40 Class - Canadian Ecological Domain Classification from Satellite Data. Satellite derived data including 1) topography, 2) landscape productivity based on photosynthetic activity, and 3) land cover were used as inputs to create an environmental regionalization of the over 10 million km2 of Canada’s terrestrial land base. The outcomes of this clustering consists of three main outputs. An initial clustering of 100 classes was generated using a two-stage multivariate classification process. Next, an agglomerative hierarchy using a log-likelihood distance measure was applied to create a 40 and then a 14 class regionalization, aimed to meaningfully group ecologically similar components of Canada's terrestrial landscape. For more information (including a graphical illustration of the cluster hierarchy) and to cite this data please use: Coops, N.C., Wulder, M.A., Iwanicka, D. 2009. An environmental domain classification of Canada using earth observation data for biodiversity assessment. Ecological Informatics, Vol. 4, No. 1, Pp. 8-22, DOI: https://doi.org/10.1016/j.ecoinf.2008.09.005. ( Coops et al. 2009).

14 Class - Canadian Ecological Domain Classification from Satellite Data. Satellite derived data including 1) topography, 2) landscape productivity based on photosynthetic activity, and 3) land cover were used as inputs to create an environmental regionalization of the over 10 million km2 of Canada’s terrestrial land base. The outcomes of this clustering consists of three main outputs. An initial clustering of 100 classes was generated using a two-stage multivariate classification process. Next, an agglomerative hierarchy using a log-likelihood distance measure was applied to create a 40 and then a 14 class regionalization, aimed to meaningfully group ecologically similar components of Canada's terrestrial landscape. For more information (including a graphical illustration of the cluster hierarchy) and to cite this data please use: Coops, N.C., Wulder, M.A., Iwanicka, D. 2009. An environmental domain classification of Canada using earth observation data for biodiversity assessment. Ecological Informatics, Vol. 4, No. 1, Pp. 8-22, DOI: https://doi.org/10.1016/j.ecoinf.2008.09.005. ( Coops et al. 2009).

The land classification shown is derived from in-field investigation and is only undertaken for project investigation purposes. These polygons represent the most accurate and up-to-date information regarding agriculture land conditions at those specific locations.Distributed from [[GeoYukon](.underline)](https://yukon.ca/geoyukon) by the [[Government of Yukon](.underline)](https://yukon.ca/maps) .Discover more digital map data and interactive maps from Yukon's digital map data collection. For more information: [[geomatics.help@yukon.ca](.underline)](mailto:geomatics.help@yukon.ca)

100 Class - Canadian Ecological Domain Classification from Satellite Data. Satellite derived data including 1) topography, 2) landscape productivity based on photosynthetic activity, and 3) land cover were used as inputs to create an environmental regionalization of the over 10 million km2 of Canada’s terrestrial land base. The outcomes of this clustering consists of three main outputs. An initial clustering of 100 classes was generated using a two-stage multivariate classification process. Next, an agglomerative hierarchy using a log-likelihood distance measure was applied to create a 40 and then a 14 class regionalization, aimed to meaningfully group ecologically similar components of Canada's terrestrial landscape. For more information (including a graphical illustration of the cluster hierarchy) and to cite this data please use: Coops, N.C., Wulder, M.A., Iwanicka, D. 2009. An environmental domain classification of Canada using earth observation data for biodiversity assessment. Ecological Informatics, Vol. 4, No. 1, Pp. 8-22, DOI: https://doi.org/10.1016/j.ecoinf.2008.09.005. ( Coops et al. 2009).

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)

IBL - Imagery, basemaps, and land cover (imageryBaseMapsEarthCover) Basemaps. For example, resources describing land cover, topographic maps, and classified and unclassified images

This polygon dataset shows First Nation land acquisitions designated as Other Land as outlined by the Treaty Land Entitlement (TLE) Agreements in Manitoba, pursuant to the Crown Lands Act 5(1)(d).The purpose of this dataset is to show geographic boundaries for land acquisitions designated as Other Land, as outlined by the Treaty Land Entitlement (TLE) Agreements in Manitoba, pursuant to the Crown Lands Act 5(1)(d). This is a dynamic dataset - data can change daily.Other Land includes land that has been purchased by the First Nations from private landowners or Surplus Provincial or Surplus Federal land that has been purchased from the Manitoba or Canada governments. The title to the land is privately held by a First Nation corporation until it gets transferred to the Government of Canada, however the mines and minerals and other residual interests may be owned by the Crown (Government of Manitoba) and they are required to be transferred to the Government of Canada (subject to third party interest resolution, if applicable).The sites are generally identified by title with reference to a plan of survey, metes and bounds description. Locations are mapped using existing cadastral or parcel mapping data, or reasonably illustrate the site within the dataset. A record may contain multiple polygons that have been combined to form one record.All boundaries are to be considered approximate and for illustrative purposes only.For more information on Treaty Land Entitlement (TLE) Agreements please visit the Manitoba government website: https://www.gov.mb.ca/inr/treaty-land-entitlement/index.htmlFields included [Alias (Field Name): Field description]OBJECTID (OBJECTID): Sequential unique whole numbers that are automatically generatedSite ID (SITE_ID): Site ID number of the selected siteArea in Square Metres (AREA): Area in square metresArea in Acres (ACREAGE): Area in acresBand Council Resolution Number (BCR_NO): Band Council Resolution numberName of the First Nation Making the Land Selection (BAND_NAME): Name of the First Nation making the land selectionSite Number (SITE_NO): Site number of the selected siteSelection Name (SELECTION): Name of the selected site

Community Health Service Area (CHSA) boundaries; 2022 boundary configuration. The CHSAs are a mutually exclusive and exhaustive classification of the land area in BC. CHSAs are contiguous (land area is geographically adjacent) and fit within the existing geographical hierarchy (cannot violate higher-level geography boundaries such as the Local Health Area).

TA_LAND_DISTRICTS_SVW contains the spatial representation (polygon) of the current extent of the administrative areas defined under Section 2 of the Land Act as Land Districts. The was created to provide a simplified view of this data from the administrative boundaries information in the Tantalis operational system. These administrative regions are defined under Section 2 of the Land Act for the purpose of managing and uniquely identifying cadastral survey parcels

Health Authority (HA) boundaries; 2022 boundary configuration. The HAs are a mutually exclusive and exhaustive classification of the land area in BC. HAs are contiguous (land area is geographically adjacent) and fit within an existing geographical hierarchy, e.g., cannot violate lower-level geography boundaries such as the Health Service Delivery Areas (HSDA) and Local Health Area (LHA).