Determination of Secchi disc depths in Lake Eymir using remotely sensed data

Date

2010-06-05

Author

Yüzügüllü, Onur
Aksoy, Ayşegül

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In this study Secchi disk depths (SDD) are determined in an eutrophic Eymir Lake in Ankara using the multi-spectral image obtained from the Quickbird satellite. For this purpose, empirical models given in literature and artificial neural networks (ANN) are used. SDDs at 17 sampling points in Eymir Lake are measured via field studies. In the satellite image, pixel values at the sampling points are determined using ERDAS Imagine. Results indicate very low correlations between the SDD values calculated using the empirical models and the ones measured in-situ. Correlation of determination values (R2) up to 0.92 are achieved when ANN modeling is applied. In ANN models developed, Levenberg-Marquardt (LM) and gradient decent algorithm (GDA) are the training algorithms that provided the best results. This study indicates that ANN is an important tool in obtaining information from the remotely sensed data.

Subject Keywords

Lake Eymir, Remote sensing, Artificial neural networks, Secchi disc depth

URI

https://hdl.handle.net/11511/82210
https://www.sciencedirect.com/science/article/pii/S1877042811012882

DOI

https://doi.org/10.1016/j.sbspro.2011.05.173

Conference Name

GEOMED 2010, (2 - 05 Haziran 2010),

Collections

Department of Environmental Engineering, Conference / Seminar

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Citation Formats

O. Yüzügüllü and A. Aksoy, “Determination of Secchi disc depths in Lake Eymir using remotely sensed data,” presented at the GEOMED 2010, (2 - 05 Haziran 2010), Kemer, Türkiye, 2010, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/82210.