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Close Range Photogrammetry in the Survey of the Coastal Area Geoecological Conditions (on the Example of Portugal)

Received: 30 May 2015     Accepted: 1 June 2015     Published: 7 July 2015
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Abstract

Close range digital photogrammetry, which involves the application of unmanned aerial vehicle (UAV), has been used in a growing number of diverse applications across different scientific disciplines. Our objective was to use the mentioned method in the survey of the contemporary geoecological conditions of the coastal area on the example of Portuguese northwest coastal zone. The coastal zone can be subdivided into two geomorphological sectors: Sector 1, between the Minho River and the town of Espinho, where the coastal segments consist of estuaries, sandy and shingle beaches with rocky outcrops, and Holocene dune systems. The estuaries and the foredunes in particular are very degraded by human activities; and Sector 2, between Espinho and the Mondego Cape, where coastal lagoons and Holocene dune systems occur. We chose two beaches for surveying – Aguçadoura and Ramalha to which the drone swinglet CAM took the photos. We used the ground control software eMotion 2 to plan the flights over the study area and controlled the drone’s trajectory during flight. After processing the obtained images in the program of AgisoftPhotoscanPro, we generated the 2D orthophotos and 3D digital elevation models (DEM) of the research sections. At this stage of study we derived the above product without using the ground control points, or we used only the camera GPS data. Based on these models the compilation of the large-scale maps of high resolution (1cm-5cm) will be possible in the GISs for monitoring and management of the geoecological state of the mentioned beaches in case to precise the x, y and z values of the models with the geodetic device of Differential GPSs in the selected ground control points (GCP).

Published in Earth Sciences (Volume 4, Issue 5-1)

This article belongs to the Special Issue Modern Problems of Geography and Anthropology

DOI 10.11648/j.earth.s.2015040501.17
Page(s) 35-40
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2015. Published by Science Publishing Group

Keywords

Unmanned Aerial Vehicle, Beach, Orthophoto, Digital Elevation Model, Accuracy

References
[1] L. Markelin. “Radiometric calibration, validation and correction of multispectral photogrammetric imagery”. Publications of Finnish Geodetic Institute, No: 148. Tampere, 2013, p. 13.J. Clerk Maxwell, A Treatise on Electricity and Magnetism, 3rd ed., vol. 2. Oxford: Clarendon, 1892, pp.68–73.
[2] H. Eisenbeiss and M. Sauerbier. “Investigation of uav systems and flight modes for photogrammetric applications”. The Photogrammetric Record, 26 (136): 400–421. doi: 10.1111/j.1477-9730.2011.00657.x. K. Elissa, “Title of paper if known,” unpublished.
[3] J.A. Gonçalves and R. Henriques. “Uav photogrammetry for topographic monitoring of coastal areas”. ISPRS Journal of Photogrammetry and Remote Sensing. Volume 104, 2015, pp.101–111.
[4] A. Bio, L.Bastos, H. Granja, J. L. S. Pinho, J. A. Gonçalves, R. Henriques, S.Madeira, A.Magalhães, D. Rodrigues. „Methods for coastal monitoring and erosion risk assessment: two Portuguese case studies“. Journal of Integrated Coastal Zone Management; 15(1):47-63. DOI: 10.5894/rgci490; 2015, pp.47-63.M. Young, The Technical Writer's Handbook. Mill Valley, CA: University Science, 198.
[5] “Portugal. II. Physical-geographical characteristics”. Great Soviet Encyclopedia V.35, 2nd edition. Lead Editor B.A. Vvedensky. State Scientific Publishing House “Bolshaia sovetskaia entsiklopedyia”, Moscow), 1955, p.200 (Portugalya. II. Fiziko-geografichesky ocherk (1955). Bolshaya sovetskaya enciklopedya. T. 35, II vipusk. Glavnyi redaktor B. A. Vvedensky. Gosudarstvennoe nauchnoe izdatelstvo “Bolshaia sovetskaia entsiklopedija”, Moskva, c. 200). (in Russian).
[6] J. P. F. Carvalho. “Coastal and dune systems rehabilitation – The case of Quiaios-Mira coastal zone of Portugal”. Ecological Engineering Applied to Environmental Restoration in Mediterranean Areas, CIHEAM, Zaragoza, Spain, June 7-18, 2004, p.1.
[7] H. M. Granja. „Evidence for Late Pleistocene and Holocene sea-level, neotectonic and climate control in the coastal zone of northwest Portugal“. Geologie en Mijnbouw (Impact Factor: 0.89), Volume 77, Issue3-4, 1998, p. 233.
[8] http://www.world66.com/europe/portugal/pvoa_de_varzim/beaches/aguadoura_beach
[9] http://www.playocean.net/en/portugal/esposende/beaches/praia-da-ramalha-beach
[10] https://www.sensefly.com/operations/overview.html
[11] https://www.unavco.org/software/geodetic-utilities/geoid-height-calculator/geoid-height-calculator.html.
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  • APA Style

    Nino Chikhradze, Renato Henriques, Mikheil Elashvili, Giorgi Kirkitadze, Zurab Janelidze, et al. (2015). Close Range Photogrammetry in the Survey of the Coastal Area Geoecological Conditions (on the Example of Portugal). Earth Sciences, 4(5-1), 35-40. https://doi.org/10.11648/j.earth.s.2015040501.17

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    ACS Style

    Nino Chikhradze; Renato Henriques; Mikheil Elashvili; Giorgi Kirkitadze; Zurab Janelidze, et al. Close Range Photogrammetry in the Survey of the Coastal Area Geoecological Conditions (on the Example of Portugal). Earth Sci. 2015, 4(5-1), 35-40. doi: 10.11648/j.earth.s.2015040501.17

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    AMA Style

    Nino Chikhradze, Renato Henriques, Mikheil Elashvili, Giorgi Kirkitadze, Zurab Janelidze, et al. Close Range Photogrammetry in the Survey of the Coastal Area Geoecological Conditions (on the Example of Portugal). Earth Sci. 2015;4(5-1):35-40. doi: 10.11648/j.earth.s.2015040501.17

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  • @article{10.11648/j.earth.s.2015040501.17,
      author = {Nino Chikhradze and Renato Henriques and Mikheil Elashvili and Giorgi Kirkitadze and Zurab Janelidze and Nana Bolashvili and George Lominadze},
      title = {Close Range Photogrammetry in the Survey of the Coastal Area Geoecological Conditions (on the Example of Portugal)},
      journal = {Earth Sciences},
      volume = {4},
      number = {5-1},
      pages = {35-40},
      doi = {10.11648/j.earth.s.2015040501.17},
      url = {https://doi.org/10.11648/j.earth.s.2015040501.17},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.earth.s.2015040501.17},
      abstract = {Close range digital photogrammetry, which involves the application of unmanned aerial vehicle (UAV), has been used in a growing number of diverse applications across different scientific disciplines. Our objective was to use the mentioned method in the survey of the contemporary geoecological conditions of the coastal area on the example of Portuguese northwest coastal zone. The coastal zone can be subdivided into two geomorphological sectors: Sector 1, between the Minho River and the town of Espinho, where the coastal segments consist of estuaries, sandy and shingle beaches with rocky outcrops, and Holocene dune systems. The estuaries and the foredunes in particular are very degraded by human activities; and Sector 2, between Espinho and the Mondego Cape, where coastal lagoons and Holocene dune systems occur. We chose two beaches for surveying – Aguçadoura and Ramalha to which the drone swinglet CAM took the photos. We used the ground control software eMotion 2 to plan the flights over the study area and controlled the drone’s trajectory during flight. After processing the obtained images in the program of AgisoftPhotoscanPro, we generated the 2D orthophotos and 3D digital elevation models (DEM) of the research sections. At this stage of study we derived the above product without using the ground control points, or we used only the camera GPS data. Based on these models the compilation of the large-scale maps of high resolution (1cm-5cm) will be possible in the GISs for monitoring and management of the geoecological state of the mentioned beaches in case to precise the x, y and z values of the models with the geodetic device of Differential GPSs in the selected ground control points (GCP).},
     year = {2015}
    }
    

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    AB  - Close range digital photogrammetry, which involves the application of unmanned aerial vehicle (UAV), has been used in a growing number of diverse applications across different scientific disciplines. Our objective was to use the mentioned method in the survey of the contemporary geoecological conditions of the coastal area on the example of Portuguese northwest coastal zone. The coastal zone can be subdivided into two geomorphological sectors: Sector 1, between the Minho River and the town of Espinho, where the coastal segments consist of estuaries, sandy and shingle beaches with rocky outcrops, and Holocene dune systems. The estuaries and the foredunes in particular are very degraded by human activities; and Sector 2, between Espinho and the Mondego Cape, where coastal lagoons and Holocene dune systems occur. We chose two beaches for surveying – Aguçadoura and Ramalha to which the drone swinglet CAM took the photos. We used the ground control software eMotion 2 to plan the flights over the study area and controlled the drone’s trajectory during flight. After processing the obtained images in the program of AgisoftPhotoscanPro, we generated the 2D orthophotos and 3D digital elevation models (DEM) of the research sections. At this stage of study we derived the above product without using the ground control points, or we used only the camera GPS data. Based on these models the compilation of the large-scale maps of high resolution (1cm-5cm) will be possible in the GISs for monitoring and management of the geoecological state of the mentioned beaches in case to precise the x, y and z values of the models with the geodetic device of Differential GPSs in the selected ground control points (GCP).
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Author Information
  • Vakhushti Bagrationi Institute of Geography, Ivane Javakhishvili Tbilisi State University, Tbilisi, Georgia

  • Department of Earth Sciences, School of Sciences, University of Minho, Braga, Portugal

  • School of Natural Sciences and Engineering, Ilia State University, Tbilisi, Georgia

  • School of Natural Sciences and Engineering, Ilia State University, Tbilisi, Georgia

  • School of Natural Sciences and Engineering, Ilia State University, Tbilisi, Georgia

  • Vakhushti Bagrationi Institute of Geography, Ivane Javakhishvili Tbilisi State University, Tbilisi, Georgia

  • Vakhushti Bagrationi Institute of Geography, Ivane Javakhishvili Tbilisi State University, Tbilisi, Georgia

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