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land use

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    Corine Land Cover (CLC) 2012 and CLC change 2006-2012 are two of the datasets produced within the frame of the Initial Operations of the Copernicus programme (the European Earth monitoring programme previously known as GMES) on land monitoring. Corine Land Cover (CLC) provides consistent information on land cover and land cover changes across Europe. This inventory was initiated in 1985 (reference year 1990) and established a time series of land cover information with updates in 2000 and 2006 being the last one the 2012 reference year. CLC products are based on photointerpretation of satellite images by national teams of participating countries - the EEA member and cooperating countries - following a standard methodology and nomenclature with the following base parameters: 44 classes in the hierarchical three level Corine nomenclature; minimum mapping unit (MMU) for status layers is 25 hectares; minimum width of linear elements is 100 metres; minimum mapping unit (MMU) for Land Cover Changes (LCC) for the change layers is 5 hectares. The resulting national land cover inventories are further integrated into a seamless land cover map of Europe. Land cover and land use (LCLU) information is important not only for land change research, but also more broadly for the monitoring of environmental change, policy support, the creation of environmental indicators and reporting. CLC datasets provide important datasets supporting the implementation of key priority areas of the Environment Action Programmes of the European Union as protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive, among others. More about the Corine Land Cover (CLC) and Copernicus land monitoring data in general can be found at http://land.copernicus.eu .

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    Service for making available INSPIRE themes

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    Non-Forest cover polygons interpreted from aerial imagery on a 10 year cycle for the province of New Brunswick. The attributes contain information that describes the non-forest characteristics for that polygon area including agriculture, settlement, utility corridors, etc.

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    **NOTE: Not for operational use. This dataset is the result of an analysis (Aug 2018) of many input layers and as such the accuracy, currency, and completeness of the dataset cannot be relied upon for operational or management decision making.** Land designations that contribute to conservation are spatially-defined areas established through legislation or purchased for the protection of nature and cultural values, the conservation of biological diversity and ecosystem services and the management of natural resources. Over 40 land designations were divided into three broad categories: - **Protected Lands** includes all Parks & Protected Areas and Other Protected Lands with the primary purpose of the long-term conservation of nature and cultural values. - **Resource Exclusion Areas** includes all designations that fully exclude one or two resource activities for the purpose of conservation. - **Spatially Managed Areas** includes all spatial designations managing or limiting development or a resource activity for the purpose of conservation, or a spatial management regime in place to preserve specified elements of biodiversity but where activity is still allowed to occur. Land designations layers were combined into a single layer, with overlaps removed such that areas with overlapping designations were assigned to the highest conservation contribution category. **Data sources:** A list of the source datasets, including links to their sources, more information, and data processing steps is available [**here**](https://raw.githubusercontent.com/bcgov/designatedlands/v0.1.0/sources.csv). Details on methods are available [**here**](https://github.com/bcgov/designatedlands). Previous versions of the data are available [**here**](https://github.com/bcgov/designatedlands/releases).

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    The Ecological Land Classification (ELC version 2015) for Nova Scotia provides a hierarchical mapping of the province's forest ecosystems into ecosections, ecodistricts and ecoregions. It includes interpretation of the dominant natural disturbance regimes and potential climax forests at the ecosection level.

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    Ontario Land Cover (OLC) is a primary data layer. It provides a comprehensive, standardized, landscape level inventory of Ontario’s natural, rural and anthropogenic (human made) features.

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    Water quality sample year information to be used in conjunction with CMI Water Quality Sampling Sites. Distributed from GeoYukon by the Government of Yukon . Discover more digital map data and interactive maps from Yukon's digital map data collection. For more information: geomatics.help@yukon.ca

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    For most recent Ecological Land Classification data, see: https://data.novascotia.ca/d/q6zd-39t3 The Ecological Land Classification (ELC) for Nova Scotia provides a hierarchical mapping of the province's forest ecosystems into ecosections, ecodistricts and ecoregions. It includes interpretation of the dominant natural disturbance regimes and potential climax forests at the ecosection level.

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    The Copernicus High Resolution Forest Layer Tree Cover Change Mask (TCCM) 2015-2018 raster product provides information on the change between the reference years 2015 and 2018 and consists of 4 thematic classes (unchanged areas with no tree cover / new tree cover / loss of tree cover / unchanged areas with tree cover) at 20m spatial resolution and covers EEA38 area and the United Kingdom. The production of the High Resolution Forest layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme. The High Resolution Forest product consists of three types of (status) products and additional change products. The status products are available for the 2012, 2015 and 2018 reference years: 1. Tree cover density providing level of tree cover density in a range from 0-100%; 2. Dominant leaf type providing information on the dominant leaf type: broadleaved or coniferous; 3. A Forest type product. The forest type product allows to get as close as possible to the FAO forest definition. In its original (20m) resolution it consists of two products: 1) a dominant leaf type product that has a MMU of 0.5 ha, as well as a 10% tree cover density threshold applied, and 2) a support layer that maps, based on the dominant leaf type product, trees under agricultural use and in urban context (derived from CLC and high resolution imperviousness 2009 data). For the final 100m product trees under agricultural use and urban context from the support layer are removed.

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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.