Tracking Seasonal Coastal Dynamics of Akyatan Wetland with Landsat 8 image using Object-Based Classification and Regression Tree

In recent years, the management of water and wetlands has become increasingly important. Akyatan Wetland is a natural lake formed by the Ceyhan River, located to the 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 Akyatan wetland in 2016. Landsat 8 images from four different seasons of 2016 were utilized to identify these changes. The study areas were classified into six categories: lake, sea, cultivated agricultural land, soil, 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, followed by an increase from spring to summer and summer to autumn in 2016. This fluctuation was attributed to groundwater, river water, and melting snow.

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Publication Details

Journal
Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi
Published
2024-12-24
DOI
https://doi.org/10.28948/ngumuh.1559034
Primary Topic
Land Use and Ecosystem Services
Type
article
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article

Tracking Seasonal Coastal Dynamics of Akyatan Wetland with Landsat 8 image using Object-Based Classification and Regression Tree

Tolga Kaynak, Mustafa Hayri Kesikoğlu
Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi
Land Use and Ecosystem Services
article

Tracking Seasonal Coastal Dynamics of Akyatan Wetland with Landsat 8 image using Object-Based Classification and Regression Tree

Tolga Kaynak, Mustafa Hayri Kesikoğlu
article en

Abstract

In recent years, the management of water and wetlands has become increasingly important. Akyatan Wetland is a natural lake formed by the Ceyhan River, located to the 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 Akyatan wetland in 2016. Landsat 8 images from four different seasons of 2016 were utilized to identify these changes. The study areas were classified into six categories: lake, sea, cultivated agricultural land, soil, 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, followed by an increase from spring to summer and summer to autumn in 2016. This fluctuation was attributed to groundwater, river water, and melting snow.

Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi
Usak University (TR)
Life below water
Openalex Percentile: Top 79%
Land Use and Ecosystem Services
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Tracking Seasonal Coastal Dynamics of Akyatan Wetland with Landsat 8 image using Object-Based Classification and Regression Tree — Tolga Kaynak, Mustafa Hayri Kesikoğlu · Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi (2024) | TGRS Research Map | TGRS