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USING TLS AND UAV DATA FOR GEOMORPHIC CHANGE DETECTION: CASE STUDY OF EASTERN RHODOPES, BULGARIA

Veselina Gospodinova, Valentina Nikolova, Asparuh Kamburov

First published: 2021-12-20https://doi.org/10.5593/sgem2021/2.1/s10.77View metrics

Abstract

Soil erosion is one of the most widely dispersed adverse geomorphological processes in a global scale. If it is not limited, it can change the topographic surface, reduce the slope stability and water retention capability, and thus increase the disposition for geomorphological hazards. Heavy rainfalls or intensive snowmelt are the main triggering factors for erosion, but the processes strongly depend on the topography, slope gradient, soil properties, vegetation cover and land use. The aim of the current research is to detect the geomorphic change due to erosion processes in a low mountain area, covered by grass vegetation and some rare bushes and trees, using geospatial technology. The research methodology includes simultaneous application of aerial photogrammetry and terrestrial laser scanning. Two terrain surveys were carried out – in October 2019 and at the beginning of April 2021. The resulting point clouds were georeferenced with RTK GNSS measurements of ground control points, with resulting accuracy of less than 2 cm. After processing of point clouds high resolution digital terrain models (DTM) are created. The analyses of the models are performed in environment of geographic information system (GIS). The spatial extent of erosion processes is determined by comparing and analysing the terrain and derivative models build using the data of terrestrial laser scanning and uncrewed aerial vehicles, acquired in the two consecutive field campaigns,. The results show that erosion is active despite the retaining effect of vegetation.

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Publication details

Title
USING TLS AND UAV DATA FOR GEOMORPHIC CHANGE DETECTION: CASE STUDY OF EASTERN RHODOPES, BULGARIA
Authors
Veselina Gospodinova, Valentina Nikolova, Asparuh Kamburov
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 21st SGEM International Multidisciplinary Scientific GeoConference Proceedings 2021, Informatics, Geoinformatics and Remote Sensing
Publisher
STEF92 Technology
Year
2021
Pages
381-388
SWS Citekey
Gospodinova202110643650
ISSN
1314-2704
ISBN
978-619-7603-22-4
Language
en
Publication type
Conference Paper
Keywords
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