This dataset contains spatial indices of environmental and social sensitivities for natural resources development for all of Canada. Both model result rasters (index maps) and input factors (weighted indices) are included along with point file locations of mineral, forestry, renewable energy, and future major projects.

Flood extent polygons from the last three days in selected Canadian regions that have been designated for observation, monitored by Natural Resources Canada using satellite imagery for emergency response. Coverage is not comprehensive nationwide. In response to large flood events, Natural Resources Canada (NRCan), for the provision of emergency geomatics services, may be activated by Canada’s emergency management protocols. As new satellite imagery becomes available, NRCan will extract flood extent polygons and update the dataset in near real time (4 hours). This item contains the latest flood products generated in the past three days. For any data older than 72 hours, please refer to the [Floods in Canada - Current Year](https://open.canada.ca/data/en/dataset/b1afd8d2-6e14-4ec4-9a09-652221a6cb71) entry. Note that the web mapping service may not display data if flood polygons have not been published by the EGS in the past three days. The flood products generated are validated on a best effort basis. Various factors may affect the quality of the flood polygons. These factors include, but are not limited to, sensor type, image resolution, cloud cover or limitations of the flood polygon extraction method. In this layer, where possible, a symbology is applied to the flood polygons based on the underlying land use classification, or is simply unclassified and shows the raw flood extent. When using Web mapping services, to display a specific product, filter by date (UTC Date) and area of interest (AOI). Also, a link to download each product directly is available in the Resources section. This prepackaged and compressed product contains a Shape file, a PDF file and a KMZ file. Disclaimer: Emergency response authorities are the primary users of these satellite-derived open water flood extent map products. These products are generated to provide analysis and emergency response situational awareness and to facilitate decision-making during major flood events. The open water flood extent products are generated rapidly and limited time is available for editing and validation. The flood products reflect the open water flood conditions at the date/time of acquisition. While efforts are made to produce high quality products, near-real time products may contain errors due to the limited time available for vector editing and validation. Please note that current algorithms do not map flooded areas under the forest canopy and are not optimized for urban flood mapping. Limitation of Liability: Accordingly, the information contained on this website is provided on an “as is” basis and Natural Resources Canada makes no representations or warranties respecting the information, either expressed or implied, arising by law or otherwise, including but not limited to, effectiveness, completeness, accuracy or fitness for a particular purpose. Natural Resources Canada does not assume any liability in respect of any damage or loss based on the use of this website. In no event shall Natural Resources Canada be liable in any way for any direct, indirect, special, incidental, consequential, or other damages based on any use of this website or any other website to which this site is linked, including, without limitation, any lost profits or revenue or business interruption. Parent Collection:- **[Floods in Canada - Cartographic Product Collection](https://open.canada.ca/data/en/dataset/08b810c2-7c81-40f1-adb1-c32c8a2c9f50)**

Satellite-based forest area consistent with FAO definitions for Canada. It is developed within the framework of Canada’s National Terrestrial Ecosystem Monitoring System (NTEMS). The forest area is based on the Food and Agricultural Organization of the United Nations (FAO) definition. The FAO definition incorporates land use, whereby trees removed by fire and harvesting for instance, remain forest as the trees will return. The included map displays the current forest cover for year as noted (i.e. 2022), plus the satellite-based temporally informed forest area where tree cover has been temporarily lost due to stand replacing disturbances (i.e., fire, harvest). For an overview of the methods, data, image processing, as well as information on accuracy assessment see Wulder et al. (2020).Open Access: Wulder, M.A., T. Hermosilla, G. Stinson, F.A. Gougeon, J.C. White, D.A. Hill, B.P. Smiley. (2020). Satellite-based time series land cover and change information to map forest area consistent with national and international reporting requirements. Forestry: An International Journal of Forest Research 93(3), 331-34, https://doi.org/10.1093/forestry/cpaa0063 . ( Wulder et al. 2020)

A Culvert is a pipe (less than 3m in diameter) or half-round flume used to transport or drain water under or away from the road and/or right of way. Culverts that are greater than or equal to 3m in diameter are stored in the MoT Bridge Structure Road Dataset. It is a Point feature

Forest Elevation(Ht) Mean 2015Mean height of lidar first returns (m). Represents the mean canopy height. It is developed within the framework of Canada’s National Terrestrial Ecosystem Monitoring System (NTEMS). 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). Forest structure estimates were generated by combining information from lidar plots (Wulder et al. 2012) with Landsat pixel-based composites (White et al. 2014; Hermosilla et al. 2016) using a nearest neighbour imputation approach with a Random Forests-based distance metric. These products were generated for strategic-level forest monitoring information needs and are not intended to support operational-level forest management. All products have a spatial resolution of 30 m. For a detailed description of the data, methods applied, and accuracy assessment results see Matasci et al. (2018). When using this data, please cite as follows: Matasci, G., Hermosilla, T., Wulder, M.A., White, J.C., Coops, N.C., Hobart, G.W., Bolton, D.K., Tompalski, P., Bater, C.W., 2018b. 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. Matasci et al. 2018) Wulder et al. 2018)Geographic extent: Canada's forested ecosystems (~ 650 Mha)Time period: 1985–2011

Stations containing prime movers, electric generators, and auxiliary equipment for converting mechanical, chemical into electric energy with an installed capacity of 1 Megawatt or more generated from renewable energy, including biomass, hydroelectric, pumped-storage hydroelectric, geothermal, solar, and wind.Mapping Resources implemented as part of the North American Cooperation on Energy Information (NACEI) between the Department of Energy of the United States of America, the Department of Natural Resources of Canada, and the Ministry of Energy of the United Mexican States.The participating Agencies and Institutions shall not be held liable for improper or incorrect use of the data described and/or contained herein. These data and related graphics, if available, are not legal documents and are not intended to be used as such. The information contained in these data is dynamic and may change over time and may differ from other official information. The Agencies and Institutions participants give no warranty, expressed or implied, as to the accuracy, reliability, or completeness of these data.Parent Collection:[North American Cooperation on Energy Information, Mapping Data](https://open.canada.ca/data/en/dataset/aae6619f-f9f3-435d-bc32-42decd58b674)

This product provides runoff data with each contour line corresponding to an average amount of annual runoff (in millimeters). Runoff data were derived from discharge values from hydrometric stations with natural flows. Not all years are included for every region of the country due to data quality and availability issues. Data cover the period 1971 to 2013 for the south and 1971 to 2004 for the north. These files were produced by Statistics Canada, Environment, Energy and Transportation Statistics Division, 2017, based on data from Environment and Climate Change Canada, 2015, Water Survey of Canada, Archived Hydrometric Data (HYDAT), www.ec.gc.ca/rhc- wsc/default.asp?lang=En&n=4EED50F1-1 (accessed December 3, 2015); Spence, C. and A. Burke, 2008, “Estimates of Canadian Arctic Archipelago runoff from observed hydrometric data,” Journal of Hydrology, Vol. 362, pp. 247–259. For more information about methods, results and limitations see Appendix D in Statistics Canada, 2017, “Freshwater in Canada,” Human Activity and the Environment,Catalogue no. 16-201-X.The purpose of the dataset is to present runoff values as derived from Statistics Canada's Water Yield Model on a national scale map of 1:32,000,000.This product is intended to be used for reference or mapping purposes. The product ends at the shoreline of Canada as defined by the drainage region boundaries supplied for drainage regions of Canada. It does not include the Arctic Islands.

This is an approximated visualization of the School Authority Separate information that is currently available on the Alberta Education public website (https://education.alberta.ca/boundary-maps/school-jurisdiction-maps/everyone/view-and-print-maps). The information has been informed by Ministerial Orders and is presented in a mapping format.

Displays the levels of escalating enforcement applied by health officers to enforce the Manitoba Food and Food Handling Establishment Regulations when food safety violations are not corrected in the prescribed period of timeThis table displays the frequency in which health officers applied escalating levels of enforcement to food processors who did not correct food safety violations in the prescribed amount of time indicated in the inspection. Food processors are given a period of time to correct food safety violations based on the associated risk to food safety. Escalating enforcement is only applied if the violation is not corrected in the prescribed period of time. This table was created by the Food Safety and Inspection Branch - Agriculture and Resource Development department.Field Names (Field Alias): Field description. Period (Period):The period for which the data was collected. Either quarterly or yearly. Year (Year): The specific year of the previously mentioned data collection period. Date (Date): The dates of the calendar year in which the data was collected during a period. Enforcement_Type (Enforcement Type): The individual levels of escalating enforcement applied by health officers. The values for this field are "Warning letter", "Verbal warning", "Offence notice issued", "Closure orders issued", "Suspensions", "Products seized and destroyed", "Products seized and held". Total (Total): the number of occurrences a level of escalating enforcement was applied in a period.

Satellite-based forest area consistent with FAO definitions for Canada. It is developed within the framework of Canada’s National Terrestrial Ecosystem Monitoring System (NTEMS). The forest area is based on the Food and Agricultural Organization of the United Nations (FAO) definition. The FAO definition incorporates land use, whereby trees removed by fire and harvesting for instance, remain forest as the trees will return. The included map displays the current forest cover for year as noted (i.e. 2022), plus the satellite-based temporally informed forest area where tree cover has been temporarily lost due to stand replacing disturbances (i.e., fire, harvest). For an overview of the methods, data, image processing, as well as information on accuracy assessment see Wulder et al. (2020).Open Access: Wulder, M.A., T. Hermosilla, G. Stinson, F.A. Gougeon, J.C. White, D.A. Hill, B.P. Smiley. (2020). Satellite-based time series land cover and change information to map forest area consistent with national and international reporting requirements. Forestry: An International Journal of Forest Research 93(3), 331-34, https://doi.org/10.1093/forestry/cpaa0063 . ( Wulder et al. 2020)