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Glacial and periglacial geomorphological map of central Troms and Finnmark county, Arctic Norway

Leigh, J.R. and Evans, D.J.A. and Stokes, C.R. and Andreassen, L.M. and Carr, R.J. (2021) 'Glacial and periglacial geomorphological map of central Troms and Finnmark county, Arctic Norway.', Journal of Maps, 17 (2). pp. 348-366.


Here we present a glacial and periglacial geomorphological map of a ∼6800 km2 region of central Troms and Finnmark county, Arctic Norway. The map is presented at a 1:115,000 scale with the aim of characterising the spatial distribution of glacial and periglacial landforms and facilitating the reconstruction of the glacial history of the region during the latter stages of deglaciation from the Last Glacial Maximum and into the Holocene. Mapping was conducted predominantly by manual digitisation of landforms using a combination of Sentinel-2A/2B satellite imagery (10 m pixel resolution), vertical aerial photographs (<1 m pixel resolution), and Digital Elevation Models (10 and 2 m pixel resolution). Over 20,000 individual features have been mapped and include moraines (subdivided into major and minor moraines), ridges within areas of discrete debris accumulations (DDAs), flutings, eskers, irregular mounded terrain, lineations, glacially streamlined bedrock, possible glacially streamlined terrain, pronival ramparts, rock glaciers (subdivided into valley wall and valley floor, and rock glacierised moraines), lithalsas, contemporary glaciers and lakes. The map records several noteworthy large moraine assemblages within individual valleys, forming inset sequences from pre-Younger Dryas limits up to the 2018/19 ice margins and represents a valuable dataset for reconstructing Holocene glacial and periglacial activity.

Item Type:Article
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Available under License - Creative Commons Attribution 4.0.
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Publisher statement:© 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group on behalf of Journal of Maps This is an Open Access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Date accepted:21 June 2021
Date deposited:18 August 2021
Date of first online publication:12 July 2021
Date first made open access:18 August 2021

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