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We have found 1,868 datasets for the keyword " historic satellite images quebec". You can continue exploring the search results in the list below.
Datasets: 103,380
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1,868 Datasets, Page 1 of 187
Canopy 2015
Cartography of the vegetation cover of Quebec City. The canopy represents the projection on the ground of the tops (crown) of trees (including leaves, branches, and trunks), which is visible from the sky. The data comes from two satellite images covering Quebec City taken by the Pléiades satellite pair on June 24 and July 13, 2015 (spatial resolution of 50 cm).**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
Canopy 2020
Cartography of the vegetation cover of Quebec City. The canopy represents the projection on the ground of the tops (crown) of trees (including leaves, branches, and trunks), which is visible from the sky. The data comes from an automated classification of two satellite images covering Quebec City by the pair of World-View-3 and Pléiades satellites acquired in July 2020 (spatial resolution of 31 cm) and from the 2017 Lidar survey of Quebec City.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
Satellite images - Sentinel-2 mosaics
These three satellite mosaics cover the entire territory of Quebec and include images taken in 2018, 2019 and 2020. The spectral bands are blue (band 2), near infrared (band 8), and short wave infrared (band 11).The Copernicus Sentinel-2 mission includes a constellation of two satellites in orbit that are in tandem and 180° apart from each other. The orbital configuration allows coverage with a revisit rate varying from two to ten days depending on the latitude. The Sentinel-2 constellation captures multispectral satellite images at a resolution of 10 m for the next generation of operational products, such as land use maps, land change detection maps, and geophysical variables. [Product Technical Specifications] (https://diffusion.mern.gouv.qc.ca/diffusion/RGQ/Matriciel/Satellite/Regional/Mosaiques_Sentinel-2/Document/Sentinel-2_User_Handbook.pdf)**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
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: :::
Quebec addresses
Important noteThe AQRéseau+ product, distributed in the Adresses Québec range, is evolving and is now available under the name of [Quebec Land Transport Repository (RQTT)] (https://www.donneesquebec.ca/recherche/dataset/referentiel-quebecois-du-transport-terrestre). Consult the product sheet for up-to-date data. The web service associated with AQRéseau+ remains available in this sheet until the RQTT web service is online.The transition of Adresses Québec products will continue until the end of 2026. For more information, see the [Frequently Asked Questions (FAQ)] document (https://diffusion.mern.gouv.qc.ca/diffusion/RGQ/Vectoriel/Documentation/AdressesQuebec/FAQ_Fin_diffusion_AQ.pdf).Adresses Quebec is a road geobase that covers all of Quebec. It offers a complete road network including official names, addresses by slices and points, information for route management, postal codes (MOs) and a cartographic context.The user guide is available at ** [next link] (https://diffusion.mern.gouv.qc.ca/diffusion/RGQ/Vectoriel/Documentation/AdressesQuebec/guide_utilisateurs.pdf) **.For more information on the full range of products, refer to the ** [directory of web services and geographic data] (https://mrnf.gouv.qc.ca/ministere/cartes-information-geographique/repertoire-services-web-donnees-geographiques/) ** of the MRNF.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
Annual Crop Inventory 2011
In 2011, the Earth Observation Team of the Science and Technology Branch (STB) at Agriculture and Agri-Food Canada (AAFC) expanded the process of generating annual crop inventory digital maps using satellite imagery to include British Columbia, Ontario, Quebec, and the Maritime provinces, in support of a national crop inventory. A Decision Tree (DT) based methodology was applied using optical (Landsat-5, DMC) and radar (RADARSAT-2) based satellite images, and having a final spatial resolution of 30m. In conjunction with satellite acquisitions, ground-truth information was provided by provincial crop insurance companies and point observations from our regional AAFC colleagues.
Annual Crop Inventory 2019
In 2019, the Earth Observation Team of the Science and Technology Branch (STB) at Agriculture and Agri-Food Canada (AAFC) repeated the process of generating annual crop inventory digital maps using satellite imagery to for all of Canada, in support of a national crop inventory. A Decision Tree (DT) based methodology was applied using optical (Landsat-8, Sentinel-2) and radar (RADARSAT-2) based satellite images, and having a final spatial resolution of 30m. In conjunction with satellite acquisitions, ground-truth information was provided by: provincial crop insurance companies in Alberta, Saskatchewan, Manitoba, & Quebec; point observations from the PEI Department of Environment, Water and Climate Change and data collection supported by our regional AAFC Research and Development Centres in St. John’s, Kentville, Charlottetown, Fredericton, and Guelph.
Mapping land occupancy in Quebec
This geographic reference system shows the mapping of land occupancy in Quebec. Land use is defined as physical and biological land cover. It includes artificial surfaces, agricultural areas, forests, forests, semi-natural areas, wetlands, and water bodies.This map covers the territory of southern Quebec and will be extended to northern regions in a later version. The data is generated by a semi-automated classification of high-resolution satellite images, which makes it possible to more accurately identify types of land use.Mapping is available in a unified matrix format. A metadata index as well as a [user guide] (https://diffusion.mern.gouv.qc.ca/diffusion/RGQ/Imagerie/COTQ/Documentation/guide-utilisation.pdf) presenting the data structure and land use classes are available to users.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
Annual Crop Inventory 2017
In 2017, the Earth Observation Team of the Science and Technology Branch (STB) at Agriculture and Agri-Food Canada (AAFC) repeated the process of generating annual crop inventory digital maps using satellite imagery to for all of Canada, in support of a national crop inventory. A Decision Tree (DT) based methodology was applied using optical (Landsat-8, Sentinel-2, Gaofen-1) and radar (RADARSAT-2) based satellite images, and having a final spatial resolution of 30m. In conjunction with satellite acquisitions, ground-truth information was provided by: provincial crop insurance companies in Alberta, Saskatchewan, Manitoba, & Quebec; point observations from the BC Ministry of Agriculture, & the Ontario Ministry of Agriculture, Food and Rural Affairs; and data collection supported by our regional AAFC Research and Development Centres in St. John’s, Kentville, Charlottetown, Fredericton, Guelph, and Summerland
Annual Crop Inventory 2018
In 2018, the Earth Observation Team of the Science and Technology Branch (STB) at Agriculture and Agri-Food Canada (AAFC) repeated the process of generating annual crop inventory digital maps using satellite imagery to for all of Canada, in support of a national crop inventory. A Decision Tree (DT) based methodology was applied using optical (Landsat-8, Sentinel-2) and radar (RADARSAT-2) based satellite images, and having a final spatial resolution of 30m. In conjunction with satellite acquisitions, ground-truth information was provided by: provincial crop insurance companies in Alberta, Saskatchewan, Manitoba, & Quebec; point observations from the BC Ministry of Agriculture, & the Ontario Ministry of Agriculture, Food and Rural Affairs; and data collection supported by our regional AAFC Research and Development Centres in St. John’s, Kentville, Charlottetown, Fredericton, Guelph, and Summerland
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