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Landscape and biodiversity indicators have been identified as crucial for detecting changes in the Land Cover/Habitat map target classes and evaluating threats and intense impacts on certain areas of a site. This analysis is useful to prevent future ecosystem degradation, update the preservation strategies or take immediate mitigation actions.
\n\nRegarding Lake Prespa, Landscape and biodiversity indicators were generated for 2012. The Land Cover/Habitat map and Object-ID raster files were used as input to estimate the indicators. The outputs include a raster file of each indicator and a file “indValues.csv” containing the values of indicators per object.
\n\nThe calculated indicators are: (i) PLAND; (ii) PD; (iii) SHAPE_MN; (iv) CA; (v) MPS; (vi) MESH; (vii) AWMPFD. Indicator files are accompanied by INSPIRE metadata XML. Detailed information can be found in the “Readme.pdf” included in the zip containing the dataset.
", "funding": [ { "award": { "acronym": "ECOPOTENTIAL", "id": "00k4n6c32::641762", "identifiers": [ { "identifier": "https://cordis.europa.eu/projects/641762", "scheme": "url" } ], "number": "641762", "program": "H2020", "title": { "en": "ECOPOTENTIAL: IMPROVING FUTURE ECOSYSTEM BENEFITS THROUGH EARTH OBSERVATIONS" } }, "funder": { "id": "00k4n6c32", "name": "European Commission" } } ], "languages": [ { "id": "eng", "title": { "en": "English" } } ], "publication_date": "2019-09-10", "publisher": "Zenodo", "resource_type": { "id": "dataset", "title": { "de": "Datensatz", "en": "Dataset" } }, "rights": [ { "description": { "en": "The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited." }, "icon": "cc-by-icon", "id": "cc-by-4.0", "props": { "scheme": "spdx", "url": "https://creativecommons.org/licenses/by/4.0/legalcode" }, "title": { "en": "Creative Commons Attribution 4.0 International" } } ], "subjects": [ { "subject": "Lake Prespa" }, { "subject": "landscape and biodiversity indicators" }, { "subject": "PLAND" }, { "subject": "PD" }, { "subject": "SHAPE_MN" }, { "subject": "CA" }, { "subject": "MPS" }, { "subject": "MESH" }, { "subject": "AWMPFD" }, { "subject": "mountains" } ], "title": "Landscape and biodiversity indicators for Lake Prespa" }, "parent": { "access": { "owned_by": { "user": 75826 } }, "communities": { "default": "98589274-1d6c-4647-9970-e0bad44e1ceb", "entries": [ { "access": { "member_policy": "open", "members_visibility": "public", "record_policy": "open", "review_policy": "open", "visibility": "public" }, "children": { "allow": false }, "created": "2019-03-29T14:18:08.140398+00:00", "custom_fields": {}, "deletion_status": { "is_deleted": false, "status": "P" }, "id": "98589274-1d6c-4647-9970-e0bad44e1ceb", "links": {}, "metadata": { "curation_policy": "The community is meant to collect all final products of Ecopotential project. Input used to produce final products should not be included if archived elsewhere. In such a case, only the references (DOi, URL, accession number and reference to the DB) to the input should be included.
\r\n\r\nEach final product should come with the XML inspire metadata. Further data curator should add all minimal zenodo metadata information plus the link to the Ecopotential project in the field of the funder and add a minimal set of keywords:
\r\n\r\nSubmitter are encouraged to add as further keywords as they think fit.
\r\n\r\nHere suggested list :
\r\n\r\nSurface Soil Moisture | \r\n\t\t
Spectral Soil Quality Index (SSQI) | \r\n\t\t
Surface Albedo | \r\n\t\t
Land Surface Temperature (LST) | \r\n\t\t
Digital Elevation Model (DEM) | \r\n\t\t
Bare Ground circa 2010 | \r\n\t\t
Slope | \r\n\t\t
Land cover/land use | \r\n\t\t
Land Cover Change (LCC) | \r\n\t\t
Corine Land Cover | \r\n\t\t
Habitat Mapping | \r\n\t\t
Normalized Burn Ratio | \r\n\t\t
Leaf area index (LAI) | \r\n\t\t
Above ground biomass (AGB) | \r\n\t\t
NDVI, EVI | \r\n\t\t
Landscape (e.g. Fragmentation) | \r\n\t\t
Forest biomass (shrub) | \r\n\t\t
Tree Biomass | \r\n\t\t
Forest disturbances (annual) | \r\n\t\t
Herbaceous biomass | \r\n\t\t
Gross Primary Production (GPP) | \r\n\t\t
Vegetation wetness (Vegetation water content (VWC) or Equivalent Water Thickness (EWT), NDWI, Tasseled Cap); NDMI | \r\n\t\t
Vegetation height and structure (e.g. Canopy Height Models (CHM)) | \r\n\t\t
Phenology (start and end of the season, length of the season) | \r\n\t\t
Fire ocurrence | \r\n\t\t
Normalized Burn Ratio | \r\n\t\t
NDLI | \r\n\t\t
Tree cover density | \r\n\t\t
Herbaceous / grass nutrients (leaf N) | \r\n\t\t
Vegetaton composition (annual vs. woody veg. Genus or family) | \r\n\t\t
Woody vegetation biomass and cover --> FROM LAND COVER | \r\n\t\t
Vegetation classification (Classes: Dead spruce, alive spruce, beech, grasses) | \r\n\t\t
Water bodies delineation (coverage) | \r\n\t\t
Water turbidity (inland waters) | \r\n\t\t
Hydroperiod (seasonal water bodies) | \r\n\t\t
Snow cover maps (area+snow status wet/dry) | \r\n\t\t
Snow cover (snow cover maps, duration maps) | \r\n\t\t
Instant snow cover maps | \r\n\t\t
Mapping submerged macrophytes | \r\n\t\t
Shoreline change detection | \r\n\t\t
Bathymetry (marshes, inland waters) | \r\n\t\t
Sea Surface Temperature | \r\n\t\t
Sea surface Wind Speed and Direction | \r\n\t\t
Marine oil spill detection and characterization | \r\n\t\t
Significant wave height (Sea Level - copernicus? - Some measure of Signifigant wave height would be better) | \r\n\t\t
Currents | \r\n\t\t
Ocean Colour | \r\n\t\t
Salinity | \r\n\t\t
Sea ice thickness | \r\n\t\t
Coloured Dissolved Organic Matter (CDOM) | \r\n\t\t
Chlorophyll-a Concentration | \r\n\t\t
ECOPOTENTIAL (http://www.ecopotential-project.eu/) is a large European-funded H2020 project that focuses its activities on a targeted set of internationally recognised Protected Areas, blending Earth Observations from remote sensing and field measurements, data analysis and modelling of current and future ecosystem conditions and services. ECOPOTENTIAL considers cross-scale geosphere-biosphere interactions at regional to continental scales, addressing long-term and large-scale environmental and ecological challenges.
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