The LiDAR-based topo-hydrological modelling of the Nigula mire, SW Estonia

There was no big influence of the used cell scales and algorithms on the mean topographical properties of the Nigula mire digital elevation models (DEMs). The DEMs, generated using the Triangulated Irregular Network and Inverse Distance Weighted algorithms, revealed the closest mire surface properti...

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Main Authors: Elve Lode, Meelis Leivits
Format: Article
Language:English
Published: Estonian Academy Publishers 2011-11-01
Series:Estonian Journal of Earth Sciences
Subjects:
Online Access:http://www.kirj.ee/public/Estonian_Journal_of_Earth_Sciences/2011/issue_4/earth-2011-4-232-248.pdf
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author Elve Lode
Meelis Leivits
author_facet Elve Lode
Meelis Leivits
author_sort Elve Lode
collection DOAJ
description There was no big influence of the used cell scales and algorithms on the mean topographical properties of the Nigula mire digital elevation models (DEMs). The DEMs, generated using the Triangulated Irregular Network and Inverse Distance Weighted algorithms, revealed the closest mire surface properties from all used generation algorithms. The subtracted MAX–MIN DEMs layer revealed a well visible net of ditches and possible plant cover pattern differentiated in vertical scale. In the Nigula mire 58% of the mire surface basins have S–SW orientation, followed by the levelled and less fractionated N–NE basin region (23% coverage), and the most fractionated but with steeper sloping W-orientated basin region (8% coverage).
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spelling doaj.art-f8a2ffa81c824b34907a551409b1a73a2022-12-22T02:02:02ZengEstonian Academy PublishersEstonian Journal of Earth Sciences1736-47282011-11-0160423224810.3176/earth.2011.4.04The LiDAR-based topo-hydrological modelling of the Nigula mire, SW EstoniaElve LodeMeelis LeivitsThere was no big influence of the used cell scales and algorithms on the mean topographical properties of the Nigula mire digital elevation models (DEMs). The DEMs, generated using the Triangulated Irregular Network and Inverse Distance Weighted algorithms, revealed the closest mire surface properties from all used generation algorithms. The subtracted MAX–MIN DEMs layer revealed a well visible net of ditches and possible plant cover pattern differentiated in vertical scale. In the Nigula mire 58% of the mire surface basins have S–SW orientation, followed by the levelled and less fractionated N–NE basin region (23% coverage), and the most fractionated but with steeper sloping W-orientated basin region (8% coverage).http://www.kirj.ee/public/Estonian_Journal_of_Earth_Sciences/2011/issue_4/earth-2011-4-232-248.pdfmire landscapeLiDAR dataGISDEM analysisbasin modelling.
spellingShingle Elve Lode
Meelis Leivits
The LiDAR-based topo-hydrological modelling of the Nigula mire, SW Estonia
Estonian Journal of Earth Sciences
mire landscape
LiDAR data
GIS
DEM analysis
basin modelling.
title The LiDAR-based topo-hydrological modelling of the Nigula mire, SW Estonia
title_full The LiDAR-based topo-hydrological modelling of the Nigula mire, SW Estonia
title_fullStr The LiDAR-based topo-hydrological modelling of the Nigula mire, SW Estonia
title_full_unstemmed The LiDAR-based topo-hydrological modelling of the Nigula mire, SW Estonia
title_short The LiDAR-based topo-hydrological modelling of the Nigula mire, SW Estonia
title_sort lidar based topo hydrological modelling of the nigula mire sw estonia
topic mire landscape
LiDAR data
GIS
DEM analysis
basin modelling.
url http://www.kirj.ee/public/Estonian_Journal_of_Earth_Sciences/2011/issue_4/earth-2011-4-232-248.pdf
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