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).**

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).**

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).**

Non-georeferenced model of downtown Montreal (2011) covering the electoral districts of Peter-McGill and Saint-Jacques (partially). The data under this model has no legal value.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

An accurate representation of the relief is essential for a large number of land management applications. Digital terrain models (DTM) and digital surface models (MNS) are simplified representations of ground altimetry. The MNT is a representation of the altitude of “bare ground” without infrastructure, while the MNS reproduces the shape of the Earth's surface by including all the permanent and visible elements of the landscape such as the ground and buildings. It is possible to add vegetation by including the [Numerical Canopy Model (MNC)] (/city-of-montreal/model-numerique-de-canopee-mnc).**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

The numerical canopy model (MNC) is a representation of the altitude of the canopy. This 3D representation of the arboreal vegetation corresponds to the 2015 2D canopy. If necessary, the MNC can be coupled with the [Numerical Surface Model (MNS)] (/city-of-montreal/numeric-surface-model) 2015 in order to obtain more detailed coverage.**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, among other things, numerical terrain (DTM) and surface (MNS) 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/?pos=@-69.01196,50.56983&ctx=_telechargement&layers=236id,0v,38z;275id,272pid,1v,6z&groups=272id,T%C3%A9l%C3%A9chargement%20-%20Lidar%20(nuages%20de%20points)t,5z,1v,1e) can also download this data on this platform. **This third party metadata element was translated using an automated translation tool (Amazon Translate).**

High-resolution relief data produced from LiDAR surveys and limited to crop plots are particularly useful in the agricultural sector since they make it possible to model surface drainage in order to identify drainage problems or the risks of soil erosion. Agronomic interpretation will take advantage of this information not only in the form of the numerical terrain model and the shading, but also with the level curves, flow paths and basins located inside the cultivated plots, as delimited by the database of declared agricultural plots and productions (BDPPAD) of the Financière Agricole du Québec (FADQ). Level curves of 1 m covering the entire treated territory excluding cultivated plots (agricultural, forest, urban, etc.) are also available. These new data are the result of a collaboration between the MRNF and the MAPAQ, and they are offered thanks to the open valorization of data initially derived from LiDAR to the MRNF Forest Inventory Directorate (DIF). We hope that this data will support better soil and water management interventions, in order to mitigate the consequences of climate change, and to promote sustainable agriculture.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**