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APPLYING UNMANNED AERIAL VEHICLES FOR HIGH-RESOLUTION GEOMORPHOLOGICAL MAPPING OF THE AHTOPOL COASTAL SECTOR (BULGARIAN BLACK SEA COAST)

Bogdan Prodanov

First published: 2019-06-20https://doi.org/10.5593/sgem2019/2.2/s10.057View metrics

Abstract

Low-altitude remote sensing technology applied with unmanned aerial vehicles (UAVs) has been recently adopted in Bulgaria. This study presents the optimal low-budget framework for a rapid high-resolution geomorphological mapping of a small part of the southern Bulgarian Black Sea coastal zone. A Quadcopter DJI Phantom 4 Pro was used to acquire the aerial images. These were post-processed using the structure-from-motion (SfM) approach. Ground control points (GCPs) surveyed with a GPS HiTarget V90 Plus were applied for the proper georeferencing of the SfM photogrammetry and subsequent assessment of the imagery accuracy. The resultant digital surface model (10.5 cm ground sampling distance - GSD) and orthophotomosaic (6 cm GSD) were used to map the different land- and bedforms in the Ahtopol coastal sector. A geomorphological map was compiled, while the identified land- and bedforms were classified into relevant classes in accordance with the contemporary processes in the coastal zone. This study reveals the potential of UAVs for three-dimensional (3D) mapping of the Bulgarian coast, which, at this stage, has not yet been mapped in such detail using high-resolution techniques.

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Publication details

Title
APPLYING UNMANNED AERIAL VEHICLES FOR HIGH-RESOLUTION GEOMORPHOLOGICAL MAPPING OF THE AHTOPOL COASTAL SECTOR (BULGARIAN BLACK SEA COAST)
Authors
Bogdan Prodanov
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 19th International Multidisciplinary Scientific GeoConference SGEM2019, Informatics, Geoinformatics and Remote Sensing
Publisher
STEF92 Technology
Year
2019
Pages
465-472
SWS Citekey
Prodanov201910465472
ISSN
1314-2704
ISBN
978-619-7408-80-5
Language
en
Publication type
Conference Paper
Keywords
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Number of times cited according to Crossref: 9

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