Greenland Surface Classification (derived from GIMP data)

This dataset contains a simple Greenland surface classification and shape files with various boundaries. These data are derivative products from the Greenland Ice Mapping Projects (GIMP) 90 meter resolution digital elevation model dataset and land surface classification: Howat, I.M., A. Negrete, B.E...

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Main Author: Rennermalm, Asa
Format: Text
Language:unknown
Published: figshare 2017
Subjects:
Online Access:https://dx.doi.org/10.6084/m9.figshare.1613519.v1
https://figshare.com/articles/journal_contribution/Greenland_Surface_Classification_derived_from_GIMP_data_/1613519/1
id ftdatacite:10.6084/m9.figshare.1613519.v1
record_format openpolar
spelling ftdatacite:10.6084/m9.figshare.1613519.v1 2023-05-15T16:23:25+02:00 Greenland Surface Classification (derived from GIMP data) Rennermalm, Asa 2017 https://dx.doi.org/10.6084/m9.figshare.1613519.v1 https://figshare.com/articles/journal_contribution/Greenland_Surface_Classification_derived_from_GIMP_data_/1613519/1 unknown figshare https://dx.doi.org/10.6084/m9.figshare.1613519 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 CC-BY 40602 Glaciology FOS Earth and related environmental sciences Physical Geography Text article-journal Journal contribution ScholarlyArticle 2017 ftdatacite https://doi.org/10.6084/m9.figshare.1613519.v1 https://doi.org/10.6084/m9.figshare.1613519 2021-11-05T12:55:41Z This dataset contains a simple Greenland surface classification and shape files with various boundaries. These data are derivative products from the Greenland Ice Mapping Projects (GIMP) 90 meter resolution digital elevation model dataset and land surface classification: Howat, I.M., A. Negrete, B.E. Smith, 2014, The Greenland Ice Mapping Project (GIMP) land classification and surface elevation datasets, The Cryosphere, 8, 1509-1518, doi:10.5194/tc-8-1509-2014 see README file for more info Text Greenland DataCite Metadata Store (German National Library of Science and Technology) Greenland
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
topic 40602 Glaciology
FOS Earth and related environmental sciences
Physical Geography
spellingShingle 40602 Glaciology
FOS Earth and related environmental sciences
Physical Geography
Rennermalm, Asa
Greenland Surface Classification (derived from GIMP data)
topic_facet 40602 Glaciology
FOS Earth and related environmental sciences
Physical Geography
description This dataset contains a simple Greenland surface classification and shape files with various boundaries. These data are derivative products from the Greenland Ice Mapping Projects (GIMP) 90 meter resolution digital elevation model dataset and land surface classification: Howat, I.M., A. Negrete, B.E. Smith, 2014, The Greenland Ice Mapping Project (GIMP) land classification and surface elevation datasets, The Cryosphere, 8, 1509-1518, doi:10.5194/tc-8-1509-2014 see README file for more info
format Text
author Rennermalm, Asa
author_facet Rennermalm, Asa
author_sort Rennermalm, Asa
title Greenland Surface Classification (derived from GIMP data)
title_short Greenland Surface Classification (derived from GIMP data)
title_full Greenland Surface Classification (derived from GIMP data)
title_fullStr Greenland Surface Classification (derived from GIMP data)
title_full_unstemmed Greenland Surface Classification (derived from GIMP data)
title_sort greenland surface classification (derived from gimp data)
publisher figshare
publishDate 2017
url https://dx.doi.org/10.6084/m9.figshare.1613519.v1
https://figshare.com/articles/journal_contribution/Greenland_Surface_Classification_derived_from_GIMP_data_/1613519/1
geographic Greenland
geographic_facet Greenland
genre Greenland
genre_facet Greenland
op_relation https://dx.doi.org/10.6084/m9.figshare.1613519
op_rights Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
op_rightsnorm CC-BY
op_doi https://doi.org/10.6084/m9.figshare.1613519.v1
https://doi.org/10.6084/m9.figshare.1613519
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