Evaluating the Performance of Algorithms in Estimating the Chl-a Concentration of Lake Bafa

Elif KIRTILOĞLU; Hakan KARABÖRK

doi:https://doi.org/10.48053/turkgeo.1118373

Makale detayları

Evaluating the Performance of Algorithms in Estimating the Chl-a Concentration of Lake Bafa

Yazarlar:

Elif KIRTILOĞLU | Hakan KARABÖRK

Yayıncı:

Süleyman Sefa BİLGİLİOĞLU

Ana Başlıklar:

Doğa bilimleri

Dergi:

Turkish Journal of Geosciences 2022 Vol.3 Issue 1, pp.30-38

Belge Tipi:

Makale

Yayın Tarihi:

6/2022

Belge Dili:

İngilizce

Document ID (Org No.):

2000637411

Sıklık:

İki Yıllık

eISSN:

2717-7696

DOI:

https://doi.org/10.48053/turkgeo.1118373

Özet:

 

Monitoring and estimating pigment concentrations in water bodies have a critical role in early intervention or investigation of causes for prevention. Remote sensing data are the most effective alternative due to its advantages as effortless, requiring less labor, and displaying large areas in a single frame. Analyzing and estimating Chlorophyll-a (Chl-a) concentrations constitute the most important research topics in water bodies because all phytoplankton contain Chl-a. In this study, we evaluated the performance of algorithms in estimating the Chl-a concentration of Lake Bafa based on Sentinel 2 bands which are simulated from in-situ reflectance data. We used 1/R665xR705, 1/R665-1/R705, (1/R665-1/R705) x R740, R705/(R560+R665), so called M09, G09-2B, G09-3B, K07, respectively and Normalized Difference Chlorophyll Index (NDCI) algorithms for evaluation. Water samples and in-situ measurements were collected and obtained in two field campaigns. Bands of Sentinel 2 were then simulated from in-situ reflectance data and used to calibrate and validate models for Chl-a estimation. R² values of 0.679, 0.749, 0.395, 0.726, and RMSE values of 0.7 and 1.882, 1.663, 1.737, and 1.818 μg/L have been obtained for M09, G09-2B, G09-3B, K07, and NDCI algorithms, respectively. Sentinel 2 images have been used for map validation. Our results show that M09 and NDCI algorithms performed better in estimating Chl-a compared to the other three algorithms for our data range at Lake Bafa.

Makale detayları

Evaluating the Performance of Algorithms in Estimating the Chl-a Concentration of Lake Bafa

Yazarlar: Elif KIRTILOĞLU | Hakan KARABÖRK

Yayıncı: Süleyman Sefa BİLGİLİOĞLU

Ana Başlıklar: Doğa bilimleri

Dergi: Turkish Journal of Geosciences 2022 Vol.3 Issue 1, pp.30-38

Belge Tipi: Makale

Yayın Tarihi: 6/2022

Belge Dili: İngilizce

Document ID (Org No.): 2000637411

Sıklık: İki Yıllık

eISSN: 2717-7696

DOI: https://doi.org/10.48053/turkgeo.1118373

Sayı

Yazarlar:

Elif KIRTILOĞLU | Hakan KARABÖRK

Yayıncı:

Süleyman Sefa BİLGİLİOĞLU

Ana Başlıklar:

Doğa bilimleri

Dergi:

Turkish Journal of Geosciences 2022 Vol.3 Issue 1, pp.30-38

Belge Tipi:

Makale

Yayın Tarihi:

6/2022

Belge Dili:

İngilizce

Document ID (Org No.):

2000637411

Sıklık:

İki Yıllık

eISSN:

2717-7696

DOI:

https://doi.org/10.48053/turkgeo.1118373