The Atlas of Canada High Speed Internet Network map illustrates the availability of high-speed internet across Canada in 2024. High speed internet service is broken up into 4 download speeds in Megabits per second. 25 Mbps, 50 Mbps, 100 Mbps, and Gigabit (940 Mbps). It features an inset map and a bar graph that provide additional insights. The inset map shows the percentage of population in each province with access to 50 Mbps internet. The bar graph shows the percent of population without access 50 Mbps internet by year, dating back to 2018.The Atlas of Canada High Speed Internet Network map is shown at a scale of 1:6 000 000. It is part of the new Atlas of Canada series, which features a shared look and feel across all map products to ensure consistency in design and layout. This map supports the Communication and Transportation theme, one of five core themes featured in the renewed Atlas of Canada web presence at atlas.gc.ca. The common design helps make Atlas of Canada products easier to read, compare, and use together across the Atlas collectionUse the Atlas of Canada site to find places, digital maps, facts, geographical information and learning resources about Canada.Source: Canadian Radio-television and Telecommunications Commission (CRTC), 2025. Current trends - High-speed broadband. https://crtc.gc.ca/eng/publications/reports/PolicyMonitoring/ban.htmIf you have questions about CRTC data, e-mail info@crtc.gc.ca.Produced by the Canada Centre for Mapping and Earth Observation, the Geoscience and Earth Monitoring Sector, Natural Resources Canada. 2025.

Stream Centreline Network derived from 1:50,000 scale mapping. Each stream channel is represented by one or more line segments. Based on the 1:50,000 scale Canadian National Topographic Series of Maps.

The Canadian long term satellite data record (LTDR) derived from 1-km resolution Advanced Very High Resolution Radiometer (AVHRR) data was produced by the Canada Center for Remote Sensing (CCRS). Processing included: geolocation, calibration, and compositing using Earth Observation Data Manager (Latifovic et al. 2005), cloud screening (Khlopenkov and Trishchenko, 2006), BRDF correction (Latifovic et. al., 2003), atmosphere and other corrections as described in Cihlar et. al. (2004). For temporal analysis of vegetation cross-sensor correction of Latifovic et al. (2012) is advised. Data collected by the AVHRR instrument on board the National Oceanic and Atmospheric Administration (NOAA) 9,11,14,16,17,18 and 19 satellites were used to generate Canada-wide 1-km 10-day AVHRR composites. Data are available starting in 1985. It is important to note that there are three types of AVHRR sensors: (i) AVHRR-1 flown onboard TIROS-N, NOAA-6, NOAA-8, and NOAA-10; (ii) AVHRR-2 flown onboard NOAA-7, NOAA-9, NOAA-11, NOAA-12, and NOAA-14; and (iii) AVHRR-3 currently operational onboard NOAA-15, NOAA-16, NOAA-17, NOAA-18 and NOAA-19. The AVHRR-1 has four channels, AVHRR-2 has five channels and the AVHRR-3 has six channels, although only five channels of AVHRR-3 can be operational at any one time. As such, channels 3A (1.6 m) and 3B (3.7 m) work interchangeably. The processing procedure was designed to minimize artefacts in AVHRR composite images. There are thirty six 10-day image composites per year. The following three processing levels are provided: P1) top of atmosphere reflectance and brightness temperature, P2) reflectance at surface and surface temperature and P3) reflectance at surface normalized to a common viewing geometry (BRDF normalization). The processing level P1 and P2 are provided for all 36 composites while level P3 is provided for 21 composites from April – October.

This is a spatial layer showing Ministry of Forests Radio Communication Sites. Communication Sites are physical land locations containing structures and equipment which provide two or one-way voice and or data wireless communications to field staff or for operational activities

The Atlas of Canada’s Wireless Data Network map illustrates the availability of LTE and 5G wireless data service across Canada in 2024. It features an inset map and a bar graph that provide additional insights. The inset map shows the percentage of population in each province with access to 5G service. The bar graph shows the percent of population without access 5G service by year, dating back to 2020.The Atlas of Canada Wireless Data Network map is shown at a scale of 1:6 000 000. It is part of the new Atlas of Canada series, which features a shared look and feel across all map products to ensure consistency in design and layout. This map supports the Communication and Transportation theme, one of five core themes featured in the renewed Atlas of Canada web presence at atlas.gc.ca. The common design helps make Atlas of Canada products easier to read, compare, and use together across the Atlas collection.Use the Atlas of Canada site to find places, digital maps, facts, geographical information and learning resources about Canada.Source: Canadian Radio-television and Telecommunications Commission (CRTC), 2024.Current trends - Mobile wireless. https://crtc.gc.ca/eng/publications/reports/PolicyMonitoring/mob.htmIf you have questions about CRTC data, e-mail info@crtc.gc.ca.Produced by the Canada Centre for Mapping and Earth Observation, the Geoscience and Earth Monitoring Sector, Natural Resources Canada. 2025.

The Moderate Resolution Imaging Spectroradiometer (MODIS ) is one of the most sophisticated sensors that is used in a wide range of applications related to land, ocean and atmosphere. It has 36 spectral channels with spatial resolution varying between 250 m and 1 km at nadir. MODIS channels 1 (B1, visible) and 2 (B2, near infrared) are available at 250 m spatial resolution, an additional five channels for terrestrial applications (bands B3 to B7) are available at 500 m spatial resolution, the other twenty-nine channels not included in this data set capture images with a spatial resolution of 1 km. The MODIS record begins in March 2000 and extends to present with daily measurements over the globe. This level 3 product for Canada was created from the following original Level 1 (1B) MODIS data (collection 5): a) MOD02QKM - Level 1B 250 m swath data, 5 min granules; b ) MOD02HKM - level 1B , 500 m swath data, 5 min granules; c) MOD03 - level 1 geolocation information, 1 km swath data, 5 min granules. All these data are available from the DAAC Earth Observing System Data Gateway (NASA http://ladsweb.nascom.nasa.gov/data/search.html). The terrestrial channels MODIS (B3 to B7) at 500 m spatial resolution were reduced to 250 m with an adaptive regression system and normalization described in Trishchenko et al. (2006, 2009), and the data were mapped using a Lambert Conformal Conic (LCC ) projection (Khlopenkov et al., 2008). These data were combined to form pan-Canadian images using a technique for detection of clear sky, clouds and cloud shadows with a maximum interval of 10 days (Luo et al., 2008). Atmospheric and sun-sensor geometry corrections have not been applied. For each date, data include forward and backward scattering observations as separate files. This allows data to be optimized for a given application. For general use, data from either forward or backward scattering or both should be used. Future release of the MODIS time series will correct the forward and backward scattering geometry to provide a single best observation for each pixel.

Highway Planning and Design's 2016 Manitoba Road Network.The 2016 Manitoba Road Network was created by Manitoba Infrastructure --> Highway Engineering--> Highway Planning and Design. The department’s linear referencing system (LRS) uses Control Sections as a linear referencing method (LRM). The LRM is the digital representation of the Highway Network in Manitoba. The features indicate highway number and highway identity. This data was corrected using 1:60,000 digital ortho aerial photography dated from 1991-1998. Linear features have been updated on a yearly basis using GPS data, CAD files and 50cm imagery from 2007-2014, and is considered accurate to two-to-seven metres. Please note that this feature layer primarily contains only the roads that Manitoba Infrastructure is responsible for, i.e. Provincial Trunk Highways, Provincial Roads and Access Roads. However, you may also see Earth Roads (under construction) or Other roads (such as those passing through national parks and are federal responsibility). A newer version of this data is available: Manitoba Road Network 2018. Field List - FIELD NAME (Field Alias (i.e. display name)) in parenthesis) OBJECTID (OBJECTID) - Sequential, unique whole numbers are automatically generated. SHAPE (SHAPE) - A field to hold geometry information. ID (ID) - Unique Identifier generated by Oracle. CS_ID (Control Section ID) - Non unique identifier linking segment to its respective control section. ROAD_NO_SIGNED (Road Number Signed) - The road number. Note though, that in the case of co-routes, the lower highway number appears. This is a text field and differs from ROAD_NO only where there are city routes, for example 1A. ROAD_LOCATION (Road Location) - Access Road locations. DESCRIPTION (Road Description) - A text description of the start and end locations of each segment. CS_KEY (Control Section Key) - An information rich key containing Region (two digits), Road Number (three digits), Section number (three digits), the Road Type (one character), and direction of travel (one character). REGION_NO (MI Region) - The Manitoba Infrastructure region the segment is in. Regions 1-5. ROAD_NO (Road Number) - The road number. Note co-routes will have the lesser highway number. SECTION_NO (Section Number) - The control section's section number. START_KM (Start Kilometre (KM)) - The beginning of the Control Section (always zero). END_KM (End Kilometre (KM)) - The number of kilometres to the end of the Control Section. LENGTH_KM (Length Kilometres (KM)) - End Kilometre minus the Start Kilometre. ROAD_TYPE (Road Type) - The road type, i.e. PTHs, PRs, and Access Roads (Earth roads under construction may also be included). ROAD_DIRECTION (Road Direction) - A = ahead direction on a divided highway (i.e. following the digitizing direction), B = Back direction on a divided Highway (i.e. against the digitizing direction, and U= an undivided highway. ROAD_IDENTITY (Road Identity) - Road identity i.e. Provincial Road, Earth Road, Access Road and Other Road. NATIONAL_HIGHWAY_CLASS (National Highway Classification) - The national highway classification standard. START_DATE (Start Date) - The date the segment was created in the database. INVENTORY_YEAR (Inventory Year) - The year the road segment was opened to the public. SHAPE_Length (Segment Length) - An automatically generated length field based on geometry.

The transport features of the CanVec series are derived from the National Road Network (NRN) and the National Railway Network (NRWN). The dataset describes roads, trails, bridges, railroads and their related information. The transport features include nautical facilities, track segments, track junctions, railway stations, track crossings, track marker posts, track structures, rail ferry segments, road segments, road ferry segments, road junctions, blocked passages, toll points, aerial cableway features, footbridges, trails, navigational aids, marinas and runways.The CanVec multiscale series is available as prepackaged downloadable files and by user-defined extent via a Geospatial data extraction tool.Related Products (Open Maps Links):[Topographic Data of Canada - CanVec Series](https://open.canada.ca/data/en/dataset/8ba2aa2a-7bb9-4448-b4d7-f164409fe056)

UTC - Utility and communication networks (utilitiesCommunication) Energy, water and waste systems, and communications infrastructure and services. For example, resources describing hydroelectricity; geothermal, solar, and nuclear sources of energy; water purification and distribution; sewage collection and disposal; electricity and gas distribution; data communication; telecommunication; radio; and communication networks.

The spatial representation for current Timber Supply Areas (TSA). A Timber Supply Area is a designated area established by the Ministry in order to practice sound, integrated, resource management principles to improve the allowable annual cuts. TSAs were originally defined by an established pattern of wood flow from management units to the primary timber-using industries. They are the primary unit for allowable annual cut (AAC) determination.