The LiDAR Point Clouds is a product that is part of the CanElevation Series created to support the National Elevation Data Strategy implemented by NRCan.This product contains point clouds from various airborne LiDAR acquisition projects conducted in Canada. These airborne LiDAR acquisition projects may have been conducted by NRCan or by various partners. The LiDAR point cloud data is licensed under an open government license and has been incorporated into the National Elevation Data Strategy.Point cloud files are distributed by LiDAR acquisition project without integration between projects.The point cloud files are distributed using the compressed .LAZ / Cloud Optimized Point Cloud (COPC) format. The COPC open format is an octree reorganization of the data inside a .LAZ 1.4 file. It allows efficient use and visualization rendering via HTTP calls (e.g. via the web), while offering the capabilities specific to the compressed .LAZ format which is already well established in the industry. Point cloud files are therefore both downloadable for local use and viewable via URL links from a cloud computing environment.The reference system used for all point clouds in the product is NAD83(CSRS), epoch 2010. The projection used is the UTM projection with the corresponding zone. Elevations are orthometric and expressed in reference to the Canadian Geodetic Vertical Datum of 2013 (CGVD2013).

This dataset represents the digital compilation of the Mineral Assessment Airborne surveys of the Province of Saskatchewan.This dataset represents the digital compilation of the Mineral Assessment Airborne surveys of the Province of Saskatchewan.  This data shows Mineral Assessment Work Catalogue: Outlines of areas and descriptions of work submitted for mineral assessment credits (Airborne surveys). This is an ongoing assemblage of mineral assessment airborne surveys. The data was created as a file geodatabase feature class and output for public distribution.**Please Note – All published Saskatchewan Geological Survey datasets, including those available through the Saskatchewan Mining and Petroleum GeoAtlas, are sourced from the Enterprise GIS Data Warehouse.  They are therefore identical and share the same refresh schedule.

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).**

This dataset provides the results obtained by Health Canada’s Radiological Monitoring Network (CRMN) for airborne radioactivity content at monitoring stations across Canada. More information about the CRMN network can be found on the Health Canada website (see link below). The results provided are activity concentration, uncertainty and the minimum detectable concentration for the naturally occurring radionuclides, beryllium-7 (7Be) and lead-210 (210Pb), and the anthropogenic (originating from human activity) radionuclides, cesium-134 (134Cs), cesium-137 (137Cs), and iodine-131 (131I). The data comes from the analysis of particulates accumulated in filter media, drawn by high-volume air samplers fixed in the field. Such data is typically dominated by natural radionuclides, such as 7Be and 210Pb. 7Be is a natural cosmogenic radionuclide that is produced in the upper atmosphere when cosmic rays bombard oxygen and nitrogen. 210Pb is also a natural radioisotope that results from the decay of uranium (238U) to radium (226Ra). 238U comes from the soil and eventually decays to 210Pb. Radon-222, which is a natural radioactive gas, is also a part of this decay chain. Radon moves through the soil and becomes diluted in the atmosphere. If a home is built on soil or rocks that contain uranium, radon can seep into homes and may accumulate to high levels. More information about the Health Canada radon program can be found on the Health Canada website. For all our stations, the airborne radioactivity data shows a small increase in the activity concentration of 134Cs, 137Cs and 131I measured between March and May of 2011, attributable to the nuclear accident at the Fukushima-Daiichi Nuclear Power Station. It is important to note that, even at their respective peaks, the measured activity concentrations of 134Cs, 137Cs and 131I represent only a small fraction of typical background exposure from natural sources of radiation. Occasionally, other small increases in activity concentration of anthropogenic radionuclides are observed. Spikes in 137Cs activity are often associated with forest fires, which can lead to the re-suspension of 137Cs already present in the environment, most likely from atmospheric nuclear weapons testing in the 1960’s. Detection of small amounts of 131I is commonly associated with its medical use by hospitals.The map shows the approximate sampling location for each monitoring station. Stations are found within the associated location range.

This map of the first vertical derivative of the magnetic field was derived from data acquired during an aeromagnetic survey carried out by Goldak Airborne Surveys during the period of May 16 to July 1, 2009. The data were recorded using a split-beam cesium vapour magnetometer mounted in the tail boom of a Piper Navajo aircraft. The nominal traverse and control line spacings were 400 m and 2400 m, respectively, and the aircraft flew at a nominal terrain clearance of 150 m.

The High Resolution Digital Elevation Model (HRDEM) product is derived from airborne LiDAR data (mainly in the south) and satellite images in the north. The complete coverage of the Canadian territory is gradually being established. It includes a Digital Terrain Model (DTM), a Digital Surface Model (DSM) and other derived data. For DTM datasets, derived data available are slope, aspect, shaded relief, color relief and color shaded relief maps and for DSM datasets, derived data available are shaded relief, color relief and color shaded relief maps.The productive forest line is used to separate the northern and the southern parts of the country. This line is approximate and may change based on requirements. In the southern part of the country (south of the productive forest line), DTM and DSM datasets are generated from airborne LiDAR data. They are offered at a 1 m or 2 m resolution and projected to the UTM NAD83 (CSRS) coordinate system and the corresponding zones. The datasets at a 1 m resolution cover an area of 10 km x 10 km while datasets at a 2 m resolution cover an area of 20 km by 20 km. In the northern part of the country (north of the productive forest line), due to the low density of vegetation and infrastructure, only DSM datasets are generally generated. Most of these datasets have optical digital images as their source data. They are generated at a 2 m resolution using the Polar Stereographic North coordinate system referenced to WGS84 horizontal datum or UTM NAD83 (CSRS) coordinate system. Each dataset covers an area of 50 km by 50 km. For some locations in the north, DSM and DTM datasets can also be generated from airborne LiDAR data. In this case, these products will be generated with the same specifications as those generated from airborne LiDAR in the southern part of the country.The HRDEM product is referenced to the Canadian Geodetic Vertical Datum of 2013 (CGVD2013), which is now the reference standard for heights across Canada.Source data for HRDEM datasets is acquired through multiple projects with different partners. Since data is being acquired by project, there is no integration or edgematching done between projects. The tiles are aligned within each project.The product High Resolution Digital Elevation Model (HRDEM) is part of the CanElevation Series created in support to the National Elevation Data Strategy implemented by NRCan. Collaboration is a key factor to the success of the National Elevation Data Strategy. Refer to the “Supporting Document” section to access the list of the different partners including links to their respective data.

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.

This dataset provides wall-to-wall maps of forest structure across Canada's 650 million hectare forested ecosystems for the year 2022, generated at a spatial resolution of 30 m. Structure estimates include key attributes such as canopy height, canopy cover, and aboveground biomass, derived using a combination of airborne lidar and Landsat-based spectral composites. Structure models were trained using the - lidar-plot framework - (Wulder et al. 2012), which integrates co-located airborne lidar data and ground plot measurements with Landsat time-series composites (Hermosilla et al. 2016). A Nearest Neighbour imputation approach was applied to estimate structural attributes across the full extent of Canada's forested area. These nationally consistent products are intended to support strategic-level forest monitoring and assessment and are not designed for operational forest management.For further details on the methods, accuracy assessment, and source data, see Matasci et al. (2018).Matasci, G., Hermosilla, T., Wulder, M.A., White, J.C., Coops, N.C., Hobart, G.W., Bolton, D.K., Tompalski, P., Bater, C.W., 2018. Three decades of forest structural dynamics over Canada's forested ecosystems using Landsat time-series and lidar plots. Remote Sensing of Environment, 216, 697-714. https://doi.org/10.1016/j.rse.2018.07.024 (Matasci et al. 2018)

This dataset provides wall-to-wall maps of forest structure across Canada's 650 million hectare forested ecosystems for the year 2022, generated at a spatial resolution of 30 m. Structure estimates include key attributes such as canopy height, canopy cover, and aboveground biomass, derived using a combination of airborne lidar and Landsat-based spectral composites. Structure models were trained using the - lidar-plot framework - (Wulder et al. 2012), which integrates co-located airborne lidar data and ground plot measurements with Landsat time-series composites (Hermosilla et al. 2016). A Nearest Neighbour imputation approach was applied to estimate structural attributes across the full extent of Canada's forested area. These nationally consistent products are intended to support strategic-level forest monitoring and assessment and are not designed for operational forest management.For further details on the methods, accuracy assessment, and source data, see Matasci et al. (2018).Matasci, G., Hermosilla, T., Wulder, M.A., White, J.C., Coops, N.C., Hobart, G.W., Bolton, D.K., Tompalski, P., Bater, C.W., 2018. Three decades of forest structural dynamics over Canada's forested ecosystems using Landsat time-series and lidar plots. Remote Sensing of Environment, 216, 697-714. https://doi.org/10.1016/j.rse.2018.07.024 (Matasci et al. 2018)

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.