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Investigation of landslide detection using radial basis functions: a case study of the Taşkent landslide, Turkey

Environmental Monitoring and Assessment · Nisan 2020

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YÖKSİS Kayıtları
Investigation of landslide detection using radial basis functions: a case study of the Taşkent landslide, Turkey
Environmental Monitoring and Assessment · 2020 SCI-Expanded
Doç. Dr. MUSTAFA ZEYBEK →
Investigation of landslide detection using radial basis functions: a case study of the Taşkent landslide, Turkey
Environmental Monitoring and Assessment · 2020 SCI-Expanded
Doç. Dr. MUSTAFA ZEYBEK →
YÖKSİS ISSN Eşleşmesi

Bu dergide (ISSN eşleşmesi) kurumun 20 kaydı bulundu.

YÖKSİS Kayıtları — ISSN Eşleşmesi
Mineral and heavy metal contents of the outer and inner tissues of commonly used fruits
2012 ISSN: 0167-6369 SCI-Expanded 10 atıf
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2012 ISSN: 0167-6369 SCI-Expanded 1 atıf
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Comparative evaluation of some macro and micro element and heavy metal contents in commercial fruit juices
2012 ISSN: 0167-6369 SCI-Expanded 5 atıf
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Assessment of soil quality index for wheat and sugar beet cropping systems on an entisol in Central Anatolia
2017 ISSN: 0167-6369 SCI-Expanded Q3
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Investigation of landslide detection using radial basis functions: a case study of the Taşkent landslide, Turkey
2020 ISSN: 0167-6369 SCI-Expanded Q3
Doç. Dr. MUSTAFA ZEYBEK →
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Makale Bilgileri

ISSN01676369
Yayın TarihiNisan 2020
Cilt / Sayfa192
Özet This paper investigates landslide detection over flat and steep-slope areas with large forest cover using different radial basis function interpolation methods, which can affect the quality of a digital elevation model. Unmanned aerial vehicles have been widely used in landslide detection studies. The generation of image-based point clouds is achievable with various matching algorithms from computer vision systems. Point cloud-based analysis was performed by generating multi-temporal digital elevation models to detect landslide displacement. Interpolation methodology has a crucial task to fill the gaps in insufficient areas that result from filtered areas or sensors that do not generate spatial information. Radial basis function interpolations are the most commonly used technique for estimating the unknown values in survey areas. However, the quality of the radial basis function interpolation methods for landslide studies has not been thoroughly investigated in previous studies. In this study, radial basis function interpolation methods are investigated and compared with the global navigational satellite systems, which provide high accuracy for geodetic measurement systems. The main purpose of this study was to investigate the various radial basis function models to detect landslides using a point cloud-based digital elevation model and determine the quality of detection with global navigational satellite systems. As a result of this study, each of the radial basis function-generated digital elevation models was found to be statistically compatible with global navigational satellite systems, resulting in displacements from the ground truth data.

Yazarlar (2)

1
Mustafa Zeybek
ORCID: 0000-0001-8640-1443
2
İsmail Şanlıoğlu
ORCID: 0000-0002-3093-335X

Anahtar Kelimeler

Global navigational satellite systems Interpolation Landslide detection Point cloud Radial basis functions

Kurumlar

Artvin Coruh University, Turkey
Artvin Turkey
Konya Technical University
Konya Turkey
Scimago Dergi (ISSN Eşleşmesi)
Environmental Monitoring and Assessment
Q2
SJR Skoru0,832
H-Index161
YayıncıSpringer Science and Business Media Deutschland GmbH
ÜlkeGermany
Environmental Science (miscellaneous) (Q2)
Management, Monitoring, Policy and Law (Q2)
Medicine (miscellaneous) (Q2)
Pollution (Q2)
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Metrikler

15
Atıf
2
Yazar
5
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