Geometry of last glacial sorted nets from high-resolution airborne data
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985530%3A_____%2F23%3A00568218" target="_blank" >RIV/67985530:_____/23:00568218 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11310/23:10465013 RIV/00025798:_____/23:10168646
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S0169555X23000351" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0169555X23000351</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.geomorph.2023.108615" target="_blank" >10.1016/j.geomorph.2023.108615</a>
Alternative languages
Result language
angličtina
Original language name
Geometry of last glacial sorted nets from high-resolution airborne data
Original language description
Relict periglacial sorted nets are valuable indicators of past permafrost and climate states, but their field studies are usually challenging due to high time requirements and poor visibility. This study therefore tests the suit-ability of high-resolution digital elevation model and aerial photographs with a horizontal resolution of 0.5 m and 0.2 m, respectively, to map and analyse the geometry of 2000 sorted nets from the Last Glacial Period at one site in the Krkonose Mts., Czech Republic. Since the sorted nets occupy an area of similar to 1.79 ha, the density of their network accounts for similar to 1117 cells per hectare. The sorted nets have a mean diameter of 3.46 +/- 0.83 m, a mean height of 0.28 +/- 0.10 m, and a mean estimated sorting depth of 0.94 +/- 0.22 m. The number of sides ranges between three and ten, but averages 5.99 +/- 1.13, and 83.4 % of the sorted nets are pentagonal to heptagonal, and their sides mostly meet at three-way junctions at a mean angle of 119.9 +/- 25.6 degrees. However, isometric sorted nets are rather rare as a length-to-width ratio attains 1.47 +/- 0.28. The estimated sorting depth indicates that permafrost superimposed by similar to 1 m thick active layer occurred at the study site at the end of the Last Glacial Period. Generally, the remotely sensed parameters of the sorted nets are consistent with field data previously collected at the same study site and literature reports including those on past regional environmental conditions. This proves the utility of the high-resolution airborne data to map and analyse the geometry of large sets of sorted patterns, which would be difficult in conventional field surveys. Consequently, remote sensing could bring a wealth of new information on sorted patterned ground and its characteristics from past and present periglacial landscapes, and aid in past permafrost and climate modelling. The collected dataset of the parameters of the sorted nets could also have many other applications such as for choosing an effective sample size or the minimum network size to be included in statistical comparisons in future patterned-ground surveys, and for validating automated mapping and/or delineation tools and models of patterned-ground growth.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10508 - Physical geography
Result continuities
Project
<a href="/en/project/GA21-23196S" target="_blank" >GA21-23196S: Distribution, Thickness and Evolution of Permafrost in Central Europe in Late Quaternary</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Geomorphology
ISSN
0169-555X
e-ISSN
1872-695X
Volume of the periodical
426
Issue of the periodical within the volume
April
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
14
Pages from-to
108615
UT code for WoS article
000936689200001
EID of the result in the Scopus database
2-s2.0-85147651443