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<md:lastName>Blok</md:lastName>
<md:firstName>Carlette N</md:firstName>
<md:eMail>carletteblok@gmail.com</md:eMail>
<md:orcid>0000-0002-7876-994X</md:orcid>
<md:affiliation id="dataset.author108453.inst20410">
<md:name>The University Centre in Svalbard</md:name>
</md:affiliation>
</md:author>
<md:author id="dataset.author108454">
<md:lastName>Missana</md:lastName>
<md:firstName>Amandine F J M</md:firstName>
<md:eMail>amandine.missana@ntnu.no</md:eMail>
<md:affiliation id="dataset.author108454.inst20410">
<md:name>The University Centre in Svalbard</md:name>
</md:affiliation>
<md:affiliation id="dataset.author108454.inst20195">
<md:name>Norwegian University of Science and Technology</md:name>
<md:ROR>https://ror.org/05xg72x27</md:ROR>
</md:affiliation>
</md:author>
<md:author id="dataset.author81304">
<md:lastName>Rubensdotter</md:lastName>
<md:firstName>Lena</md:firstName>
<md:eMail>lena.rubensdotter@ngu.no</md:eMail>
<md:affiliation id="dataset.author81304.inst344">
<md:name>Geological Survey of Norway/Norges Geologiske Undersokelse, Trondheim</md:name>
<md:optionalName>NGU</md:optionalName>
<md:URI>http://www.ngu.no</md:URI>
<md:ROR>https://ror.org/036dwbr90</md:ROR>
</md:affiliation>
</md:author>
<md:author id="dataset.author81126">
<md:lastName>Jensen</md:lastName>
<md:firstName>Maria A</md:firstName>
<md:orcid>0000-0003-2711-3606</md:orcid>
<md:affiliation id="dataset.author81126.inst20410">
<md:name>The University Centre in Svalbard</md:name>
</md:affiliation>
</md:author>
<md:year>2024</md:year>
<md:title>Arctic landforms and processes around the coast of Svalbard</md:title>
<md:type id="dataset.reftype10" includeInCitation="true">dataset</md:type>
<md:URI>https://doi.org/10.1594/PANGAEA.973595</md:URI>
<md:dateTime>2024-12-19T16:56:56</md:dateTime>
</md:citation>
<md:abstract>This dataset presents the thirteen coastal classes that were identified around the coast of the Svalbard archipelago, using remote sensing and field data. The map is based on aerial images, satellite images and detailed landform and geomorphological maps from various coastal areas within the Isfjorden region. Field observations have been extrapolated to the entire coastline of Svalbard. The aerial images or orthophotos were acquired between 2008 and 2012, the satellite images date from 2020 and both are available through the Web Map Service (WMS) of the Norwegian Polar Institute (NPI). The map is projected in ETRS 89 UTM 33 (EPSG:25833), which is most compatible for Svalbard. The mapping was conducted at a scale of 1:30,000 (1mm = 30m). The ongoing warming climate affects coastal regions, making them vulnerable to changes. This map provides a baseline for the active coastal processes and morphology, which can be used to predict changes and potential coastal erosion in arctic regions.</md:abstract>
<md:reference dataciteRelType="References" group="210" id="ref130377" relationType="Related to" relationTypeId="12">
<md:author id="ref130377.author108453">
<md:lastName>Blok</md:lastName>
<md:firstName>Carlette N</md:firstName>
<md:eMail>carletteblok@gmail.com</md:eMail>
<md:orcid>0000-0002-7876-994X</md:orcid>
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<md:author id="ref130377.author27272">
<md:lastName>et al.</md:lastName>
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<md:prepubStatus>in review</md:prepubStatus>
<md:title>Comprehensive classification of Arctic coastal landscapes in of Arctic Svalbard; a baseline for evaluating rapid system changes and potential climate impacts</md:title>
<md:type id="ref130377.reftype1">journal article</md:type>
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<md:southBoundLatitude>74.3357</md:southBoundLatitude>
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<md:meanLongitude>21.9874</md:meanLongitude>
<md:meanLatitude>77.58037</md:meanLatitude>
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<md:temporal>
<md:minDateTime>2008-01-01T00:00:00</md:minDateTime>
<md:maxDateTime>2020-12-31T00:00:00</md:maxDateTime>
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<md:award id="award3426">
<md:funder id="award3426.funder21807" semanticURI="doi:10.13039/501100021823">
<md:name>Svalbard Environmental Protection Fund</md:name>
<md:URI>https://www.miljovernfondet.no/</md:URI>
<md:crossrefFunderId>https://doi.org/10.13039/501100021823</md:crossrefFunderId>
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<md:number>16/105</md:number>
<md:title>DynaCoast</md:title>
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<md:funder id="award3427.funder21807" semanticURI="doi:10.13039/501100021823">
<md:name>Svalbard Environmental Protection Fund</md:name>
<md:URI>https://www.miljovernfondet.no/</md:URI>
<md:crossrefFunderId>https://doi.org/10.13039/501100021823</md:crossrefFunderId>
</md:funder>
<md:number>22/50</md:number>
<md:title>DynaRisk</md:title>
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<md:funder id="award3428.funder21808" semanticURI="doi:10.13039/501100022349">
<md:name>The FRAM Centre</md:name>
<md:crossrefFunderId>https://doi.org/10.13039/501100022349</md:crossrefFunderId>
</md:funder>
<md:number>C2C</md:number>
<md:title>Catchment to Coast (C2C)</md:title>
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<md:event displayTypeName="Event" id="event3196279" typeName="Generic Event">
<md:label>Svalbard_coastal_classes</md:label>
<md:latitude>74.3357</md:latitude>
<md:longitude>10.45956</md:longitude>
<md:dateTime>2008-01-01T00:00:00</md:dateTime>
<md:latitude2>80.82504</md:latitude2>
<md:longitude2>33.51524</md:longitude2>
<md:dateTime2>2020-12-31T00:00:00</md:dateTime2>
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<md:size unit="kBytes">420.5</md:size>
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<md:label>CC-BY-4.0</md:label>
<md:name>Creative Commons Attribution 4.0 International</md:name>
<md:URI>https://creativecommons.org/licenses/by/4.0/</md:URI>
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<md:comment>Vector format: ESRI shapefile
Projection: ETRS 89 UTM 33 (EPSG:25833)
Vector type: polyline Z
A layer file with symbology is included.

The dataset was mapped in a scale of 30.000, with the aim to map a total approx. 6800 kilometres of coastline of Svalbard. For optimal use in the 30.000 scale in ArcGIS Pro, use the following instructions:

• Set map scale to 30.000.
• Open symbology (right click on 'coastal classes' in contents tab and select 'symbology') and choose 'Vary symbology by attribute'.
• Select 'Size' and set 'minimum' AND 'maximum' size to 30 pt (enable size range can be clicked on or off).
• Set reference scale (In contents tab, right click on 'map' and select 'set reference scale').</md:comment>
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<md:keyword id="keywords.term74994" type="fromDatabase">coastal morphology</md:keyword>
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