2006040412511400FALSE20060904123959002006090412402200DefineProjection C:\temp\corilis_r05l1_c1.tif PROJCS['ETRS_1989_LAEA',GEOGCS['GCS_ETRS_1989',DATUM['D_ETRS_1989',SPHEROID['GRS_1980',6378137.0,298.257222101]],PRIMEM['Greenwich',0.0],UNIT['Degree',0.0174532925199433]],PROJECTION['Lambert_Azimuthal_Equal_Area'],PARAMETER['False_Easting',4321000.0],PARAMETER['False_Northing',3210000.0],PARAMETER['Central_Meridian',10.0],PARAMETER['Latitude_Of_Origin',52.0],UNIT['Meter',1.0]] C:\temp\corilis_r05l1_c1.tif{1472B0E5-2F04-4143-931B-45D16D859658}Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 2; ESRI ArcCatalog 9.1.0.722caREQUIRED: A brief narrative summary of the data set.REQUIRED: A summary of the intentions with which the data set was developed.REQUIRED: The name of an organization or individual that developed the data set.REQUIRED: The date when the data set is published or otherwise made available for release.ebk1km1.tifremote-sensing image\\ETCTE23\D$\TEMP\EBK1KM\ebk1km1.tifebk1km1.tifREQUIRED: The basis on which the time period of content information is determined.REQUIRED: The year (and optionally month, or month and day) for which the data set corresponds to the ground.REQUIRED: The frequency with which changes and additions are made to the data set after the initial data set is completed.-46.61457758.70096470.92613726.9204781547000.0000006526000.000000941000.0000005309000.000000REQUIRED: Reference to a formally registered thesaurus or a similar authoritative source of theme keywords.REQUIRED: Common-use word or phrase used to describe the subject of the data set.REQUIRED: Restrictions and legal prerequisites for accessing the data set.REQUIRED: Restrictions and legal prerequisites for using the data set after access is granted.Raster DatasetMicrosoft Windows XP Version 5.1 (Build 2600) Service Pack 2; ESRI ArcCatalog 9.1.0.72211_3_AcidTest120060101-46.61457758.70096470.92613726.9204781-46,614577403311358,700963711607870,926137249332726,9204776121667This layer defines homogeneous areas as function of height, slope and distance to the sea.2500001000LEACMountainsElevationThe Elevation Breakdown is used to allocate Land Cover Changes into homogeneous areas as function of height, slope and distance to the sea. It defines five relief typologies: 1) Low coasts, 2) High Coasts, 3) Inlands, 4) Uplands and 4) Mountains. The previous enumeration corresponds to values in the grid.European Topic Centre on Terrestrial Environment (ETC-TE)Autonomous University of Barcelona (UAB), Building C - Faculty of Sciences, Torre C5-S, 4th floorBellaterraBarcelonaE-08193Spainetcte@uab.es-46.61457758.70096470.92613726.9204781LEACMountainsElevationcaFGDC Content Standards for Digital Geospatial MetadataFGDC-STD-001-1998local timeREQUIRED: The person responsible for the metadata information.REQUIRED: The organization responsible for the metadata information.REQUIRED: The mailing and/or physical address for the organization or individual.REQUIRED: The city of the address.REQUIRED: The state or province of the address.REQUIRED: The ZIP or other postal code of the address.REQUIRED: The telephone number by which individuals can speak to the organization or individual.20060904http://www.esri.com/metadata/esriprof80.htmlESRI Metadata ProfileEEA-MSGI/ISO19115 (First Edition)1.1adatasetDownloadable Data0,0000,000002file://\\ETCTE23\D$\TEMP\EBK1KM\ebk1km1.tifLocal Area Network0,000Raster DatasetRasterPixel436849791000,0000001000,00000081Upper LeftTRUELZW1pixel codesTRUETIFF200609042149791000Meter1 Meter = 1 Meter(s)43681000Meter1 Meter = 1 Meter(s)row and column1000,0000001000,000000metersLambert Azimuthal Equal Area10.00000052.0000004321000.0000003210000.000000GCS_ETRS_1989ETRS_1989_LAEAD_ETRS_1989Geodetic Reference System 806378137.000000298.257222Explicit elevation coordinate included with horizontal coordinates1.000000EEABriefAbstractBrfAbsEEABrief narrative summary of the content of the dataset (max. 100 characters)Metadata/dataIdInfo/EEADatasetChangesDataChgEEAChanges since last version of datasetMetadata/dqInfo/007European Topic Centre on Terrestrial Environment (ETC-TE)Autonomous University of Barcelona (UAB), Building C - Faculty of Sciences, Torre C5-S, 4th floorBellaterraBarcelonaE-08193Spainetcte@uab.esFerran PáramoThis version of the Elvation Breakdown was created using the LEAC 1 Km grid as reference system. Areas next to the sea (<10 km from the coastline) were considered Coasts and splited in two categories: Low coasts (< 50 m) and High coasts (> 50 m). Inlands were the areas between 0 and 200 m outside the coastal strip. Uplands were the zones between 200 - 500 m plus the flat areas between 500 and 1000. The slopy areas between 500 and 1000 m and all the areas over 1000 m were classified as Mountains (see enclosed PDF file for further details).No changes were doneETRS_1989_LAEAD_ETRS_1989GRS_19806378137Degrees3,35281068118232E-03Lambert_Azimuthal_Equal_Area105243210003210000MeterETRS_1989_LAEA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Band_1Table5ObjectIDObjectIDOID400Internal feature number.ESRISequential unique whole numbers that are automatically generated.ValueValueInteger000RedRedDouble000GreenGreenDouble000BlueBlueDouble000CountCountDouble000Metadata imported.C:\Temp\test_CopyRaster.TIF.xml20060404