BC Airports identifies locations where aircraft may take-off and land. No guarantee is given that an identified point will be maintained to sufficient standards for landing and take-off of any/all aircraft. It includes airports, aerodromes, water aerodromes, heliports, and airstrips.

In July and August of 2019, a remotely piloted aircraft system (RPAS) project was undertaken in Canada’s western Arctic along the Inuvik to Tuktoyaktuk (ITH) and Dempster highways. The objective of this project was to test long-range RPAS missions for photogrammetric data acquisition and processing of these two Arctic highway corridors with embankments, bridges and culverts at risk of changing environmental and climatic regimes. The imagery was used to derive an orthomosaic and digital elevation model that could be used to measure road infrastructure and landscape change over time (e.g., fish habitat). The RPAS missions were conducted with a Griffon SeaHunter and full-frame DSLR sensor and scoped to obtain <10 cm spatial resolution imagery along a combined 396 linear km. The final deliverables covered over 22,000 ha and 29,000 ha for the ITH and Dempster Highways, respectively, and represent one of the first non-military beyond-visual-line-of-sight RPAS data products of its kind and scale in Canada, and likely elsewhere. At the time of collection the data constituted the most current and detailed photo surveys of two of Canada’s most northern highways constructed over ice-rich permafrost terrain, and will provide a valuable baseline to study past and future landscape change.

In July and August of 2019, a remotely piloted aircraft system (RPAS) project was undertaken in Canada’s western Arctic along the Inuvik to Tuktoyaktuk (ITH) and Dempster highways. The objective of this project was to test long-range RPAS missions for photogrammetric data acquisition and processing of these two Arctic highway corridors with embankments, bridges and culverts at risk of changing environmental and climatic regimes. The imagery was used to derive an orthomosaic and digital elevation model that could be used to measure road infrastructure and landscape change over time (e.g., fish habitat). The RPAS missions were conducted with a Griffon SeaHunter and full-frame DSLR sensor and scoped to obtain <10 cm spatial resolution imagery along a combined 396 linear km. The final deliverables covered over 22,000 ha and 29,000 ha for the ITH and Dempster Highways, respectively, and represent one of the first non-military beyond-visual-line-of-sight RPAS data products of its kind and scale in Canada, and likely elsewhere. At the time of collection the data constituted the most current and detailed photo surveys of two of Canada’s most northern highways constructed over ice-rich permafrost terrain, and will provide a valuable baseline to study past and future landscape change.

In 2022, the federal government launched the second phase of the Oceans Protection Plan, a vast interdepartmental program designed to enhance marine safety in Canada by improving our ability to prevent and respond to marine incidents. For the Canadian Wildlife Service (CWS) of Environment and Climate Change Canada (ECCC), this means filling gaps in our knowledge of marine and coastal bird species. In order to identify these gaps for the province of Quebec, we carried out a prioritization exercise in 2022. We concluded that major efforts needed to be made in the Nunavik marine region, since data were lacking in several sectors and for several species. Understanding the vulnerability of wildlife species over time and space will help us, among other things, to assess risks and act quickly and appropriately in the event of incidents affecting the marine environment, such as an oil spill or shipwreck. Another important objective of the Oceans Protection Plan is to implement sustainable partnerships with the Inuit in order to share our respective knowledge of migratory birds, develop joint projects and support Inuit-led marine bird projects.It is in this context that aerial inventories aimed at identifying avian diversity, counting seabirds and coastal birds and better understanding their distribution at different times of the year have been taking place in Nunavik since 2023. These inventories are particularly aimed at sites of large gatherings, such as molting and staging areas, where birds are more vulnerable. During flights, the crew scans the sea, bays, river mouths and coasts for single birds or groups of birds. When birds are spotted, the number of individuals is estimated and a formal identification is made to the most precise taxonomic level possible, usually species or genus. In some cases, particularly for species that are more difficult to identify or in the case of very large groups, high-resolution photographs are taken to confirm identifications and estimates of the number of individuals a posteriori. Where possible, individuals are identified by age and sex. For the purposes of these inventories, flight-capable birds are considered adults unless immature plumage is easily identifiable from a moving aircraft. Thus, most ducks, as well as shorebirds, are considered adults as soon as they are able to fly. Occasionally, the aircraft lands on the ground for short periods to allow the team to refine the identification of the species, genus and age of the birds. These observations are then included in the database. Observations made over land, during various trips, are also recorded opportunistically.Source to quote : Canadian Wildlife Service - Quebec Region. Aerial surveys of marine and coastal birds in Nunavik. Data collected as part of the Oceans Protection Plan. Version October 2025.

Geometric and conventional representation of airport facilities for planning purposes. The geospatial “aerodrome” data is structured according to the following layers of information:- CARTO-VOI-AERODROME-TRACK: A defined surface on earth intended to be used, in whole or in part, for the arrival, departure and maneuvers of aircraft.- CARTO-VOI-AERODROME-PARKING: A furnished area, off the airfield runway, intended for the parking of a certain number of aircraft.These elements form part of the layers in the digital cartographic compilation.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Airborne electromagnetic/magnetic survey data were acquired for the area between April 17 and April 30, 2015. The aircraft flight elevation was maintained at a nominal ground clearance of 83 m. Aircraft navigation used a 12-channel NovaTel dual frequency GPS. A vertically mounted video camera was used to record images of the ground. The radar height was recorded ten times per second using a Sperry unit and the barometric altitude was recorded ten times per second using a Motorola altitude transducer. The magnetic data were recorded 10 times per second using a Scintrex CS-2 cesium-vapor magnetometer.

Description:Data on recreational boating are needed for marine spatial planning initiatives in British Columbia (BC). Vessel traffic data are typically obtained by analyzing automatic identification system (AIS) vessel tracking data, but recreational vessels are often omitted or underrepresented in AIS data because they are not required to carry AIS tracking devices. Transport Canada’s National Aerial Surveillance Program (NASP) conducted aerial surveys to collect information on recreational vessels along several sections of the BC coast between 2018 and 2022. Recreational vessel sightings were modeled against predictor variables (e.g., distance to shore, water depth, distance to, and density of marinas) to predict the number of recreational vessels along coastal waters of BC.The files included here are:--A Geodatabase (‘Recreational_Boating_Data_Model’), which includes: (1) recreational vessel sightings data collected by NASP in BC and used in the recreational vessel traffic model (‘Recreational_Vessels_PointData_BC’); (2) aerial survey effort (or number of aerial surveys) raster dataset (‘surveyeffort’); and (3) a vector grid dataset (2.5 km resolution) containing the predicted number of recreational vessels per cell and predictor variables (‘Recreational_Boating_Model_Results_BC).--Scripts folder which includes R Markdown file with R code to run the modelling analysis (‘Recreational_Boating_Model_R_Script’) and data used to run the code.Methods:Data on recreational vessels were collected by NASP during planned aerial surveys along pre-determined routes along the BC coast from 2018 to 2022. Data on non-AIS recreational vessels were collected using video cameras onboard the aircraft, and data on AIS recreational vessels using an AIS receiver also onboard the aircraft. Recreational boating predictors explored were: water depth, distance to shore, distance to marinas, density of marinas, latitude, and longitude. Recreational vessel traffic models were fitted using Generalized Linear Models (GLM) R packages and libraries used here include: AED (Roman Lustrik, 2021) and MASS (Venables, W. N., Ripley, 2002), pscl package (Zeileis, Kleiber, and Jackman, 2008) for zeroinfl() and hurdle() function. Final model was selected based on the Akaike’s information criterion (AIC) and the Bayes’ information criterion (BIC). An R Markdown file with code use to run this analysis is included in the data package in a folder called Script. Spatial Predictive Model: The selected model, ZINB, consist of two parts: one with a binomial process that predicts the probability of encountering a recreational vessel, and a second part that predicts the number of recreational vessels via a count model. The closer to shore and to marinas, and the higher the density of marinas, the higher the predicted number of recreational vessels. The probability of encountering recreational vessels is driven by water depth and distance to shore. For more information on methodology, consult metadata pdf available with the Open Data record.References:Serra-Sogas, N. et al. 2021. Using aerial surveys to fill gaps in AIS vessel traffic data to inform threat assessments, vessel management and planning. Marine Policy 133: 104765. https://doi.org/10.1016/j.marpol.2021.104765Data Sources:Recreational vessel sightings and survey effort: Data collected by NASP and analyzed by Norma Serra to extract vessel information and survey effort (more information on how this data was analyzed see SerraSogas et al, 2021). Bathymetry data for the whole BC coast and only waters within the Canadian EEZ was provided by DFO – Science (Selina Agbayani). The data layer was presented as a raster file of 100 meters resolution. Coastline dataset used to estimate distance to shore and to clip grid was provided by DFO – Science (Selina Agbayani), created by David Williams and Yuriko Hashimoto (DFO – Oceans). Marinas dataset was provided by DFO – Science (Selina Agbayani), created by Josie Iacarella (DFO – Science). This dataset includes large and medium size marinas and fishing lodges. The data can be downloaded from here: Floating Structures in the Pacific Northwest - Open Government Portal (https://open.canada.ca/data/en/dataset/049770ef-6cb3-44ee-afc8-5d77d6200a12)Uncertainties:Model results are based on recreational vessels sighted by NASP and their related predictor variables and not always might reflect real-world vessel distributions. Any biases caused by the opportunistic nature of the NASP surveys were minimized by using survey effort as an offset variable.

LiDAR data was collected using LSI's proprietary Helix LiDAR system - Novatel GPS and SPANS inertial unit, coupled to a Riegl Q560 digital waveform ranging laser and mounted in a Cessna 185 aircraft. LiDAR was collected at 600m AGL, and a ground speed of 160km/h. Original data was in an ASCII XYZ coordinate format.

The Department of National Defence has designated Firing Practice and Exercise Areas off the coasts of Canada. Activities in these areas may include bombing practice from aircraft, air-to-air, air-to-sea or ground firing, and anti-aircraft firing, etc. In Atlantic Canada, the Nova Scotia Area includes sea area employments for sub-surface operations and firing exercises (FIREX). The Gulf of St. Lawrence Area, excluding the French territorial waters of Saint-Pierre et Miquelon, includes sea area employments for sub-surface operations and underwater demolition training. For full details, see the Notices to Mariners, Section F, National Defence Military Notices, available online: https://www.notmar.gc.ca/publications/annual-annuel/section-f/f35-en.pdf.Legal Constraints: Users should be aware that the polygons depicting firing practice and exercise areas are intended for illustration only and should not be used for navigational or legal purposes.

The DND Air Weapons Range dataset is comprised of all the polygons that represent the Air Weapons Range established by the Department of National Defence, Government of Canada, within the Province of Alberta. Air Weapons Range is the area used as a practice and firing range with restricted access provisions and which is owned and operated by the Department of National Defence, Government of Canada.