Tracking seasonal coastal dynamics of Ağyatan wetland using object-based Classification and Regression Tree

Mustafa Hayri Kesikoğlu; Tolga Kaynak

Article Details

Tracking seasonal coastal dynamics of Ağyatan wetland using object-based Classification and Regression Tree

Authors:

Mustafa Hayri Kesikoğlu | Tolga Kaynak

Publisher:

Nigde Omer Halisdemir University

Main Topics:

Fotogrametri ve Uzaktan Algılama

Journal:

Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi Vol.14 Issue 1, pp.308-317

Document Type:

Article

Publication Date:

1/2025

Document Language:

English

Document ID (Org No.):

2001339050

pISSN:

2564-6605

Keywords:

Abstract:

 In recent years, the management of water and wetlands has become increasingly important. Ağyatan Wetland is a natural lake formed by the Ceyhan River, located west of the river. The area around the wetland is home to various sea and land creatures, as well as endemic plants and endangered birds. This study aimed to analyze the seasonal changes occurring in the Ağyatan wetland in 2016. Landsat 8 images from four seasons of 2016 were utilized to identify these changes. The study areas were classified into six categories: lake, sea, cultivated agricultural land, barren land, building area, and water channel. Thematic maps for the four seasons were generated using the object-based Classification and Regression Tree CART method. Additionally, change detection analyses were conducted using the post-classification comparison method. The study revealed a decrease in the lake area from winter to spring 0.8919, followed by an increase from spring to summer 0.3627 and summer to autumn 0.1953 in 2016. This fluctuation was attributed to groundwater, river water, and melting snow.

 In recent years, the management of water and wetlands has become increasingly important. Ağyatan Wetland is a natural lake formed by the Ceyhan River, located west of the river. The area around the wetland is home to various sea and land creatures, as well as endemic plants and endangered birds. This study aimed to analyze the seasonal changes occurring in the Ağyatan wetland in 2016. Landsat 8 images from four seasons of 2016 were utilized to identify these changes. The study areas were classified into six categories: lake, sea, cultivated agricultural land, barren land, building area, and water channel. Thematic maps for the four seasons were generated using the object-based Classification and Regression Tree CART method. Additionally, change detection analyses were conducted using the post-classification comparison method. The study revealed a decrease in the lake area from winter to spring 0.8919, followed by an increase from spring to summer 0.3627 and summer to autumn 0.1953 in 2016. This fluctuation was attributed to groundwater, river water, and melting snow.

 In recent years, the management of water and wetlands has become increasingly important. Ağyatan Wetland is a natural lake formed by the Ceyhan River, located west of the river. The area around the wetland is home to various sea and land creatures, as well as endemic plants and endangered birds. This study aimed to analyze the seasonal changes occurring in the Ağyatan wetland in 2016. Landsat 8 images from four seasons of 2016 were utilized to identify these changes. The study areas were classified into six categories: lake, sea, cultivated agricultural land, barren land, building area, and water channel. Thematic maps for the four seasons were generated using the object-based Classification and Regression Tree CART method. Additionally, change detection analyses were conducted using the post-classification comparison method. The study revealed a decrease in the lake area from winter to spring 0.8919, followed by an increase from spring to summer 0.3627 and summer to autumn 0.1953 in 2016. This fluctuation was attributed to groundwater, river water, and melting snow.

 Son yıllarda su ve sulak alanların yönetimi giderek önem kazanmıştır. Ağyatan Sulak Alanı, Ceyhan Nehrinin batısında yer alan doğal bir göldür. Sulak alan çevresi çeşitli deniz ve kara canlılarına, endemik bitkilere ve nesli tükenmekte olan kuşlara ev sahipliği yapmaktadır. Bu çalışmada, 2016 yılında Ağyatan Sulak Alanında meydana gelen mevsimsel değişimlerin analizi amaçlanmıştır. Bu değişimlerin belirlenmesi için 2016 yılının dört farklı mevsimine ait Landsat 8 görüntüleri kullanılmıştır. Çalışma alanları göl, deniz, ekili tarım arazisi, çıplak alan, yapı alanı ve su kanalı olmak üzere altı kategoriye ayrılmıştır. Dört mevsime ait tematik haritalar, nesne tabanlı Sınıflandırma ve Regresyon Ağacı CART yöntemi kullanılarak üretilmiştir. Ayrıca, sınıflandırma sonrası karşılaştırma yöntemi kullanılarak değişim tespiti analizleri yapılmıştır. Çalışmada, 2016 yılında göl alanında kıştan ilkbahara doğru 0.8919 bir azalma, ardından ilkbahardan yaza 0.3627 ve yazdan sonbahara 0.1953 doğru bir artış olduğu ortaya konulmuştur. Bu dalgalanmanın yeraltı suyuna, nehir suyuna ve eriyen karlara bağlandığı belirtilmiştir.

Article Details

Tracking seasonal coastal dynamics of Ağyatan wetland using object-based Classification and Regression Tree

Authors:

Mustafa Hayri Kesikoğlu | Tolga Kaynak

Publisher:

Nigde Omer Halisdemir University

Main Topics:

Fotogrametri ve Uzaktan Algılama

Journal:

Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi Vol.14 Issue 1, pp.308-317

Document Type:

Article

Publication Date:

1/2025

Document Language:

English

Document ID (Org No.):

2001339050

pISSN:

2564-6605

Change detection

object-based classification

CART

wetland

Landsat 8

satellite imageDeğişim belirleme

nesne tabanlı sınıflandırma

CART

sulak alan

Landsat 8

uydu görüntüsü

Issues

Article Details

Authors: Mustafa Hayri Kesikoğlu | Tolga Kaynak

Publisher: Nigde Omer Halisdemir University

Main Topics: Fotogrametri ve Uzaktan Algılama

Journal: Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi Vol.14 Issue 1, pp.308-317

Document Type: Article

Publication Date: 1/2025

Document Language: English

Document ID (Org No.): 2001339050

pISSN: 2564-6605

Issues

Authors:

Mustafa Hayri Kesikoğlu | Tolga Kaynak

Publisher:

Nigde Omer Halisdemir University

Main Topics:

Fotogrametri ve Uzaktan Algılama

Journal:

Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi Vol.14 Issue 1, pp.308-317

Document Type:

Article

Publication Date:

1/2025

Document Language:

English

Document ID (Org No.):

2001339050

pISSN:

2564-6605