Uydu görüntüleri kullanılarak kıyı şeridi değişimi analizi ve gelecekteki konumunun belirlenmesi için etkili bir yaklaşım: Burdur Gölü örneği

Year 2024, , 61 - 72, 15.03.2024

Nuray Baş

https://doi.org/10.17714/gumusfenbil.1259676

Cited By: 1

Abstract

Göl kıyı şeridi değişikliklerinin sulak alanın biyolojik çeşitliliği ve ekosistemleri üzerinde önemli etkileri bulunmaktadır. Bu çalışma, Türkiye'deki Burdur Gölü'nün 2013-2023 yılları arasındaki kıyı değişiminin belirlenmesi amaçlamıştır. Bu çerçevede Landsat-7 (TM) ve Landsat 8(OLI) görüntüleri ile hem uzaktan algılama tabanlı yaklaşım hem de Sayısal Kıyı Şeridi Analiz Sistemi (DSAS) yöntemi kullanılmıştır. Kıyı bölgesi boyunca kıyı şeridi değişim oranlarını tahmin etmek için Son Nokta Oranı (EPR), Doğrusal Regresyon Hızı (LRR) ve Net Kıyı Şeridi Mesafesi (NSM) gibi istatistiksel parametreler hesaplanılmıştır. Göl ile kıyı bölgesi arasındaki ayrımı vurgulamak için ise, Normalleştirilmiş Fark Bitki Örtüsü İndeksi (NDVI) ve Tasseled Cap Analizi adlı hibrit bir algoritma kullanılmıştır. En fazla kıyı şeridi değişikliği gölün kuzeydoğu kesiminde gözlenmiş olup, 2013-2023 dönemi için EPR değeri 543,12 m/yıl, LRR değeri ise 610,07 m/yıl olarak sonuçlanmıştır. Göl-kara yönünde meydana gelen değişim EPR -4,91 m/yıl ve LRR -3,17 m/yıl olarak yalnızca küçük bir miktarda gözlemlenmiştir. Göl alanı ise, 2013-2023 yılları arasında 139 km2'den 118 km2'ye kadar düşmüştür. Elde edilen sonuçlar, eğer otoritelerce önlem alınmazsa göl alanının 2033 yılına kadar %14, 2043 yılına kadar ise %27 oranında kayıp yaşayacağını göstermektedir.

Keywords

Burdur Gölü, Nsm-Epr-Lrr istatistikleri, Kıyı değişimi, Tasseled cap

An effective approach for analysis of shoreline change and determination of its future location using satellite imagery: A case study of the Lake Burdur, Turkey

Abstract

Lake shoreline changes can have a significant impact on the biodiversity and ecosystems of wetland. This study was aimed to calculate the coastal change of Lake Burdur in Turkey during the elapsed period from 2013 to 2023. Within this framework both remote sensing based aproach and Digital Shoreline Analysis System (DSAS) was performed using Landsat-7 (TM) and Landsat-8 (OLI) images. To estimate shoreline change rates along the coastal zone, statistical parameters such as End Point Rate (EPR), Linear Regression Rate (LRR), and Net Shoreline Movement (NSM) were calculated. A hybrid algorithm, Normalized Difference Vegetation Index (NDVI) and Tasseled Cap Analysis, is utilized to emphasize the distinction between the lake bodies and coastal zone. The maximum shoreline change in the northeast part of the lake was observed, and it resulted in a change of 543.12 m/yr for EPR and 610.07 m/yr for LRR statistics in the 2013-2023 time period. The lake to land position has only been observed in a small amount which are resulted in for EPR -4.91 m/yr. and -3.17 m/yr for LRR statistics. The lake area decreased from 139 km2 to 118 km2 between 2013 and 2023. The results indicate that if the decision-maker does not measure, the area of the lake will be lost by 14% until 2033 and 27% until 2043.

Keywords

Lake Burdur, Nsm-Epr-Lrr statistics, Shoreline change, Tasseled cap

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