These products are derived from RGB (red/green/blue) images, a satellite processing technique that uses a combination of satellite sensor bands (also called channels) and applies a red/green/blue (RGB) filter to each of them. The result is a false-color image, i.e. an image that does not correspond to what the human eye would see, but offers high contrast between different cloud types and surface features. The on-board sensor of a weather satellite obtains two basic types of information: visible light data (reflected light) reflecting off clouds and different surface types, also known as "reflectance", and infrared data (emitted radiation) which are long-wave radiations emitted by clouds and surface features. RGBs are specially designed to combine this type of satellite data, resulting in an information-rich final product. Four types of products are currently generated from the GOES-West and GOES-East satellites: "NightIR" and "NightMicrophysics", at 2km resolution, are generated 24 hours a day with infrared channels, so are visible both night and day, and "NaturalColour" and "DayCloudConvection", at 1km resolution, which combine visible light channels with infrared channels; their higher resolution makes the latter two products more popular, but they are not available during most of the night (between 02UTC and 07UTC for GOES-Est, and between 06UTC and 11UTC for GOES-Ouest) given the absence of reflected sunlight. Other RGB products should be added gradually in the future to meet different needs.

These products are derived from RGB (red/green/blue) images, a satellite processing technique that uses a combination of satellite sensor bands (also called channels) and applies a red/green/blue (RGB) filter to each of them. The result is a false-color image, i.e. an image that does not correspond to what the human eye would see, but offers high contrast between different cloud types and surface features. The on-board sensor of a weather satellite obtains two basic types of information: visible light data (reflected light) reflecting off clouds and different surface types, also known as "reflectance", and infrared data (emitted radiation) which are short-wave and long-wave radiation emitted by clouds and surface features. RGBs are specially designed to combine this type of satellite data, resulting in an information-rich final product.Other products are based on the enhancement of channel data for a single wavelength, also aimed at highlighting meteorological features of the observed surface or clouds, but in a simpler way since only a single wavelength is involved. This older approach is still useful today, as its simplicity makes image interpretation easier in some cases.

This map data displays environmental discharges (spills) in Saskatchewan with location, confirmed substance and quantity. This data is limited to events that occurred between January 1, 2015 to present.The Ministry of Environment is responsible for responding to incidents where a substance of potential concern has been discharged into the environment. The Environmental Management and Protection Act, 2010 defines this as a discharge, drainage, deposit, release or emission into the environment.We are currently improving how this information is displayed. This map provides information on more recent discharges that were reported to the ministry. For older Spills, please go to our new GeoHub page: Discharge Cases (Spills) historic incidents”Please note: information may take up to 30 days to be updated and is subject to change at any time.For further information, please contact the Ministry of Environment Inquiry Centre (Toll Free): 800-567-4224, email: centre.inquiry@gov.sk.ca or visit: Hazardous Spills Reporting.

The Regional Air Quality Deterministic Prediction System FireWork (RAQDPS-FW) carries out physics and chemistry calculations, including emissions from active wildfires, to arrive at deterministic predictions of chemical species concentration of interest to air quality, such as fine particulate matter PM2.5 (2.5 micrometers in diameter or less). Geographical coverage is Canada and the United States. Data is available at a horizontal resolution of 10 km. While the system encompasses more than 80 vertical levels, data is available only for the surface level. The products are presented as historical, annual or monthly, averages which highlight long-term trends in cumulative effects on the environment.

This tabular data contains environmental discharges (spills) in Saskatchewan with limited information outlining best known location, confirmed substance and quantity. This data is limited to events that occurred before January 1, 2015. Information is not always complete, please contact the Ministry of Environment for further details.The Ministry of Environment's Environmental Protection Branch (EPB) is responsible for responding to incidents where a substance has been discharged into the environment. Under The Environmental Management and Protection Act 2010 (EMPA, 2010), “discharge” means a discharge, drainage, deposit, release or emission into the environment. These records include locations and details of discharge incidents in the Province of Saskatchewan and are currently limited to incidents that were reported to the ministry prior to January 2015.  The Discharge Date is when the Ministry created the record. This is not necessarily the date of the discharge event. We will continue to improve the quality of the information in the table.  As it is validated it will move to the map format, consequently you may notice changes from the table to map format.  Information related to discharges after Janurary 2015 to present are currently found at: https://geohub.saskatchewan.ca/datasets/saskatchewan::discharge-cases-spills/about For further information, please contact the Ministry of Environment Inquiry Centre (Toll Free): 800-567-4224, email: centre.inquiry@gov.sk.ca or visit: Hazardous Spills Reporting.

The purpose of this dataset is to show end users where LiDAR data has been acquired by the Government of Manitoba.LiDAR (Light Detection and Ranging) is a remote sensing technology that uses lasers to collect accurate, continuous elevation data over relatively large areas. These data are essential for activities such as forestry, flood risk management, land use planning, and natural resources management. The Manitoba Government is increasingly acquiring LiDAR data across the province.This layer was created on August 5, 2009 by Manitoba Sustainable Development and was updated on August 9, 2021.To  download LiDAR data from the Manitoba Land Initiative (MLI) site, follow this link: https://mli2.gov.mb.ca/dems/index_external_lidar.html Fields included ( Alias (Field Name): Field description.) ObjectID (OBJECTID) - Automatically generated feature numberAcquired  (ACQUIRED) - LiDAR data capture dateContractor  (CONTRACTOR) - Contractor nameContributor  (CONTRIB) - Manitoba Government departmentName (NAME) - Dataset nameCellsize (CELLSIZE) - Raster DEM cell sizeMLI (MLI) - Data available for download on the Manitoba Land Initiative site

This layer is the current fire year burn severity classification for large fires (greater than 100 ha). Burn severity mapping is conducted using best available pre- and post-fire satellite multispectral imagery acquired by the MultiSpectral Instrument (MSI) aboard the Sentinel-2 satellite or the Operational Land Imager (OLI) sensor aboard the Landsat-8 and 9 satellites. Every attempt is made to use cloud, smoke, shadow and snow-free imagery that was acquired prior to September 30th. However, in late fire seasons imagery acquired after September 30th may be used. This layer is considered an interim product for the 1-year-later burn severity dataset (WHSE_FOREST_VEGETATION.VEG_BURN_SEVERITY_SP). Mapping conducted during the following growing season benefits from greater post-fire image availability and is expected to be more representative of tree mortality. #### Methodology: • Select suitable pre- and post-fire imagery or create a cloud/snow/smoke-free composite from multiple images scenes • Calculate normalized burn severity ratio (NBR) for pre- and post-fire images • Calculate difference NBR (dNBR) where dNBR = pre NBR – post NBR • Apply a scaling equation (dNBR_scaled = dNBR*1000 + 275)/5) • Apply BARC thresholds (76, 110, 187) to create a 4-class image (unburned, low severity, medium severity, and high severity) • Mask out water bodies using a satellite-derived water layer • Apply region-based filters to reduce noise • Confirm burn severity analysis results through visual quality control • Produce a vector dataset and apply Euclidian distance smoothing

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).

Dry spell periods are defined as the number of days (April 1 – October 31) where daily precipitation is less than 0.5 mm. This is not an accumulation of precipitation, simply a count of days. Dry spell products are only generated during the Growing Season, April 1 through October 31.

Patterns of wet deposition of the nitrate (NO3), non-sea-salt sulfate (xSO4) and ammonium (NH4) ions across areas of Canada and the United States are based on measurements of precipitation depth and ion concentrations in precipitation samples. xSO4 refers to the wet deposition of sulfate with the sea-salt sulfate contribution removed at coastal sites. These measurements were collected and quality controlled by their respective networks: in Canada, the federal Canadian Air and Precipitation Monitoring Network (CAPMoN) and provincial or territorial networks in Alberta, New Brunswick, the Northwest Territories, Nova Scotia, Ontario and Quebec. In the United States, wet deposition measurements were made by two coordinated networks: the National Atmospheric Deposition Program (NADP) / National Trends Network (NTN) and the NADP/Atmospheric Integrated Research Monitoring Network (AIRMoN). Only data from sites that were designated as regionally representative were used in the mapping. Wet deposition amounts were interpolated by ordinary kriging using ArcMap Geostatistical Analyst. The map is limited to the contiguous U.S. and southeastern or southern Canada because outside that region, the interpolation error exceeds 30% due to the larger distances between stations. Links to annual and five-year average maps are available in the associated resources.