To support a wide range of efforts to understand the geographic context and historical conditions of the Indian residential schools sites for a wide range of stakeholders, Indigenous Services Canada has created a Web service to access and visualize historical aerial photography for those sites. The Historical aerial photography of Indian residential schools dataset contains digital scans of aerial photographs that were acquired from 1924 to 1998 over Indian Residential school sites and surrounding areas across Canada, as well as basic information about each photography and depicted site. The digital images were georeferenced, to match ground coordinates, saved in a resampled uncompressed raster format and compiled in a single mosaic layer. The dataset does not include the complete range of aerial photographs of each site. Instead, an attempt has been made to select a single optimal photograph for each site based on good photographic quality and the site's years of operation. In some cases no photograph is available, and in others a photograph was only available after the years of operation. The source scanned prints was obtained from the archives of the National Air Photo Library (NAPL) of Natural Resources Canada (NRCAN). This dataset should be considered evergreen as new information and photography sources are identified.It should be noted that this dataset can only be downloaded using ArcGIS and ArcPro software as well as other GIS software.

On July 6, a train of 72 cars, carrying 100 tons of crude oil each, exploded in Lac-Mégantic. A high-resolution aerial photograph was collected by Aéro-Photo after the train derailment. This aerial photograph was provided and georeferenced by Aéro-Photo (1961) inc. Purpose: This aerial photograph makes it possible to identify the impact radius of the accident. The image web service (WMS) is offered as an open service. However, to obtain the raw image, please contact Aéro-Photo (1961) inc.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

The Geomatics Division archives contain over 22,000 aerial photographs. The oldest date from 1930, but they are generally located between 1950 and 2003.The set provides a link to an interactive map allowing the download of aerial photographs from multiple years held by the City for the purposes of producing basic cartography. The images are available throughout the island of Montreal or partially depending on the years and scales of aerial photographs.An aerial photograph is a photograph taken from the air. Normally, these are taken vertically, on board an aircraft, using a highly accurate camera.NOTE1: The collection of the Geomatics Division is distinct from that of the Archives de Montréal.NOTE2: The City distributes the photographs in its possession. However, in In the event that a claimant has claims on this subject, he is invited to submit them to the City. NOTE3: Note that for paper-based archival images, the City generally does not have the original slides. Refer to the index for details.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

::: (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: :::

Historical Open Range - 1963-1994 is a polygon layer that depicts grasslands and shrublands (originally designated as 'on land deemed with no potential for growing trees'). Data were derived from a (retired) Provincial Forest Cover Polygon dataset which was interpreted from air photos. Photograph and interpretation dates range from 1963 to 1994. This dataset has value as temporal snapshots of ecosystems under siege from human and natural processes. Data is useful for identification and analysis of forest ingrowth into grasslands from fire suppression. Encroachment can shift over time, for example from changing climate and disturbance events, and this data provides one measure of that shift. Data may also inform location of wildfire safety buffers around communities.

Sightings data were collected by the Mingan Island Cetacean Study (MICS) from 1980 to 2008 with annual surveys realised in the Gulf of St. Lawrence between the end of may and early november. Surveys were conducted using inflatable boats enabling the close approaches necessary to photograph and biopsy blue whales.The aim of this project was to provide additional information for designating blue whale critical habitat as required under the Canadian Species at Risk Act.For more details consult the following report:Ramp, C. and Sears, R. 2013. Distribution, densities, and annual occurrence of individual blue whales (Balaenoptera musculus) in the Gulf of St. Lawrence, Canada from 1980-2008. DFO Can. Sci. Advis. Sec. Res. Doc. 2012/157. vii + 37 p.http://www.dfo-mpo.gc.ca/csas-sccs/Publications/ResDocs-DocRech/2012/2012_157-eng.htmlData of blue whale sightings, collected by the MICS, have been analysed per km of effort in 3 x 3 km grid cells in the Gulf of St. Lawrence for the 2000-2008 period.

IBL - Imagery, basemaps, and land cover (imageryBaseMapsEarthCover) Basemaps. For example, resources describing land cover, topographic maps, and classified and unclassified images

The data layer (.shp) presented is the result of an unsupervised classification method for classifying seafloor habitat on German Bank (off South West Nova Scotia, Canada). This method involves separating environmental variables derived from multibeam bathymetry (Slope, Curvature) and backscatter (principal components: Q1, Q2, and Q3) into spatial units (i.e. pixels) and classifying the acoustically separated units into 5 habitat classes (Reef, Glacial Till, Silt, Silt with Bedforms, and Sand with Bedforms) using in situ data (imagery). Benthoscape classes (synonymous to landscape classifications in terrestrial ecology) describe the geomorphology and biology of the seafloor and are derived from elements of the seafloor that were acoustically distinguishable.Unsupervised classifications (acoustic classifications) optimized at 15 classes using Idrisi CLUSTER method (pixel based)Number representing the benthoscape classes (CLASS) derived from in situ imagery and video (See Brown et al., 2012, Figure 3, Table 1).Benthoscape classes (See Brown et al., 2012, Figure 3).Reference:Brown, C. J., Sameoto, J. A., & Smith, S. J. (2012). Multiple methods, maps, and management applications: Purpose made seafloor maps in support of ocean management. Journal of Sea Research, 72, 1–13. https://doi.org/10.1016/j.seares.2012.04.009Cite this data as: Brown, C. J., Sameoto, J. A., & Smith, S. J. Data of: Benthoscape Map of German Bank. Published: February 2021. Population Ecology Division, Fisheries and Oceans Canada, Dartmouth, N.S. https://open.canada.ca/data/en/dataset/b7f81d4a-2cb6-4393-b35b-e536ec63e834

This point feature indicates the location of photo centre points during data capture for the Whitehorse Forest Inventory. 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.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)

Polygons containing the date of capture of the Landsat images used to create the first version of the Baseline Thematic Mapping v1 (BTM1). This spatial view is only meaningful in conjunction with the satellite images or the BTM data derived from the satellite images. The images were captured from 1990 to 1997