20.500.12556/RUL-164538 Sky-view factor enhanced doline delineation: A comparative methodological review based on case studies in Slovenia This study presents a novel method for the accurate delineation of dolines in karst areas. The method is based on the use of hydrological tools and sky-view Factor in ArcGIS Pro and was implemented using a digital elevation model with a resolution of 1 m in four study areas in Slovenia. We manually delineated dolines at four test areas and compared them with the results of the new method, as well as the results of the most commonly used method of hydrological filling and the results of U-Net segmentation. We calculated the average deviation of the perimeter and the differences in the basic morphometric properties. The hydrological filling method cannot be accepted as a suitable method for doline delineation and should only be used for doline identification. The method based on the U-Net segmentation performed better, but the results contain landforms that are not enclosed depressions and therefore cannot be considered as dolines. The new method utilizes the advantages of hydrological filling and at the same time improves the doline delineation. We conclude that the presented method is the most suitable for automatic doline identification and delineation among the automatic methods discussed in this paper. This study further quantifies the enhancements achieved with the new method, highlighting the specific improvements in perimeter accuracy and the reliability of morphometric measurements. karstology karst forms dolines digital elevation model ALS Slovenia krasoslovje kraške oblike vrtače digitalni model višin lidar Slovenija true false true Angleški jezik Slovenski jezik Neznano 2024-10-30 10:22:21 2024-10-30 10:22:25 2026-01-23 04:38:02 0000-00-00 00:00:00 2024 0 0 16 str. article no. ǂ109389 Vol. 465 August 2024 0000-00-00 PostprintKoncna NiDoloceno NiDoloceno 0000-00-00 0000-00-00 2024-08-01 551.435.82(497.4) 1872-695X doi.org/10.1016/j.geomorph.2024.109389 208330755 RAZ_Stefanovski_Saso_2024.pdf RAZ_Stefanovski_Saso_2024.pdf 1 65D8BE8209D98F0A7C32399DC1C68D00 a32daff19930f9887e92557a3a4f4c0f144fe2ee27e4cae2ba25ee1da55ecb79 e5d064e5-f7a5-11f0-a1ba-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=226030 https://www.sciencedirect.com/science/article/pii/S0169555X24003398?via%3Dihub 1 28cb729d-96a0-11ef-b232-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=195034 Filozofska fakulteta 0 0 0