Skip to main content
SpringerLink
Log in

Study of Morphological and Morphometric Characteristics of Tsimlyansk Reservoir Shores Using Unmanned Aerial Vehicles and GIS Technologies

  • Applied Problems of Arid Land Development
  • Published:
Arid Ecosystems Aims and scope Submit manuscript

Abstract

A new original method for monitoring the morphological and morphometric characteristics of different types of reservoir shores using unmanned aerial vehicles (UAVs) and the Agisoftphotoscan software tool is proposed. The application of this methodology is demonstrated based on the example of the shores of the Tsimlyansk Reservoir. The optimal parameters of UAVs for the monitoring of processes on abrasion, landslide, and accumulative shores have been established.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  • Kosolapov, A.E., Skripka, G.I., Bespalova, L.A., Ivlieva, O.V., Dandara, N.T., and Serdyuk, L.V., Zonation of the Tsimlyanskoe reservoir shores by the degree of appearance of dangerous exogenous geological processes, Estestv. Tekh. Nauki, 2017, no. 10 (112), pp. 59–68.

    Google Scholar 

  • Novikova, N.M., Volkova, N.A., and Nazarenko, O.G., The methodology for studying and assessing the impact of reservoirs on natural shore complexes, Arid Ecosyst., 2015, vol. 5, no. 4, pp. 268–276.

    Article  Google Scholar 

  • Skripka, G.I., Ivlieva, O.V., and Bespalova, L.A., Modern coastal processes in Tsimlyanskoe reservoir, Ekol. Ekon. Inf., Ser.: Sist. Anal. Model. Ekon. Ekol. Sist., 2017, vol. 1, no. 2, pp. 308–311.

    Google Scholar 

  • User’s guide on AgisoftPhotoScan: Professional edition, version 1.2. 2016. http://www.agisoft.com/pdf/photoscan-pro_1_2_ru.pdf. Accessed March 10, 2017.

Download references

Author information

Authors and Affiliations

  1. Russian Information-Analytic and Research Water Economy Center, Rostov-on-Don, 344000, Russia

    A. E. Kosolapov, G. I. Skripka, L. A. Bespalova, O. V. Ivlieva & A. A. Filatov

  2. Southern Federal University, Rostov-on-Don, 344006, Russia

    L. A. Bespalova & O. V. Ivlieva

Authors
  1. A. E. Kosolapov
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. G. I. Skripka
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. L. A. Bespalova
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. O. V. Ivlieva
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. A. A. Filatov
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to L. A. Bespalova.

Additional information

Original Russian Text © A.E. Kosolapov, G.I. Skripka, L.A. Bespalova, O.V. Ivlieva, A.A. Filatov, 2018, published in Aridnye Ekosistemy, 2018, Vol. 24, No. 3(76), pp. 41–47.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kosolapov, A.E., Skripka, G.I., Bespalova, L.A. et al. Study of Morphological and Morphometric Characteristics of Tsimlyansk Reservoir Shores Using Unmanned Aerial Vehicles and GIS Technologies. Arid Ecosyst 8, 184–189 (2018). https://doi.org/10.1134/S2079096118030034

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1134/S2079096118030034

Keywords

Search

Navigation