20230206 14400300 1.0 TRUE TRUE EEA_coastline_v2017 The EEA coastline dataset is created for detailed analysis with a Minimum Mapping Unit of e.g. 1:100000, for geographical Europe. The coastline is a hybrid product obtained from satellite imagery from two projects: 1) EUHYDRO (Pan-European hydrographic and drainage database) [http://land.copernicus.eu/pan-european/satellite-derived-products/eu-hydro/view] and 2) GSHHG (A Global Self-consistent, Hierarchical, High-resolution Geography Database)[http://www.soest.hawaii.edu/pwessel/gshhg/]. The defining criteria was altitude level = 0 from EUDEM [http://land.copernicus.eu/pan-european/satellite-derived-products/eu-dem/view]. This coastline dataset is in a polyline format where it is possible to identify the source of each segment. EUHYDRO coastline elevation EU-DEM oceans marine https://sdi.eea.europa.eu/catalogue/srv/api/records/db4cfdd3-0687-4460-a2c7-fd10ca29c214 @EEA /9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADIASwDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iii gAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKA CiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK KKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoo ooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiii gAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKA CiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK KKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoo ooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiii gAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiikJABJOAOpNAEZ YiYL6qcfUf8A66lqFcuQ54UfdH9TU1AkFFFFAwooooAKKKKACiiigAooooAKKKKACiiigAooooAK KKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKhf5pUQ9MEkeuMf41NUR/4+V/3W/m KAZLRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUV X+0QGVIhMnmSKXRNwyyjGSB3HI/MUAWKKY7pGpZ2VVHUscAVjw68J7oxLp96LcxiRbsovlMpAOR8 27v6dqai3sJtLc26Kg89SkToGkSQjaycjBGc/Sp6QwooooAKKKKACoRg3BI7AKT+v+frU1Vo9y3D jbtU5PXIPv7U0JlmiiikMKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACi iigAqnqEd1Lp80dlIkdyyERu+cA++KuUUJ2dxNXMRkk0/RFtpzDK+0xRRkMQ4AJCknJY4HJ74Jx2 qG5u7mO3ijtdOMZheNXKgKqqRyIs4yeFHIA+bvjFbN1FJNbukMzQuw4dcZH5g1naIjCF1udwvVY+ aryh2AzgHIAyCFyMj1rRPS7Ia6Imt7SR7u6urqCHzJCI48Et+6AyAc8A7i2ce3XFadFNZlQbmIA9 Sahu5aVhQAAABgDtS0UUhhRRRQAUUU1mCDLHigCPzWyf3ZK5IyDz+VRktvDqsgPA2kDBH9KliBy5 II3NkZ+lS0xBRRRSGFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQA UUUUAYtnfapd2qXKWUCLICRHLOyuvPQ/IRn6cemetX4Yn8xp5iFd0VSituVcZPBwD3/QVU0a/tLq 3MUU0BuYvmuIY5Q5jZiTzgnGTk4pt+zXUy2sNuJig3t5jMsQyQuGxwx2sx2H0HTg1bXvWtYhPS97 ka3Otzxz7LK0gDc28jTGTA55dABz0OFJ64z3qoLe31i0gluwb5bWVpITJGoExCsjZA4Lfe7DqOOK 2o7ac2Tw3VwJpJFIZlTy15GMKASQPqSfesnS7b+wfD1rY3+JJCzBhbIzLuJLEjuB7nufcVSat7u5 LXcvW1yYFELB3ijwgnLbuewbndnBGSa1a5LTNOkvPNminIgX91BO5Dyz7Nw/ff3grdOcnbyeecu7 12+uZ7NdQ0qeAyQsRGtyFAuFLLt+jZGCSD37VXsuZ2Qvacq1OssryWe+1J5SI7a3dYkVuDwu5nOe gO4Y9lz3q5Hd202zy7iN94ym1gdw68etct4X0vTNS05NUurZ5buZdlzHcytKqOrnI2v6MCQSMjPB xXVyiCQiOURseoVsE9D2+mf1qKiUZWLg21cmyM4zzUT4E6Me4IHsaaIbe3/eBEQ427u+PTNJ+9ki X7mGAyQTnHrUFFmiiikMKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACii igAooooAKKKKAKkthaz3MU8tvG8sedjleRnGf/QV/IelWFRUGEUKPQDFKGDdCD24p1F2AU0qpIJA JHQ4p1FAEccaRRrHGqqijAVRgD8KzrvSUnn+0QSm2nON7pEjeYASQG3A+rdMH5jWrRTTaE0mZcOi WEfzvbRPMR87sg+c7dvI6dOAOw4qW00+O3kaVsPO2CZCoB4GMeuKv1FKhkUpkBSMH1p8ze7FypbA p8xt+OBkD/H9KlpAMDA6UtSUFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFF ABRRRQAUUUUAFFFFACEgDJOBUJxJMFByqjJwe56f1oopoBxhA5T5W9R3+tKsnzbWGG7eh+lFFAiS ovNyCVRmA7jv9PWiigGIJcfeUqPU9P8A61SFlVdxIA9aKKGCGedH/e/Q0olQkANyfaiinYVySiii pKCiiigAooooAKKKKACiiigAooooAKKKKACiiigD/9k=