0bce352f-6f3f-4a30-9763-c80805fcf272 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 2026-02-19T13:43:09 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 Canada Forest Water (2022) Eau des forêts du Canada (2022) 2023 publication; publication 2023 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 Wall-to-wall map of water bodies across Canada's forested ecosystems for the year 2022, derived from the "water" class of the annual Virtual Land Cover of Engine (VLCE) product. It is developed within the framework of Canada’s National Terrestrial Ecosystem Monitoring System (NTEMS). The VLCE maps are based on Landsat image time-series composites and represent annual land cover classifications from 1984 to 2022 at a spatial resolution of 30 m. The classification process integrates forest change information and ancillary topographic and hydrologic variables, applying a regional modeling framework based on a 150x150 km tiling system ( Hermosilla et al., 2022). Training data are drawn from multiple land cover sources and selected proportionally to land cover distributions using a distance-weighted approach. Classifications are refined over time using a Hidden Markov Model to ensure consistency and reduce classification noise between years. Hermosilla, T., Wulder, M.A., White, J.C., Coops, N.C. 2022. Land cover classification in an era of big and open data: Optimizing localized implementation and training data selection to improve mapping outcomes. Remote Sensing of Environment. 268, 112780. https://doi.org/10.1016/j.rse.2021.112780. ( Hermosilla et al., 2022) Hermosilla, T., Wulder, M.A., White, J.C., Coops, N.C., Hobart, G.W. 2018. Disturbance-Informed Annual Land Cover Classification Maps of Canada's Forested Ecosystems for a 29-Year Landsat Time Series. Canadian Journal of Remote Sensing. 44(1) 67-87. https://doi.org/10.1080/07038992.2018.1437719.( Hermosilla et al., 2018) Carte mur à mur des plans d'eau à travers les écosystèmes forestiers du Canada pour l'année 2022, dérivée de la classe "eau" du produit annuel Virtual Land Cover of Engine (VLCE). Il a été développé dans le cadre du Système national de surveillance des écosystèmes terrestres (NTEMS) du Canada. Les cartes VLCE sont basées sur des composites d'images Landsat en séries temporelles et représentent des classifications annuelles de la couverture terrestre de 1984 à 2022, à une résolution spatiale de 30 m. Le processus de classification intègre des informations sur les changements forestiers ainsi que des variables topographiques et hydrologiques auxiliaires, en appliquant un cadre de modélisation régional basé sur un système de carrelage de 150 × 150 km ( Hermosilla et al., 2022). Les données d'apprentissage proviennent de multiples sources de couverture terrestre et sont sélectionnées proportionnellement aux distributions de couverture terrestre selon une approche pondérée par la distance. Les classifications sont affinées au fil du temps à l'aide d'un modèle de Markov caché afin d'assurer la cohérence et de réduire le bruit de classification entre les années. Hermosilla, T., Wulder, M.A., White, J.C., Coops, N.C. 2022. Land cover classification in an era of big and open data: Optimizing localized implementation and training data selection to improve mapping outcomes. Remote Sensing of Environment. 268, 112780. https://doi.org/10.1016/j.rse.2021.112780. ( Hermosilla et al., 2022) Hermosilla, T., Wulder, M.A., White, J.C., Coops, N.C., Hobart, G.W. 2018. Disturbance-Informed Annual Land Cover Classification Maps of Canada's Forested Ecosystems for a 29-Year Landsat Time Series. Canadian Journal of Remote Sensing. 44(1) 67-87. https://doi.org/10.1080/07038992.2018.1437719.( Hermosilla et al., 2018). onGoing; enContinue asNeeded; auBesoin https://maps.canada.ca/geonetwork/srv/api/records/0bce352f-6f3f-4a30-9763-c80805fcf272/attachments/CA_Water_2022.png National Terrestrial Ecosystem Monitoring System (NTEMS) National Terrestrial Ecosystem Monitoring System (NTEMS) 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 2022 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://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/S0034425721005009 HTTP Land cover classification in an era of big and open data: Optimizing localized implementation and training data selection to improve mapping outcomes Land cover classification in an era of big and open data: Optimizing localized implementation and training data selection to improve mapping outcomes 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_Water_2022&legend_format=image%2Fpng&feature_info_type=text%2Fhtml OGC:WMS CA_Water_2022 CA_Water_2022 Web Service;WMS;fra Service Web;WMS;fra https://opendata.nfis.org/downloads/forest_change/CA_Water_2022.zip HTTPS CA_Water_2022.zip CA_Water_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_Water_2022&legend_format=image%2Fpng&feature_info_type=text%2Fhtml OGC:WMS CA_Water_2022 CA_Water_2022 Web Service;WMS;eng Service Web;WMS;eng https://www.tandfonline.com/doi/full/10.1080/07038992.2018.1437719 HTTPS Disturbance-Informed Annual Land Cover Classification Maps of Canada's Forested Ecosystems for a 29-Year Landsat Time Series Disturbance-Informed Annual Land Cover Classification Maps of Canada's Forested Ecosystems for a 29-Year Landsat Time Series Supporting Document;PDF;eng Document de soutien;PDF;eng