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We have found 766 datasets for the keyword "imagery". You can continue exploring the search results in the list below.
Datasets: 103,466
Contributors: 42
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766 Datasets, Page 1 of 77
Footprints Yukon Composite 150 cm
::: (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: :::
Imagery Base Land Cover
IBL - Imagery, basemaps, and land cover (imageryBaseMapsEarthCover) Basemaps. For example, resources describing land cover, topographic maps, and classified and unclassified images
Satellite Imagery - GOES-East
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.
Satellite Imagery - GOES-West
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.
Monthly Fraction of Vegetation Cover of Canada from Medium Resolution Satellite Imagery
FCOVER corresponds to the amount of the ground surface that is covered by vegetation, including the understory, when viewed vertically (from nadir). FCOVER is an indicator of the spatial extent of vegetation independent of land cover class. It is a dimensionless quantity that varies from 0 to 1, and as an intrinsic property of the canopy, is not dependent on satellite observation conditions. This product consists of a national scale coverage (Canada) of monthly maps of FCOVER indicator during a growing season (May-June-July-August-September) at 20m resolution.References:L. Brown, R. Fernandes, N. Djamai, C. Meier, N. Gobron, H. Morris, C. Canisius, G. Bai, C. Lerebourg, C. Lanconelli, M. Clerici, J. Dash. Validation of baseline and modified Sentinel-2 Level 2 Prototype Processor leaf area index retrievals over the United States IISPRS J. Photogramm. Remote Sens., 175 (2021), pp. 71-87, https://doi.org/10.1016/j.isprsjprs.2021.02.020. https://www.sciencedirect.com/science/article/pii/S0924271621000617Richard Fernandes, Luke Brown, Francis Canisius, Jadu Dash, Liming He, Gang Hong, Lucy Huang, Nhu Quynh Le, Camryn MacDougall, Courtney Meier, Patrick Osei Darko, Hemit Shah, Lynsay Spafford, Lixin Sun, 2023.Validation of Simplified Level 2 Prototype Processor Sentinel-2 fraction of canopy cover, fraction of absorbed photosynthetically active radiation and leaf area index products over North American forests,Remote Sensing of Environment, Volume 293, https://doi.org/10.1016/j.rse.2023.113600.https://www.sciencedirect.com/science/article/pii/S0034425723001517
Footprints Yukon Aerial Imagery
Footprints for all imagery in the Government of Yukon [Aerial Imagery Service](https://open.yukon.ca/data/yukon-aerial-imagery-most-recent).Distributedfrom [GeoYukon](https://yukon.ca/geoyukon) by the [Government of Yukon](https://yukon.ca/maps). Discover more digital mapdata and interactive maps from Yukon's digital map data collection.For moreinformation: [geomatics.help@yukon.ca](mailto:geomatics.help@yukon.ca).
New Brunswick Imagery
Digital orthorectified imagery acquired at a variety of image resolutions, available in New Brunswick Stereographic Double Projection (NBSDP).
Minnie Lake, Alberta - Bathymetry, Digital Elevation Model (Arc ASCII grid format)
All available bathymetry and related information for Minnie Lake were collected and hard copy maps digitized where necessary. The data were validated against more recent data (Shuttle Radar Topography Mission 'SRTM' imagery and Indian Remote Sensing 'IRS' imagery) and corrected where necessary. The published data set contains the lake bathymetry formatted as an Arc ascii grid. Bathymetric contours and the boundary polygon are available as shapefiles.
Lower Kananaskis Lake, Alberta - Bathymetry, Digital Elevation Model (Arc ASCII grid format)
All available bathymetry and related information for Lower Kananaskis Lake were collected and hard copy maps digitized where necessary. The data were validated against more recent data (Shuttle Radar Topography Mission 'SRTM' imagery and Indian Remote Sensing 'IRS' imagery) and corrected where necessary. The published data set contains the lake bathymetry formatted as an Arc ascii grid. Bathymetric contours and the boundary polygon are available as shapefiles.
Historic forest airborne imagery
Historical forest airborne imagery corresponds to an annual collection of orthophotographs, acquired by aerial overview in order to meet the needs of the ecoforest inventory of southern Quebec (IEQM) and the global forest planning cycle (operational forest planning, forest planning, forest monitoring and forest activity controls). These images serve, among other things, to feed the process of photo-interpretation and production of the ecoforest map essential for sustainable forest management, as well as the overall forest planning cycle.Historical orthophotographs are assembled into mosaics. Each mosaic groups together the images from an acquisition project that have the same shooting year, the same spatial resolution and the same spectral bands. Mosaics have been produced since 2002 for ecoforest inventory and since 2004 for planning, monitoring and control images. The spatial resolution is generally 20, 21 or 30 cm (with a few exceptions of 50 and 63 cm) for the images that make up the mosaics of the ecoforest inventory, while it is much more variable for the planning, monitoring and control images (from 4 to 150 cm). Spectral bands and colors of images vary: black and white (panchromatic [PAN]), infrared (IRP), or natural (red, green, and blue colors [RGB]).The images used to produce the mosaics are spread over almost all of Quebec, south of the 52nd parallel. They are acquired in a cycle of about 10 years for the IEQM and annually for the needs of the global forest planning cycle. Note that imagery acquired through partnerships has been excluded due to their more restrictive broadcast license.The orthophotography mosaics of the ecoforest inventory are available for download in three formats depending on the territory (JPEG 2000, ECW and GeoTIFF) and are also accessible for visualization using a web mapping service (WMTS). Note that the orthophotography mosaics for planning, monitoring and controls are only available for viewing and not for download. **This third party metadata element was translated using an automated translation tool (Amazon Translate).**
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