A Fire Disturbance Area represents the mapped exterior perimeter of a forest fire. Mapping is derived from a variety of sources, such as GPS points and digitized paper maps. Prior to 1998, only fires greater than 200 hectares were mapped. Since 1998, fires greater than 40 hectares have been mapped. If adequate mapping exists for fires less than 40 hectares in size, they will be included in this data class. The [Forest Fire Info Map](https://www.lioapplications.lrc.gov.on.ca/ForestFireInformationMap/index.html?viewer=FFIM.FFIM) shows active fires, current fire danger and restricted fire zones in place due to high fire danger.

This category covers items of surplus, not including Real Property, that were publicly tendered for purchase and removal from specific locations throughout the Province.

The geographic locations of all hospitals in Nova Scotia by their civic address.

"This category covers items of surplus in the Real Property classification. Real Property, in general, is considered land or buildings that are deemed surplus to the needs of the various government departments responsible for their management. "

This data breaks down estimated hunter and harvest numbers by: * wildlife management unit (WMU) * calendar year Harvest and active hunter numbers are estimates based on replies received from a sample of hunters and are therefore subject to statistical error. Additional technical and statistical notes can be found in the data dictionary.

Number of outbound visits by residents of Ontario to selected Overseas Countries. ## Related * [Outbound visits](/dataset/outbound-visits) * [Outbound visitor spending](/dataset/outbound-visitor-spending) * [Outbound visitor spending by province](/dataset/outbound-visitor-spending-by-province) * [Outbound visitor spending by country](/dataset/outbound-visitor-spending-by-country) * [Outbound visits by province](/dataset/outbound-visits-by-province) * [Outbound visits by U.S. state](/dataset/outbound-visits-by-us-state) * [Outbound visitor spending by U.S. state](/dataset/outbound-visitor-spending-by-us-state) *[U.S.]: United States

This data contains the memorials and monuments located in communities across the country. Currently, more than 8,000 memorials are included in this data. This data is regularly updated as we continue to receive information on Canadian military memorials.

This dataset contains the validated hourly results of the [Air Quality Index (AQI)] (https://www.iqa.environnement.gouv.qc.ca/contenu/index.asp) and its sub-indices for each station in the [Quebec Air Quality Monitoring Network (RSQAQ)] (https://www.environnement.gouv.qc.ca/air/reseau-surveillance/Carte.asp). The results of the stations in the city of Montreal are not included. To obtain them, consult the dataset [RSQA - air quality index (historical)] ([measured on the island of Montreal] (https://www.donneesquebec.ca/recherche/dataset/vmtl-rsqa-polluants-gazeux)). The IQA is an information and awareness tool designed to inform the population about the quality of ambient air in Quebec. If you have any questions about this data, contact the Info-Air department:.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

This dataset contains the total annual releases of radionuclides released directly to the environment through stack emissions of the nuclear power plants in Canada. This original radionuclide releases dataset of the nuclear power plants provides results for both stack emissions and direct discharge (i.e. releases to water). The dataset has been divided in two subsets for better discoverability. In this record as its title indicates, you will find the stack emissions results mapped. Make sure to look at the nuclear power plants direct discharge record in order to obtain a complete picture.

Data include a collection of annual land cover maps derived from MODIS 250 m spatial resolution remotely sensed imagery for the period 2000 to 2011. Processing of the time series was designed to reduce the occurrence of false change between maps. The method was based on change updating as described in Pouliot et al. (2011, 2013). Change detection accounted for both abrupt changes such as forest harvesting and more gradual changes such as recurrent insect defoliation. To determine the new label for a pixel identified as change, an evidential reasoning approach was used to combine spectral and contextual information. The 2005 MODIS land cover of Canada at 250 m spatial resolution described in Latifovic et al. (2012) was used as the base map. It contains 39 land cover classes, which for time series development was considered too detailed and was reduced to 25 and 19 class versions. The 19 class version corresponds to the North America Land Change Monitoring System (NALCMS) Level 2 legend as described in Latifovic et al. (2012). Accuracy assessment of time series is difficult due to the need to assess many maps. For areas of change in the time series accuracy was found to be 70% based on the 19 class thematic legend. This time series captures the spatial distribution of dominant land cover transitions. It is intended for use in modeling, development of remote sensing products such as leaf area index or land cover based albedo retrievals, and other exploratory analysis. It is not appropriate for use in any rigorous reporting or inventory assessments due to the accuracy of the land cover classification and uncertainty as to the capture of all relevant changes for an application. NOTE: To see this entire product in the map viewer, use a base map in the "World" section (EPSG: 3857).