Accurate determination of the Taşkent (Konya, Turkey) landslide using a long-range terrestrial laser scanner

Zeybek, Mustafa; Şanlıoğlu, İsmail

doi:10.1007/s10064-014-0592-x

Cited by 23 publications

(9 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Rockfall analysis based on UAV technology in Kazıklıali Gorge, Aladağlar (Taurus Mountains, Turkey), International Journal of Environment and Geoinformatics (IJEGEO), 7(3): 239-251. DOI: 10.30897/ijegeo.740963 (Topal et al 2007(Topal et al , 2012Ulusay et al 2006;Aydın 2007;Yılmaz et al 2008;Zorlu et al 2008Zorlu et al , 2011Tunusluoglu and Zorlu 2009;Binal and Ercanoǧlu 2010;Aydın et al 2012;Keskin 2013;Zeybek and Şanlıoğlu 2014;Topal and Hatipoglu 2015;Kaya and Topal 2015;Polat et al 2016;Taga and Zorlu 2016;Gül et al 2016;Dinçer et al 2016;Török et al 2017;Geniş et al 2017;Aydın and Eker 2017;Kayabaşı 2018;Ozturk et al 2019). In particular, the provinces of Sivas, Erzurum, Adıyaman, Nevşehir, Niğde, Kayseri and Artvin have the highest rockfalls risk (Ergünay 2007;Gökçe et al 2008;Şener 2019).…”

Section: Reaserch Articlementioning

confidence: 99%

Rockfall Analysis Based on UAV Technology in Kazıklıali Gorge, Aladağlar (Taurus Mountains, Turkey)

Utlu

Öztürk

Şimşek

2020

International Journal of Environment and Geoinformatics

View full text Add to dashboard Cite

Rockfall is one of the most dangerous hazards in mountainous and hilly areas. In this study, rockfall characteristics of the Kazıklıali Gorge (0.25 km 2) in the lower Emli River Basin located in the SW part of the Aladağlar Mountains was investigated using unmanned air vehicle (UAV) technology and rockfall modeling. To determine rockfall properties, an orthophoto and digital surface model which have a 3 cm resolution were created using UAV images. Then, whole fallen blocks more than 0.5 m in diameter were digitized as polygons in GIS. As a result, 10,348 fallen rocks were determined in Kazıklıali Gorge. Via these polygons, density maps were created and frequency distributions were calculated. According to the spatial distribution of density, the geomorphological characteristics of the canyon affect the rockfall density. While the upper and middle parts of the canyon which are the narrowest have high density, the lower part of the valley which is the largest part has low density. The results of 3D rockfall analysis show that the maximum kinetic energy, maximum jump height and maximum velocity reaches 1400 kJ, 15 m and 32 m/s on the canyon walls, respectively. The upper and middle parts of the canyon walls which correspond to high rockfall density have maximum kinetic energy, rock jump height and rock velocity.

show abstract

Section: Reaserch Articlementioning

confidence: 99%

Rockfall Analysis Based on UAV Technology in Kazıklıali Gorge, Aladağlar (Taurus Mountains, Turkey)

Utlu

Öztürk

Şimşek

2020

International Journal of Environment and Geoinformatics

View full text Add to dashboard Cite

show abstract

“…This is usually associated with a reasonable accuracy of less than ±10 mm at a range of 100 m. As a result of such developments in laser scanner technology, their use has become common in studies that monitor landslides and land deformation. Scanning from diverse points enables accurate geometric assessments over vast areas (Zeybek and Ş anlıoglu 2014).…”

Section: Terrestrial Laser Scanning (Tls)mentioning

confidence: 99%

“…Monitoring techniques based on such systems as the Global Navigational Satellite Systems (GNSS), interferometric synthetic aperture radar (InSAR) and terrestrial laser scanning (TLS) can be used for geomatic investigations of land movements and landslides (Zeybek and Ş anlıoglu 2014;Zhu et al 2014). The use of these methods in monitoring landslides has become commonplace following the development of GPS systems in the 2000s, which enabled a level of precision that could generate coordinate data with sensitivity of a few centimetres (Gili et al 2000;Yalçinkaya and Bayrak 2005;Ü stün et al 2014).…”

Section: Introductionmentioning

confidence: 99%

Monitoring landslides with geophysical and geodetic observations

2015

View full text Add to dashboard Cite

The objective of this study was to evaluate and predict land movement by integrating geodetic, geophysical and meteorological data in a landslide area. Specifically, electrical resistivity tomography surveying, Global Navigation Satellite System and terrestrial laser scanning techniques were integrated to monitor a landslide. The study area lies to the southeast of the town of Taşkent in southern Turkey, close to Balcılar in the Central Taurus mountain chain. Landslides result in considerable damage to structures, farmland and the environment in this area; therefore, it is important to characterise the size, extent and timing of past land movements in order to mitigate damage from future landslides. Analysis presented in this paper shows that the greatest land movements in the region occur in spring, when average motions can be up to 1.5 m per month. It is demonstrated that integrated techniques provide a better means for monitoring landslide processes and gathering data for predictions of future movements. Mapping landslide movements by integrating geophysical and geodetic observations can provide a meaningful evaluation of a landslide and its dynamics.

show abstract

“…Akbar et al [ 11 ] employed the integration of GPS, the Geographic Information System (GIS), and Remote Sensing (RS) to map a hill slide disaster map. Zeybek et al [ 12 ] used a long-range terrestrial laser scanner to measure the precision of Taşkent Landslide (Konya, Turkey). Liao et al [ 13 ] applied high-resolution SAR data to monitor landslides in the Three Gorges Reservoir area in China and were able to identify the precise location, deformation, and time range of the landslide more accurately.…”

Section: Introductionmentioning

confidence: 99%

An Optimum Deployment Algorithm of Camera Networks for Open-Pit Mine Slope Monitoring

Zhang

Tao

Meng

et al. 2021

Sensors

View full text Add to dashboard Cite

With the growth in demand for mineral resources and the increase in open-pit mine safety and production accidents, the intelligent monitoring of open-pit mine safety and production is becoming more and more important. In this paper, we elaborate on the idea of combining the technologies of photogrammetry and camera sensor networks to make full use of open-pit mine video camera resources. We propose the Optimum Camera Deployment algorithm for open-pit mine slope monitoring (OCD4M) to meet the requirements of a high overlap of photogrammetry and full coverage of monitoring. The OCD4M algorithm is validated and analyzed with the simulated conditions of quantity, view angle, and focal length of cameras, at different monitoring distances. To demonstrate the availability and effectiveness of the algorithm, we conducted field tests and developed the mine safety monitoring prototype system which can alert people to slope collapse risks. The simulation’s experimental results show that the algorithm can effectively calculate the optimum quantity of cameras and corresponding coordinates with an accuracy of 30 cm at 500 m (for a given camera). Additionally, the field tests show that the algorithm can effectively guide the deployment of mine cameras and carry out 3D inspection tasks.

show abstract

Accurate determination of the Taşkent (Konya, Turkey) landslide using a long-range terrestrial laser scanner

Cited by 23 publications

References 33 publications

Rockfall Analysis Based on UAV Technology in Kazıklıali Gorge, Aladağlar (Taurus Mountains, Turkey)

Rockfall Analysis Based on UAV Technology in Kazıklıali Gorge, Aladağlar (Taurus Mountains, Turkey)

Monitoring landslides with geophysical and geodetic observations

An Optimum Deployment Algorithm of Camera Networks for Open-Pit Mine Slope Monitoring

Contact Info

Product

Resources

About