod2-with-textures), or the [3D buildings 2009 (CityGML LOD2 model with textures)] (/city-of-montreal/model-numeric-s-citygml-lod2-with-textures) complement the digital terrain model in the urban territorial representation of Montreal.The [elevation data from aerial LiDAR] (/city-of-montreal/lidar-aerien-2015) are also available on the portal.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

The dataset shows the distribution and spatial extent of the 3D models that were created in the context of Canadian aquifers mapping projects from the Geological Survey of Canada.

Digital model of 3D LOD2 buildings with textures in CityGML and 3DM format of some boroughs of Montreal.The [digital terrain model (MNT)] (https://donnees.montreal.ca/dataset/modele-numerique-de-terrain-mnt) of these districts is also available to present the complete digital model of the territory.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Digital model of 3D LOD2 buildings with textures of the Le Sud-Ouest and Ville-Marie borough in CityGML and 3DM format.The [digital terrain model (MNT)] (/city-of-montreal/model-numerique-de-terrain-mnt) of the borough is also available to present the complete digital model of the territory.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Digital model of 3D LOD2 buildings with textures in CityGML, 3DM and GDB format and in DWG format without textures of some Montreal boroughs.[The digital terrain model (MNT)] (https://donnees.montreal.ca/ville-de-montreal/modele-numerique-de-terrain-mnt) of some districts is also available to present the complete digital model of the territory.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

To support improved groundwater geoscience knowledge for southern Ontario, a regional 3-D model of the surficial geology of southern Ontario has been developed as a part of a collaboration between the Ontario Geological Survey and the Geological Survey of Canada. Covering approximately 66,870 km2 in area, the model is a synthesis of existing geological models, surficial geology mapping, and subsurface data. The model is a simplified 9-layer reclassification of numerous mapped local surficial sediment formations in places over 200 m thick with a total volume of approximately 2,455 km3. The model integrates 1:50,000 scale surficial geology mapping with 90 m bathymetrically corrected topographic digital elevation model (DEM) and 8 existing local 3-D models. Archival subsurface data include 10,237 geotechnical and stratigraphic boreholes, 3,312 picks from geophysical surveys, 15,902 field mapping sites and sections, 537 monitoring and water supply wells and 282,995 water well records. Roughly corresponding to regional aquifer and aquitard layers, primary model layers are (from oldest to youngest): Bedrock, Basal Aquifer, Lower Sediment, Regional Till, Post Regional Till Channel Fill, Glaciofluvial Sediment, Post Regional Till Mud, Glaciolacustrine Sand and Recent Sediment / Organics. Modelling was completed using an implicit modelling application (LeapFrog®) complemented by an expert knowledge approach to data classification and rules-based Expert System procedure for data interpretation and validation. An iterative cycle of automated data coding, intermediate model construction and manual data corrections, expert evaluations, and revisions lead to the final 3-D model. A semi-quantitative confidence assessment has been made for each model layer surface based on data quality, distribution and density. This surficial geology model completes the development of a series of regional 3-D geological and hydrogeological models for southern Ontario.

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).**

This Shaded Relief Image has a resolution of 300 meters and was derived from the "Yukon 90m Shaded Relief" from Environment Yukon, the "Canada 3D" elevation model from Natural Resources Canada, and the United States Geological Survey "1:250k DEM of Alaska".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)

This data layer presents the results of a modeling of net anthropogenic inputs of nitrogen and phosphorus (NANI/NAPI) carried out by Professor Roxane Maranger and Stéphanie Shousha from the University of Montreal as part of a partnership with the Ministry of the Environment, the Fight against Climate Change, Wildlife and Parks (MELCCFP). The modeling was carried out using the Net Anthropogenic Nitrogen/Phosphorus Input method applied for the first time in Quebec by ([Goyette et al., 2016]) (https://can01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fagupubs.onlinelibrary.wiley.com%2Fdoi%2F10.1002%2F2016GB005384&data=05%7C02%7CAntoine.Prince%40environnement.gouv.qc.ca%7Ce9a3e849691c4a3f9bc008de4e23f624%7C4262d4ec5a674957abb6bf78aca6a6f5%7C0%7C0%7C639034113587157844%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C 0% 7C%7C%7C&sdata=a7ktxc6ea9u4thdsbor9ojrkspdjgwno%2Fbaizkkkuaq%3D&reserved=0)) then refined in ([Shousha & Maranger, 2024] (https://can01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fbesjournals.onlinelibrary.wiley.com%2Fdoi%2Ffull%2F10.1111%2F1365-2664.14733&data=05%7C02%7CAntoine.Prince%40environnement.gouv.qc.ca%7Ce9a3e849691c4a3f9bc008de4e23f624%7C4262d4ec5a674957abb6bf78aca6a6f5%7C0%7C0%7C639034113587193473%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=AdT31R8 IHMEEYRZZ1HGMTRTUAEE8XMRMAQBRNAUJDN 4% 3D&reserved=0)). The model is based on the premise that a region imports nitrogen and phosphorus to support its population and agricultural activities.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

3D topographic representation of the territory in the form of a point cloud.LiDAR (Light Detection and Ranging) technology makes it possible to represent the Earth's surface topographically in three dimensions using a laser system mounted on board an aircraft. The very large number of 3D points recorded (up to 400,000 per second) makes it possible to obtain a multitude of details at the level of the ground and surface elements.LiDAR technology quickly, easily, and above all accurately provides the altitude of ground details and elements above ground, even in the presence of dense vegetation.The uses are: creation of a digital terrain model (MNT), creation of level curves, creation of level curves, volume calculation, planning, calculation of tree heights, mapping of building roofs, 3D modeling of cities, etc.Source: XEOS Imaging Inc.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**