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UAS PHOTOGRAMMETRY AS AN EFFECTIVE TOOL FOR HIGH-RESOLUTION MAPPING OF DEPOSITIONAL LANDFORMS AND MONITORING GEOMORPHIC CHANGE. CASE STUDY: KAMCHIA SHKORPILOVTSI BEACH, BULGARIAN BLACK SEA COAST

Bogdan Prodanov, Iliyan Kotsev, Radoslava Bekova, Lyubomir Dimitrov, Todor Lambev

First published: 2021-12-20https://doi.org/10.5593/sgem2021/2.1/s10.75View metrics

Abstract

Over 30% of the Bulgarian Black Sea shoreline is characterized as a depositional type of coast. A significant portion of it represents well-formed sandy beaches and dune fields, falling under the protection of the European ecological network NATURA 2000. The coastal sector of the Lower Kamchia Depression hosts the longest beach-dune system on the Bulgarian Black Sea coast called Kamchia-Shkorpilovtsi beach. The main task of the project "Mapping and monitoring of depositional areas along the Northern Bulgarian Black Sea coast using Unmanned Aerial Vehicles" is to compile an integrated geodatabase by geodetic measurements, seasonal monitoring remote sensing, and field reconnaissance surveys. The lack of shore protection facilities and the weak anthropogenic pressure on the beach is an excellent opportunity for high-resolution mapping of the natural beach and dune landforms. For the first time, based on high-resolution data from UAV, an analysis of the erosion-accumulative processes and the change of the shoreline between Cape Paletsa and Cape Karaburun was made. Digital Shoreline Analysis System (DSAS) was used for estimating short-term and long-term rates of shoreline changes (erosion or accretion). For the time period of 1983-2021, using the Linear Regression Rate (LRR) indicator, an average accretion rate of +0.05 m/y was reported for Kamchia-Shkorpilovtsi beach. From a geological and biological scientific point of view, the morphological changes around the mouths of the Kamchia and Fandakliyska rivers and their influence on the brackish ichthyofauna are of interest. By a combination of data from a drone and a single-beam echo sounder, an integrated surface model of the Fandakliyska River estuary was generated, which allowed a quantitative assessment of the morphological changes after the winter hydrological phenomena in the period November 2020 - May 2021. The main goal of the paper is to present a multidisciplinary approach to the study of highly dynamic coastal landforms, the results of which would benefit local authorities in drawing up management plans for the Bulgarian Black Sea coast.

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Publication details

Title
UAS PHOTOGRAMMETRY AS AN EFFECTIVE TOOL FOR HIGH-RESOLUTION MAPPING OF DEPOSITIONAL LANDFORMS AND MONITORING GEOMORPHIC CHANGE. CASE STUDY: KAMCHIA SHKORPILOVTSI BEACH, BULGARIAN BLACK SEA COAST
Authors
Bogdan Prodanov, Iliyan Kotsev, Radoslava Bekova, Lyubomir Dimitrov, Todor Lambev
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
361-372
SWS Citekey
Prodanov202110623634
ISSN
1314-2704
ISBN
978-619-7603-22-4
Language
en
Publication type
Conference Paper
Keywords
References31
  1. Biodiversity Act of the Republic of Bulgaria, available at https://lex.bg/laws/ldoc/2135456926, 2002.

  2. Council Directive 92/43/EEC of 21 May 1992 on the conservation of natural habitats and of wild fauna and flora (Habitats Directive), аvailable at http://eur-lex.europa.eu (1992).

  3. Red Data Book of the Republic of Bulgaria, Vol. III Natural Habitats], BAS & MoEW, Sofia, 2015.

  4. Green, D., (ed). Unmanned Aerial Remote sensing: UAS for environmental applications. CRC Press, 345, 2020.

  5. Pajares, G. Overview and current status of remote sensing applications based on unmanned aerial vehicles (UAVs). Photogrammetric Engineering & Remote Sensing, 81(4), 281-330, 2015.

  6. Casagrabde, G., Sik, A., Szhabo, G. (ed.). Small Flying Drones. Springer., 161, 2018.

  7. Manfreda, S. et al. On the use of unmanned aerial systems for environmental monitoring. Remote sensing, 2018, 10(4), 641. Remote Sens. 2018.

  8. Manfreda, S., Dvorak, P., Mullerova, J., Herban, S., Vuono, P., Arranz Justel, J. J., Perks, M., Assessing the accuracy of digital surface models derived from optical imagery acquired with unmanned aerial systems. Drones, 3(1), 15, 2019.

  9. Tmušić, Goran, et al., Current practices in UAS-based environmental monitoring, Remote Sensing, 12, 6, 1011, 2020, DOI: 10.3390/rs12061001.

  10. Manfreda, S., Dal Sasso, S. F., Pizarro, A., Tauro, F. New Insights Offered by UAS for River Monitoring. Applications of Small Unmanned Aircraft Systems: Best Practices and Case Studies, 211, 2019.

  11. Hilgendorf, Z., Marvin, M. C., Turner, C. M., & Walker, I. J. Assessing Geomorphic Change in Restored Coastal Dune Ecosystems Using a Multi-Platform Aerial Approach. Remote Sensing, 13(3), 354, 2021, DOI: 10.3390/rs13030354

  12. Rotnicka, J., Dłużewski, M., Dąbski, M., Rodzewicz, M., Włodarski, W., Zmarz, A., Accuracy of the UAV-Based DEM of Beach–Foredune Topography in Relation to Selected Morphometric Variables, Land Cover, and Multitemporal Sediment Budget. Estuaries and Coasts, 43(8), 1939-1955, 2020

  13. Papakonstantinou, A., Topouzelis, K., Pavlogeorgatos, G., Coastline zones identification and 3D coastal mapping using UAV spatial data. ISPRS International Journal of Geo-Information, 5(6), 75. 2016.

  14. Yoo, C. I., Oh, T. S., Beach volume change using UAV photogrammetry Songjung beach, Korea. The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 41, 1201, 2016.

  15. Topouzelis, K., Papakonstantinou, A., Doukari, M. Coastline change detection using Unmanned Aerial Vehicles and image processing technique. Fresen. Environ. Bull, 26, 5564-5571, 2017.

  16. Uysal, Murat, et al., 3D Shoreline mapping using an unmanned aerial vehicle. In FIG Congress 2018 Conference.

  17. Zanutta, A., Lambertini, A., Vittuari, L., UAV photogrammetry and ground surveys as a mapping tool for quickly monitoring shoreline and beach changes. Journal of Marine Science and Engineering, 8(1), 52, 2020.

  18. Taddia, Y., F. Stecchi, and A. Pellegrinelli. Using DJI Phantom 4 RTK Drone for topographic mapping of coastal areas. International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, 2019.

  19. Laporte-Fauret, Q., Marieu, V., Castelle, B., Michalet, R., Bujan, S., Rosebery, D., Low-cost UAV for high-resolution and large-scale coastal dune change monitoring using photogrammetry. Journal of Marine Science and Engineering, 7(3), 63, 2019.

  20. Fabbri, S., Grottoli, E., Armaroli, C., Ciavola, P., Using High-Spatial Resolution UAV-Derived Data to Evaluate Vegetation and Geomorphological Changes on a Dune Field Involved in a Restoration Endeavour. Remote Sensing. 2021; 13(10):1987. DOI: 10.3390/rs13101987

  21. Sturdivant, E. J., Lentz, E. E., Thieler, E. R., Farris, A. S., Weber, K. M., Remsen, D. P., Miner, S. and Henderson, R. E., UAS-SfM for coastal research: geomorphic feature extraction and land cover classification from high-resolution elevation and optical imagery, Remote Sensing 9(10), 1020, 2017.

  22. Kordić, B., Lužar-Oberiter, B., Pikelj, K., Matoš, B., Vlastelica, G., Integration of terrestrial laser scanning and UAS photogrammetry in geological studies: examples from Croatia, Periodica Polytechnica Civil Engineering, 63(4), 989-1003, 2019.

  23. Seymour, C., Ridge, T., Rodriguez, B., Newton, E., Dale, J. Johnston, D. W., Deploying fixed wing Unoccupied Aerial Systems (UAS) for coastal morphology assessment and management, Journal of Coastal Research 34(3), 704-717, 2018.

  24. Klemas, V.V., Coastal and environmental remote sensing from unmanned aerial vehicles: an overview, Journal of Coastal Research 31(5), 1260-1267, 2015.

  25. García-López, S., Ruiz-Ortiz, V., Barbero, L. and Sánchez-Bellón, Á., Contribution of the UAS to the determination of the water budget in a coastal wetland: a case study in the natural park of the Bay of Cádiz (SW Spain), European Journal of Remote Sensing 51(1), 965-977, 2018.

  26. Popov, Vl., Mishev, K., Geomorphology of the Bulgarian Black Sea coast and shelf, Academic Press of the Bulgarian Academy of Sciences, Sofia, pp.268, 1974.

  27. https://kais.cadastre.bg/bg/Map

  28. Keremedchiev, S., Stancheva, M., Assessment of geomorphodynamical coastal activity of the Bulgarian Black Sea part. Comptes rendus de l’Acad´emie bulgare des Sciences, 59(2), 181, 2006.

  29. Dachev, V., Nikolov, H., Oceanology, Sofia, 2, 57–64, 1977 (in Bulgarian).

  30. Thieler, E. R., Himmelstoss, E. A., Zichichi, J. L., Ergul, A., The Digital Shoreline Analysis System (DSAS) version 4.0-an ArcGIS extension for calculating shoreline change. US Geological Survey. 2009.

  31. Himmelstoss, E.A., Henderson, R.E., Kratzmann, M.G., and Farris, A.S., Digital Shoreline Analysis System (DSAS) version 5.0 user guide: U.S. Geological Survey Open-File Report 2018–1179, 110, 2018

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