6 February 2023 Kahramanmaraş – Türki̇ye Earthquakes: A General Overview

Gökçeoğlu, Candan

doi:10.5194/isprs-archives-xlviii-m-1-2023-417-2023

Cited by 11 publications

(1 citation statement)

References 6 publications

(7 reference statements)

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“…Detection of rock discontinuities is required in various fields such as tunnel, gallery, and deep shaft construction in underground mining operations, rock falls, the classification and stabilization of rock masses, etc. In addition, Türkiye is prone to rockfall with hundreds of incidents per year [2], such as when numerous fatalities occurred on February 6, 2023, during the Kahramanmaras earthquakes (7.7 Mw and 7.6 Mw) that occurred due to rockfall in mountainous areas [3]. Well-known rock mass classification systems involve the recent versions of the Rock Mass Rating (RMR) system introduced by Bieniawski [4], the Geological Strength Index (GSI) established by Hoek and Brown [5], and the Q system developed by Barton [6].…”

Section: Introductionmentioning

confidence: 99%

A Novel Rock Mass Discontinuity Detection Approach with CNNs and Multi-View Image Augmentation

Yalcin,

Can,

Gokceoglu

et al. 2024

IJGI

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Discontinuity is a key element used by geoscientists and civil engineers to characterize rock masses. The traditional approach to detecting and measuring rock discontinuity relies on fieldwork, which poses dangers to human life. Photogrammetric pattern recognition and 3D measurement techniques offer new possibilities without direct contact with rock masses. This study proposes a new approach to detect discontinuities using close-range photogrammetric techniques and convolutional neural networks (CNNs) trained on a small amount of data. Investigations were conducted on basalts in Bala, Ankara, Türkiye. A total of 34 multi-view images were collected with a remotely piloted aircraft system (RPAS), and discontinuity lines were manually delineated on a point cloud generated from these images. The lines were back-projected onto the raw images to increase the amount of data, a process we call multi-view (3D) augmentation. We further evaluated radiometric and geometric augmentation methods, the contribution of multi-view augmentation to the proposed model, and the transfer learning performance of six different CNN architectures. The highest performance was achieved with U-Net + SE-ResNeXt-50 with an F1-score of 90.6%. The CNN model trained from scratch with local features also yielded a similar F1-score (91.7%), which is the highest performance reported in the literature.

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Section: Introductionmentioning

confidence: 99%

A Novel Rock Mass Discontinuity Detection Approach with CNNs and Multi-View Image Augmentation

Yalcin,

Can,

Gokceoglu

et al. 2024

IJGI

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Impact of geohazards on cadastral data: an assessment after the 6 February 2023 Kahramanmaras earthquakes (Türkiye)

Yildiz,

Gokceoglu,

Kocaman

2024

Nat Hazards

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Humans set boundaries on land for thousands of years. Cadastre emerged as a system for registering them, whether they are marked on the ground (visible) or unmarked (invisible). Parcel boundary data stored in geospatial databases and supported with registration documents are legally binding in many countries. They are however subject to change physically due to anthropogenic activities and natural processes. Seismic activities inducing surface rupture, lateral spread, landslide, liquefaction, and rockfall are among the main natural causes yielding physical boundary alterations. Spatial pattern and magnitude of alterations depend on the geohazard type and geological characteristics of the area. If a cadastral database is not updated, the physical and registered boundary begins to diverge, leading to uncertainty that needs to be understood by both people and authorities. As a prominent example, the 6 February 2023 Kahramanmaras (Turkiye) earthquakes (Mw7.7 and Mw7.6), which affected a very large region covering approximately 100,000 km2, caused enormous alterations on the physical boundaries of approximately 5 million land parcels. In this study, we analyzed different boundary changes caused by this major event and proposed a conceptual framework based on physical, documentary, and spatial boundary definitions of cadastral parcels with examples from the Kahramanmaras earthquakes. Considering the size of the area and the immense cost of cadastral renovation projects, we analyzed the deformation patterns and possible magnitudes from an interdisciplinary perspective and presented an overview. The study findings provide insights for addressing boundary discrepancies, although additional research is required for comprehensive quantitative assessments across the entire area.

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The effects of earthquakes on midwifery students’ fear of death, anxiety and sense of life meaning

Çuvadar,

Aksoy

2024

Curr Psychol

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6 February 2023 Kahramanmaraş – Türki̇ye Earthquakes: A General Overview

Cited by 11 publications

References 6 publications

A Novel Rock Mass Discontinuity Detection Approach with CNNs and Multi-View Image Augmentation

A Novel Rock Mass Discontinuity Detection Approach with CNNs and Multi-View Image Augmentation

Impact of geohazards on cadastral data: an assessment after the 6 February 2023 Kahramanmaras earthquakes (Türkiye)

The effects of earthquakes on midwifery students’ fear of death, anxiety and sense of life meaning

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