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Geomorphological dating of Pleistocene conglomerates in central Slovenia based on spatial analyses of dolines using LiDAR and ground penetrating radar
ID Čeru, Teja (Author), ID Šegina, Ela (Author), ID Gosar, Andrej (Author)

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Abstract
On Kranjsko polje in central Slovenia, carbonate conglomerates have been dated to several Pleistocene glacial phases by relative dating based on the morphostratigrafic mapping and borehole data, and by paleomagnetic and $^{10}$Be analyses. To define how the age of conglomerates determines the geomorphological characteristics of karst surface features, morphometrical and distributive spatial analyses of dolines were performed on three test sites including old, middle, and young Pleistocene conglomerates. As dolines on conglomerates are covered by a thick soil cover and show a strong human influence, the ground penetrating radar (GPR) method was first applied to select dolines appropriate for further morphometrical and distributive analyses. A considerable modification of natural morphology was revealed for cultivated dolines, excluding this type of depression from spatial analyses. Input parameters for spatial analyses (doline rim and deepest point) were manually extracted from the 1 × 1 m grid digital elevation model (DEM) originating from the high-resolution LiDAR (Light Detection and Ranging) data. Basic geomorphological characteristics, namely circularity index, planar size, depth, and density index of dolines were calculated for each relative age of conglomerates, and common characteristics were determined from these data to establish a general surface typology for a particular conglomerate. The obtained surface typologies were spatially extrapolated to the wider conglomerate area in central Slovenia to test the existent geological dating. Spatial analyses generally confirmed previous dating, while in four areas the geomorphological characteristics of dolines did not correspond to the existing dating and require further revision and modification. Doline populations exhibit specific and common morphometrical and distributive characteristics on conglomerates of a particular age and can be a reliable and fast indicator for their dating.

Language:English
Keywords:doline, karst, land cultivation, morphometrical analysis, distributive analysis, conglomerate, LiDAR, digital elevation model (DEM), ground penetrating radar (GPR), Kranjsko polje
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:NTF - Faculty of Natural Sciences and Engineering
Publication status:Published
Publication version:Version of Record
Year:2017
Number of pages:23 str.
Numbering:Vol. 9, iss. 12, art. 1213
PID:20.500.12556/RUL-131000 This link opens in a new window
UDC:528
ISSN on article:2072-4292
DOI:10.3390/rs9121213 This link opens in a new window
COBISS.SI-ID:1711199 This link opens in a new window
Publication date in RUL:21.09.2021
Views:594
Downloads:151
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Record is a part of a journal

Title:Remote sensing
Shortened title:Remote sens.
Publisher:MDPI
ISSN:2072-4292
COBISS.SI-ID:32345133 This link opens in a new window

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:01.12.2017

Projects

Funder:ARRS - Slovenian Research Agency
Project number:P1-0011
Name:Regionalna geologija

Funder:ARRS - Slovenian Research Agency
Funding programme:Young researchers
Project number:1000-15-0510

Funder:Other - Other funder or multiple funders
Funding programme:COST
Project number:TU1208
Name:Civil Engineering Applications of Ground Penetrating Radar

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