Karmaşık Jeoloji ve Topografyaya Sahip Alanlarda Sentinel-2A Uydu Görüntülerinin Performansı Üzerine Bir Örnek Çalışma: Koyulhisar (Sivas-Türkiye)

Year 2022, Issue: 34, 387 - 395, 31.03.2022

Ayşe Betül Çalışkan , Oktay Canbaz , Önder Gürsoy

https://doi.org/10.31590/ejosat.1082487

Abstract

Bu çalışma, Sentinel 2A multispektral uydu görüntüsü kullanılarak jeolojik özelliklerin ortaya çıkarılmasına yönelik gerçekleştirilmiştir. Sivas ili Koyulhisar ilçesi sınırları içerisinde kalan çalışma alanında sedimanter ve volkanik kayaçlar yüzeylemektedir. Ayrıca, çalışma alanı, Türkiye’nin en önemli aktif fay zonlarından bir tanesi olan Kuzey Anadolu Fay Zonu (NAFZ) üzerinde konumlanmaktadır. Sarp ve engebeli topografyaya sahip olan bu alanda heyelan riski taşıyan birçok alan mevcuttur. Bu nedenle, çalışma alanının jeolojik özelliklerinin ortaya çıkarılması oldukça önemlidir. Bu çalışmada, bant oranlama, minimum gürültü fraksiyonu (MNF) ve maksimum olabilirlik sınıflandırması (MLC) gibi uzaktan algılama teknikleri kullanılmıştır. Elde edilen sonuçlarda, mevcut jeolojik harita içerisinde formasyon ve birim sınırlarının gözden geçirilmesi ve yeniden çizilmesini gerektirecek sonuçlar elde edilmiştir.

Keywords

Bant Oranlama, Minimum Gürültü Fraksiyonu, Maksimum Olabilirlik, Spektral Sınıflandırma

Supporting Institution

Sivas Cumhuriyet Üniversitesi Bilimsel Araştırma ve Projeler Birimi

Project Number

M-722

Thanks

Bu araştırma Sivas Cumhuriyet Üniversitesi Bilimsel Araştırma ve Projeler birimi tarafından M-722 nolu proje olarak desteklenmiştir.

A Case Study on the Performance of Sentinel-2A Satellite Images in Areas with Complex Geology and Topography: Koyulhisar (Sivas-Turkey)

Abstract

This study was carried out to reveal geological characteristics using Sentinel-2A multispectral satellite image. Sedimentary and volcanic rocks crop out in the study area within the borders of the Koyulhisar town of Sivas province. In addition, the study area is located on the North Anatolian Fault Zone (NAFZ), one of the most important active fault zones in Turkey. There are many areas with landslide risk in this area, which has a steep and rugged topography. For this reason, it is very important to reveal the geological features of the study area. In the study, remote sensing techniques such as band ratio, minimum noise fraction (MNF) and maximum likelihood classification (MLC) were used. The results were obtained that would require the geological formations and unit boundaries to be reviewed and redrawn within the existing geological map.

Keywords

Band Ratio, Minimum Noise Fraction, Maximum Likelihood, Spectral Classification

Project Number

M-722

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