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Politechnika Morska w Szczecinie

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Author Łącka, Małgorzata
Affiliation Maritime University of Szczecin Faculty of Navigation, Department of Geoinformatics Maritime University of Szczecin 1-2 Wały Chrobrego St., 70-500 Szczecin, Poland 46 Żołnierska St., 71-250 Szczecin, Poland
E-mail m.lacka@am.szczecin.pl
Author Łubczonek, Jacek
Affiliation Maritime University of Szczecin Chair of Geoinformatics 1-2 Wały Chrobrego St., 70-500 Szczecin, Poland 46 Żołnierska St., 71-250 Szczecin, Poland
E-mail j.lubczonek@am.szczecin.pl
ISSN printed 1733-8670
URI https://repository.pm.szczecin.pl/handle/123456789/2696
Abstract The shoreline is an important geographical zone, and knowledge of its accurate location can be crucial for coastal management and mapping. The ever-increasing number of aerial and satellite sensors is leading to research related to the development of new methods for the automatic extraction of the shoreline. Currently, there is a lot of research in this area with different research methodologies. In this paper, an analysis of shoreline extraction methods was carried out. Based on the analysis undertaken, current research processes in this field can be verified. This enabled the further evaluation of the research methodologies studied, including the identification of basic assessment elements for shoreline extraction accuracy. Practical aspects of this work include the ability to establish the correct methods to assess the accuracy of extracted shorelines for both research and production processes related to data extracted from remotely sensed images.
Publisher Scientific Journals Maritime University of Szczecin, Zeszyty Naukowe Akademia Morska w Szczecinie
Keywords shoreline
Keywords coastline
Keywords remote sensing data
Keywords quality assessment
Keywords quantity assessment
Keywords accuracy assessment
Title Analysis of qualitative and quantitative assessment methods for shoreline extraction
Type Original scientific article
References
  1. Aedla, R., Dwarakish, G.S. & Reddy, D.V. (2015) Automatic Shoreline Detection and Change Detection Analysis of Netravati-GurpurRivermouth Using Histogram Equalization and Adaptive Thresholding Techniques. Aquatic Procedia 4, pp. 563–570, doi: 10.1016/j.aqpro.2015.02.073.
  2. Alicandro, M., Baiocchi, V., Brigante, R. & Radicioni, F. (2019) Automatic shoreline detection from eight-band VHR satellite imagery. Journal of Marine Science and Engineering, 7(12), 459, doi: 10.3390/jmse7120459.
  3. Alparone, L., Aiazzi, B., Baronti, S., Garzelli, A., Nencini, F. & Selva, M. (2008) Multispectral and panchromatic data fusion assessment without reference. Photogrammetric Engineering and Remote Sensing 74(2), pp. 193–200, doi: 10.14358/PERS.74.2.193.
  4. Baselice, F., Ferraioli, G. & Pascazio, V. (2012) Coastal line extraction from SAR multi-channel images. IEEE 2012 Tyrrhenian Workshop on Advances in Radar and Remote Sensing (TyWRRS), pp. 322–325, doi: 10.1109/TyWRRS.2012.6381149.
  5. Bayram, B., Vãrna, I., Oğurlu, M., Bozkurt, S., Çatal, H. & Zafer Seker, D. (2015) Shoreline Extraction and Change Detection using 1:5000 Scale Orthophoto Maps: A Case Study of Latvia-Riga. International Journal of Environment and Geoinformatics 2(3), pp. 1–6, doi: 10.30897/ ijegeo.303552.
  6. Bishop-Taylor, R., Sagar, S., Lymburner, L., Alam, I. & Sixsmith, J. (2019) Sub-pixel waterline extraction: Characterising accuracy and sensitivity to indices and spectra. Remote Sensing 11(24), 2984, doi: 10.3390/rs11242984.
  7. Boak, E.H. & Turner, I.L. (2005) Shoreline Definition and Detection: A Review. Journal of Coastal Research 21(21), pp. 688–703, doi: 10.2112/03-0071.1.
  8. Braga, F., Tosi, L., Prati, C. & Alberotanza, L. (2013) Shoreline detection: Capability of COSMO-SkyMed and high-resolution multispectral images. European Journal of Remote Sensing 46(1), pp. 837–853, doi: 10.5721/EuJRS20134650.
  9. Bruno, M.F., Molfetta, M.G., Pratola, L., Mossa, M., Nutricato, R., Morea, A., Nitti, D.O. & Chiaradia, M.T. (2019) A combined approach of field data and earth observation for coastal risk assessment. Sensors 19(6), 1399, doi: 10.3390/s19061399.
  10. Dai, C., Howat, I.M., Larour, E. & Husby, E. (2019) Coastline extraction from repeat high resolution satellite imagery. Remote Sensing of Environment 229, pp. 260–270, doi: 10.1016/j.rse.2019.04.010.
  11. Dolan, R., Hayden, B. & Heywood, J. (1978) A new photogrammetric method for determining shoreline erosion. Coastal Engineering 2, pp. 21–39, doi: org/10.1016/0378- 3839(78)90003-0.
  12. European Commission (2007) Directive 2007/60/EC of the European Council and European Parliament of 23 October 2007 on the assessment and management of flood risks. Official Journal of the European Union 2455, 27–34.
  13. Ferrentino, E., Nunziata, F. & Migliaccio, M. (2017) Full-polarimetric SAR measurements for coastline extraction and coastal area classification. International Journal of Remote Sensing 38(23), pp. 7405–7421, doi: 10.1080/01431161.2017.1376128.
  14. Guastaferro, F., Maglione, P., Parente, C. & Santamaria, R. (2011) Automatic extraction of coastline from IKONOS satellite images. Geomatica Le Radici Del Futuro Tributo a Sergio Degual and Riccardo Galetto, pp. 109–116, Pavia, Italy (in Italy).
  15. Himmelstoss, E.A., Hendorson, R.E., Kratzmann, M.G. & Farris, A.S. (2018) Digital Shoreline Analysis System (DSAS) Version 5.0 User Guide. U.S. Geological Survey Open-File Report 2018-1179, doi: 10.3133/ofr20181179.
  16. Huang, C., Zhang, H. & Zhao, J. (2020) High-efficiency determination of coastline by combination of tidal level and coastal zone DEM from UAV tilt photogrammetry. Remote Sensing 12(14), 2189, doi: 10.3390/rs12142189.
  17. Jezek, K.C. (1999) Glaciological properties of the Antarctic ice sheet from RADARSAT-1 synthetic aperture radar imagery. Annals of Glaciology 29, pp. 286–290, doi: 10.3189/172756499781820969
  18. Jiang, H., Feng, M., Zhu, Y., Lu, N., Huang, J. & Xiao, T. (2014) An automated method for extracting rivers and lakes from Landsat imagery. Remote Sensing 6(6), pp. 5067–5089, doi: 10.3390/rs6065067.
  19. Khurshid, M.H. & Khan, M.F. (2012) River extraction from high resolution satellite images. IEEE 2012 5th International Congress on Image and Signal Processing (CISP), pp. 697–700, doi: 10.1109/CISP.2012.6469675.
  20. Latini, D., Del Frate, F., Palazzo, F. & Minchella, A. (2012) Coastline extraction from SAR COSMO-SkyMed data using a new neural network algorithm. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), (1), pp. 5975–5977, doi: 10.1109/IGARSS.2012.6352247.
  21. Li, R., Ma, R. & Di, K. (2002) Digital tide-coordinated shoreline. Marine Geodesy 25(1–2), pp. 27–36, doi: 10.1080/014904102753516714.
  22. Liu, H. & Jezek, K.C. (2004a) A complete high-resolution coastline of Antarctica extracted from orthorectified radarsat SAR imagery. Photogrammetric Engineering and Remote Sensing 70(5), pp. 605–616, doi: 10.14358/PERS.70.5.605.
  23. Liu, H. & Jezek, K.C. (2004b) Automated extraction of coastline from satellite imagery by integrating Canny edge detection and locally adaptive thresholding methods. International Journal of Remote Sensing 25(5), pp. 937–958, doi: 10.1080/0143116031000139890.
  24. Liu, H., Wang, L., Sherman, D., Wu, Q. & Su, H. (2011) Algorithmic Foundation and Software Tools for Extracting Shoreline Features from Remote Sensing Imagery and LiDAR Data. Journal of Geographic Information System 03(02), pp. 99–119, doi: 10.4236/jgis.2011.32007.
  25. Liu, Y., Wang, X., Ling, F., Xu, S. & Wang, C. (2017) Analysis of coastline extraction from Landsat-8 OLI imagery. Water 9(11), 816, doi: 10.3390/w9110816.
  26. Lubczonek, J. (2017) Application of Sentinel-1 imageries for shoreline extraction. IEEE 18th International Radar Symposium (IRS), doi: 10.23919/IRS.2017.8008161.
  27. Maglione, P., Parente, C. & Vallario, A. (2014) Coastline extraction using high resolution WorldView-2 satellite imagery. European Journal of Remote Sensing 47(1), pp. 685–699, doi: 10.5721/EuJRS20144739.
  28. 685–699, doi: 10.5721/EuJRS20144739. 28. Mangor, K., Drønen, N.K., Kærgaard, K.H. & Kristensen, S.E. (2017) Shoreline management guidelines. Hørsholm, Denmark: DHI.
  29. Mercer, J.H. (1978) West Antarctic ice sheet and CO2 greenhouse effect: a threat of disaster. Nature 271(5643), pp. 321–325, doi: 10.1038/271321a0.
  30. Mika, M., Siejka, M. & Leń, P. (2016) Dynamics of the shoreline of a mountainous rever in terms of updating the registry map – case study. Infrastructure and Ecology of Rural Areas II/1, pp. 247–260, http://dx.medra.org/10.14597/ infraeco.2016.2.1.017 (in Polish).
  31. Modava, M. & Akbarizadeh, G. (2017) Coastline extraction from SAR images using spatial fuzzy clustering and the active contour method. International Journal of Remote Sensing 38(2), pp. 355–370, doi: 10.1080/01431161.2016.1266104.
  32. NOAA Office of Response and Restoration (2021) ESI Shoreline Type. [Online]. Available from: https://response. restoration.noaa.gov/esi-shoreline-types [Accessed: February 6, 2021].
  33. Pais-Barbosa, J., Teodoro, A.C., Veloso-Gomes, F., Taveira-Pinto, F. & Gonçalves, H. (2011) How can remote sensing data/techniques help us to understand beach hydromorphological behavior? Littoral 2010 – Adapting to Global Change at the Coast: Leadership, Innovation, and Investment, doi: 10.1051/litt/201112002.
  34. 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
  35. Pardo-Pascual, J.E., Almonacid-Caballer, J., Ruiz, L.A. & Palomar-Vázquez, J. (2012) Automatic extraction of shorelines from Landsat TM and ETM+ multi-temporal images with subpixel precision. Remote Sensing of Environment 123, pp. 1–11, doi: 10.1016/j.rse.2012.02.024.
  36. Parente, C. & Santamaria, R. (2013) Increasing Geometric Resolution of Data Supplied by Quickbird Multispectral Sensors. Sensors and Transducers 156(9/13), pp. 111–115.
  37. Pesaresi, M., Ehrlich, D., Kemper, T., Siragusa, A., Florczyk, A.J., Freire, S. & Corbane, C. (2017) Atlas of the Human Planet 2017. Global Exposure to Natural Hazards. JRC Science for Policy Report, European Commission, doi: 10.2760/19837.
  38. Sekovski, I., Stecchi, F., Mancini, F. & Del Río, L. (2014) Image classification methods applied to shoreline extraction on very high-resolution multispectral imagery. International Journal of Remote Sensing 35(10), pp. 3556–3578, doi: 10.1080/01431161.2014.907939.
  39. Shi, Y., Wu, L., Bian, F. & Li, X. (2010) Automatic coastline extraction in remotely sensed images using improved watershed algorithm. IEEE 2nd International Conference on Information Science and Engineering, pp. 2671–2674, doi: 10.1109/ICISE.2010.5691333.
  40. Subotowicz, W. (2018) Brzeg morski – element środowiska morskiego (Beaches as the element of marine environment). Inżynieria Morska i Geotechnika 2, pp. 79–81 (in Polish).
  41. 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, doi: 10.1007/s00024-017-1707-7.
  42. Toure, S., Diop, O., Kpalma, K. & Seidou Maiga, A. (2019) Shoreline detection using optical remote sensing: A review. ISPRS International Journal of Geo-Information 8(2), 75, doi: 10.3390/ijgi8020075.
  43. Wald, L. (2000) Quality of high resolution synthesised images: Is there a simple criterion ? In Proceedings of the third conference ‘Fusion of Earth data: merging point measurements, raster maps and remotely sensed images’, Sophia Antipolis, France, January 26–28, 2000 (June), pp. 99–103.
  44. Walker, H.J. (ed.) (1988) Artificial Structures and Shorelines. 1st Edition. Springer, Dordrecht, doi: 10.1007/978-94- 009-2999-9.
  45. Wiedemann, C., Heipke, C., Mayer, H. & Jamet, O. (1998) Empirical Evaluation of Automatically Extracted Road Axes. Workshop on Empirial Evaluation on Methods in Computer Vision, pp. 172–187.
  46. Wilkowski, W., Lisowki, 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(1), pp. 259–264, doi: 10.1515/jwld-2017-0092.
  47. Williams, Jr., R.S., Ferrigno, J.G. & Foley, K.M. (1995) Coastal-change and glaciological maps of Antarctica. Annals of Glaciology 21, pp. 284–290, doi: 10.3189/ s0260305500015950.
  48. Xu, S., Ye, N. & Xu, S. (2019) A new method for shoreline extraction from airborne lidar point clouds. Remote Sensing Letters 10(5), pp. 496–505, doi: 10.1080/2150704X.2019.1569277.
  49. Yang, B., Hwang, C. & Cordell, H.K. (2012) Use of LiDAR shoreline extraction for analyzing revetment rock beach protection: A case study of Jekyll Island State Park, USA. Ocean & Coastal Management 69, pp. 1–15, doi: 10.1016/j.ocecoaman.2012.06.007.
  50. Yin, J. & He, F. (2011) Researching the method of coastline extracted by remote sensing image. IEEE International Conference on Remote Sensing, Environment and Transportation Engineering, pp. 3441–3444, doi: 10.1109/ RSETE.2011.5965052.
  51. Zhang, T., Yang, X., Hu, S. & Su, F. (2013) Extraction of coastline in aquaculture coast from multispectral remote sensing images: Object-based region growing integrating edge detection. Remote Sensing 5(9), pp. 4470–4487, doi: 10.3390/rs5094470.
  52. Zhu, Z., Tang, Y., Hu, J. & An, M. (2019) Coastline Extraction from High-Resolution Multispectral Images by Integrating Prior Edge Information with Active Contour Model. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 12(10), pp. 4099–4109, doi: 10.1109/JSTARS.2019.2939297.
ISSN on-line 2392-0378
Language English
Funding No data
Figures 2
Tables 3
DOI 10.17402/495
Published 2022-03-31
Accepted 2021-11-29
Recieved 2021-09-25


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