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Using lidar data to analyse sinkhole characteristics relevant for understory vegetation under forest cover-case study of a high karst area in the dinaric mountains.

Kobal M, Bertoncelj I, Pirotti F, Dakskobler I, Kutnar L - PLoS ONE (2015)

Bottom Line: Laser pulse returns from the ground provide important data for the estimation of digital elevation model (DEM), which can be used for further processing.The selected study area has very low anthropogenic influences and is particularly suitable for studying undisturbed karst sinkholes.The information extracted from this study regarding the shapes and depths of sinkholes show significant directionality for both orientation of sinkholes and their distribution over the area.

View Article: PubMed Central - PubMed

Affiliation: Biotechnical Faculty, University in Ljubljana, Department of Forestry and Renewable Forest Resources, Ljubljana, Slovenia.

ABSTRACT
In this article, we investigate the potential for detection and characterization of sinkholes under dense forest cover by using airborne laser scanning data. Laser pulse returns from the ground provide important data for the estimation of digital elevation model (DEM), which can be used for further processing. The main objectives of this study were to map and determine the geomorphometric characteristics of a large number of sinkholes and to investigate the correlations between geomorphology and vegetation in areas with such characteristics. The selected study area has very low anthropogenic influences and is particularly suitable for studying undisturbed karst sinkholes. The information extracted from this study regarding the shapes and depths of sinkholes show significant directionality for both orientation of sinkholes and their distribution over the area. Furthermore, significant differences in vegetation diversity and composition occur inside and outside the sinkholes, which indicates their presence has important ecological impacts.

No MeSH data available.


Related in: MedlinePlus

Frequency distribution of the 1st ranking sinkhole area in the Leskova dolina study area.
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pone.0122070.g006: Frequency distribution of the 1st ranking sinkhole area in the Leskova dolina study area.

Mentions: The morphometric characteristics of the 1st, 2nd, 3rd and 4th ranking sinkholes in the Leskova dolina study area are given in Table 2. The mean width, length, depth, area and volume of the sinkholes increased with their rank. The maximum sinkhole depth ranged from 39.2 (1st rank) to 48.4 m (4th rank), and only the sinkhole ranked 5th (not shown in Table 2) reached a depth of 52.8 m. The width of the 5th ranking sinkhole was 1317.9 m, the length was 2418.5 m, the total area was 131.05 ha and the total volume was approximately 22 million cubic meters. The distribution area of the 1st ranking sinkholes roughly resembled a negative exponential, with 57% of sinkholes below 600 m2. However, larger sinkholes (i.e., above 5000 m2) were relatively abundant (Fig. 6). Similar size distributions were also evident for other sinkhole ranks, except for the single sinkhole in the 5th rank and the low number of sinkholes in the 4th rank, which did not allow us to determine the shapes of their distributions.


Using lidar data to analyse sinkhole characteristics relevant for understory vegetation under forest cover-case study of a high karst area in the dinaric mountains.

Kobal M, Bertoncelj I, Pirotti F, Dakskobler I, Kutnar L - PLoS ONE (2015)

Frequency distribution of the 1st ranking sinkhole area in the Leskova dolina study area.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4368576&req=5

pone.0122070.g006: Frequency distribution of the 1st ranking sinkhole area in the Leskova dolina study area.
Mentions: The morphometric characteristics of the 1st, 2nd, 3rd and 4th ranking sinkholes in the Leskova dolina study area are given in Table 2. The mean width, length, depth, area and volume of the sinkholes increased with their rank. The maximum sinkhole depth ranged from 39.2 (1st rank) to 48.4 m (4th rank), and only the sinkhole ranked 5th (not shown in Table 2) reached a depth of 52.8 m. The width of the 5th ranking sinkhole was 1317.9 m, the length was 2418.5 m, the total area was 131.05 ha and the total volume was approximately 22 million cubic meters. The distribution area of the 1st ranking sinkholes roughly resembled a negative exponential, with 57% of sinkholes below 600 m2. However, larger sinkholes (i.e., above 5000 m2) were relatively abundant (Fig. 6). Similar size distributions were also evident for other sinkhole ranks, except for the single sinkhole in the 5th rank and the low number of sinkholes in the 4th rank, which did not allow us to determine the shapes of their distributions.

Bottom Line: Laser pulse returns from the ground provide important data for the estimation of digital elevation model (DEM), which can be used for further processing.The selected study area has very low anthropogenic influences and is particularly suitable for studying undisturbed karst sinkholes.The information extracted from this study regarding the shapes and depths of sinkholes show significant directionality for both orientation of sinkholes and their distribution over the area.

View Article: PubMed Central - PubMed

Affiliation: Biotechnical Faculty, University in Ljubljana, Department of Forestry and Renewable Forest Resources, Ljubljana, Slovenia.

ABSTRACT
In this article, we investigate the potential for detection and characterization of sinkholes under dense forest cover by using airborne laser scanning data. Laser pulse returns from the ground provide important data for the estimation of digital elevation model (DEM), which can be used for further processing. The main objectives of this study were to map and determine the geomorphometric characteristics of a large number of sinkholes and to investigate the correlations between geomorphology and vegetation in areas with such characteristics. The selected study area has very low anthropogenic influences and is particularly suitable for studying undisturbed karst sinkholes. The information extracted from this study regarding the shapes and depths of sinkholes show significant directionality for both orientation of sinkholes and their distribution over the area. Furthermore, significant differences in vegetation diversity and composition occur inside and outside the sinkholes, which indicates their presence has important ecological impacts.

No MeSH data available.


Related in: MedlinePlus