Review article

The Role of Unmanned Aerial Vehicles in Monitoring Rapidly Occurring Landslides

Servet Yaprak orcid.org/0000-0001-9593-5201 ; Department of Geomatics Engineering, Faculty of Engineering and Natural Sciences, Gaziosmanpaşa University, Tokat, Turkey
Omer Yildirim ; Department of Geomatics Engineering, Faculty of Engineering and Natural Sciences, Gaziosmanpaşa University, Tokat, Turkey
Tekin Susam orcid.org/0000-0002-6284-8002 ; Department of Geomatics Engineering, Faculty of Engineering and Natural Sciences, Gaziosmanpaşa University, Tokat, Turkey
Samed Inyurt ; Department of Geomatics Engineering, Faculty of Engineering, Bulent Ecevit University, Zonguldak, Turkey
Irfan Oguz ; Department of Soil Science and Plant Nutrition, Faculty of Agriculture, Gaziosmanpaşa University, Tokat, Turkey

Abstract

This study used an unmanned aerial vehicle (UAV) that was designed and produced to monitor rapidly occurring landslides in forest areas. It aimed to determine the location data for the study area using image sensors integrated into the UAV. The study area was determined as the landslide sites located in the Taşlıçiftlik campus of Gaziosmanpaşa University, Turkey. It was determined that landslide activities were on going in the determined study area and data was collected regarding the displacement of materials. Additionally, it was observed that data about landslides may be collected in a fast and sensitive way using UAVs, and this method is proposed as a new approach. Flights took place over a total of five different periods. In order to determine the direction and coordinate variables for the developed model, eight Ground Control Points (GCPs), whose coordinates were obtained using the GNSS method, were placed on the study area. In each period, approximately 190 photographs were investigated. The photos obtained were analyzed using the Pix4D software. At the end of each period, the Root Mean Square and Ground Sample Distance (GSD) values of the GCPs were calculated. Orthomosaic and digital surface models (DSM) were produced for the location and height model. The results showed that max RMS=±3.3 cm and max GSD=3.57 cm. When the first and fifth periods were compared, the highest spatial displacement value ΔS=111.0 cm, the highest subsidence value Δh=37.3 cm and the highest swelling value Δh=28.6 cm were measured.

Keywords

Unmanned Aerial Vehicles (UAV); landslides; Ground Sample Distance (GSD); Digital Surface Model (DSM); orthomosaic

Hrčak ID:

204375

URI

https://hrcak.srce.hr/204375

Publication date:

28.6.2018.

Article data in other languages: croatian

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