Geometry of last glacial sorted nets from high-resolution airborne data

0568218 - GFÚ 2024 RIV NL eng J - Journal Article
Uxa, Tomáš - Křížek, M. - Dlabáčková, T. - Krause, D.
Geometry of last glacial sorted nets from high-resolution airborne data.
Geomorphology. Roč. 426, April (2023), č. článku 108615. ISSN 0169-555X. E-ISSN 1872-695X
R&D Projects: GA ČR(CZ) GA21-23196S
Institutional support: RVO:67985530
Keywords : patterned ground * remote sensing * permafrost * Quaternary environments * Central Europe
OECD category: Physical geography
Impact factor: 3.9, year: 2022
Method of publishing: Limited access
https://www.sciencedirect.com/science/article/pii/S0169555X23000351

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.
Permanent Link: https://hdl.handle.net/11104/0339558