a5586d3d-edf5-4d1e-826b-cff87f397798 eng; CAN utf8; utf8 dataset; jeuDonnées Dr. M. A. Wulder Government of Canada; Natural Resources Canada; Canadian Forest Service, Pacific Forestry Centre, Forest Geomatics Gouvernement du Canada; Ressources naturelles Canada; Service canadien des forêts Centre de foresterie du Pacifique Research Scientist Chercher (250) 363-0600 (250) 363-0600 (250) 363-6004 506 West Burnside Road 506 rue Burnside Ouest Victoria British Columbia Colombie-Britannique V8R 2E4 Canada Canada mike.wulder@canada.ca mike.wulder@canada.ca https://cfs.nrcan.gc.ca/employes/vue/mwulder http email only please courriel seulemente svp principalInvestigator; chercheurPrincipal 2026-02-17T09:44:41 North American Profile of ISO 19115:2003 - Geographic information - Metadata Profil nord-américain de la norme ISO 19115:2003 - Information géographique - Métadonnées CAN/CGSB-171.100-2009 French; Français Canada; Canada utf8; utf8 EPSG:3978 http://www.epsg-registry.org 1.0 CA Forest Wildfire dNBR (1985-2022) CA Feu de Forêt dNBR (1985-2022) 2024 publication; publication 2024 creation; création Dr. M.A.Wulder Government of Canada; Natural Resources Canada; Canadian Forest Service, Pacific Forestry Centre, Forest Geomatics Gouvernement du Canada; Ressources naturelles Canada; Service canadien des forêts Centre de foresterie du Pacifique Research Scientist Chercher (250) 363-0600 (250) 363-0600 (250) 363-6004 506 Burnside Road West 506 rue Burnside Ouest Victoria British Columbia Colombie-Britannique V8R 2E4 Canada Canada mike.wulder@canada.ca mike.wulder@canada.ca https://cfs.nrcan.gc.ca/employes/vue/mwulder http email only please courriel suelemente svp principalInvestigator; chercheurPrincipal 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). Ampleur des changements dans les feux de forêt de 1985 à 2022 Ampleur du changement spectral pour les feux de forêt qui se sont produits de 1985 à 2022. Il a été développé dans le cadre du Système national de surveillance des écosystèmes terrestres (NTEMS) du Canada. La valeur de l'ampleur du changement est exprimée par la différence normalisée du ratio de brûlage (dNBR), qui est calculée comme la variation entre les valeurs spectrales avant et après le feu à l'origine du changement. Plus la dNBR est élevée, plus le feu a été intense. En effet, des séries chronologiques de données Landsat à résolution spatiale de 30 m ont permis de caractériser les tendances nationales des perturbations de renouvellement de peuplement causées par les feux de forêt de 1985 à 2022 sur les 650 millions d'hectares d'écosystèmes forestiers du Canada. Si vous utilisez ces données, veuillez les citer comme suit: 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). Voir les références ci'dessous pour un aperçu des données, du traitement des images et des méthodes de détection des changements dans les séries chronologiques utilisées, ainsi que pour des renseignements sur l'évaluation indépendante de l'exactitude des données. 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). Hermosilla, T., M.A. Wulder, J.C. White, N.C. Coops, G. W. Hobart, (2017). Updating Landsat time series of surface-reflectance composites and forest change products with new observations. International Journal of Applied Earth Observation and Geoinformation. 63,104-111.. (Hermosilla et al. 2017). onGoing; enContinue asNeeded; auBesoin https://csw.open.canada.ca/geonetwork/srv/api/records/a5586d3d-edf5-4d1e-826b-cff87f397798/attachments/CA_Forest_Wildfire_dNBR_1985-2022.png CA_Forest_Wildfire_dNBR_1985-2022.png CA_Forest_Wildfire_dNBR_1985-2022.png National Terrestrial Ecosystem Monitoring System (NTEMS) National Terrestrial Ecosystem Monitoring System (NTEMS) product; produit Forests Forêt theme; thème Government of Canada Core Subject Thesaurus Thésaurus des sujets de base du gouvernement du Canada 2004 creation; création 2016-07-04 publication; publication Government of Canada; Library and Archives Canada Gouvernement du Canada; Bibliothèque et Archives Canada custodian; conservateur Open Government Licence - Canada (http://open.canada.ca/en/open-government-licence-canada) Licence du gouvernement ouvert - Canada (http://ouvert.canada.ca/fr/licence-du-gouvernement-ouvert-canada) otherRestrictions; autresRestrictions intellectualPropertyRights; droitsPropriétéIntellectuelle grid; grille eng geoscientificInformation 1985 2022 -141.003 -52.6174 41.6755 83.1139 GeoTIF 1.0 Brian Low Government of Canada; Natural Resources Canada; Canadian Forest Service, Pacific Forestry Centre, Forest Geomatics Gouvernement du Canada; Ressources naturelles Canada; Service canadien des forêts Centre de foresterie du Pacifique Manager, National Forest Information System Gestionnaire, Système national d'information forestière (250) 363-0600 (250) 363-0600 (250) 363-6004 506 Burnside Road West 506 rue Burnside Ouest Victoria British Columbia Colombie-Britannique V8R 2E4 Canada Canada brian.low@canada.ca brian.low@canada.ca https://ca.nfis.org/index_eng.html http email only please courriel suelemente svp custodian; conservateur https://opendata.nfis.org/mapserver/nfis-change_eng.html HTTPS Satellite Forest Information for Canada (English) Information sur les forêts du Canada provenant d'images satellitaires Application;HTML;eng Application;HTML;eng https://www.sciencedirect.com/science/article/pii/S0303243417301599 HTTPS Updating Landsat time series of surface-reflectance composites and forest change products with new observations Updating Landsat time series of surface-reflectance composites and forest change products with new observations Supporting Document;PDF;eng Document de soutien;PDF;eng https://www.tandfonline.com/doi/full/10.1080/17538947.2016.1187673 HTTPS Mass data processing of time series Landsat imagery: pixels to data products for forest monitoring Mass data processing of time series Landsat imagery: pixels to data products for forest monitoring Supporting Document;PDF;eng Document de soutien;PDF;eng https://opendata.nfis.org/mapserver/nfis-change_fra.html HTTPS Satellite Forest Information for Canada (French) Information sur les forêts du Canada provenant d'images satellitaires Application;HTML;fra Application;HTML;fra https://www.sciencedirect.com/science/article/pii/S0034425714004453 HTTP An integrated Landsat time series protocol for change detection and generation of annual gap-free surface reflectance composites An integrated Landsat time series protocol for change detection and generation of annual gap-free surface reflectance composites Supporting Document;HTML;eng Document de soutien;HTML;eng https://opendata.nfis.org/mapserver/cgi-bin/wms_change_fra.cgi?request=GetCapabilities&service=WMS&version=1.3.0&layers=CA_Forest_Wildfire_dNBR_1985_2020&legend_format=image%2Fpng&feature_info_type=text%2Fhtml OGC:WMS CA_Forest_Wildfire_dNBR_1985_2022 CA_Forest_Wildfire_dNBR_1985_2020 Web Service;WMS;fra Service Web;WMS;fra https://opendata.nfis.org/downloads/forest_change/CA_Forest_Wildfire_dNBR_1985-2022.zip HTTPS CA_Forest_Wildfire_dNBR_1985-2022.zip CA_Forest_Wildfire_dNBR_1985-2022.zip Dataset;ZIP;zxx Données;ZIP;zxx https://opendata.nfis.org/mapserver/cgi-bin/wms_change.cgi?request=GetCapabilities&service=WMS&version=1.3.0&layers=CA_Forest_Wildfire_dNBR_1985-2022&legend_format=image%2Fpng&feature_info_type=text%2Fhtml OGC:WMS CA_Forest_Wildfire_dNBR_1985-2022 CA_Forest_Wildfire_dNBR_1985-2022 Web Service;WMS;eng Service Web;WMS;eng https://www.sciencedirect.com/science/article/pii/S0034425715301279 HTTPS Regional detection, characterization, and attribution of annual forest change from 1984 to 2012 using Landsat-derived time-series metrics Regional detection, characterization, and attribution of annual forest change from 1984 to 2012 using Landsat-derived time-series metrics Supporting Document;PDF;eng Document de soutien;PDF;eng