Identification of possible ditch culvert locations using LiDAR data
2020
Melniks, R., Latvian State Forest Research Inst. Silava, Salaspils (Latvia) | Ivanovs, J., Latvian State Forest Research Inst. Silava, Salaspils (Latvia) | Lazdins, A., Latvian State Forest Research Inst. Silava, Salaspils (Latvia)
The aim of this study is to investigate and adapt existing methods for the identification of ditch connections and culverts using LiDAR (Light detection and ranging) data. The research area is located in Daugavpils region, Kalupe parish and covers area of 25 square km. Two methods are used, the first one is based on a ditch network analysis previously obtained from LiDAR data and the second is based on digital elevation model (DEM) processing. The first method correctly identified 37 % of the culverts, as well as other possible ditch connections. The second method by its working principle is difficult to apply to the specific objective in the conditions of Latvia, but it is possible to supplement the first method. A combination of both methods identified 47 % of the ditches in the pilot area. Raster histograms are used to estimate efficiency of both methods. It has been concluded that these methods can be used with some caution in Latvia conditions for DEM correction before modelling and can make significant difference in surface flow, but there are still a number of challenges to do so automatically and correctly.
Show more [+] Less [-]AGROVOC Keywords
Bibliographic information
This bibliographic record has been provided by Fundamental Library of Latvia University of Life Sciences and Technologies