UAV Based Agricultural Planning and Landslide Monitoring

Yaprak, Servet and Yildirim, Ömer and Susam, Tekin (2017) UAV Based Agricultural Planning and Landslide Monitoring. TeMA Journal of Land Use, Mobility and Environment, 10 (3). pp. 325-338. ISSN 1970-9870

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Unmanned Aerial Vehicle (UAV) is finding a wide application field in areas such as map production, land survey, landslide, erosion, agricultural activities, and forest fires monitoring. In this study, an UAV equipped with SONY 6000 camera was used. The flight plan was prepared from 100 m height, and having 80% overlap and 60% sidelap rates. GNSS geodetic receivers and Ground Control Points (GCPs) were observed. GNSS signals were processed with LGO V.8.4 software to receive precise location information. 291 photographs for 50 hectares of landslide area were taken by UAV. All photos were processed by PIX4D software. In the field of the landslide area, 8 GCPs were included in the evaluation. 3D model were produced with pixel matching algorithms. Six period flights in different months were made for the landslide area and ground movements between the periods were observed. During this time interval , the volume of moving soil was determined. At the end of the study, RMSE for soil movement was obtained ±1.79 cm for landslide area. This study demonstrates that UAV-based high resolution orthophoto, 3D terrain model and point cloud data sets can be used to monitor the landslide, especially in micro small areas. It also was revealed that this method has some advantages over other traditional geomatics methods.

Item Type: Article
Uncontrolled Keywords: UAV Remote Sensing, Pix4D, image processing, orthomosaic and landslide monitoring
Subjects: 700 Arti, Belle arti e Arti decorative > 710 Urbanistica e paesistica > 711 Urbanistica (Pianificazione territoriale) (Classificare le opere d'insieme su Urbanistica e Architettura in 720; classificare le opere interdisciplinari sull'Urbanistica in 307.12)
Depositing User: Rosa Anna La Rocca
Date Deposited: 19 Jan 2018 11:01
Last Modified: 19 Jan 2018 11:01

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