These products are derived from RGB (red/green/blue) images, a satellite processing technique that uses a combination of satellite sensor bands (also called channels) and applies a red/green/blue (RGB) filter to each of them. The result is a false-color image, i.e. an image that does not correspond to what the human eye would see, but offers high contrast between different cloud types and surface features. The on-board sensor of a weather satellite obtains two basic types of information: visible light data (reflected light) reflecting off clouds and different surface types, also known as "reflectance", and infrared data (emitted radiation) which are short-wave and long-wave radiation emitted by clouds and surface features. RGBs are specially designed to combine this type of satellite data, resulting in an information-rich final product.Other products are based on the enhancement of channel data for a single wavelength, also aimed at highlighting meteorological features of the observed surface or clouds, but in a simpler way since only a single wavelength is involved. This older approach is still useful today, as its simplicity makes image interpretation easier in some cases.

These products are derived from RGB (red/green/blue) images, a satellite processing technique that uses a combination of satellite sensor bands (also called channels) and applies a red/green/blue (RGB) filter to each of them. The result is a false-color image, i.e. an image that does not correspond to what the human eye would see, but offers high contrast between different cloud types and surface features. The on-board sensor of a weather satellite obtains two basic types of information: visible light data (reflected light) reflecting off clouds and different surface types, also known as "reflectance", and infrared data (emitted radiation) which are long-wave radiations emitted by clouds and surface features. RGBs are specially designed to combine this type of satellite data, resulting in an information-rich final product. Four types of products are currently generated from the GOES-West and GOES-East satellites: "NightIR" and "NightMicrophysics", at 2km resolution, are generated 24 hours a day with infrared channels, so are visible both night and day, and "NaturalColour" and "DayCloudConvection", at 1km resolution, which combine visible light channels with infrared channels; their higher resolution makes the latter two products more popular, but they are not available during most of the night (between 02UTC and 07UTC for GOES-Est, and between 06UTC and 11UTC for GOES-Ouest) given the absence of reflected sunlight. Other RGB products should be added gradually in the future to meet different needs.

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

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.

Funded under DFO's Marine Conservation Targets Program, this optical imagery benthic survey captured 73 drift-camera transects from September 21, 2022 to October 3, 2024 in the Fundy Isles region of the lower, western Bay of Fundy, New Brunswick, Canada. The survey area includes the 'Head Harbour/West Isles Archipelago/The Passages' Ecologically and Biologically Significant Area (ESBA, ~113 km2), the Wolves Islands and Grand Manan Island. High-resolution still images (n=5081) were taken periodically throughout each transect, while continuous high-definition downward- and forward-facing video (~30 hours of each) was collected simultaneously. Distance travelled and distance between still images (m) was calculated using ArcGIS tools. Field of view (FOV) was estimated by measuring the length and width of a subset of still images (n=863) in ImageJ2, using 10-cm lasers for scale. FOV was standardized for each reported altitude. Transects ranged from 133 m to 2.6 km in length (~47 km surveyed in total), collecting imagery continuously for 3 minutes to more than 1 hour at a time, surveying depths from 15 to 188 m below chart datum. Transect locations were selected based on unique bathymetric features, areas previously predicted to have high habitat suitability for vulnerable marine ecosystem species, as well as proposed areas for inclusion in the regional marine conservation network plan.Additional information and imagery pertaining specifically to the 2022 datasets can be found at the following link in the Open Government Portal: https://open.canada.ca/data/en/dataset/8ea6c28a-3d6c-47ef-8cf7-56790ee0c7f5Cite this data as: Lawton P, Teed L. Near-seafloor drift transect video and high-resolution digital still imagery from a three-year survey in the Fundy Isles region of the lower, western Bay of Fundy. Published November 2025. Coastal Ecosystems Science Division, Fisheries and Oceans Canada, St. Andrews, N.B.

::: (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: :::

Location of flight lines of Yukon aerial photographs. Data was produced from heads up digitization of paper flight line index maps .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 includes the projected capacity, energy potential and cost of possible hydro sites throughout the Yukon. Other sites will be added as the data becomes available.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)

The Automatic Identification System (AIS) is a global, satellite-based and terrestrial-based ship tracking system that uses shipborne equipment to remotely track vessel identification and positional information and is typically required on vessels of 300 gross tonnage or more on an international voyage, of 500 gross tonnage or more not on an international voyage, and passenger ships of all sizes. AIS tracking technologies are primarily used in support of real-time maritime domain awareness and for maritime security and safety of life at sea. This report describes a geographic information system (GIS) analysis of 2019 AIS data to produce yearly and monthly vessel density maps of all vessel classes combined and yearly density maps of each vessel class. The year 2019 was selected to portray shipping densities in a pre-COVID 19 pandemic depiction of the maritime transport sector in the Northwest Atlantic. Vessel density map applications include use in spatial analysis and decision support for marine spatial planning.In 2023 the process was applied to the years 2013 through to 2022 and were made available using the same processes that were applied to the original 2019 datasets.

Land cover information is necessary for a large range of environmental applications related to climate impacts and adaption, emergency response, wildlife habitat, etc. In Canada, a 2008 user survey indicated that the most practical land cover data is provided in a nationwide 30 m spatial resolution format, with an update frequency of five years. In response to this need, the Canada Centre for Remote Sensing (CCRS) has generated a 30 m land cover map of Canada for the base year 2010, as well as this 2015 land cover map. This land cover dataset is also the Canadian contribution to the 30 m spatial resolution 2015 Land Cover Map of North America, which is produced by Mexican, American and Canadian government institutions under a collaboration called the North American Land Change Monitoring System (NALCMS). This land cover dataset for Canada is produced using observation from Operational Land Imager (OLI) Landsat sensor. An accuracy assessment based on 806 randomly distributed samples shows that land cover data produced with this new approach has achieved 79.90% accuracy with no marked spatial disparities.- [Land Cover of Canada - Cartographic Product Collection](https://open.canada.ca/data/en/dataset/11990a35-912e-4002-b197-d57dd88836d7)