Average grid cell density is a polygon feature class containing the average density value for each grid cell per species/groups and season.

Survey transects is a line feature class containing transects completed in 2011.

Rate of mineralization and vegetation of surfaces in the territory of the agglomeration of Montreal represented by polygons and based on the data [Mineral and vegetable surfaces of 2016] (https://donnees.montreal.ca/dataset/surfaces-minerales-vegetales) from the Geomatics Division of the City of Montreal. The data was calculated at the district level and at the level of the distribution islands of Statistics Canada. The data can also be consulted on the [interactive climate change vulnerability map] (https://experience.arcgis.com/experience/944e0b7104bd491591ccca829da24670/page/Page/).**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

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).**

**Note that topographic maps at a scale of 1/100,000 are no longer updated. For the latest update date, see the [metadata] (ftp://transfert.mern.gouv.qc.ca/public/diffusion/RGQ/Documentation/BDAT/Metadonnees_BDAT100k_NordSud.xls). The reference map data is now constituted using a continuous information layer approach: ** * [AQNetwork+] (https://www.donneesquebec.ca/recherche/fr/dataset/adresses-quebec) * [Quebec Hydrographic Network Geobase (GRHQ)] (https://www.donneesquebec.ca/recherche/dataset/grhq) * [Administrative divisions on a scale of 1/20,000 (SDA)] (https://www.donneesquebec.ca/recherche/fr/dataset/decoupages-administratifs) * [Regional Coherent Hydro Digital Terrain Models (RTM)] (https://www.donneesquebec.ca/recherche/fr/dataset/modeles-numerique-de-terrain-hydro-coherents-a-l-echelle-regionale) ___ Topographic maps at a scale of 1/100,000 offer an overview of the occupation of Quebec territory at a scale of 1/100,000. A series in the south (266 sheets) and a series in the north (151 sheets) of the 53rd parallel cover the majority of Quebec. The data is less than 10 meters accurate and each file covers an area of approximately 4,000 km2, equivalent to 16 sheets at [a scale of 1/20,000] (https://www.donneesquebec.ca/recherche/fr/dataset/cartes-topographiques-a-l-echelle-de-1-20-000 “Topographic maps at a scale of 1/20,000”). Main components: * Hydrography (lakes of more than three hectares, permanent watercourses, swamps, etc.). * Vegetation (wooded areas and peatlands of more than 13 hectares). * The constructions of man: * transport infrastructures (passable roads, bridges, airports, etc.); * buildings larger than 12,500 m2; * equipment and designated areas. * The relief (level curves at an equidistance of 20 meters and elevation points). ##### Special features of the series south of the 53rd parallel * The data is obtained by generalizing map data at a scale of 1/20,000. Between the 51st and 53rd parallel, they are extracted from SPOT satellite imagery at 10 meters of resolution. * The data formats available for this series are: * ArcInfo cover (vector); * GeoTIFF, CCL projection (matrix); * GeoTIFF, MTM projection (matrix); * PDF (matrix). ##### Special features of the series north of the 53rd parallel * The data is obtained by generalizing cartographic data from Natural Resources Canada (CanVec product) at a scale of 1:50,000. Multi-source data, namely data from Adresses Québec, data on airports and hydrobases from the Ministère des Transports du Québec, and data on reservoirs from Hydro-Québec, increase the quality of this cartographic product on a scale of 1/100,000. * The data format available for this series is: * FGDB (vector).**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

This collection is a legacy product that is no longer maintained. It may not meet current government standards. Users of Atlas of Canada National Scale Data 1:15,000,000 (release of May 2017) should plan to make the transition towards the new CanVec product. The Atlas of Canada National Scale Data 1:15,000,000 Series consists of boundary, coast and coastal islands, place name, railway, river, road, road ferry and waterbody data sets that were compiled to be used for atlas small scale (1:15,000,000 to 1:30,000,000) mapping. These data sets have been integrated so that their relative positions are cartographically correct. Any data outside of Canada included in the data sets is strictly to complete the context of the data.

A towfish containing sidescan and video hardware was used to map eelgrass in two shallow northern New Brunswick estuaries. The sidescan and video data were useful in documenting suspected impacts of oyster aquaculture gear and eutrophication on eelgrass. With one boat and a crew of three, the mapping was accomplished at a rate of almost 10 km2 per day. That rate far exceeds what could be accomplished by a SCUBA based survey with the same crew. Moreover, the towfish survey applied with a complementary echosounder survey is potentially a more cost effective mapping method than satellite based remote sensing. Cite this data as: Vandermeulen H. Data of: Bay Scale Assessment of Eelgrass Beds Using Sidescan and Video - Richibucto 2007. Published: October 2017. Coastal Ecosystems Science Division, Fisheries and Oceans Canada, Dartmouth, N.S. https://open.canada.ca/data/en/dataset/ca7af8ba-8810-4de5-aa91-473613b0b38d

This collection is a legacy product that is no longer maintained. It may not meet current government standards. Users of Atlas of Canada National Scale Data 1:5,000,000 (release of May 2017) should plan to make the transition towards the new CanVec product. The Atlas of Canada National Scale Data 1:5,000,000 Series consists of boundary, coast, island, place name, railway, river, road, road ferry and waterbody data sets that were compiled to be used for atlas medium scale (1:5,000,000 to 1:15,000,000) mapping. These data sets have been integrated so that their relative positions are cartographically correct. Any data outside of Canada included in the data sets is strictly to complete the context of the data.

The Ontario Raw Point Cloud (Imagery-Derived) is elevation point cloud data created from aerial photography from the Geospatial Ontario (GEO) imagery program. It was created using a pixel-autocorrelation process based on aerial photography collected by the imagery contractor for the GEO imagery program. The dataset consists of overlapping tiles in LAZ format and is 6.29 terabytes in size. Tiles are overlapping because the pixel-autocorrelation process extracts elevation values from overlapping stereo photo strips. No classification has been applied to the point cloud, however they are encoded with colour (RGB) values from the source photography. This data is for geospatial tech specialists, and is used by government, municipalities, conservation authorities and the private sector for land use planning and environmental analysis. __Related data__ For a product in non-overlapping tiles with a ground classification applied, see the [Ontario Classified Point Cloud (Imagery-Derived)](https://geohub.lio.gov.on.ca/datasets/febf17330adb4100a22738e1684b5feb). Raster derivatives have been created from the point clouds for some imagery projects. These products may meet your needs and are available for direct download. For a representation of bare earth, see [Ontario Digital Elevation Model (Imagery-Derived)](https://geohub.lio.gov.on.ca/maps/mnrf::ontario-digital-elevation-model-imagery-derived/about). For a model representing all surface features, see the [Ontario Digital Surface Model (Imagery-Derived)](https://geohub.lio.gov.on.ca/maps/mnrf::ontario-digital-surface-model-imagery-derived/about).

LiDAR data collected in 2018 of water control structures in Tennaille, Newton, and Huff Lake in Saskatchewan, Canada. Includes Digital Terrain Models, Contours, and Orthorectified imagery. LiDAR Data to be used by AAFC to assess whether additional land control should be pursued and other hydrological studies including potential dam break failure scenarios.