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land

115 record(s)
 
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    Land Tenure for the Yukon Mining and Lands viewers

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    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.

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    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.

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    To identify the limits of provincial parks in New Brunswick, to provide the public with a digital representation of the provincial parks, and to promote the use of a common geometric representation of the provincial parks of New Brunswick.

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    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.

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    The High Resolution Layer Tree Cover Density (TCD) dataset provides information on the proportional crown coverage per pixel at 10 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 dataset is provided annually starting with 2018 in 10 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. Confidence layer available for the dataset. This dataset includes data from the French Overseas Territories (DOMs).

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    High Resolution land cover characteristics for the 2018 reference year. Small woody landscape features are important vectors of biodiversity and provide information on fragmentation of habitats with a direct potential for restoration while also providing a link to hazard protection and green infrastructure, amongst others. VHR_IMAGE_2018 made available in the ESA Copernicus DWH will be the main data source for the detection of small woody features identifiable within the given image resolution. The Small Woody Features (SWFs) layer contains woody linear and patchy elements but will not be further differentiated into trees, hedges, bushes and scrub. The spatial pattern shall be limited to linear structures and isolated patches on the basis of geometric characteristics.

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    This dataset consists of the provincial dry lands which are delineated by the international boundary, the interprovincial boundaries and the coast line. It was generated from data provided by the International Boundary Commission (IBC) and from various Service New Brunswick databases.

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    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 10m pixel-based land cover map based on Sentinel satellite time series. Each pixel contains the dominant land cover among the 11 basic land cover classes. See pixel class codes in the additional information section. The product has an update cycle of three years and starting from the 2018 reference year. The update cycle for future products (from 2021 reference year onwards) will be 2 years.