Tracing fault lineaments by remote sensing: Baklan Graben’s case

Ali Kaya; Erdal Akyol

Article Details

Tracing fault lineaments by remote sensing: Baklan Graben’s case

Authors:

Ali Kaya | Erdal Akyol

Publisher:

Gumushane University

Main Topics:

Mühendislik

Journal:

Gümüşhane Üniversitesi Fen Bilimleri Dergisi Vol.13 Issue 1, pp.73-85

Document Type:

Article

Publication Date:

1/2023

Document Language:

Turkish

Document ID (Org No.):

2001282407

pISSN:

2146-538X

Keywords:

Abstract:

 Identifying faults and revealing their characteristics are of great importance in terms of determining natural disaster risks, safe city infrastructure, stability of large engineering structures, groundwater and mineral zones. Faults form distinctive linear structures on the earth and these are usually easily distinguishable from the surface. Identification, mapping and related field studies of faults require a labor-intensive work. Aerial photographs, digital elevation models and aerial images are used to reduce the intensity of fieldwork and to detect the structural integrity of the larger area. There are not only faults in the land, but also many different linear structures such as roads, railroads and man-made fences that form a contrast. Remote sensing images are widely used in the detection and analysis of these lineaments. In this study, lineament analyzes were carried out using filtering, principal component analysis PCA, band ratio and false color composite displaying, result linearity map and automatic lineament extraction methods on Landsat-7 ETM satellite images as the basis. The results obtained were compared with the data obtained from field studies.

 Identifying faults and revealing their characteristics are of great importance in terms of determining natural disaster risks, safe city infrastructure, stability of large engineering structures, groundwater and mineral zones. Faults form distinctive linear structures on the earth and these are usually easily distinguishable from the surface. Identification, mapping and related field studies of faults require a labor-intensive work. Aerial photographs, digital elevation models and aerial images are used to reduce the intensity of fieldwork and to detect the structural integrity of the larger area. There are not only faults in the land, but also many different linear structures such as roads, railroads and man-made fences that form a contrast. Remote sensing images are widely used in the detection and analysis of these lineaments. In this study, lineament analyzes were carried out using filtering, principal component analysis PCA, band ratio and false color composite displaying, result linearity map and automatic lineament extraction methods on Landsat-7 ETM satellite images as the basis. The results obtained were compared with the data obtained from field studies.

 Identifying faults and revealing their characteristics are of great importance in terms of determining natural disaster risks, safe city infrastructure, stability of large engineering structures, groundwater and mineral zones. Faults form distinctive linear structures on the earth and these are usually easily distinguishable from the surface. Identification, mapping and related field studies of faults require a labor-intensive work. Aerial photographs, digital elevation models and aerial images are used to reduce the intensity of fieldwork and to detect the structural integrity of the larger area. There are not only faults in the land, but also many different linear structures such as roads, railroads and man-made fences that form a contrast. Remote sensing images are widely used in the detection and analysis of these lineaments. In this study, lineament analyzes were carried out using filtering, principal component analysis PCA, band ratio and false color composite displaying, result linearity map and automatic lineament extraction methods on Landsat-7 ETM satellite images as the basis. The results obtained were compared with the data obtained from field studies.

 Fayların belirlenmesi ve özelliklerinin ortaya konulması doğal afet risklerinin belirlenmesi, güvenli şehir altyapısı, büyük mühendislik yapılarının duraylılığı, yeraltı suları ile mineral zonlarının belirlenmesi açısından büyük önem taşımaktadır. Faylar yeryüzünde belirgin çizgisel yapılar oluştururlar ve bunlar genellikle yüzeyden kolayca ayırt edilebilirler. Fayların tespit edilmesi, haritalanması ve ilgili saha çalışmaları oldukça emek yoğun çalışma gerektirmektedir. Saha çalışmalarının yoğunluğunu azaltmak ve daha geniş alandaki yapısal bütünlüğü algılamak için hava fotoğrafları, yükseklik haritaları ve uydu görüntüleri kullanılmaktadır. Arazide sadece faylar değil, karayolu, demiryolu ve insan yapımı çit vb. karşıtlık oluşturan birçok farklı çizgisel yapı bulunmaktadır. Bu çizgiselliklerin tespiti ve analizinde uzaktan algılama görüntüleri yaygın olarak kullanılmaktadır. Bu çalışmada Landsat-7 ETM uydu görüntülerinden yararlanılarak filtreleme, temel bileşenler analizi TBA, bant oranlama, FCC False Color Composite bant kombinasyonları görüntüleme, sonuç çizgisellik haritası ve otomatik çizgisellik çıkarımı yöntemleriyle çizgisellik analizleri yapılmıştır. Elde edilen sonuçlar arazi çalışmalarından elde edilen verilerle karşılaştırılmıştır. Yöntemlerle genel çizgisellik hatları ortak olarak belirlenebilirken, belirlenen nesne sayısında farklılık olduğu, yönteme göre çizgiselliğe ait nesne sayısının değişebildiği ve en fazla nesne sayısının otomatik çizgisellik çıkarımı yöntemi ile üretildiği belirlenmiştir.

Article Details

Tracing fault lineaments by remote sensing: Baklan Graben’s case

Authors:

Ali Kaya | Erdal Akyol

Publisher:

Gumushane University

Main Topics:

Mühendislik

Journal:

Gümüşhane Üniversitesi Fen Bilimleri Dergisi Vol.13 Issue 1, pp.73-85

Document Type:

Article

Publication Date:

1/2023

Document Language:

Turkish

Document ID (Org No.):

2001282407

pISSN:

2146-538X

Baklan graben

Fault lineaments

Landsat-7

Remote sensing

Baklan grabeni

Fay çizgisellikleri

Uzaktan algılama

Landsat-7

Issues

Article Details

Authors: Ali Kaya | Erdal Akyol

Publisher: Gumushane University

Main Topics: Mühendislik

Journal: Gümüşhane Üniversitesi Fen Bilimleri Dergisi Vol.13 Issue 1, pp.73-85

Document Type: Article

Publication Date: 1/2023

Document Language: Turkish

Document ID (Org No.): 2001282407

pISSN: 2146-538X

Issues

Authors:

Ali Kaya | Erdal Akyol

Publisher:

Gumushane University

Main Topics:

Mühendislik

Journal:

Gümüşhane Üniversitesi Fen Bilimleri Dergisi Vol.13 Issue 1, pp.73-85

Document Type:

Article

Publication Date:

1/2023

Document Language:

Turkish

Document ID (Org No.):

2001282407

pISSN:

2146-538X