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.

The Copernicus High Resolution Layer Tree Cover Precense Change (TCPC) 2018-2021 raster product provides information on the change between the reference years 2018 and 2021 and consists of 4 thematic classes (unchanged areas with no tree cover / new tree cover / loss of tree cover / unchanged areas with tree cover). The class 255 = outside area is predefined by the 100m boundary layer and remains unchanged. This layer for previous reference year compraissions is called Tree Cover Change Mask (TCCM). This dataset is provided in 20 meter rasters (fully conformant with the EEA reference grid) in 100 x 100 km tiles covering the EEA38 countries. The production of the high resolution forest layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme. Confidence layer available for the dataset. This dataset includes data from the French Overseas Territories (DOMs)

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.

The High Resolution Layer Tree Cover Density (TCD) dataset provides information on the proportional crown coverage per pixel at 100 meter spatial resolution and ranges from 0% (all non-tree covered areas) to 100%, whereby Tree Cover Density is defined as the "vertical projection of tree crowns to a horizontal earth’s surface“. This product is an aggregation of its corresponding high resolution dataset. This dataset is provided annually starting with 2018 in 100 meter rasters (fully conformant with the EEA reference grid) in 100 x 100 km tiles covering the EEA38 countries. High Resolution Layer Tree Cover and Forest product is part of the European Union’s Copernicus Land Monitoring Service.

This metadata refers to the Corine Land Cover plus Backbone (CLCplus Backbone), a spatially detailed, large-scale, Earth Observation-based land cover inventory which is produced by the Copernicus Land Monitoring Service (CLMS). The CLCplus Backbone is a high-resolution raster land cover map based on Sentinel-2 satellite time series. Each 10m-pixel contains the dominant land cover among the 11 basic land cover classes. See pixel class codes in the 'Additional Information' section below. The product is available from the 2018 reference year, with a first update produced for the 2021 reference year and moved to an update cycle of 2 years from 2021 onwards.

This metadata refers to the 'Corine Land Cover Plus Backbone' (CLCplus Backbone), a spatially detailed, large-scale, Earth Observation-based land cover inventory which is produced by the Copernicus Land Monitoring Service (CLMS). The CLCplus Backbone vector is a land cover map that contains vector polygon geometries (minimum mapping unit: 0.5 ha; minimum mapping width: 20 m) and is based on Sentinel satellite time series and a combination of existing reference datasets for geometries containing transportation and hydrological networks. Each polygon represents aggregated landscape objects and contains their dominant land cover among the 18 basic land cover classes. See polygon class codes in the additional information section. In addition, polygons are enriched with land cover fractions from the CLCplus Backbone raster as well as aggregated attributes based on other CLMS and Copernicus products (e.g. topography). CLCplus Backbone vector is an independent product and its thematic and geometric contents differ from CLCplus Backbone raster and Corine Land Cover. The CLCplus Backbone vector is available for the 2018 reference year.