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Found 10 records similar to Remote Sensing and Modelling, Ground-based Aerosol Vertical Profile, Oil Sands Region

Federal

Measurements of aerosol optical depth (AOD) using sunphotometers are being made in the oil sands region (at Fort McKay’s Oski-ôtin site, and Fort McMurray). AOD is a measure of the degree to which atmospheric aerosols absorb or scatter sunlight anywhere from the top of the atmosphere to the ground. These tiny solid or liquid particles can have natural or anthropogenic sources including dust, sea salt, smoke, or pollutants. Measurements of AOD made in the oil sands region can be compared with data collected at other Canadian locations from the AErosol RObotic CANadian (AEROCAN) network, such as Kelowna, BC; Lethbridge, AB; Bratt’s Lake and Waskesiu, SK; and Yellowknife, NT.

Last Updated: Jul. 21, 2019
Date Published: May 7, 2014
Organization: Environment and Climate Change Canada
Formats: CSV
Keywords:  Ambient air, oil sands, aerosols, satellite, remote sensing, modelling, Ground-based Aerosol Optical Depth, Oil sands, Air quality
Federal

Long Term Air Pollutant and Meteorological Monitoring at Fort McKay’s Oski-ôtin site: Validated data

Continuous monitoring of multiple air pollutants along with meteorological conditions began in Fort McKay at the Oski-ôtin site in August 2013. The purpose of Oski-ôtin’s enhanced monitoring is to gain a clearer picture of the mixture, transport and fate of air pollutants produced from the different oil sands related activities. Compared to the pre-existing monitoring conducted by Wood Buffalo Environmental Association (WBEA) in Fort McKay and throughout the region, the Oski-ôtin site provides measurements for a larger number of pollutants using research grade instruments (configured to be more precise at lower concentrations). Instruments located at this site also monitor pollutants, winds and temperatures at multiple heights above the ground.

Last Updated: Jul. 30, 2021
Date Published: Oct. 16, 2014
Organization: Environment and Climate Change Canada
Formats: HTML
Keywords:  Ambient air, ozone, acidifying gases, sulphur dioxide, particulate matter mass, PM composition, CAPMoN, filter pack, polycyclic aromatic compounds
Federal

Long Term Air Pollutant and Meteorological Monitoring at Fort McKay’s Oski-ôtin site: Preliminary data

Continuous and integrated monitoring of multiple air pollutants along with meteorological conditions began in Fort McKay at the Oski-ôtin site in August 2013. The purpose of Oski-ôtin’s enhanced monitoring is to gain a clearer picture of the mixture, transport and fate of air pollutants produced from the different oil sands related activities. Compared to the pre-existing monitoring conducted by Wood Buffalo Environmental Association (WBEA) in Fort McKay and throughout the region, the Oski-ôtin site provides measurements for a larger number of pollutants using research grade instruments (configured to be more precise at lower concentrations). Instruments located at this site also monitor pollutants, winds and temperatures at multiple heights above the ground.

Last Updated: Feb. 16, 2020
Date Published: Nov. 18, 2014
Organization: Environment and Climate Change Canada
Formats: HTML
Keywords:  Ambient air, ozone, total gaseous mercury, acidifying gases, sulphur dioxide, nitric acid, particle composition, particulate matter, PM composition
Federal

Air emissions from oil sands development can come from a number of sources including industrial smokestacks, tailings ponds, transportation, and dust from mining operations. Air quality monitoring under the Joint Canada-Alberta Implementation Plan for the Oil Sands is designed to determine the contribution of emissions from oil sands activities to local and regional air quality and atmospheric deposition both now and in the future. Ambient air quality data include:

  • Filter Pack (24-hour integrated concentrations of particle-bound SO2-4, NO-3, Cl-, NH+4, Ca2+, Mg2+, Na+, K+ and gaseous SO2 and HNO3 collected daily by the Canadian Air and Precipitation Monitoring Network)

  • Total Gaseous Mercury (hourly mixing ratios measured by the Canadian Air and Precipitation Monitoring Network and Prairie and Northern Region)

  • Atmospheric speciated mercury (Hg) (2-hour average concentrations of gaseous elemental Hg (GEM), reactive gaseous Hg (RGM), and Hg on PM2.5 (total particulate Hg - TPM)

  • Comprehensive set of measurements collected from an aircraft (various time resolutions) covering an area of 140,000 km2 over the oil sands region

  • Comprehensive set of measurements collected from the Fort McKay Oski-ôtin monitoring site

  • Ozone (hourly mixing ratios measured by the Canadian Air and Precipitation Monitoring Network)

  • Ozone Vertical Profiles (ozone mixing ratios as a function of height) measured by the Canadian Ozone Sonde Network

  • Aerosol Optical Depth (measure of the degree to which the presence of aerosols in the atmosphere prevents the transmission of light, from the ground to the top of the atmosphere) measured as part of the AErosol RObotic CANadian (AEROCAN) network

  • Satellite overpass data have a relatively high spatial resolution over the Oil Sands region to produce images and geo-referenced data of nitrogen dioxide (NO2) and sulphur dioxide (SO2) “vertical column density” (which correlates with surface concentration)

Last Updated: May 20, 2022
Date Published: May 7, 2014
Organization: Environment and Climate Change Canada
Formats: WMS HTML ESRI REST
Keywords:  Air - Quality, Provide Air Quality/UV Information Products and Services, Monitor Air Quality and UV Parameters and Manage Data, Prairie - Alberta (AB), Air quality, Oil sands
Provincial

The Ontario Point Cloud (Lidar-Derived) consists of points containing elevation and intensity information derived from returns collected by an airborne topographic lidar sensor. The point cloud is structured into non-overlapping 1 km by 1 km tiles in LAZ format. The following classification codes are applied to the data: * unclassified * ground * water * high noise * low noise This dataset is a compilation of lidar data from multiple acquisition projects, so specifications, parameters, accuracy and sensors may vary by project. This data is for geospatial tech specialists, and is used by government, municipalities, conservation authorities and the private sector for land use planning and environmental analysis.

Last Updated: Mar. 29, 2022
Date Published: Oct. 20, 2020
Organization: Government of Ontario
Formats: HTML other
Keywords:  Environment and Natural Resources, Government information
Federal

Forest Elevation(Ht) Stddev 2015Standard deviation of height of lidar first returns (m). Represents the variability in canopy heights. Products relating the structure of Canada's forested ecosystems have been generated and made openly accessible. The shared products are based upon peer-reviewed science and relate aspects of forest structure including: (i) metrics calculated directly from the lidar point cloud with heights normalized to heights above the ground surface (e.g., canopy cover, height), and (ii) modelled inventory attributes, derived using an area-based approach generated by using co-located ground plot and ALS data (e.g., volume, biomass).

Last Updated: Apr. 8, 2020
Date Published: Jan. 1, 2020
Organization: Natural Resources Canada
Formats: WMS PDF HTML ZIP
Keywords:  Forests
Federal

Forest Elevation(Ht) Mean 2015Mean height of lidar first returns (m). Represents the mean canopy height. Products relating the structure of Canada's forested ecosystems have been generated and made openly accessible. The shared products are based upon peer-reviewed science and relate aspects of forest structure including: (i) metrics calculated directly from the lidar point cloud with heights normalized to heights above the ground surface (e.g., canopy cover, height), and (ii) modelled inventory attributes, derived using an area-based approach generated by using co-located ground plot and ALS data (e.g., volume, biomass).

Last Updated: Apr. 8, 2020
Date Published: Jan. 1, 2020
Organization: Natural Resources Canada
Formats: WMS PDF HTML ZIP
Keywords:  Forests
Federal

The AAFC Infrastructure Flood Mapping in Saskatchewan 1 meter Bare Earth DEM are the bare earth DEMs created at a 1 m interval for the capture area of Saskatchewan. The bare earth DEM elevations were derived from a TIN surface model of the combined DTM Key Point and Ground classes in the LiDAR point cloud tiles. It should be noted that the grid point elevations have been interpolated from the LiDAR points and may contain greater uncertainty depending on the amount of interpolation performed.

Last Updated: Jul. 27, 2021
Date Published: Jul. 2, 2013
Organization: Agriculture and Agri-Food Canada
Formats: PDF GeoTIF
Keywords:  Topography
Federal

Description

In August 2013, NETCARE scientists conducted a campaign on the west coast of Vancouver Island, British Columbia, Canada. The goal of this campaign was to characterize the nature of ice nuclei in a marine environment. Measurements were conducted on the ambient levels of both deposition and immersion ice nucleating particles. Data was also collected to measure the physical and chemical properties of the ambient particles.

Last Updated: Jul. 27, 2021
Date Published: Aug. 20, 2018
Organization: Environment and Climate Change Canada
Formats: CSV
Keywords:  aerosols, climate, Arctic, climate
Provincial

The Ontario Digital Surface Model (DSM) (Lidar-Derived) Land Information Ontario dataset is a raster product that provides a representation of both surface and ground features derived from a classified lidar point cloud. A DSM is the highest reflective surface of features captured by the sensor. This surface is also referred to as the first reflective surface. The DSM may include: * treetops * rooftops and tops of towers * telephone poles * other natural or artificial features * ground surface if there is no vegetative ground cover The DSM data is available in 1 km by 1 km non-overlapping tiles grouped into packages for download.

Last Updated: Mar. 29, 2022
Date Published: Oct. 20, 2020
Organization: Government of Ontario
Formats: HTML other ZIP
Keywords:  Environment and Natural Resources, Government information
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