Mapped polygon pattern geomorphometry from HRSC-AX, 2009, Adventdalen, Svalbard
Polygonal systems formed by thermal contraction cracking are complex landscape features widespread in terrestrial periglacial regions. The manner in which cracking occurs is controlled by various environmental factors and determines dimension, shape, and orientation of polygons. We studied the geomo...
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ftdatacite:10.1594/pangaea.921087 2023-05-15T13:02:46+02:00 Mapped polygon pattern geomorphometry from HRSC-AX, 2009, Adventdalen, Svalbard Ulrich, Mathias Härtel, Stefanie Hauber, Ernst 2020 text/tab-separated-values https://dx.doi.org/10.1594/pangaea.921087 https://doi.pangaea.de/10.1594/PANGAEA.921087 en eng PANGAEA - Data Publisher for Earth & Environmental Science https://dx.doi.org/10.1016/j.geomorph.2011.07.002 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 CC-BY Ice-wedge Polygons Multivariate Statistic Patterned Ground permafrost Permafrost Characteristic Polygonal Networks Quantitative Terrain Analysis Event label Latitude of event Longitude of event File content Binary Object Binary Object File Size High Resolution Stereo Camera HRSC-AX NO_Land_2009_Advendalen AWI Arctic Land Expedition Dataset dataset 2020 ftdatacite https://doi.org/10.1594/pangaea.921087 https://doi.org/10.1016/j.geomorph.2011.07.002 2022-02-09T13:17:17Z Polygonal systems formed by thermal contraction cracking are complex landscape features widespread in terrestrial periglacial regions. The manner in which cracking occurs is controlled by various environmental factors and determines dimension, shape, and orientation of polygons. We studied the geomorphometry of polygonally-patterned ground on Svalbard to draw a terrestrial analogy to small-scale polygonal structures on Mars. We performed a comparative quantitative terrain analysis based on high-resolution stereo remote-sensing data (i.e., HRSC-AX, HiRISE) in combination with terrestrial field data and multivariate statistics to determine the relationship of polygon geomorphometry to local environmental conditions. Results show that polygonal structures on Svalbard and in Utopia Planitia, Mars, are similar with respect to their size and shape. A comparable thermal contraction cracking genesis is likely. Polygon evolution, however, is strongly related to regional and local landscape dynamics. Individual polygon dimensions and orthogonality vary according to age, thermal contraction cracking activity, and local subsurface conditions.This dataset contains polygonal network data from 8 sites on Svalbard in shapefile format:Act-IWS = Active Ice-Wedge site Adventdalen (AD1)AD2 to AD4 = Adventdalen sites 2 to 4IWS = Ice-wedge site AdventdalenCALM = Circumarctic Active-Layer Monitoring polygon site AdventdalenHCP = High Center Polygons site AdventdalenIsdammen = location Isdammen site AdventdalenDetailed information about methods and results can be found in the publication to which this dataset is a supplement (https://doi.org/10.1016/j.geomorph.2011.07.002). : Parameters included:area: area (A) [m²]perimeter: perimeter (P) [m]length: Length (L) largest diameter [m]width: Width (W) smallest diameter [m]thick_ra: Thickness ratio (Th) (The polygon area versus the area of its minimum bounding rectangle) [0 to 1]circular: Circularity (FF) = 4πA/P² [0 to 1] Dataset Active layer monitoring Adventdalen Arctic Ice permafrost Svalbard wedge* DataCite Metadata Store (German National Library of Science and Technology) Adventdalen ENVELOPE(16.264,16.264,78.181,78.181) Arctic Svalbard |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
Ice-wedge Polygons Multivariate Statistic Patterned Ground permafrost Permafrost Characteristic Polygonal Networks Quantitative Terrain Analysis Event label Latitude of event Longitude of event File content Binary Object Binary Object File Size High Resolution Stereo Camera HRSC-AX NO_Land_2009_Advendalen AWI Arctic Land Expedition |
spellingShingle |
Ice-wedge Polygons Multivariate Statistic Patterned Ground permafrost Permafrost Characteristic Polygonal Networks Quantitative Terrain Analysis Event label Latitude of event Longitude of event File content Binary Object Binary Object File Size High Resolution Stereo Camera HRSC-AX NO_Land_2009_Advendalen AWI Arctic Land Expedition Ulrich, Mathias Härtel, Stefanie Hauber, Ernst Mapped polygon pattern geomorphometry from HRSC-AX, 2009, Adventdalen, Svalbard |
topic_facet |
Ice-wedge Polygons Multivariate Statistic Patterned Ground permafrost Permafrost Characteristic Polygonal Networks Quantitative Terrain Analysis Event label Latitude of event Longitude of event File content Binary Object Binary Object File Size High Resolution Stereo Camera HRSC-AX NO_Land_2009_Advendalen AWI Arctic Land Expedition |
description |
Polygonal systems formed by thermal contraction cracking are complex landscape features widespread in terrestrial periglacial regions. The manner in which cracking occurs is controlled by various environmental factors and determines dimension, shape, and orientation of polygons. We studied the geomorphometry of polygonally-patterned ground on Svalbard to draw a terrestrial analogy to small-scale polygonal structures on Mars. We performed a comparative quantitative terrain analysis based on high-resolution stereo remote-sensing data (i.e., HRSC-AX, HiRISE) in combination with terrestrial field data and multivariate statistics to determine the relationship of polygon geomorphometry to local environmental conditions. Results show that polygonal structures on Svalbard and in Utopia Planitia, Mars, are similar with respect to their size and shape. A comparable thermal contraction cracking genesis is likely. Polygon evolution, however, is strongly related to regional and local landscape dynamics. Individual polygon dimensions and orthogonality vary according to age, thermal contraction cracking activity, and local subsurface conditions.This dataset contains polygonal network data from 8 sites on Svalbard in shapefile format:Act-IWS = Active Ice-Wedge site Adventdalen (AD1)AD2 to AD4 = Adventdalen sites 2 to 4IWS = Ice-wedge site AdventdalenCALM = Circumarctic Active-Layer Monitoring polygon site AdventdalenHCP = High Center Polygons site AdventdalenIsdammen = location Isdammen site AdventdalenDetailed information about methods and results can be found in the publication to which this dataset is a supplement (https://doi.org/10.1016/j.geomorph.2011.07.002). : Parameters included:area: area (A) [m²]perimeter: perimeter (P) [m]length: Length (L) largest diameter [m]width: Width (W) smallest diameter [m]thick_ra: Thickness ratio (Th) (The polygon area versus the area of its minimum bounding rectangle) [0 to 1]circular: Circularity (FF) = 4πA/P² [0 to 1] |
format |
Dataset |
author |
Ulrich, Mathias Härtel, Stefanie Hauber, Ernst |
author_facet |
Ulrich, Mathias Härtel, Stefanie Hauber, Ernst |
author_sort |
Ulrich, Mathias |
title |
Mapped polygon pattern geomorphometry from HRSC-AX, 2009, Adventdalen, Svalbard |
title_short |
Mapped polygon pattern geomorphometry from HRSC-AX, 2009, Adventdalen, Svalbard |
title_full |
Mapped polygon pattern geomorphometry from HRSC-AX, 2009, Adventdalen, Svalbard |
title_fullStr |
Mapped polygon pattern geomorphometry from HRSC-AX, 2009, Adventdalen, Svalbard |
title_full_unstemmed |
Mapped polygon pattern geomorphometry from HRSC-AX, 2009, Adventdalen, Svalbard |
title_sort |
mapped polygon pattern geomorphometry from hrsc-ax, 2009, adventdalen, svalbard |
publisher |
PANGAEA - Data Publisher for Earth & Environmental Science |
publishDate |
2020 |
url |
https://dx.doi.org/10.1594/pangaea.921087 https://doi.pangaea.de/10.1594/PANGAEA.921087 |
long_lat |
ENVELOPE(16.264,16.264,78.181,78.181) |
geographic |
Adventdalen Arctic Svalbard |
geographic_facet |
Adventdalen Arctic Svalbard |
genre |
Active layer monitoring Adventdalen Arctic Ice permafrost Svalbard wedge* |
genre_facet |
Active layer monitoring Adventdalen Arctic Ice permafrost Svalbard wedge* |
op_relation |
https://dx.doi.org/10.1016/j.geomorph.2011.07.002 |
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/10.1594/pangaea.921087 https://doi.org/10.1016/j.geomorph.2011.07.002 |
_version_ |
1766321153760034816 |