Wildfire change magnitude 1985-2022. Spectral change magnitude for wildfires that occurred from 1985 to 2022. It is developed within the framework of Canada’s National Terrestrial Ecosystem Monitoring System (NTEMS). The wildfire change magnitude included in this product is expressed via differenced Normalized Burn Ratio (dNBR), computed as the variation between the spectral values before and after a given change event. Higher dNBR values are related to higher burn severity. Time series of Landsat data with 30-m spatial resolution were used to characterize national trends in stand replacing forest disturbances caused by wildfire for the period 1985-2022 for Canada's 650 million-hectare forested ecosystems.When using this data, please cite as: Hermosilla, T., M.A. Wulder, J.C. White, N.C. Coops, G.W. Hobart, L.B. Campbell, 2016. Mass data processing of time series Landsat imagery: pixels to data products for forest monitoring. International Journal of Digital Earth 9(11), 1035-1054. (Hermosilla et al. 2016).See references below for an overview on the data processing, metric calculation, change attribution and time series change detection methods applied, as well as information on independent accuracy assessment of the data.Hermosilla, T., Wulder, M. A., White, J. C., Coops, N.C., Hobart, G.W., 2015. An integrated Landsat time series protocol for change detection and generation of annual gap-free surface reflectance composites. Remote Sensing of Environment 158, 220-234. (Hermosilla et al. 2015a).Hermosilla, T., Wulder, M.A., White, J.C., Coops, N.C., Hobart, G.W., 2015. Regional detection, characterization, and attribution of annual forest change from 1984 to 2012 using Landsat-derived time-series metrics. Remote Sensing of Environment 170, 121-132. (Hermosilla et al. 2015b).

## Get data on areas where outdoor fires are not permitted. This dataset shows areas where outdoor fires are restricted in accordance with the [Forest Fires Prevention Act](https://www.ontario.ca/laws/statute/90f24). There are two reasons why a restricted fire zone is in effect: * outdoor conditions are extremely dry * the number of fires occurring has stretched firefighting resources to capacity A restricted fire zone is a temporary measure for extreme situations and is lifted as soon as conditions permit. 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.

Manitoba's Provincial Forest Boundaries (version 6): There are currently 15 provincial forests totalling almost 22,000 km2. Attributes include the name of the provincial forest, the year it was established and its area. Detailed descriptions of Manitoba’s provincial forests are provided in the Provincial Forest Act Regulations.Manitoba's Provincial Forest B oundaries ( V ersion 6 ). Manitoba's provincial forests reserve certain areas in the province for perpetual growth of timber, preserve the forest cover thereon and provide for a reasonable use of all the resources that the forest lands contain. All Crown lands within a provincial forest are withdrawn from disposition, sale, settlement or occupancy, except under authority of the Forest Act . Before the Province of Manitoba was established, European settlers were promised 160 acres of free land if they lived on it and cleared it for agriculture. As a result, farms began replacing our southern forests. The federal government decided they must retain some forests for building material. In 1885 , they established Turtle Mountain, Spruce Woods and Riding Mountain (now a national park) as timber reserves. Duck Mountain and Porcupine Mountain followed in 1906. What started out as federal timber reserves 100 years ago have become our provincial forests of today. Manitoba has 15 provincial forests , totalling almost 22,000 sq. km . These forests are among the highest quality timber stands in the province. Today, our provincial forests are much more than reserves for timber. They are also places for wildlife, recreation and research. Control of Manitoba's forests was transferred from the federal to the provincial governments in 1930. Provincial forests are Crown lands owned by the people of Manitoba. The feature class name (BDY_MB_PROV_FOREST_PY) components include: 1. ISO 19115 Topic Category Name (BDY for boundary); 2. Location code (MB for Manitoba); 3. Intuitive or descriptive name (PROV_FOREST); 4. Data/geometry type (PY for polygon); 5. Version number (v 6 ).Manitoba's provincial forests include Agassiz Provincial Forest, Belair Provincial Forest, Brightstone Sand Hills Provincial Forest, Cat Hills Provincial Forest, Cormorant Provincial Forest, Duck Mountain, Moose Creek Provincial Forest, Northwest Angle Provincial Forest, Porcupine Provincial Forest, Sandilands Provincial Forest, Spruce Woods Provincial Forest, Swan-Pelican Provincial Forest, Turtle Mountain Provincial Forest, Wampum Provincial Forest, and Whiteshell Provincial Forest.Detailed descriptions of Manitoba’s Provincial Forests are provided in the Provincial Forest Act Regulations. The dataset includes the following fields : Name / Nom Alias Description PROV_FOREST_ID Provincial Forest ID / No de la forêt provinciale Provincial Forest identifier Identificateur de la forêt provinciale PROV_FOREST_NAME Provincial Forest Name Provincial Forest name -- NOM_FORET_PROV Nom de la forêt provinciale -- Nom de la forêt provinciale ESTABLISHED Year Established / Année d’établissement The year that the provincial forest was established L’année où la forêt provinciale a été établie AREA_HA Area / Surface (Hectares) Area in hectares La surface en hectares

Wildfire Year/dNBR/Mask 1985-2015Wildfire change magnitude 85-15. Spectral change magnitude for wildfires that occurred from 1985 and 2015. It is developed within the framework of Canada’s National Terrestrial Ecosystem Monitoring System (NTEMS). The wildfire change magnitude included in this product is expressed via differenced Normalized Burn Ratio (dNBR), computed as the variation between the spectral values before and after the change event. This dataset is composed of three layers: (1) binary wildfire mask, (2) year of greatest wildfire disturbance, and (3) differenced Normalized Burn Ratio (dNBR) transformed for data storage efficiency to the range 0-200. The actual dNBR value is derived as follows: dNBR = value / 100. Higher dNBR values are related to higher burn severity. The information outcomes represent 30 years of wildfires in Canada's forests, derived from a single, consistent spatially-explicit data source in a fully automated manner. Time series of Landsat data with 30-m spatial resolution were used to characterize national trends in stand replacing forest disturbances caused by wildfire for the period 1985-2015 for Canada's 650 million hectare forested ecosystems.When using this data, please cite as: Hermosilla, T., M.A. Wulder, J.C. White, N.C. Coops, G.W. Hobart, L.B. Campbell, 2016. Mass data processing of time series Landsat imagery: pixels to data products for forest monitoring. International Journal of Digital Earth 9(11), 1035-1054. (Hermosilla et al. 2016).See references below for an overview on the data processing, metric calculation, change attribution and time series change detection methods applied, as well as information on independent accuracy assessment of the data.Hermosilla, T., Wulder, M. A., White, J. C., Coops, N.C., Hobart, G.W., 2015. An integrated Landsat time series protocol for change detection and generation of annual gap-free surface reflectance composites. Remote Sensing of Environment 158, 220-234. (Hermosilla et al. 2015a).Hermosilla, T., Wulder, M.A., White, J.C., Coops, N.C., Hobart, G.W., 2015. Regional detection, characterization, and attribution of annual forest change from 1984 to 2012 using Landsat-derived time-series metrics. Remote Sensing of Environment 170, 121-132. (Hermosilla et al. 2015b).Geographic extent: Canada's forested ecosystems (~ 650 Mha)Time period: 1985–2011

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.

##Get data on fire response plan area boundaries and recommended response types for wildfires. This dataset shows the boundaries of fire response plan areas and provides the recommended response type that corresponds to the official fire response plan for each area. Fire response types include: * full response * modified response * monitored response * prescribed fire 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 dataset shows the locations of ignition points for forest fires less than 40 hectares in size. Fires that grow larger than 40 hectares are mapped in the [Fire Disturbance Area](https://data.ontario.ca/dataset/fire-disturbance-area-firedstb) dataset. The [Forest Fire Info Map](https://www.gisapplication.lrc.gov.on.ca/ForestFireInformationMap/index.html?viewer=FFIM.FFIM&locale=en-US) shows active fires, current fire danger and restricted fire zones in place due to high fire danger.

Fire perimeters for this year's forest fires in Ontario. Fire perimeters are illustrations only and may not be exact in relation to actual physical locations. The Ontario Ministry of Natural Resources does not capture perimeters for every fire. Fire perimeters are not captured in real time; each capture depends on available resources and weather conditions and may be several days old. During fire season, perimeter data is updated every 24 hours as improved information becomes available; therefore, reported fire size may fluctuate from day to day. The Ontario Ministry of Natural Resources shall not be liable in any way for the use of, or reliance upon this information. The [Forest Fire Info Map](https://www.lioapplications.lrc.gov.on.ca/ForestFireInformationMap/index.html?viewer=FFIM.FFIM&locale=en-CA) shows active fires, current fire danger and restricted fire zones in place due to high fire danger.

Identification of a potential spawning site for lumpfish during an ichtyofauna inventory conducted in the eelgrass in Sept-Îles bay by Calderón (1996).Purpose:The 1996 document by par Isabel Calderón has been achieved by the "Corporation de protection de l'environnement de Sept-Îles" with the support of Department of Fisheries and Oceans (DFO) as part of the "Biodiversity" program, St. Lawrence Vision 2000 (Canada).Source:Calderón, I. 1996. Caractérisation des habitats du poisson de la baie de Sept-Îles - Phase II. Corporation de protection de l'environnement de Sept-Îles. 37 pages.

The dataset represents known concentration areas of harvested or unharvested Softshell clam (Mya arenaria) in the intertidal zone of the Estuary and the Gulf of St. Lawrence, Quebec region. The dataset was created for the National environmental emergencies centre (NEEC) for preparation and response in case of an oil spill. Concentration areas were defined using Fisheries and Oceans Canada (DFO) inventories conducted between 2000 and 2020.This layer is dependent on the inventories carried out and thus only represents known clam areas. For example, for the Haute-Côte-Nord, inventories have been limited to areas open to harvesting (with the exception of 4 sectors), but it is known that the Softshell clam is also present outside these areas. In addition, little information was available for the Moyenne and Basse-Côte-Nord.This data layer does not represent the general distribution of the species nor the extent to which fishing is allowed. The extent of shellfish beds may vary over time in response to, among others harvesting and the recruitment rates. The boundaries of polygons from inventory data may be underestimated relative to the actual size of the deposit since the inventories were conducted at the location where the resource is most abundant, without necessarily sampling the entire bed. However, the accuracy is sufficient for the protection and management needs of the resource in the event of an environmental incident. Data sources and references:Brulotte, S. 2011. Évaluation des stocks de mye commune des eaux côtières du Québec. Secr. can. de consult. sci. du MPO. Doc. de rech. 2011/044. x + 53 p.Brulotte, S. 2018. Évaluation de la mye commune (Mya arenaria) des eaux côtières du Québec en 2016 – méthodologie et résultats. Secr. can. de consult. sci. du MPO. Doc. de rech. 2018/004. ix + 60 p.Brulotte, S. 2020. Évaluation des stocks de la mye commune (Mya arenaria) des eaux côtières du Québec en 2019 – méthodologie et résultats. Secr. can. de consult. sci. du MPO. Doc. de rech. 2020/055. vii + 43 p.Brulotte, S. 2022. Résultats des inventaires de gisements de mye commune (Mya arenaria) réalisés de 2016 à 2020 et mise à jour des résultats de ceux effectués de 2001 à 2014 au Québec. Secr. can. de consult. sci. du MPO. Doc. de rech. 2022/xxx. (in progress)Brulotte, S. and M. Giguère. 2003. Évaluation d'un gisement de mye commune (Mya arenaria) de l'embouchure de la rivière Mingan, Québec, Rapp. can. ind. sci. halieut. aquat. No. 2511: xi + 58.Brulotte, S., M. Giguère, S. Brillon and F. Bourque. 2006. Évaluation de cinq gisements de mye commune (Mya arenaria) aux Îles-de-la-Madeleine, Québec, de 2000 à 2003. Rapp. tech. can. sci. halieut. aquat. 2640 : xii + 92 p.Brulotte, S., Giguère, M. and Duluc, C. 2015. Essais de techniques de captage du naissain de mye commune (Mya arenaria) sur la rive nord de l’estuaire et du golfe du Saint-Laurent. Rapp. tech. can. sci. halieut. aquat. 3084 : ix + 60 p.Giguère, M., S. Brulotte and F. Hartog.2007. Évaluation de quelques gisements de mye commune (Mya arenaria) de la rive sud de l'estuaire du Saint-Laurent en 2005 et 2006. Rapp. can. ind. sci. halieut. aquat. No. 2738: xi + 107.Giguère, M., S. Brulotte, M. Boudreau and M.-F. Dréan. 2008. Évaluation de huit gisements de mye commune (Mya arenaria) de la rive nord de l’estuaire du Saint-Laurent de 2002 à 2008. Rapp. tech. can. sci. halieut. aquat. 2821 : x + 91 p.Roy, I., M. Giguère, S. Brulotte and M. Gagnon. 2003. Évaluation de douze gisements de mye commune (Mya arenaria) du sud de la Gaspésie, Rapp. Tech. can. sci. halieut. aquat. 2469: xvi + 140 p.