Analysis of the accuracy of shoreline mapping in inland navigational charts (Inland ENC) using photogrammetric and sonar images

• Autorzy: Łubczonek Jacek , Łącka Małgorzata , Zaniewicz Grzegorz

Identyfikatory

DOI

10.17402/335

• Języki publikacji: EN

Abstrakty

EN

Shoreline mapping is one of the key stages in navigational charting. In terms of navigation, the shoreline marks the boundary of a river, which is often equivalent to the navigable water area. In cartographic terms, it is an important topological element between different objects that are adjacent to it. Currently, topographic objects are often mapped using photogrammetric materials obtained from various altitudes – satellite, airborne or low, which is associated with the use of an airborne UAV. Depending on the type of materials, the shoreline can be obtained in vector form with differing situational accuracy and differing degree of detail. In addition to the standard methods of processing vector data, the research in this paper also included the use of sonar images, enabling the detection of the shoreline with the use of a surveying hydrographic unit. On the basis of the collected photogrammetric and sonar images of different spatial resolution, an analysis of the accuracy of shoreline mapping was performed in terms of the situational accuracy and the level of detail in its representation. The results of the research provided the basis for the determination of dedicated remote sensing materials enabling the development of maps for inland navigation.

Słowa kluczowe

EN

photogrammetry; navigation chart; hydrography; side scan sonar; accuracy assessment; mapping

• Wydawca: Wydawnictwo Naukowe Akademii Morskiej w Szczecinie
• Czasopismo: Zeszyty Naukowe Akademii Morskiej w Szczecinie
• Rocznik: 2019
• Tom: nr 58 (130)
• Strony: 45--54
• Opis fizyczny: Bibliogr. 20 poz., rys., tab.

Twórcy

autor

Łubczonek Jacek

• Maritime University of Szczecin, Faculty of Navigation, Institute of Geoinformatics 146 Żołnierska St., 71-250 Szczecin, Poland

autor

Łącka Małgorzata

• Maritime University of Szczecin, Faculty of Navigation, Institute of Geoinformatics 146 Żołnierska St., 71-250 Szczecin, Poland

autor

Zaniewicz Grzegorz

• Maritime University of Szczecin, Faculty of Navigation, Institute of Geoinformatics 146 Żołnierska St., 71-250 Szczecin, Poland

Bibliografia

• 1. Blondel, P. & Murton, B.J. (1997) Handbook of seafloor sonar imagery. Chichester – New York – Weinheim – Brisbane – Singapore – Toronto: John Wiley & Sons.
• 2. Burdziakowski, P. (2016) Review of construction and functionality of photogrammetric unmanned aerial vehicles. Biuletyn WAT LXV, 4 (in Polish).
• 3. Čermáková, I., Komárková, J. & Sedlak, P. (2016). Using UAV to detect shoreline changes: case study – Pohranov Pond, Czech Republic. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLI-B1, XXIII ISPRS Congres, 12–19 July 2016, Prague, Czech Republic, pp. 803–808. 10.5194/ isprsarchives-XLI-B1-803-2016.
• 4. Colomina, I. & Molina, P. (2014) Unmanned aerial systems for photogrammetry and remote sensing: A review. ISPRS Journal of Photogrammetry and Remote Sensing 92, pp. 79–97.
• 5. Dominici, D., Zollini, S., Alicandro, M., Della Torre, F., Buscema, P. & Baiocchi, V. (2019) High Resolution Satellite Images for Instantaneous Shoreline Extraction Using New Enhancement Algorithms. Geosciences 9 (3), 123, doi: 10.3390/geosciences9030123.
• 6. Karwel, K. (2012) Influence initial data for quality of aerial photogrammetry products, Archives of Photogrammetry. Cartography and Remote Sensing 24, pp. 123–132 (in Polish)
• 7. Kędzierski, M., Fryśkowska, A. & Wierzbicki, D. (2014) Photogrammetric elaboration from a low altitude. Warsaw: Military University of Technology (in Polish).
• 8. Lekkerkerk, H-J. & Theijs, M.J. (2011) Handbook of offshore surveying. Oil Pub – Skill Trade.
• 9. Liu, Y., Wang, X, Ling, F., Xu, S. & Wang, Ch. (2017) Analysis of Coastline Extraction from Landsat-8 OLI Imagery. Water 9(11), 816, doi: 10.3390/w9110816.
• 10. Łubczonek, J. (2016) Geoprocessing of High Resolution Imageries for Shoreline Extraction in the Process of the Production of Inland Electronic Navigation Charts. Photogrammetrie-Fernerkundung-Geoinformation 4, pp. 225– 235.
• 11. Łubczonek, J. & Włodarczyk, M. (2010) Charting of the shoreline of inland waters using digital remote sensing images. Scientific Journals of the Maritime University of Szczecin, Zeszyty Naukowe Akademii Morskiej w Szczecinie 22 (94), pp. 53–58.
• 12. Łubczonek, J. & Zaniewicz, G. (2013) Analysis of selected methods for enhancing the content of sonar images. Annals of Geomatics 11(2 (59)), pp. 59–68 (in Polish).
• 13. Mazel, Ch. (1985) Side Scan Sonar Record Interpretation. Klein Associates Inc.,
• 14. Paravolidakis, V., Ragia, L., Moirogiorgou, K. & Zervakis, M.E. (2018) Automatic Coastline Extraction Using Edge Detection and Optimization Procedures. Geosciences 8 (11), 407, doi: 10.3390/geosciences8110407.
• 15. Sawicki, P. (2012) Unmanned aerial vehicles in photogrammetry and remote sensing – state of the art and trends. Archives of Photogrammetry, Cartography and Remote Sensing 23, pp. 365–376 (in Polish)
• 16. Stateczny, A. & Łubczonek, J. (2011) Selected aspects of the elaboration, verification and implementation of inland electronic charts for RIS area in Poland. Logistyka 6.
• 17. Templin, T., Popielarczyk, D. & Kosecki, R. (2018) Application of Low-Cost Fixed-Wing UAV for Inland Lakes Shoreline Investigation. Pure and Applied Geophysics 175, 9, pp. 3263-3283.
• 18. Wierzbicki, D. (2018) Multi-Camera Imaging System for UAV Photogrammetry. Sensors 18 (8), 2433, doi: 10.3390/ s18082433.
• 19. Wierzbicki, D., Fryśkowska, A., Kędzierski, M., Wojtkowska, M. & Deliś, P. (2018) Method of radiometric quality assessment of NIR images acquired with a custom sensor mounted on an unmanned aerial vehicle. Journal of Applied Remote Sensing 12 (1), doi: 10.1117/1.JRS.2.015008.
• 20. Wilkowski, W., Lisowski, M., Wyszyński, M. & Wierzbicki, D. (2017) The use of unmanned aerial vehicles (drones) to determine the shoreline of natural watercourses. Journal of Water and Land Development 35 (X–XII), pp. 259–264.

Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).