Methodological features of aerial survey of coastal relief by UAV

Marina Krylenko; Viacheslav Krylenko

doi:10.1117/12.2569094

26 August 2020 Methodological features of aerial survey of coastal relief by UAV

Proceedings Volume 11524, Eighth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2020); 115241W (2020) https://doi.org/10.1117/12.2569094
Event: Eighth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2020), 2020, Paphos, Cyprus

Abstract

Relief as basic element of the natural complex significantly affects its components. Providing of the operational monitoring of the coastal zone relief is one of the important tasks of coastal investigations. This paper presents the adaptation of the methodology of digital aerial photography using drone and building a digital elevation model for high abrasion coast. It is shown, that unlike space and aerial photography from an airplane, drone surveys make it possible to monitoring of coastal areas with high surface slopes. This is necessary for the studying of abrasion coasts with pronounced cliff and complex relief. Aerial photographs of coastal cliffs are recommended to make by prepared flight routes using the vertical and inclined positions of the camera’s optical axis. Analysis of the obtained digital images and created digital elevation models showed that this type of survey is optimal for the considered natural object, but has a number of limitations. Low cost and speed of data acquisition are the advantages of the method.

Citation Download Citation

Marina Krylenko and Viacheslav Krylenko "Methodological features of aerial survey of coastal relief by UAV", Proc. SPIE 11524, Eighth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2020), 115241W (26 August 2020); https://doi.org/10.1117/12.2569094

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available