20220608 15381000 1.0 FALSE 002 bathymetry10mCoverage -11.774152 -3.961436 48.443944 56.277903 1 Geographic GCS_WGS_1984 Angular Unit: Degree (0.017453) <GeographicCoordinateSystem xsi:type='typens:GeographicCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/2.6.0'><WKT>GEOGCS[&quot;GCS_WGS_1984&quot;,DATUM[&quot;D_WGS_1984&quot;,SPHEROID[&quot;WGS_1984&quot;,6378137.0,298.257223563]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],VERTCS[&quot;LAT_Depth&quot;,VDATUM[&quot;Lowest_Astronomic_Tide&quot;],PARAMETER[&quot;Vertical_Shift&quot;,0.0],PARAMETER[&quot;Direction&quot;,-1.0],UNIT[&quot;Meter&quot;,1.0]]</WKT><XOrigin>-400</XOrigin><YOrigin>-400</YOrigin><XYScale>11258999068426.238</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>8.983152841195215e-09</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><LeftLongitude>-180</LeftLongitude><WKID>4326</WKID><LatestWKID>4326</LatestWKID><VCSWKID>5861</VCSWKID><LatestVCSWKID>5861</LatestVCSWKID></GeographicCoordinateSystem> 20000000 625000 20220608 15512400 20220629 9182900 MD_Bathymetry_10m_Inshore_Ireland_WGS84_LAT_GRID GSI UUID dataset Information Management Geological Survey Ireland Head of Information Management +353-1-6782896 Block 1, Booterstown Hall Booterstown Avenue, Booterstown Co. Dublin A94 N2R6 IE support@geodata.gov.ie https://www.infomar.ie text/html INFOMAR Website INFOMAR Website 20220629 ArcGIS Metadata 1.0 Information Management Geological Survey Ireland Head of Information Management +353-1-6782896 +353-1-6782549 Block 1, Booterstown Hall, Booterstown Avenue Booterstown Co. Dublin A94 N2R6 IE support@geodata.gov.ie https://www.infomar.ie text/html INFOMAR Website INFOMAR Website Raster Dataset ArcGIS v10.x v10.x File Geodatabase Raster Dataset Advanced Mapping Services Marine Institute Section Manager +353-91-387200 +353-91-387201 Rinville Oranmore Co. Galway H91 R673 IE datarequests@marine.ie https://www.infomar.ie text/html INFOMAR Website INFOMAR Website https://experience.arcgis.com/experience/50f0522dceaa4582a808558c0cbe8bb0/ http INFOMAR Marine Data Download Portal INFOMAR Download Portal Marine and Coastal Unit Geological Survey Ireland Head of Marine and Coastal Unit IE support@geodata.gov.ie Block 1, Booterstown Hall Booterstown Avenue, Booterstown Co. Dublin A94 N2R6 +353-1-6782896 https://www.infomar.ie text/html INFOMAR Website INFOMAR Website Marine and Coastal Unit Marine and Coastal Unit Geological Survey Ireland Head of Marine and Coastal Unit +353-1-6782896 Block 1, Booterstown Hall Booterstown Avenue, Booterstown Co. Dublin A94 N2R6 IE support@geodata.gov.ie https://www.infomar.ie text/html INFOMAR Website INFOMAR Website EL_GridCoverage_IE_GSI-MI_Bathymetry_10m_Inshore_Ireland_WGS84_LAT_GRID 2022-06-23T11:00:00 2022-06-06T00:00:00 2022-06-06T00:00:00 raster digital data Bathymetry 10m Raster Dataset Inshore Ireland WGS84 LAT GRID Bathymetry 10m Inshore Ireland WGS84 LAT GRID Advanced Mapping Services Marine Institute Section Manager +353-91-387200 +353-91-387201 Rinville Oranmore Co. Galway H91 R673 IE datarequests@marine.ie https://www.infomar.ie text/html INFOMAR Website INFOMAR Website Bathymetry 10m Inshore Ireland WGS84 LAT GRID <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This data shows the depth of the seabed around Ireland between 0 and 200 metre depths. The data was collected between 2001 and 2021. </SPAN></P><P><SPAN>Bathymetry is the measurement of how deep is the sea. Bathymetry is the study of the shape and features of the seabed. The name comes from Greek words meaning "deep" and “measure". Bathymetry is collected on board boats working at sea and airplanes over land and coastline. The boats use special equipment called a multibeam echosounder. A multibeam echosounder is a type of sonar that is used to map the seabed. Sound waves are emitted in a fan shape beneath the boat. The amount of time it takes for the sound waves to bounce off the bottom of the sea and return to a receiver is used to determine water depth. </SPAN></P><P><SPAN>LiDAR (Light Detection and Ranging) is another way to map the seabed, using airplanes. Two laser light beams are emitted from a sensor on-board an airplane. The red beam reaches the water surface and bounces back; while the green beam penetrates the water hits the seabed and bounces back. The difference in time between the two beams returning allows the water depth to be calculated. LiDAR is only suitable for shallow waters (up to 30m depth). </SPAN></P><P><SPAN>The data are collected as points in XYZ format. X and Y coordinates and Z (depth). The boat travels up and down the water in a series of lines (trackline). An XYZ file is created for each line and contains thousands of points. The line files are merged together and converted into gridded data to create a Digital Terrain Model of the seabed. </SPAN></P><P><SPAN>Colours are also used to show depth ranges. Reds and browns show heights above sea-level. Yellows and greens are shallow waters up to 45m deep. Blues (up to 110m deep) and purple show deeper waters up to 200m deep. </SPAN></P><P><SPAN>This is a raster dataset. Raster data stores information in a cell-based manner and consists of a matrix of cells (or pixels) organised into rows and columns. The format of the raster is a grid. The grid cell size is 10m by 10m. This means that each cell (pixel) represents an area on the seabed of 10 metres squared. Each cell has a depth value which is the average depth of all the points located within that cell. </SPAN></P><P><SPAN>This data shows areas that have been surveyed. There are plans to fill in the missing areas between 2020 and 2026. The deeper offshore waters were mapped as part of the Irish National Seabed Survey (INSS) between 1999 and 2005. INtegrated Mapping FOr the Sustainable Development of Ireland's MArine Resource (INFOMAR) is mapping the inshore areas. (2006 - 2026).</SPAN></P></DIV></DIV></DIV> Bathymetry is a measure of how deep the sea is. Knowing the depth of the sea and its shape is vital for creating nautical charts. Accurate charts allow... Contains Irish Public Sector Data (Geological Survey Ireland & Marine Institute) licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) licence Annually Wikipedia DBpedia 2022-05-20T11:00:00 Wikipedia The Free Encyclopedia March, April, May, June, July, August, September, October, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021 Elevation bathymetry Bathymetry and Elevation water depth IE/GSI IE/MARINE seabed survey Geological Survey Ireland Marine Institute Irish National Seabed Survey INFOMAR Joint Irish Bathymetric Survey (JIBS) InisHydro CHERISH MESH Creative Commons Attribution 4.0 International (CC BY 4.0) licence conditions apply License - https://creativecommons.org/licenses/by/4.0/ Legal Code - https://creativecommons.org/licenses/by/4.0/legalcode <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Data that is produced directly by the Geological Survey Ireland (GSI) and the Marine Institute (MI) is free for use under the conditions of Creative Commons Attribution 4.0 International license. </SPAN></P><P><A href="https://creativecommons.org:443/licenses/by/4.0/" STYLE="text-decoration:underline;"><SPAN>https://creativecommons.org/licenses/by/4.0/</SPAN></A></P><P><A href="https://creativecommons.org:443/licenses/by/4.0/legalcode" STYLE="text-decoration:underline;"><SPAN>https://creativecommons.org/licenses/by/4.0/legalcode</SPAN></A></P><P><SPAN>Under the CC-BY Licence, users must acknowledge the source of the Information in their product or application. </SPAN></P><P><SPAN STYLE="font-weight:bold;">Please use this specific attribution statement: "Contains Irish Public Sector Data (Geological Survey Ireland &amp;amp; Marine Institute) licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) licence".</SPAN></P><P><SPAN>In cases where it is not practical to use the statement users may include a URI or hyperlink to a resource that contains the required attribution statement. </SPAN></P></DIV></DIV></DIV> 10 INFOMAR and INSS surveyed areas within the 0-200m inshore area around Ireland -11.679 -3.984 49.486 55.476 2001-08-27T00:00:00 2021-10-27T00:00:00 -400.23052978 63.128002166748 Esri ArcGIS 12.6.0.24783 Advanced Mapping Services Marine Institute Section Manager IE datarequests@marine.ie Rinville Oranmore Co. Galway H91 R673 +353-91-387200 +353-91-387201 https://www.infomar.ie text/html INFOMAR Website INFOMAR Website Advanced Mapping Services Description of measurements/samples, purpose for which they were collected, and the platforms/instrumentation and methods in collection Mosaic to New Raster of 326 bathymetry 10m imagery collected between 2001 and 2021 under the Irish National Seabed Survey (INSS) and INFOMAR survey programmes. 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BY_CV17_04_CelticSeaWaterford_10m_WGS84 BY_GEO17_01_Baldoyle_10m_WGS84 BY_GEO17_02_Wexford_10m_WGS84 BY_GEO17_03_BrandonBay_10m_WGS84 BY_KRY17_01_Skerries_10m_WGS84 BY_KRY17_02_CahorePointWexford_10m_WGS84 BY_KRY17_02_CarnsorePoint_10m_WGS84 BY_KRY17_02_Saltees_10m_WGS84 BY_LIR17_01_Wexford_10m_WGS84 BY_LIR17_02_DublinBay_10m_WGS84 BY_MAL17_01_SaintGeorgesChannel_10m_WGS84 BY_MAL17_01_Wexford_10m_WGS84 BY_CE18_01_CelticSeaSouth_10m_WGS84 BY_COR18_01_IrishSea_10m_WGS84 BY_CV18_01_CelticSeaWaterford_10m_WGS84 BY_CV18_02_CelticSeaCork_North_10m_WGS84 BY_CV18_02_CelticSeaCork_South_10m_WGS84 BY_CV18_03_CelticSeaNorth_10m_WGS84 BY_CV18_03_CelticSeaSouth_10m_WGS84 BY_GEO18_01_Wexford_10m_WGS84 BY_GEO18_02_CorkWaterford_10m_WGS84 BY_KRY18_01_Wexford_10m_WGS84 BY_KRY18_02_Ardmore_10m_WGS84 BY_KRY18_02_Ballycotton_10m_WGS84 BY_KRY18_02_CelticSea_10m_WGS84 BY_KRY18_02_Courtmacsherry_10m_WGS84 BY_KRY18_02_Youghal_10m_WGS84 BY_KRY18_03_AngleseyWales_10m_WGS84 BY_KRY18_04_CelticSeaCorkWaterford_10m_29N BY_KRY18_05_SmerwickHarbour_10m_WGS84 BY_LIR18_02_CelticSeaWaterfordWexford_10m_WGS84 BY_LIR18_03_CelticSea_10m_WGS84 BY_LIR18_03_Cork_10m_WGS84 BY_LIR18_03_CorkWaterford_10m_WGS84 BY_MAL18_02_CelticSeaCorkWaterford_10m_WGS84 BY_CE19_01_CelticSea_10m_WGS84 BY_CV19_01_CelticSeaEast_10m_WGS84 BY_CV19_01_CelticSeaNorth_10m_WGS84 BY_CV19_01_CelticSeaSouth_10m_WGS84 BY_CV19_02_CelticSeaCork_10m_WGS84 BY_CV19_02_CelticSeaSouth_10m_WGS84 BY_CV19_02_CelticSeaWaterford_10m_WGS84 BY_CV19_03_CelticSeaCork_10m_WGS84 BY_CV19_04_CelticSeaCork_10m_WGS84 BY_CV19_011_ClewBay_10m_WGS84 BY_GEO19_03_RoaringwaterBay_10m_WGS84 BY_GEO19_04_CelticSeaCork_10m_WGS84 BY_GEO19_05_CelticSeaCork_10m_WGS84 BY_KRY19_01_IrishSeaDundalk_10m_WGS84 BY_KRY19_02_AngleseyWales_10m_WGS84 BY_KRY19_03_CelticSeaCork_10m_WGS84 BY_KRY19_04_CelticSeaCork_10m_WGS84 BY_KRY19_05_CelticSeaCork_10m_WGS84 BY_LIR19_02_Cork_10m_WGS84 BY_LIR19_03_CelticSeaCork_10m_WGS84 BY_LIR19_03_WestCork_10m_WGS84 BY_LIR19_04_CelticSeaCork_10m_WGS84 BY_LIR19_05_CorkWaterford_10m_WGS84 BY_LIR19_06_Cork_10m_WGS84 BY_LIR19_07_Cork_10m_WGS84 BY_MAL19_01_CelticSeaCork_10m_WGS84 BY_MAL19_02_CelticSeaCork_10m_WGS84 BY_MAL19_03_CelticSeaCork_10m_WGS84 BY_MAL19_04_CelticSeaCork_10m_WGS84 BY_MAL19_05_CorkOffshore_10m_WGS84 BY_CE20_01_CelticShelf_10m_WGS84 BY_CE20_02_CelticShelf_10m_WGS84 BY_CV20_01_CelticSeaCork_10m_WGS84 BY_CV20_02_AranGrounds_10m_WGS84 BY_CV20_02_CelticSeaCork_10m_WGS84 BY_CV20_02_Kerry_10m_WGS84 BY_CV20_006_MalinSea_10m_WGS84 BY_KRY20_02_CelticSeaCork_10m_WGS84 BY_KRY20_04_Kerry_10m_WGS84 BY_KRY20_05_CelticSeaCork_10m_WGS84 BY_GEO20_01_Castletownbere_10m_WGS84 BY_LIR20_02_IrishSea_10m_WGS84 BY_LIR20_08_DalkeyIsland_10m_WGS84 BY_MAL20_01_IrishSea_10m_WGS84 BY_CE21_01_CelticSea_10m_WGS84 BY_CV21_01_CelticSeaCork_10m_WGS84 BY_CV21_02_CelticSeaCork_10m_WGS84 BY_CV21_03_CelticSeaCork_10m_WGS84 BY_CV21_04_CelticSeaCork_10m_WGS85 BY_GEO21_01_KenmareBay_10m_WGS84 BY_GEO21_02_KenmareBay_10m_WGS84 BY_KRY21_05_GalwayBay_10m_WGS84 BY_KRY21_10_BertraghboyBay_10m_WGS84 BY_LIR21_01_CelticSea_10m_WGS84 BY_LIR21_01_GlandoreBay_10m_WGS84 BY_LIR21_01_KenmareBay_10m_WGS84 Please note the following: Following installation of a new vessel positioning system in March 2011, hydrographic data acquired were vertically levelled to LAT using the UKHO VORF Model which is based on ellipsoid height. The Tidal height is derived via the Global Navigation Satellite Systems. Data acquired on the RV Celtic Voyager prior to March 2011 were levelled to LAT using shifts derived from Proudman Oceanographic tidal model. Tidal height was derived using a network of offshore and onshore tide gauges. As such data are on average 0.54m deeper than the more recent VORF levelled data. Statement on the level of data processed and quality control, limitations on reliability. See lineage statement for full data processing history. INFOMAR products generated to meet International Hydrographic Organization (IHO) standards to ensure gridded data positional accuracy in the horizontal (XY) and vertical (Z) frame. Arrangement of data Data has been processed and arranged into a 1 Band Esri Grid uploaded to ArcGIS system. Spatial and temporal resolution of data within the dataset Image resolution is a 10m raster dataset. Length of time series The surveys were-carried out between the 2001-08-27-and 2021-10-27. Amount of data expressed in number of stations, sites, observations, cores, months of recordings, miles of track or other units as appropriate Bathymetry Raster Dataset (image) is 16.55 GB containing Columns (66571) and Rows (66752). Number of Bands 1. Cell Size (X, Y) 10, 10 INSPIRE theme register INSPIRE themes 2007-03-14T00:00:00 INSPIRE Spatial Data Themes https://inspire.ec.europa.eu/theme/el text/html Elevation The Elevation of a terrain surface, whether land based or bathymetric in nature described the Earth's morphology. The Elevation data theme includes digital elevation models for land, ice and ocean surfaces both for terrestrial elevation and bathymetry, as well as shorelines. Elevation SeaDataNet Parameter Discovery Vocabulary SeaDataNet PDV 2004-06-28T16:32:47 British Oceanographic Data Centre https://vocab.nerc.ac.uk/collection/P02/current/MBAN/ text/html Bathymetry and Elevation Depth of the water column or elevation of land surface relative to sea surface, geoid or other datum Bathymetry and Elevation WIKIPEDIA THE FREE ENCYCLOPEDIA Wikipedia 2021-04-12T00:00:00 WIKIPEDIA https://en.wikipedia.org/wiki/Bathymetry text/html Bathymetry Bathymetry, from Ancient Greek βαθύς (bathus) 'deep', and μέτρον (metron) 'measure') is the study of underwater depth of ocean floors (seabed topography), lake floors, or river floors. In other words, bathymetry is the underwater equivalent to hypsometry or topography. Bathymetry GEMET - Themes, version 4.2.3, 6 Dec 2021 GEMET - Themes 2021-12-06T23:59:59 GEneral Multilingual Environmental Thesaurus (GEMET) https://www.eionet.europa.eu/gemet/en/themes/ text/html GEMET GEneral Multilingual Environmental Thesaurus submarine morphology, sea, sea bed, ocean, mapping, map, map chart SeaDataNet sea areas SDN sea areas 1954-01-01T22:00:00 British Oceanographic Data Centre C16 http://vocab.nerc.ac.uk/collection/C16/current/ text/html IHB World Seas (1953) Sea area terms from the International Hydrographic Office (IHO) 1953 list plus additional terms added under SeaDataNet governance 1.0 19540101 Atlantic Ocean, North Atlantic Ocean, North East Atlantic Ocean (limit 40W), Celtic Sea, Irish Sea and St. George's Channel Metadata Registry of the Publications Office of the EU Named Authority Lists - Country MDR-COUNTRIES 2015-03-18T00:00:00 20200624-0 https://op.europa.eu/en/web/eu-vocabularies/concept/-/resource?uri=http://publications.europa.eu/resource/authority/country/IRL text/html EU Named Authority List EU Vocabularies based on Publications Office of the EU Ireland Collins English Dictionary - Complete & Unabridged 2012 Edition Collins English Dictionary 2012-12-31T00:00:00 BASED ON THE RANDOM HOUSE UNABRIDGED DICTIONARY, © RANDOM HOUSE, INC. 2021 https://www.dictionary.com/browse/geoscience text/html Dictionary.com Dictionary.com is an online dictionary whose domain was first registered on May 14, 1995. The content for Dictionary.com is based on the latest version of Random House Unabridged Dictionary, with other content from the Collins English Dictionary, American Heritage Dictionary and others. geoscience GEMET - Themes, version 4.2.3, 6 Dec 2021 GEMET - Concepts 2021-12-06T23:59:59 4.2.3 20211206 GEneral Multilingual Environmental Thesaurus https://www.eionet.europa.eu/gemet/en/themes/ text/html GEMET Indexing, retrieval and control tool for the European Topic Centre on Catalogue of Data Sources (ETC/CDS) and the European Environment Agency (EEA) science, natural science, earth science, geology, marine geology, geography, hydrography GEMET - Themes, version 4.2.3, 6 Dec 2021 GEMET - Concepts 2021-12-06T23:59:59 GEneral Multilingual Environmental Thesaurus https://www.eionet.europa.eu/gemet/en/themes/ text/html GEMET Indexing, retrieval and control tool for the European Topic Centre on Catalogue of Data Sources (ETC/CDS) and the European Environment Agency (EEA) hydrosphere SeaVoX Platform Categories SeaVoX Platform Categories 2020-09-11T00:00:00 British Oceanographic Data Centre L06 http://vocab.nerc.ac.uk/collection/L06/current/ text/html SeaVoX Platform Categories 2-level grouping term hierarchy used for vehicles, structures or organisms capable of bearing instruments or tools for the collection of physical, chemical, geological or biological samples or data research vessel Partnership for Observation of the Global Ocean ships of interest POGO ships 2021-02-25T00:00:00 British Oceanographic Data Centre P17 http://vocab.nerc.ac.uk/collection/P17/current/ text/html Partnership for Observation of the Global Ocean ships of interest Research vessels deemed to be of interest to POGO. 'Of interest' is defined as active ocean-going research vessels greater than 60m in length RV Celtic Explorer, RV Celtic Voyager, RV Keary, RV Geo, RV Tonn, RV Lir, RV Mallet, RV Corystes, Northern Wind SeaDataNet device categories SDN devices 2021-01-25T00:00:00 British Oceanographic Data Centre L05 http://vocab.nerc.ac.uk/collection/L05/current/ text/html SDN devices Terms used to classify groups of sensors, instruments, sources of algorithmically computed data (numerical models) or samplers (collectors of water, SPM, sediment, rock, air or biota samples). multi-beam echosounders SeaVoX Device Catalogue SeaVoX Device Catalogue 2021-03-24T00:00:00 British Oceanographic Data Centre L22 http://vocab.nerc.ac.uk/collection/L22/current/ text/html SeaVoX Devices Terms for distinct sampling or measuring devices that may be identified in the real world in terms of manufacturer and model number. Kongsberg EM 1002 multibeam echosounder, Kongsberg EM 2040D multibeam echosounder, Kongsberg EM 3002D, HawkEyeIIB Bathymetric LiDAR, Teledyne Reson SeaBat T20-P, INFOMAR Website INFOMAR keywords 2022-03-15T23:59:59 2022 http://www.infomar.ie INFOMAR INtegrated Mapping FOr the Sustainable Development of Ireland’s MArine Resource text/html INFOMAR Global Change Master Directory (GCMD) Data Center Keywords 9.1.5 GCMD Data Center Keywords 2016-08-04T00:00:00 9.1.5 https://vocabs.ardc.edu.au/repository/api/lda/ardc-curated/gcmd-providers/9-1-5-2020-02-06/resource?uri=https://gcmdservices.gsfc.nasa.gov/kms/concept/4bdbb012-4aed-485b-8ee8-16519985681e text/html GCMD Data Center Keywords GCMD Data Center Keywords IE/GSI Global Change Master Directory (GCMD) Data Center Keywords 9.1.5 GCMD Data Center Keywords 2016-08-04T00:00:00 9.1.5 https://vocabs.ardc.edu.au/repository/api/lda/ardc-curated/gcmd-providers/9-1-5-2020-02-06/resource?uri=https://gcmdservices.gsfc.nasa.gov/kms/concept/4e2ac7a7-8896-41a2-acd6-b4da781ace5f GCMD Data Center Keywords GCMD Data Center Keywords text/html IE/MARINE 2020-01-31T00:00:00 bathymetry10m Mosaic Dataset Data that is produced directly by the Geological Survey Ireland (GSI) and the Marine Institute (MI) is free for use under the conditions of Creative Commons Attribution 4.0 International license. Data that is produced directly by the Geological Survey Ireland (GSI) and the Marine Institute (MI) is free for use under the conditions of Creative Commons Attribution 4.0 International license. https://creativecommons.org/licenses/by/4.0/
https://creativecommons.org/licenses/by/4.0/legalcode
Under the CC-BY Licence, users must acknowledge the source of the Information in their product or application. Please use this specific attribution statement: "Contains Irish Public Sector Data (Geological Survey Ireland & Marine Institute) licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) licence". In cases where it is not practical to use the statement users may include a URI or hyperlink to a resource that contains the required attribution statement. no limitations to public access Excess items Presence or absence of features, their attributes and relationships method of evaluating the quality of a dataset based on inspection of items within the dataset, where all data required is internal to the dataset being evaluated International Hydrographic Organization (IHO) Standards for Hydrographic Surveys (S-44) IHO Special Publication No. 44 2008-02-28T00:00:00 S-44 5th Edition IHO Standards for Hydrographic Surveys (S-44) - Classification of Surveys - Order 1a IHO S-44 Order 1a 2022-05-20T11:00:00 Order 1a This order is intended for those areas where the sea is sufficiently shallow to allow natural or man-made features on the seabed to be a concern to the type of surface shipping expected to transit the area but where the under-keel clearance is less critical than for Special Order above. Because man-made or natural features may exist that are of concern to surface shipping, a full sea floor search is required, however the size of the feature to be detected is larger than for Special Order. Under-keel clearance becomes less critical as depth increases so the size of the feature to be detected by the full sea floor search is increased in areas where the water depth is greater than 40 metres. Order 1a surveys may be limited to water shallower than 100 metres. true Dataset created from ArcGIS Model Builder using "Add Rasters" to Mosaic Dataset and "Build Pyramids" toolsets. See Geogprocessing history for more details. # -*- coding: utf-8 -*- """ Generated by ArcGIS ModelBuilder on : 2021-12-21 14:53:04 """ import arcpy def Model11(): # Create Raster Dataset 10m # To allow overwriting outputs change overwriteOutput option to True. arcpy.env.overwriteOutput = False BY_CV01_01_GalwayBay_10m_WGS84 = arcpy.Raster("D:BY_CV01_01_GalwayBay_10m_WGS84")   BY_CV02_01_DonegalBay_10m_WGS84 = arcpy.Raster("D:BY_CV02_01_DonegalBay_10m_WGS84")   BY_CV02_02_CelticSeaScallop_10m_WGS84 = arcpy.Raster("D:BY_CV02_02_CelticSeaScallop_10m_WGS84")   BY_CV02_02_CelticSeaScallop_SouthCoast_10m_WGS84 = arcpy.Raster("D:BY_CV02_02_CelticSeaScallop_SouthCoast_10m_WGS84")   BY_CV02_02_CelticSeaScallop_Tuskar_10m_WGS84 = arcpy.Raster("D:BY_CV02_02_CelticSeaScallop_Tuskar_10m_WGS84")   BY_LiDAR_2002_ClewBay_10m_LAT_WGS84 = arcpy.Raster("D:BY_LiDAR_2002_ClewBay_10m_LAT_WGS84")   BY_CE03_01_Donegal_10m_WGS84 = arcpy.Raster("D:BY_CE03_01_Donegal_10m_WGS84")   BY_CE03_02_Donegal_10m_WGS84 = arcpy.Raster("D:BY_CE03_02_Donegal_10m_WGS84")   BY_CE03_03_Donegal_10m_WGS84 = arcpy.Raster("D:BY_CE03_03_Donegal_10m_WGS84")   BY_CE03_04_Donegal_10m_WGS84 = arcpy.Raster("D:BY_CE03_04_Donegal_10m_WGS84")   BY_CE03_05_Donegal_10m_WGS84 = arcpy.Raster("D:BY_CE03_05_Donegal_10m_WGS84")   BY_CV03_01_Dublin_10m_WGS84 = arcpy.Raster("D:BY_CV03_01_Dublin_10m_WGS84")   BY_LiDAR_2003_ClewBay_10m_LAT_WGS84 = arcpy.Raster("D:BY_LiDAR_2003_ClewBay_10m_LAT_WGS84")   BY_LiDAR_2003_KillalaBay_10m_LAT_WGS84 = arcpy.Raster("D:BY_LiDAR_2003_KillalaBay_10m_LAT_WGS84")   BY_CE04_01_TraleeBay_10m_WGS84 = arcpy.Raster("D:BY_CE04_01_TraleeBay_10m_WGS84")   BY_CE04_02_Donegal_10m_WGS84 = arcpy.Raster("D:BY_CE04_02_Donegal_10m_WGS84")   BY_CE04_03_Donegal_10m_WGS84 = arcpy.Raster("D:BY_CE04_03_Donegal_10m_WGS84")   BY_CE04_04_Donegal_10m_WGS84 = arcpy.Raster("D:BY_CE04_04_Donegal_10m_WGS84")   BY_CE04_05_Donegal_10m_WGS84 = arcpy.Raster("D:BY_CE04_05_Donegal_10m_WGS84")   BY_CE04_05_Kerry_10m_WGS84 = arcpy.Raster("D:BY_CE04_05_Kerry_10m_WGS84")   BY_CV04_01_Dundalk_10m_WGS84 = arcpy.Raster("D:BY_CV04_01_Dundalk_10m_WGS84")   BY_CE05_01_Donegal_10m_WGS84 = arcpy.Raster("D:BY_CE05_01_Donegal_10m_WGS84")   BY_CE05_02_Donegal_10m_WGS84 = arcpy.Raster("D:BY_CE05_02_Donegal_10m_WGS84")   BY_CE05_03_Donegal_10m_WGS84 = arcpy.Raster("D:BY_CE05_03_Donegal_10m_WGS84")   BY_CE05_04_Donegal_Killary_10m_WGS84 = arcpy.Raster("D:BY_CE05_04_Donegal_Killary_10m_WGS84")   BY_CE05_04_Kerry_10m_WGS84 = arcpy.Raster("D:BY_CE05_04_Kerry_10m_WGS84")   BY_CV05_01_KillalaBay_10m_WGS84 = arcpy.Raster("D:BY_CV05_01_KillalaBay_10m_WGS84")   BY_CV05_02_HABMAP1_Wicklow_10m_WGS84 = arcpy.Raster("D:BY_CV05_02_HABMAP1_Wicklow_10m_WGS84")   BY_CV05_02_HABMAP2_Wexford_10m_WGS84 = arcpy.Raster("D:BY_CV05_02_HABMAP2_Wexford_10m_WGS84")   BY_CV05_02_HABMAP3_BannerBankSouth_10m_WGS84 = arcpy.Raster("D:BY_CV05_02_HABMAP3_BannerBankSouth_10m_WGS84")   BY_CV05_02_HABMAP4_BannerBankNorth_10m_WGS84 = arcpy.Raster("D:BY_CV05_02_HABMAP4_BannerBankNorth_10m_WGS84")   BY_CV05_02_HABMAP5_Wales_10m_WGS84 = arcpy.Raster("D:BY_CV05_02_HABMAP5_Wales_10m_WGS84")   BY_LiDAR_2005_MulroyBay_10m_MH_WGS84 = arcpy.Raster("D:BY_LiDAR_2005_MulroyBay_10m_MH_WGS84")   BY_CE06_01_KerryEast_10m_WGS84 = arcpy.Raster("D:BY_CE06_01_KerryEast_10m_WGS84")   BY_CV06_02_ADFISH_Wexford_10m_WGS84 = arcpy.Raster("D:BY_CV06_02_ADFISH_Wexford_10m_WGS84")   BY_IMAR06_BantryBay_10m_WGS84 = arcpy.Raster("D:BY_IMAR06_BantryBay_10m_WGS84")   BY_LiDAR_2006_DunmanusBay_10m_LAT_WGS84 = arcpy.Raster("D:BY_LiDAR_2006_DunmanusBay_10m_LAT_WGS84")   BY_LiDAR_2006_GalwayBay_10m_LAT_WGS84 = arcpy.Raster("D:BY_LiDAR_2006_GalwayBay_10m_LAT_WGS84")   BY_CE07_01_WestKerry_10m_WGS84 = arcpy.Raster("D:BY_CE07_01_WestKerry_10m_WGS84")   BY_CE07_02_Kerry_10m_WGS84 = arcpy.Raster("D:BY_CE07_02_Kerry_10m_WGS84")   BY_CV07_01_GalwayBay_10m_WGS84 = arcpy.Raster("D:BY_CV07_01_GalwayBay_10m_WGS84")   BY_CV07_01_Kish_10m_WGS84 = arcpy.Raster("D:BY_CV07_01_Kish_10m_WGS84")   BY_CV07_01_OE_EagleIsland_10m_WGS84 = arcpy.Raster("D:BY_CV07_01_OE_EagleIsland_10m_WGS84")   BY_CV07_02_Bantry_10m_WGS84 = arcpy.Raster("D:BY_CV07_02_Bantry_10m_WGS84")   BY_CV07_02_Cork_10m_WGS84 = arcpy.Raster("D:BY_CV07_02_Cork_10m_WGS84")   BY_CV07_02_Dunmanus_10m_WGS84 = arcpy.Raster("D:BY_CV07_02_Dunmanus_10m_WGS84")   BY_CV07_02_Waterford_10m_WGS84 = arcpy.Raster("D:BY_CV07_02_Waterford_10m_WGS84")   BY_CV07_CV08_JIBS_DonegalDerryAntrim_10m_WGS84 = arcpy.Raster("D:BY_CV07_CV08_JIBS_DonegalDerryAntrim_10m_WGS84")   BY_CV07_JIBS_Malin_10m_WGS84 = arcpy.Raster("D:BY_CV07_JIBS_Malin_10m_WGS84")   BY_IMAR07_GalwayBay_10m_WGS84 = arcpy.Raster("D:BY_IMAR07_GalwayBay_10m_WGS84")   BY_IMAR07_LoopHeadClare_10m_WGS84 = arcpy.Raster("D:BY_IMAR07_LoopHeadClare_10m_WGS84")   BY_CV08_01_Belmullet_10m_WGS84 = arcpy.Raster("D:BY_CV08_01_Belmullet_10m_WGS84")   BY_CV08_01_Blacksod_10m_WGS84 = arcpy.Raster("D:BY_CV08_01_Blacksod_10m_WGS84")   BY_CV08_01_DonegalSligo_10m_WGS84 = arcpy.Raster("D:BY_CV08_01_DonegalSligo_10m_WGS84")   BY_CV08_02_AranIslands_10m_WGS84 = arcpy.Raster("D:BY_CV08_02_AranIslands_10m_WGS84")   BY_CV08_02_Cork_10m_WGS84 = arcpy.Raster("D:BY_CV08_02_Cork_10m_WGS84")   BY_CV08_02_GalwayBay_10m_WGS84 = arcpy.Raster("D:BY_CV08_02_GalwayBay_10m_WGS84")   BY_CV08_02_KowloonBridgeWreck_10m_WGS84 = arcpy.Raster("D:BY_CV08_02_KowloonBridgeWreck_10m_WGS84")   BY_CV08_02_SmartBayGalwayBay_10m_WGS84 = arcpy.Raster("D:BY_CV08_02_SmartBayGalwayBay_10m_WGS84")   BY_CV08_03_Dublin_10m_WGS84 = arcpy.Raster("D:BY_CV08_03_Dublin_10m_WGS84")   BY_LiDAR_2008_Blacksod_10m_LAT_WGS84 = arcpy.Raster("D:BY_LiDAR_2008_Blacksod_10m_LAT_WGS84")   BY_LiDAR_2008_DonegalBay_10m_LAT_WGS84 = arcpy.Raster("D:BY_LiDAR_2008_DonegalBay_10m_LAT_WGS84")   BY_LiDAR_2008_GalwayBay_10m_LAT_WGS84 = arcpy.Raster("D:BY_LiDAR_2008_GalwayBay_10m_LAT_WGS84")   BY_LiDAR_2008_GreatmansBay_10m_LAT_WGS84 = arcpy.Raster("D:BY_LiDAR_2008_GreatmansBay_10m_LAT_WGS84")   BY_LiDAR_2008_LoughFoyle_10m_BL_WGS84 = arcpy.Raster("D:BY_LiDAR_2008_LoughFoyle_10m_BL_WGS84")   BY_LiDAR_2008_SligoBay_10m_LAT_WGS84 = arcpy.Raster("D:BY_LiDAR_2008_SligoBay_10m_LAT_WGS84")   BY_LiDAR_2008_TraleeBay_10m_LAT_WGS84 = arcpy.Raster("D:BY_LiDAR_2008_TraleeBay_10m_LAT_WGS84")   BY_CV09_01_ShannonEstuary_10m_WGS84 = arcpy.Raster("D:BY_CV09_01_ShannonEstuary_10m_WGS84")   BY_CV09_02_Kerry_10m_WGS84 = arcpy.Raster("D:BY_CV09_02_Kerry_10m_WGS84")   BY_CV09_02_Tralee_10m_WGS84 = arcpy.Raster("D:BY_CV09_02_Tralee_10m_WGS84")   BY_CV09_03_RosslareHarbour_10m_WGS84 = arcpy.Raster("D:BY_CV09_03_RosslareHarbour_10m_WGS84")   BY_CV09_03_Wexford_10m_WGS84 = arcpy.Raster("D:BY_CV09_03_Wexford_10m_WGS84")   BY_CV09_05_UCC_EastCoast_10m_WGS84 = arcpy.Raster("D:BY_CV09_05_UCC_EastCoast_10m_WGS84")   BY_CV09_UCC_Codling_10m_WGS84 = arcpy.Raster("D:BY_CV09_UCC_Codling_10m_WGS84")   BY_KRY09_02_Dublin_10m_WGS84 = arcpy.Raster("D:BY_KRY09_02_Dublin_10m_WGS84")   BY_CV10_01_EastCoast_10m_WGS84 = arcpy.Raster("D:BY_CV10_01_EastCoast_10m_WGS84")   BY_CV10_01_Wicklow_10m_WGS84 = arcpy.Raster("D:BY_CV10_01_Wicklow_10m_WGS84")   BY_CV10_02_CelticSea_10m_WGS84 = arcpy.Raster("D:BY_CV10_02_CelticSea_10m_WGS84")   BY_CV10_03_Youghal_10m_WGS84 = arcpy.Raster("D:BY_CV10_03_Youghal_10m_WGS84")   BY_CV10_SEAI_Belmullet_10m_WGS84 = arcpy.Raster("D:BY_CV10_SEAI_Belmullet_10m_WGS84")   BY_KRY10_01_Dublin_10m_WGS84 = arcpy.Raster("D:BY_KRY10_01_Dublin_10m_WGS84")   BY_KRY10_02_Kinsale_10m_WGS84 = arcpy.Raster("D:BY_KRY10_02_Kinsale_10m_WGS84")   BY_KRY10_03_Clifden_10m_WGS84 = arcpy.Raster("D:BY_KRY10_03_Clifden_10m_WGS84")   BY_KRY10_04_Blacksod_10m_WGS84 = arcpy.Raster("D:BY_KRY10_04_Blacksod_10m_WGS84")   BY_LiDAR_2010_AchillSound_10m_LAT_WGS84 = arcpy.Raster("D:BY_LiDAR_2010_AchillSound_10m_LAT_WGS84")   BY_LiDAR_2010_BallyconneelyBay_10m_LAT_WGS84 = arcpy.Raster("D:BY_LiDAR_2010_BallyconneelyBay_10m_LAT_WGS84")   BY_LiDAR_2010_Belmullet_10m_LAT_WGS84 = arcpy.Raster("D:BY_LiDAR_2010_Belmullet_10m_LAT_WGS84")   BY_LiDAR_2010_BertraghboyBay_10m_LAT_WGS84 = arcpy.Raster("D:BY_LiDAR_2010_BertraghboyBay_10m_LAT_WGS84")   BY_LiDAR_2010_Blacksod_10m_LAT_WGS84 = arcpy.Raster("D:BY_LiDAR_2010_Blacksod_10m_LAT_WGS84")   BY_LiDAR_2010_KilkieranBay_10m_LAT_WGS84 = arcpy.Raster("D:BY_LiDAR_2010_KilkieranBay_10m_LAT_WGS84")   BY_LiDAR_2010_LoughSwilly_10m_LAT_WGS84 = arcpy.Raster("D:BY_LiDAR_2010_LoughSwilly_10m_LAT_WGS84")   BY_LiDAR_2010_ManninBay_10m_LAT_WGS84 = arcpy.Raster("D:BY_LiDAR_2010_ManninBay_10m_LAT_WGS84")   BY_LiDAR_2010_MulroyBay_10m_LAT_WGS84 = arcpy.Raster("D:BY_LiDAR_2010_MulroyBay_10m_LAT_WGS84")   BY_CV11_01_Wicklow_10m_WGS84 = arcpy.Raster("D:BY_CV11_01_Wicklow_10m_WGS84")   BY_CV11_02_ShannonEstuary_10m_WGS84 = arcpy.Raster("D:BY_CV11_02_ShannonEstuary_10m_WGS84")   BY_CV11_02_Tralee_10m_WGS84 = arcpy.Raster("D:BY_CV11_02_Tralee_10m_WGS84")   BY_CV11_03_EastArklow_10m_WGS84 = arcpy.Raster("D:BY_CV11_03_EastArklow_10m_WGS84")   BY_CV11_03_WestArklow_10m_WGS84 = arcpy.Raster("D:BY_CV11_03_WestArklow_10m_WGS84")   BY_CV11_InisHydro_Dundalk_10m_WGS84 = arcpy.Raster("D:BY_CV11_InisHydro_Dundalk_10m_WGS84")   BY_CV11_MESH_Castletownbere_10m_WGS84 = arcpy.Raster("D:BY_CV11_MESH_Castletownbere_10m_WGS84")   BY_CV11_MESH_Kenmare_10m_WGS84 = arcpy.Raster("D:BY_CV11_MESH_Kenmare_10m_WGS84")   BY_CV11_SEAI_Belmullet_10m_WGS84 = arcpy.Raster("D:BY_CV11_SEAI_Belmullet_10m_WGS84")   BY_GEO11_01_DunLaoghaire_10m_WGS84 = arcpy.Raster("D:BY_GEO11_01_DunLaoghaire_10m_WGS84")   BY_GEO11_02_WaterfordEstuary_10m_WGS84 = arcpy.Raster("D:BY_GEO11_02_WaterfordEstuary_10m_WGS84")   BY_GEO11_03_Wexford_10m_WGS84 = arcpy.Raster("D:BY_GEO11_03_Wexford_10m_WGS84")   BY_GEO11_04_Achill_10m_WGS84 = arcpy.Raster("D:BY_GEO11_04_Achill_10m_WGS84")   BY_GEO11_05_Burtonport_10m_WGS84 = arcpy.Raster("D:BY_GEO11_05_Burtonport_10m_WGS84")   BY_GEO11_06_Dundalk_10m_WGS84 = arcpy.Raster("D:BY_GEO11_06_Dundalk_10m_WGS84")   BY_KRY11_01_Waterford_10m_WGS84 = arcpy.Raster("D:BY_KRY11_01_Waterford_10m_WGS84")   BY_KRY11_02_Wexford_10m_WGS84 = arcpy.Raster("D:BY_KRY11_02_Wexford_10m_WGS84")   BY_KRY11_03_Achill_10m_WGS84 = arcpy.Raster("D:BY_KRY11_03_Achill_10m_WGS84")   BY_KRY11_03_Killard_10m_WGS84 = arcpy.Raster("D:BY_KRY11_03_Killard_10m_WGS84")   BY_KRY11_04_Blacksod_10m_WGS84 = arcpy.Raster("D:BY_KRY11_04_Blacksod_10m_WGS84")   BY_KRY11_05_Burtonport_10m_WGS84 = arcpy.Raster("D:BY_KRY11_05_Burtonport_10m_WGS84")   BY_KRY11_06_Dundalk_10m_WGS84 = arcpy.Raster("D:BY_KRY11_06_Dundalk_10m_WGS84")   BY_CB12_01_CorkHarbour_10m_WGS84 = arcpy.Raster("D:BY_CB12_01_CorkHarbour_10m_WGS84")   BY_CV12_01_EastCoast_North_10m_WGS84 = arcpy.Raster("D:BY_CV12_01_EastCoast_North_10m_WGS84")   BY_CV12_01_EastCoast_South_10m_WGS84 = arcpy.Raster("D:BY_CV12_01_EastCoast_South_10m_WGS84")   BY_CV12_01_Wicklow_10m_WGS84 = arcpy.Raster("D:BY_CV12_01_Wicklow_10m_WGS84")   BY_CV12_02_CodlingBank_10m_WGS84 = arcpy.Raster("D:BY_CV12_02_CodlingBank_10m_WGS84")   BY_CV12_02_Lambay_10m_WGS84 = arcpy.Raster("D:BY_CV12_02_Lambay_10m_WGS84")   BY_CV12_02_WestKish_10m_WGS84 = arcpy.Raster("D:BY_CV12_02_WestKish_10m_WGS84")   BY_CV12_02_WexfordArea1_10m_WGS84 = arcpy.Raster("D:BY_CV12_02_WexfordArea1_10m_WGS84")   BY_CV12_02_WexfordArea2_10m_WGS84 = arcpy.Raster("D:BY_CV12_02_WexfordArea2_10m_WGS84")   BY_CV12_03_CorkBlock1_10m_WGS84 = arcpy.Raster("D:BY_CV12_03_CorkBlock1_10m_WGS84")   BY_CV12_03_CorkBlock2_10m_WGS84 = arcpy.Raster("D:BY_CV12_03_CorkBlock2_10m_WGS84")   BY_CV12_03_CorkHarbour_10m_WGS84 = arcpy.Raster("D:BY_CV12_03_CorkHarbour_10m_WGS84")   BY_CV12_03_Galway_10m_WGS84 = arcpy.Raster("D:BY_CV12_03_Galway_10m_WGS84")   BY_CV12_SEAI_Clare_10m_WGS84 = arcpy.Raster("D:BY_CV12_SEAI_Clare_10m_WGS84")   BY_GEO12_01_Dundalk_10m_WGS84 = arcpy.Raster("D:BY_GEO12_01_Dundalk_10m_WGS84")   BY_GEO12_02_Killary_10m_WGS84 = arcpy.Raster("D:BY_GEO12_02_Killary_10m_WGS84")   BY_GEO12_03_Burtonport_10m_WGS84 = arcpy.Raster("D:BY_GEO12_03_Burtonport_10m_WGS84")   BY_GEO12_04_CorkHarbour_10m_WGS84 = arcpy.Raster("D:BY_GEO12_04_CorkHarbour_10m_WGS84")   BY_KRY12_01_Dundalk_10m_WGS84 = arcpy.Raster("D:BY_KRY12_01_Dundalk_10m_WGS84")   BY_KRY12_02_Bunmahon_10m_WGS84 = arcpy.Raster("D:BY_KRY12_02_Bunmahon_10m_WGS84")   BY_KRY12_03_Killary_10m_WGS84 = arcpy.Raster("D:BY_KRY12_03_Killary_10m_WGS84")   BY_KRY12_05_CorkHarbour_10m_WGS84 = arcpy.Raster("D:BY_KRY12_05_CorkHarbour_10m_WGS84")   BY_CB13_01_Lambay_10m_WGS84 = arcpy.Raster("D:BY_CB13_01_Lambay_10m_WGS84")   BY_CB13_02_Dundalk_10m_WGS84 = arcpy.Raster("D:BY_CB13_02_Dundalk_10m_WGS84")   BY_CB13_03_Dingle_10m_WGS84 = arcpy.Raster("D:BY_CB13_03_Dingle_10m_WGS84")   BY_CB13_04_ShannonEstuary_10m_WGS1984 = arcpy.Raster("D:BY_CB13_04_ShannonEstuary_10m_WGS1984")   BY_CB13_05_Clare_10m_WGS84 = arcpy.Raster("D:BY_CB13_05_Clare_10m_WGS84")   BY_CV13_01_Area1CorkWaterford_10m_WGS84 = arcpy.Raster("D:BY_CV13_01_Area1CorkWaterford_10m_WGS84")   BY_CV13_01_Area2Waterford_10m_WGS84 = arcpy.Raster("D:BY_CV13_01_Area2Waterford_10m_WGS84")   BY_CV13_01_Area3Wexford_10m_WGS84 = arcpy.Raster("D:BY_CV13_01_Area3Wexford_10m_WGS84")   BY_CV13_01_Area4Cork_10m_WGS84 = arcpy.Raster("D:BY_CV13_01_Area4Cork_10m_WGS84")   BY_CV13_02_Area1Cork_10m_WGS84 = arcpy.Raster("D:BY_CV13_02_Area1Cork_10m_WGS84")   BY_CV13_02_Area2Cork_10m_WGS84 = arcpy.Raster("D:BY_CV13_02_Area2Cork_10m_WGS84")   BY_CV13_02_Area3Cork_10m_WGS84 = arcpy.Raster("D:BY_CV13_02_Area3Cork_10m_WGS84")   BY_CV13_02_Area4Cork_10m_WGS84 = arcpy.Raster("D:BY_CV13_02_Area4Cork_10m_WGS84")   BY_CV13_AranIslands_10m_WGS84 = arcpy.Raster("D:BY_CV13_AranIslands_10m_WGS84")   BY_CV13_NorthCoastAntrim_10m_WGS84 = arcpy.Raster("D:BY_CV13_NorthCoastAntrim_10m_WGS84")   BY_CV13_NorthCoastDonegal_10m_WGS84 = arcpy.Raster("D:BY_CV13_NorthCoastDonegal_10m_WGS84")   BY_CV13_SEAI1_Clare_10m_WGS84 = arcpy.Raster("D:BY_CV13_SEAI1_Clare_10m_WGS84")   BY_CV13_SEAI2_Clare_10m_WGS84 = arcpy.Raster("D:BY_CV13_SEAI2_Clare_10m_WGS84")   BY_CV13_SEAI3_Clare_10m_WGS84 = arcpy.Raster("D:BY_CV13_SEAI3_Clare_10m_WGS84")   BY_CV13_SEAI4_Clare_10m_WGS84 = arcpy.Raster("D:BY_CV13_SEAI4_Clare_10m_WGS84")   BY_CV13_SEAI4_Galway_10m_WGS84 = arcpy.Raster("D:BY_CV13_SEAI4_Galway_10m_WGS84")   BY_CV13_West_Aran_Islands_10m_WGS84 = arcpy.Raster("D:BY_CV13_West_Aran_Islands_10m_WGS84")   BY_GEO13_01_Lambay_10m_WGS84 = arcpy.Raster("D:BY_GEO13_01_Lambay_10m_WGS84")   BY_GEO13_02_Dundalk_10m_WGS84 = arcpy.Raster("D:BY_GEO13_02_Dundalk_10m_WGS84")   BY_GEO13_03_DingleBay_10m_WGS84 = arcpy.Raster("D:BY_GEO13_03_DingleBay_10m_WGS84")   BY_GEO13_04_Castletownbere_10m_WGS84 = arcpy.Raster("D:BY_GEO13_04_Castletownbere_10m_WGS84")   BY_GEO13_05_ShannonEstuary_10m_WGS84 = arcpy.Raster("D:BY_GEO13_05_ShannonEstuary_10m_WGS84")   BY_KRY13_03_Fastnet_10m_WGS84 = arcpy.Raster("D:BY_KRY13_03_Fastnet_10m_WGS84")   BY_KRY13_04_Dingle_10m_WGS84 = arcpy.Raster("D:BY_KRY13_04_Dingle_10m_WGS84")   BY_KRY13_05_ShannonEstuary_10m_WGS84 = arcpy.Raster("D:BY_KRY13_05_ShannonEstuary_10m_WGS84")   BY_CB14_01_LoughSwilly_10m_WGS84 = arcpy.Raster("D:BY_CB14_01_LoughSwilly_10m_WGS84")   BY_CB14_02_DonegalBay_10m_WGS84 = arcpy.Raster("D:BY_CB14_02_DonegalBay_10m_WGS84")   BY_CB14_03_Blacksod_10m_WGS84 = arcpy.Raster("D:BY_CB14_03_Blacksod_10m_WGS84")   BY_CB14_04_Killary_10m_WGS84 = arcpy.Raster("D:BY_CB14_04_Killary_10m_WGS84")   BY_CB14_05_Kerry_10m_WGS84 = arcpy.Raster("D:BY_CB14_05_Kerry_10m_WGS84")   BY_CB14_06_Louth_10m_WGS84 = arcpy.Raster("D:BY_CB14_06_Louth_10m_WGS84")   BY_CV14_01_AranIslands_10m_WGS84 = arcpy.Raster("D:BY_CV14_01_AranIslands_10m_WGS84")   BY_CV14_01_GalwayBay_10m_WGS84 = arcpy.Raster("D:BY_CV14_01_GalwayBay_10m_WGS84")   BY_CV14_01_GalwayBayEast_10m_WGS84 = arcpy.Raster("D:BY_CV14_01_GalwayBayEast_10m_WGS84")   BY_CV14_01_GalwayBayTestSite_10m_WGS84 = arcpy.Raster("D:BY_CV14_01_GalwayBayTestSite_10m_WGS84")   BY_CV14_02_GalwayBay_10m_WGS84 = arcpy.Raster("D:BY_CV14_02_GalwayBay_10m_WGS84")   BY_CV14_02_GalwayBayOuter_10m_WGS84 = arcpy.Raster("D:BY_CV14_02_GalwayBayOuter_10m_WGS84")   BY_CV14_02_Killary_10m_WGS84 = arcpy.Raster("D:BY_CV14_02_Killary_10m_WGS84")   BY_CV14_02_TraleeBay_10m_WGS84 = arcpy.Raster("D:BY_CV14_02_TraleeBay_10m_WGS84")   BY_CV14_03_CorkLusitania_10m_WGS84 = arcpy.Raster("D:BY_CV14_03_CorkLusitania_10m_WGS84")   BY_CV14_03_CorkSouthWest_10m_WGS84 = arcpy.Raster("D:BY_CV14_03_CorkSouthWest_10m_WGS84")   BY_CV14_SEAI_AranIslands_10m_WGS84 = arcpy.Raster("D:BY_CV14_SEAI_AranIslands_10m_WGS84")   BY_CV14_SEAI_Clare_10m_WGS84 = arcpy.Raster("D:BY_CV14_SEAI_Clare_10m_WGS84")   BY_CV14_SEAI_ClareCoast_10m_WGS84 = arcpy.Raster("D:BY_CV14_SEAI_ClareCoast_10m_WGS84")   BY_GEO14_01_Blacksod_10m_WGS84 = arcpy.Raster("D:BY_GEO14_01_Blacksod_10m_WGS84")   BY_GEO14_02_Killary_10m_WGS84 = arcpy.Raster("D:BY_GEO14_02_Killary_10m_WGS84")   BY_GEO14_03_Tralee_10m_WGS84 = arcpy.Raster("D:BY_GEO14_03_Tralee_10m_WGS84")   BY_GEO14_04_Louth_10m_WGS84 = arcpy.Raster("D:BY_GEO14_04_Louth_10m_WGS84")   BY_KRY14_01_LoughSwilly_10m_WGS84 = arcpy.Raster("D:BY_KRY14_01_LoughSwilly_10m_WGS84")   BY_KRY14_02_DonegalBay_10m_WGS84 = arcpy.Raster("D:BY_KRY14_02_DonegalBay_10m_WGS84")   BY_KRY14_03_Blacksod_10m_WGS84 = arcpy.Raster("D:BY_KRY14_03_Blacksod_10m_WGS84")   BY_KRY14_04_Killary_10m_WGS84 = arcpy.Raster("D:BY_KRY14_04_Killary_10m_WGS84")   BY_KRY14_05_TraleeBay_10m_WGS84 = arcpy.Raster("D:BY_KRY14_05_TraleeBay_10m_WGS84")   BY_KRY14_06_LoughFoyle_10m_WGS84 = arcpy.Raster("D:BY_KRY14_06_LoughFoyle_10m_WGS84")   BY_GEO15_01_BannowBay_10m_WGS84 = arcpy.Raster("D:BY_GEO15_01_BannowBay_10m_WGS84")   BY_GEO15_02_YoughalDungarvan_10m_WGS84 = arcpy.Raster("D:BY_GEO15_02_YoughalDungarvan_10m_WGS84")   BY_GEO15_03_Rosslare_10m_WGS84 = arcpy.Raster("D:BY_GEO15_03_Rosslare_10m_WGS84")   BY_GEO15_04_IrishSeaBoyneEstuary_10m_WGS84 = arcpy.Raster("D:BY_GEO15_04_IrishSeaBoyneEstuary_10m_WGS84")   BY_KRY15_01_BannowBay_10m_WGS84 = arcpy.Raster("D:BY_KRY15_01_BannowBay_10m_WGS84")   BY_KRY15_02_YoughalDungarvan_10m_WGS84 = arcpy.Raster("D:BY_KRY15_02_YoughalDungarvan_10m_WGS84")   BY_KRY15_03_Rosslare_10m_WGS84 = arcpy.Raster("D:BY_KRY15_03_Rosslare_10m_WGS84")   BY_KRY15_04_IrishSeaDrogheda_10m_WGS84 = arcpy.Raster("D:BY_KRY15_04_IrishSeaDrogheda_10m_WGS84")   BY_KRY15_05_LoughFoyle_10m_WGS84 = arcpy.Raster("D:BY_KRY15_05_LoughFoyle_10m_WGS84")   BY_TON15_01_BannowBay_10m_WGS84 = arcpy.Raster("D:BY_TON15_01_BannowBay_10m_WGS84")   BY_TON15_02_YoughalDungarvan_10m_WGS84 = arcpy.Raster("D:BY_TON15_02_YoughalDungarvan_10m_WGS84")   BY_TON15_03_Rosslare_10m_WGS84 = arcpy.Raster("D:BY_TON15_03_Rosslare_10m_WGS84")   BY_TON15_04_IrishSeaDrogheda_10m_WGS84 = arcpy.Raster("D:BY_TON15_04_IrishSeaDrogheda_10m_WGS84")   BY_CE16_01_CelticSeaSouth_10m_WGS84 = arcpy.Raster("D:BY_CE16_01_CelticSeaSouth_10m_WGS84")   BY_CLN16_01_IrishSea_10m_WGS84 = arcpy.Raster("D:BY_CLN16_01_IrishSea_10m_WGS84")   BY_CV16_01_CelticSeaCork_10m_WGS84 = arcpy.Raster("D:BY_CV16_01_CelticSeaCork_10m_WGS84")   BY_CV16_02_CelticSeaCork_10m_WGS84 = arcpy.Raster("D:BY_CV16_02_CelticSeaCork_10m_WGS84")   BY_CV16_03_Belmullet_10m_WGS84 = arcpy.Raster("D:BY_CV16_03_Belmullet_10m_WGS84")   BY_CV16_03_SEAI_Belmullet_10m_WGS84 = arcpy.Raster("D:BY_CV16_03_SEAI_Belmullet_10m_WGS84")   BY_CV16_04_CelticSeaWaterford_10m_WGS84 = arcpy.Raster("D:BY_CV16_04_CelticSeaWaterford_10m_WGS84")   BY_CV16_04_CelticSeaWestCork_10m_WGS84 = arcpy.Raster("D:BY_CV16_04_CelticSeaWestCork_10m_WGS84")   BY_CV16_05_CelticSeaWexford_10m_WGS84 = arcpy.Raster("D:BY_CV16_05_CelticSeaWexford_10m_WGS84")   BY_GEO16_01_Wicklow_10m_WGS84 = arcpy.Raster("D:BY_GEO16_01_Wicklow_10m_WGS84")   BY_GEO16_02_Arklow_10m_WGS84 = arcpy.Raster("D:BY_GEO16_02_Arklow_10m_WGS84")   BY_GEO16_03_Arklow_10m_WGS84 = arcpy.Raster("D:BY_GEO16_03_Arklow_10m_WGS84")   BY_GEO16_04_Kenmare_10m_WGS84 = arcpy.Raster("D:BY_GEO16_04_Kenmare_10m_WGS84")   BY_HM16_01_AranIslands_10m_WGS84 = arcpy.Raster("D:BY_HM16_01_AranIslands_10m_WGS84")   BY_KRY16_01_CodlingBank_10m_WGS84 = arcpy.Raster("D:BY_KRY16_01_CodlingBank_10m_WGS84")   BY_KRY16_02_Arklow_10m_WGS84 = arcpy.Raster("D:BY_KRY16_02_Arklow_10m_WGS84")   BY_KRY16_03_Arklow_10m_WGS84 = arcpy.Raster("D:BY_KRY16_03_Arklow_10m_WGS84")   BY_TON16_01_DublinWicklow_10m_WGS84 = arcpy.Raster("D:BY_TON16_01_DublinWicklow_10m_WGS84")   BY_TON16_02_WicklowWexford_10m_WGS84 = arcpy.Raster("D:BY_TON16_02_WicklowWexford_10m_WGS84")   BY_TON16_03_WexfordNorth_10m_WGS84 = arcpy.Raster("D:BY_TON16_03_WexfordNorth_10m_WGS84")   BY_CE17_01_CelticSeaSouth_10m_WGS84 = arcpy.Raster("D:BY_CE17_01_CelticSeaSouth_10m_WGS84")   BY_CE17_02_CelticSeaSouth_10m_WGS84 = arcpy.Raster("D:BY_CE17_02_CelticSeaSouth_10m_WGS84")   BY_CV17_01_CelticSeaWaterford_10m_WGS84 = arcpy.Raster("D:BY_CV17_01_CelticSeaWaterford_10m_WGS84")   BY_CV17_02_CelticSeaWaterford_10m_WGS84 = arcpy.Raster("D:BY_CV17_02_CelticSeaWaterford_10m_WGS84")   BY_CV17_03_CelticSeaWaterford_10m_WGS84 = arcpy.Raster("D:BY_CV17_03_CelticSeaWaterford_10m_WGS84")   BY_CV17_04_CelticSeaCork_10m_WGS84 = arcpy.Raster("D:BY_CV17_04_CelticSeaCork_10m_WGS84")   BY_CV17_04_CelticSeaWaterford_10m_WGS84 = arcpy.Raster("D:BY_CV17_04_CelticSeaWaterford_10m_WGS84")   BY_GEO17_01_Baldoyle_10m_WGS84 = arcpy.Raster("D:BY_GEO17_01_Baldoyle_10m_WGS84")   BY_GEO17_02_Wexford_10m_WGS84 = arcpy.Raster("D:BY_GEO17_02_Wexford_10m_WGS84")   BY_GEO17_03_BrandonBay_10m_WGS84 = arcpy.Raster("D:BY_GEO17_03_BrandonBay_10m_WGS84")   BY_KRY17_01_Skerries_10m_WGS84 = arcpy.Raster("D:BY_KRY17_01_Skerries_10m_WGS84")   BY_KRY17_02_CahorePointWexford_10m_WGS984 = arcpy.Raster("D:BY_KRY17_02_CahorePointWexford_10m_WGS984")   BY_KRY17_02_CarnsorePoint_10m_WGS84 = arcpy.Raster("D:BY_KRY17_02_CarnsorePoint_10m_WGS84")   BY_KRY17_02_Saltees_10m_WGS84 = arcpy.Raster("D:BY_KRY17_02_Saltees_10m_WGS84")   BY_LIR17_01_Wexford_10m_WGS84 = arcpy.Raster("D:BY_LIR17_01_Wexford_10m_WGS84")   BY_LIR17_02_DublinBay_10m_WGS84 = arcpy.Raster("D:BY_LIR17_02_DublinBay_10m_WGS84")   BY_MAL17_01_SaintGeorgesChannel_10m_WGS84 = arcpy.Raster("D:BY_MAL17_01_SaintGeorgesChannel_10m_WGS84")   BY_MAL17_01_Wexford_10m_WGS84 = arcpy.Raster("D:BY_MAL17_01_Wexford_10m_WGS84")   BY_CE18_01_CelticSeaSouth_10m_WGS84 = arcpy.Raster("D:BY_CE18_01_CelticSeaSouth_10m_WGS84")   BY_COR18_01_IrishSea_10m_WGS84 = arcpy.Raster("D:BY_COR18_01_IrishSea_10m_WGS84")   BY_CV18_01_CelticSeaWaterford_10m_WGS84 = arcpy.Raster("D:BY_CV18_01_CelticSeaWaterford_10m_WGS84")   BY_CV18_02_CelticSeaCork_North_10m_WGS84 = arcpy.Raster("D:BY_CV18_02_CelticSeaCork_North_10m_WGS84")   BY_CV18_02_CelticSeaCork_South_10m_WGS84 = arcpy.Raster("D:BY_CV18_02_CelticSeaCork_South_10m_WGS84")   BY_CV18_03_CelticSeaNorth_10m_WGS84 = arcpy.Raster("D:BY_CV18_03_CelticSeaNorth_10m_WGS84")   BY_CV18_03_CelticSeaSouth_10m_WGS84 = arcpy.Raster("D:BY_CV18_03_CelticSeaSouth_10m_WGS84")   BY_GEO18_01_Wexford_10m_WGS84 = arcpy.Raster("D:BY_GEO18_01_Wexford_10m_WGS84")   BY_GEO18_02_CorkWaterford_10m_WGS84 = arcpy.Raster("D:BY_GEO18_02_CorkWaterford_10m_WGS84")   BY_KRY18_01_Wexford_10m_WGS84 = arcpy.Raster("D:BY_KRY18_01_Wexford_10m_WGS84")   BY_KRY18_02_Ardmore_10m_WGS84 = arcpy.Raster("D:BY_KRY18_02_Ardmore_10m_WGS84")   BY_KRY18_02_Ballycotton_10m_WGS84 = arcpy.Raster("D:BY_KRY18_02_Ballycotton_10m_WGS84")   BY_KRY18_02_CelticSea_10m_WGS84 = arcpy.Raster("D:BY_KRY18_02_CelticSea_10m_WGS84")   BY_KRY18_02_Courtmacsherry_10m_WGS84 = arcpy.Raster("D:BY_KRY18_02_Courtmacsherry_10m_WGS84")   BY_KRY18_02_Youghal_10m_WGS84 = arcpy.Raster("D:BY_KRY18_02_Youghal_10m_WGS84")   BY_KRY18_03_AngleseyWales_10m_WGS84 = arcpy.Raster("D:BY_KRY18_03_AngleseyWales_10m_WGS84")   BY_KRY18_04_CelticSeaCorkWaterford_10m_WGS84 = arcpy.Raster("D:BY_KRY18_04_CelticSeaCorkWaterford_10m_WGS84")   BY_KRY18_05_SmerwickHarbour_10m_WGS84 = arcpy.Raster("D:BY_KRY18_05_SmerwickHarbour_10m_WGS84")   BY_LIR18_02_CelticSeaWaterfordWexford_10m_WGS84 = arcpy.Raster("D:BY_LIR18_02_CelticSeaWaterfordWexford_10m_WGS84")   BY_LIR18_03_CelticSea_10m_WGS84 = arcpy.Raster("D:BY_LIR18_03_CelticSea_10m_WGS84")   BY_LIR18_03_Cork_10m_WGS84 = arcpy.Raster("D:BY_LIR18_03_Cork_10m_WGS84")   BY_LIR18_03_CorkWaterford_10m_WGS84 = arcpy.Raster("D:BY_LIR18_03_CorkWaterford_10m_WGS84")   BY_MAL18_02_CelticSeaCorkWaterford_10m_WGS84 = arcpy.Raster("D:BY_MAL18_02_CelticSeaCorkWaterford_10m_WGS84")   BY_CE19_01_CelticSeaCork_10m_WGS84 = arcpy.Raster("D:BY_CE19_01_CelticSeaCork_10m_WGS84")   BY_CV19_01_CelticSeaEast_10m_WGS84 = arcpy.Raster("D:BY_CV19_01_CelticSeaEast_10m_WGS84")   BY_CV19_01_CelticSeaNorth_10m_WGS84 = arcpy.Raster("D:BY_CV19_01_CelticSeaNorth_10m_WGS84")   BY_CV19_01_CelticSeaSouth_10m_WGS84 = arcpy.Raster("D:BY_CV19_01_CelticSeaSouth_10m_WGS84")   BY_CV19_02_CelticSeaCork_10m_WGS84 = arcpy.Raster("D:BY_CV19_02_CelticSeaCork_10m_WGS84")   BY_CV19_02_CelticSeaSouth_10m_WGS84 = arcpy.Raster("D:BY_CV19_02_CelticSeaSouth_10m_WGS84")   BY_CV19_02_CelticSeaWaterford_10m_WGS84 = arcpy.Raster("D:BY_CV19_02_CelticSeaWaterford_10m_WGS84")   BY_CV19_03_CelticSeaCork_10m_WGS84_2_ = arcpy.Raster("D:BY_CV19_03_CelticSeaCork_10m_WGS84")   BY_CV19_04_CelticSeaCork_10m_WGS84 = arcpy.Raster("D:BY_CV19_04_CelticSeaCork_10m_WGS84")   BY_CV19_011_ClewBay_10m_WGS84 = arcpy.Raster("D:BY_CV19_011_ClewBay_10m_WGS84")   BY_GEO19_03_RoaringwaterBay_10m_WGS84 = arcpy.Raster("D:BY_GEO19_03_RoaringwaterBay_10m_WGS84")   BY_GEO19_04_CelticSeaCork_10m_WGS84 = arcpy.Raster("D:BY_GEO19_04_CelticSeaCork_10m_WGS84")   BY_GEO19_05_CelticSeaCork_10m_WGS84 = arcpy.Raster("D:BY_GEO19_05_CelticSeaCork_10m_WGS84")   BY_KRY19_01_IrishSeaDundalk_10m_WGS84 = arcpy.Raster("D:BY_KRY19_01_IrishSeaDundalk_10m_WGS84")   BY_KRY19_02_AngleseyWales_10m_WGS84 = arcpy.Raster("D:BY_KRY19_02_AngleseyWales_10m_WGS84")   BY_KRY19_03_CelticSeaCork_10m_WGS84 = arcpy.Raster("D:BY_KRY19_03_CelticSeaCork_10m_WGS84")   BY_KRY19_04_CelticSeaCork_10m_WGS84 = arcpy.Raster("D:BY_KRY19_04_CelticSeaCork_10m_WGS84")   BY_KRY19_05_CelticSeaCork_10m_WGS84 = arcpy.Raster("D:BY_KRY19_05_CelticSeaCork_10m_WGS84")   BY_LIR19_02_Cork_10m_WGS84 = arcpy.Raster("D:BY_LIR19_02_Cork_10m_WGS84")   BY_LIR19_03_CelticSeaCork_10m_WGS84 = arcpy.Raster("D:BY_LIR19_03_CelticSeaCork_10m_WGS84")   BY_LIR19_03_WestCork_10m_WGS84 = arcpy.Raster("D:BY_LIR19_03_WestCork_10m_WGS84")   BY_LIR19_04_CelticSeaCork_10m_WGS84 = arcpy.Raster("D:BY_LIR19_04_CelticSeaCork_10m_WGS84")   BY_LIR19_05_CorkWaterford_10m_WGS84 = arcpy.Raster("D:BY_LIR19_05_CorkWaterford_10m_WGS84")   BY_LIR19_06_Cork_10m_WGS84 = arcpy.Raster("D:BY_LIR19_06_Cork_10m_WGS84")   BY_LIR19_07_Cork_10m_WGS84 = arcpy.Raster("D:BY_LIR19_07_Cork_10m_WGS84")   BY_MAL19_01_CelticSeaCork_10m_WGS84 = arcpy.Raster("D:BY_MAL19_01_CelticSeaCork_10m_WGS84")   BY_MAL19_02_CelticSeaCork_10m_WGS84 = arcpy.Raster("D:BY_MAL19_02_CelticSeaCork_10m_WGS84")   BY_MAL19_03_CelticSeaCork_10m_WGS84 = arcpy.Raster("D:BY_MAL19_03_CelticSeaCork_10m_WGS84")   BY_MAL19_04_CelticSeaCork_10m_WGS84 = arcpy.Raster("D:BY_MAL19_04_CelticSeaCork_10m_WGS84")   BY_MAL19_05_CorkOffshore_10m_WGS84 = arcpy.Raster("D:BY_MAL19_05_CorkOffshore_10m_WGS84")   BY_CE20_01_CelticShelf_10m_WGS84 = arcpy.Raster("D:BY_CE20_01_CelticShelf_10m_WGS84")   BY_CE20_02_CelticShelf_10m_WGS84 = arcpy.Raster("D:BY_CE20_02_CelticShelf_10m_WGS84")   BY_CV20_01_CelticSeaCork_10m_WGS84 = arcpy.Raster("D:BY_CV20_01_CelticSeaCork_10m_WGS84")   BY_CV20_02_AranGrounds_10m_WGS84 = arcpy.Raster("D:BY_CV20_02_AranGrounds_10m_WGS84")   BY_CV20_02_CelticSeaCork_10m_WGS84 = arcpy.Raster("D:BY_CV20_02_CelticSeaCork_10m_WGS84")   BY_CV20_02_Kerry_10m_WGS84 = arcpy.Raster("D:BY_CV20_02_Kerry_10m_WGS84")   BY_CV20_006_MalinSea_10m_WGS84 = arcpy.Raster("D:BY_CV20_006_MalinSea_10m_WGS84")   BY_KRY20_02_CelticSeaCork_10m_WGS84 = arcpy.Raster("D:BY_KRY20_02_CelticSeaCork_10m_WGS84")   BY_KRY20_04_Kerry_10m_WGS84 = arcpy.Raster("D:BY_KRY20_04_Kerry_10m_WGS84")   BY_KRY20_05_CelticSeaCork_10m_WGS84 = arcpy.Raster("D:BY_KRY20_05_CelticSeaCork_10m_WGS84")   BY_LIR20_02_IrishSea_10m_WGS84 = arcpy.Raster("D:BY_LIR20_02_IrishSea_10m_WGS84")   BY_LIR20_08_DalkeyIsland_10m_WGS84 = arcpy.Raster("D:BY_LIR20_08_DalkeyIsland_10m_WGS84")   BY_MAL20_01_IrishSea_10m_WGS84 = arcpy.Raster("D:BY_MAL20_01_IrishSea_10m_WGS84")   BY_CV21_01_CelticSeaCork_10m_WGS84 = arcpy.Raster("D:BY_CV21_01_CelticSeaCork_10m_WGS84")   BY_CV21_02_CelticSeaCork_10m_WGS84 = arcpy.Raster("D:BY_CV21_02_CelticSeaCork_10m_WGS84")   BY_CV21_03_CelticSeaCork_10m_WGS84 = arcpy.Raster("D:BY_CV21_03_CelticSeaCork_10m_WGS84")   BathymetryMosaicDatabase_gdb = "D:BathymetryMosaicDatabase.gdb"   # Process: Build Pyramids (Build Pyramids) (management) bathymetryCoverage10m_2_ = arcpy.management.BuildPyramids(in_raster_dataset=bathymetry10mCoverage, pyramid_level=-1, SKIP_FIRST="NONE", resample_technique="BILINEAR", compression_type="DEFAULT", compression_quality=75, skip_existing="OVERWRITE")[0] bathymetryCoverage10m_2_ = arcpy.Raster(bathymetryCoverage10m_2_) if __name__ == '__main__': # Global Environment settings with arcpy.EnvManager(scratchWorkspace=r"Marine.gdb",  workspace=r"Marine.gdb"):   Model11() Indication that an item complies with the rules of the relevant conceptual schema method of evaluating the quality of a dataset based on inspection of items within the dataset, where all data required is internal to the dataset being evaluated INSPIRE Metadata Implementing Rules: Technical Guidelines based on EN ISO 19115 and EN ISO 19119 INSPIRE Metadata IR v1.3 INSPIRE Metadata IR 2013-11-06T00:00:00 According to Article 5(1) of Directive 2007/2/EC, Member States shall ensure that metadata are created for the spatial data sets and services corresponding to the themes listed in Annexes I, II and III, and that those metadata are kept up to date. According to Article 5(4) of Directive 2007/2/EC, Implementing Rules shall be adopted taking account of relevant, existing international standards and user requirements. In the context of metadata for spatial data and spatial data services, the standards EN ISO 19115, EN ISO 19119, and ISO 15836 (Dublin Core) have been identified as important standards. 1 Conceptual schema compliance Directive 2007/2/EC of the European Parliament and of the Council of 14 March 2007 establishing an Infrastructure for Spatial Information in the European Community (INSPIRE) INSPIRE Directive INSPIRE 2007-03-14T00:00:00 Indication that an item complies with the rules of the relevant conceptual schema method of evaluating the quality of a dataset based on inspection of items within the dataset, where all data required is internal to the dataset being evaluated INSPIRE Data Specification on Elevation - Technical Guidelines INSPIRE Data Specification for the spatial data theme Elevation INSPIRE Elevation 2013-12-10T00:00:00 The Elevation of a terrain surface, whether land based or bathymetric in nature, is one of the most important descriptors of the Earth‘s morphology. Recognising the specific role that elevation may play in engineering and spatial analysis, the related data theme has been included in Annex II of INSPIRE. The Elevation data theme includes digital elevation models for land, ice and ocean surfaces both for terrestrial elevation and bathymetry, as well as shorelines. 1 Conceptual schema compliance Directive 2007/2/EC of the European Parliament and of the Council of 14 March 2007 establishing an Infrastructure for Spatial Information in the European Community (INSPIRE) INSPIRE Directive INSPIRE 2007-03-14T00:00:00 Indication of if an item is conforming to its value domain (correctness indicator) method of evaluating the quality of a dataset based on inspection of items within the dataset, where all data required is internal to the dataset being evaluated ArcGIS Raster Raster Raster 2019-09-06T00:00:00 Valid value domains for each field in terms of length, data type and content. 1 Value domain conformance Geographical Information Systems (GIS) Raster Data Model GIS Raster Data Model Raster 2019-09-06T00:00:00 indication that items are stored in conflict with the physical structure of the data set method of evaluating the quality of a dataset based on inspection of items within the dataset, where all data required is internal to the dataset being evaluated OpenGIS® Web Map Server Implementation Specification Web Map Service (WMS) WMS 2006-03-15T00:00:00 A Web Map Service (WMS) is a standard protocol developed by the Open Geospatial Consortium in 1999 and last updated in 2006 for serving georeferenced map images over the Internet. These images are typically produced by a map server from data provided by a GIS database. 1 physical structure conflicts Open Geospatial Consortium (OpenGIS) Standards OGC® Standards OGC 2019-09-06T00:00:00 http://www.opengeospatial.org/standards text/html OGC® Standards and Supporting Documents OGC® Standards and Supporting Documents Descriptions of OGC standards Closeness of reported coordinate values to values accepted as or being true method of evaluating the quality of a dataset based on inspection of items within the dataset, where all data required is internal to the dataset being evaluated Positioning - Total Horizontal Uncertainty Positioning THU THU 2019-09-06T00:00:00 The uncertainty of a position is the uncertainty at the position of the sounding or feature within the geodetic reference frame. Positions should be referenced to a geocentric reference frame based on the International Terrestrial Reference System (ITRS) e.g. WGS84. If, exceptionally, positions are referenced to the local horizontal datum, this datum should be tied to a geocentric reference frame based on ITRF. 1 Error indicator International Hydrographic Organization (IHO) Standards for Hydrographic Surveys IHO S-44 Standards for Hydrographic Surveys IHO S-44 2008-02-29T00:00:00 Closeness of reported coordinate values to values accepted as or being true method of evaluating the quality of a dataset based on inspection of items within the dataset, where all data required is internal to the dataset being evaluated Positioning - Total Vertical Uncertainty (Depths) Positioning TVU TVU 2019-09-06T00:00:00 Vertical uncertainty is to be understood as the uncertainty of the reduced depths. In determining the vertical uncertainty the sources of individual uncertainties need to be quantified. All uncertainties should be combined statistically to obtain a total vertical uncertainty (TVU). 1 Error indicator International Hydrographic Organization (IHO) Standards for Hydrographic Surveys IHO S-44 Standards for Hydrographic Surveys IHO S-44 2008-02-29T00:00:00 Count of the incorrectly classified features in attribute table method of evaluating the quality of a dataset based on inspection of items within the dataset, where all data required is internal to the dataset being evaluated CharacterString [iU] 99.9% 0 Number of incorrecty classified features ArcGIS Mosaic Dataset Mosaic Dataset 2019-09-06T00:00:00 Half length of the interval defined by an upper and a lower limit, in which the true value for the quantitative attribute lies with probability 99.8%. method of evaluating the quality of a dataset based on inspection of items within the dataset, where all data required is internal to the dataset being evaluated Bathymetric Attribution Model (BAM) Bathymetric Attribution Model (BAM) BAM 2019-09-06T00:00:00 Bathymetric Attribution Model requires metadata that should include: the model resolution; the computation method; the underlying data density; uncertainty estimate/uncertainty surface for the model; and a description of the underlying data. 1 Attribute value uncertainty at 99.8% significance level International Hydrographic Organization Standards for Hydrographic Surveys (S-44) IHO Standards for Hydrographic Surveys (S-44) IHO S-44 2008-02-29T00:00:00 Correctness of the temporal references of an item (reporting of error in time measurement) method of evaluating the quality of a dataset based on inspection of items within the dataset, where all data required is internal to the dataset being evaluated Survey Time Period Survey Time Period Survey Time Period 2019-09-06T00:00:00 Coordinated Universal Time (abbreviated to UTC) is the primary time standard by which the world regulates clocks and time. It is within about 1 second of mean solar time at 0° longitude, and is not adjusted for daylight saving time. In some countries where English is spoken, the term Greenwich Mean Time (GMT) is often used as a synonym for UTC and predates UTC by nearly 300 years. All timestamps associated with multi-beam echosounder measure accuracy accordingly. 1 time accuracy at 99.8% significance level Coordinated Universal Time (UTC) Primary Standard Time Coordinated Universal Time (UTC) UTC 2019-09-06T00:00:00 indication of if an item is not in conformance with its value domain method of evaluating the quality of a dataset based on inspection of items within the dataset, where all data required is internal to the dataset being evaluated YYYY-MM-DD YYYY-MM-DD YYYY-MM-DD 2019-09-06T00:00:00 Calendar date representations are in the form shown in the adjacent box. [YYYY] indicates a four-digit year, 0000 through 9999. [MM] indicates a two-digit month of the year, 01 through 12. [DD] indicates a two-digit day of that month, 01 through 31. For example, "12 June 2013" may be represented as "2013-06-12" 1 Value domain non-conformance International Organization for Standardization (ISO) 8601-1 Date and Time Format ISO 8601-1:2019 ISO 8601 2019-01-01T00:00:00 Data is in conformance with the value domain method of evaluating the quality of a dataset based on inspection of items within the dataset, where all data required is internal to the dataset being evaluated ArcGIS Bathymetry Product ArcGIS BY ArcGIS Raster 2022-05-20T11:00:00 Bathymetry data product 1 Indication of if an item is conforming to its value domain European Petroleum Survey Group EPSG 2007-08-27T00:00:00 EPSG Code EPSG 6.14(3.0.1) European Petroleum Survey Group EPSG 2007-08-27T00:00:00 EPSG Code EPSG 6.14(3.0.1) EL_GridCoverage_IE_GSI-MI_Bathymetry_bathymetry10mMosaic Pixel 66752 66571 0.000117 0.000117 32 1 Upper Left FALSE LZ77 1 pixel codes FGDBR TRUE row and column 0.000117 0.000117 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