Land Tenure for the Yukon Mining and Lands viewers

Created for distribution by the GeoYukon application as a comprehensive resource for all publicly available Mining information in the Government of Yukon. This data may be used directly by other applications to dynamically display Yukon data; however, it may be subject to change as data sets are updated or added.

This dataset provides information submitted by well contractors as prescribed by Regulation 903, and is stored in the Water Well Information System (WWIS). Spatial information for all of the well records reported in Ontario are also provided. [Well record map](https://www.ontario.ca/page/map-well-records) *[WWIS]: Water Well Information System This data is related to: * [Well records](https://www.ontario.ca/page/well-records) * [Map: Well records](https://www.ontario.ca/environment-and-energy/map-well-records) * [Topic: Drinking water](https://www.ontario.ca/page/drinking-water) * Law: [Reg. 903: Wells](https://www.ontario.ca/laws/regulation/900903) Related data: * [Petroleum wells](https://www.ontario.ca/data/petroleum-wells)

Created for distribution by the GeoYukon application as a comprehensive resource for all publicly available Land Planning information in the Government of Yukon. This data may be used directly by other applications to dynamically display Yukon data; however, it may be subject to change as data sets are updated or added.

Land Features entities are: Island, Shoreline, Wooded Area, Saturated soil, Landform Feature (esker, sand\...), and Cut Line. CanVec is a digital cartographic reference product of Natural Resources Canada (NRCan). It originates from the best available data sources covering Canadian territory, offers quality topographical information in vector format, and complies with international geomatics standards. CanVec is a multi-source product coming mainly from the National Topographic Data Base (NTDB), the Mapping the North process conducted by the Canada Center for Mapping and Earth Observation (CCMEO), the Atlas of Canada data, the GeoBase initiative, and the data update using satellite imagery coverage (e.g. Landsat 7, Spot, Radarsat, etc.). Distributed from [GeoYukon](https://yukon.ca/geoyukon) by the [Government of Yukon](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](mailto:geomatics.help@yukon.ca)

This dataset consists of the provincial submerged land management areas. It was generated from data provided by the University of New Brunswick (under contract to Service New Brunswick).

This metadata refers to the CORINE Land Cover Plus Land Use, Land-Use Change and Forestry Instance (CLCplus LULUCF Instance), an annually updated, pan-European, spatially consistent and seamless geospatial proxy for land use reporting under the LULUCF regulation. The product is delivered as a single raster layer with a spatial resolution of 100 m, derived from multiple pan-European Copernicus Land Monitoring Service (CLMS) high resolution input datasets. The LULUCF Instance is available for the reference years 2018, 2021, 2022 and 2023, with production moving to an annual update cycle starting from the 2021 product. Each raster cell represents a dominant LULUCF land-use class, assigned according to thematic and spatial rulesets implemented during the extraction process. While each pixel corresponds primarily to one of the six main LULUCF land use categories - forest land, grassland, cropland, settlements, wetlands, and other lands - the dataset further differentiates these categories into sub classes, resulting in a total of 27 classes. This classification structure supports greenhouse gas reporting and other applications within the LULUCF sector by providing a harmonised and policy relevant representation of land use across Europe. It is crucial to understand that this product is fundamentally different from other CLMS products, as it is not based directly on satellite image classification or visual interpretation. Instead, it is produced through the combination and integration of existing CLMS data layers. Consequently, the dataset does not introduce fundamentally new information; rather, its novelty lies in the expert driven integration of multiple sources to produce a LULUCF oriented land use representation.