Data has been collected primarily using a depth measurement device, such as an echo-sounder, in combination with a Global Positioning System (GPS) for horizontal positioning. Other survey methods, such as bathymetric LiDAR may also have been used. The survey method used in each body of water is shown in the [Bathymetry Index](https://geohub.lio.gov.on.ca/datasets/mnrf::bathymetry-index ).

This feature delineates enhanced vegetation, forest and cover attributes for the Whitehorse, Yukon area at a scale of 1:10,000. The field work for the inventory was carried out during the winter of 2004/2005 with the project delivered by the contractor in October 2005. Delineation was based on 1:10,000 black and white photography acquired by the City of Whitehorse in 2001. New mapping and DTM were available for this project based on that photography. Vegetation inventory polygons contain a variety of detailed information on, for example, the age and type of trees growing on the land base in the vicinity of Whitehorse.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)

Landsat Thematic Mapper (TM) and Enhanced Thematic Mapper (ETM+) sensors were used to generate the circa 2010 Mosaic of Canada at 30 m spatial resolution. All scenes were processed to Standard Terrain Correction Level 1T by the United States Geological Survey (USGS). Further processing performed by the Canada Centre for Remote Sensing included conversion of sensor measurements to top of atmosphere reflectance, cloud and cloud shadow detection, re-projection, selection of best measurements, mosaic generation ,noise removal and quality control. To provide a clear sky measurement for each location in Canada, data from the years 2009, 2010, and 2011 were used, but 2010 was preferentially selected. Bands 3 (0.63-0.69 µm), 4 (0.76-0.90 µm), 5 (1.55-1.75 µm), and 7 (2.08-2.35 µm) are provided in this version as significant atmosphere effects strongly limit the quality of the blue (0.45-0.52 µm) and green (0.52-0.60 µm) bands. Multi-criteria compositing was used for the selection of the most representative pixel. For ETM+ onboard Landsat 7 a scan line malfunction caused missing lines of data in all scenes collected after May 2003. Atmosphere and target variability between scenes cause these lines to have significant radiometric differences in some cases. A Fourier transformation approach was applied to correct this occurrence. This mosaic was developed for land cover and biophysical mapping applications across Canada. Other applications of these data are also possible, but should consider the temporal and spectral limitations of the product. Research to enhance the spatial, spectral and temporal aspects are in development for future versions of moderate resolution products from historical Landsat sensors, Landsat 8, and Sentinel 2 data.

The basking shark (Cetorhinus maximus), is a species found in Atlantic Canadian waters which is mostly encountered “basking” on the surface waters and sometimes caught accidentally in commercial fisheries. One Pop-up Satellite Archival Tag (PSAT Mk10) from Wildlife Computers was applied to a single female basking shark in September 2008 on a commercial vessel to collect data on depth (pressure), temperature and ambient light level (for position estimation). The basking shark was 610 cm Total Length (curved). The tag released on the pre-programmed date 125 days after deployment. Raw data transmitted from the PSAT’s after release was processed through Wildlife Computers software (GPE3) to get summary files, assuming a maximum swimming speed of 2m/s, NOAA OI SST V2 High Resolution data set for SST reference and ETOPO1-Bedrock dataset for bathymetry reference. The maximum likelihood position estimates are available in .csv and .kmz format and depth and temperature profiles are also in .csv format. Other tag outputs as well as metadata from the deployment can be obtained upon request from: warren.joyce@dfo-mpo.gc.ca or heather.bowlby@dfo-mpo.gc.ca.

::: (style="text-align:Left;")Footprints for all imagery in the Yukon Composite 150 cm Imagery Service. The Yukon Composite is a composite imagery basemap created from the most recent medium resolution SPOT-6/7 satellite images from the Government of Yukon satellite imagery repository.Distributed from GeoYukon by the Government of Yukon. Discover more digital map data and interactive maps from Yukon's digital map data collection. For more information: :::

Greenland halibut (Reinhardtius hippoglossoides) occupy deep waters off Newfoundland and Labrador and are a commercially important species. The Groundfish Section, Fisheries and Oceans Canada – Newfoundland and Labrador Region implemented an acoustic tagging program to better understand the movement and habitat use for this species. This program began in 2021, and was further developed as a results of two DFO Competitive Science Research Fund project between 2022-2026.Fish were caught via trawl or longline, VEMCO acoustic transmitters surgically implanted, and released at site of capture. Detections occurred from acoustic receivers deployed by the Groundfish section and/or from receiver arrays associated with the Oceans Tracking Network (e.g. Northern Cod Acoustic Telemetry Array [NCAT]). Raw detection data are downloaded from receivers and sent to the Ocean Tracking Network for formatting and archiving. Data provided here summarize reported detections from 2021-2024 as part of a master’s project at Memorial University of Newfoundland. Release locations, number and location of detections, defined movement class, and detection duration are summarized by individual. Location information includes the position of the receiver the fish was detected at, and the North Atlantic Fisheries Organization (NAFO) Divisions where fish were detected in.

As part of the development of a nationally-consistent sampling design within the Aquaculture Monitoring Program (AMP), this data reports mesozooplankton assemblages observed at nine coastal shellfish aquaculture sites, located across four DFO regions, with sampling across months, tide phases, and sampling locations. In most sites, strong spatial effects were observed, while tide effects were generally less important for structuring the mesozooplankton communities. Seasonality emerged as an essential factor to design an efficient monitoring program. This dataset represents the first large-scale Canadian coastal study using imaging technology for plankton taxonomic Identification.Cite this data as: Finnis, S., Guyondet, T., McKindsey, C.W., Arseneau, J., Barrell, J., Duhaime, J., Filgueira, R., Gallardi, D., Gaspard, D., Gibb, O., Goodwin, C., Hua, K., Macdonald, T., Milne, R., Lacoursière-Roussel, A. 2023. Guidance on sampling effort to monitor mesozooplankton communities at Canadian bivalve aquaculture sites using an optical imaging system. Can. Tech. Rep. Fish. Aquat. Sci. 3581: vii + 101 p

Bathymetry line data was collected to assess fish habitat in Ontario. Spot depths (bathymetry points) were used to measure the depth contours, which function like isobars to show lines of constant depth. Their density and positional accuracies vary depending on the survey style and parameters. This data should never be used for navigation.

A grid of cells covering the areas of New Brunswick where digital orthoimagery data has been collected.

Digital orthorectified imagery acquired at a variety of image resolutions, available in New Brunswick Stereographic Double Projection (NBSDP).