Akademik Veri Yönetim Sistemi
3rd International Civil Engineering and Architecture Congress (ICEARC’23), Trabzon, Türkiye, 12 - 14 Ekim 2023, cilt.1, ss.540-546
Purpose: Continuous monitoring of the water quality of water bodies is essential for the suitability of water for consumption and the protection of aquatic life. Traditionally, continuous monitoring of water quality in lakes or dam reservoirs is costly and time-consuming; hence, cheaper and faster methods for water quality determination are now being searched, and studies on remote sensing have come to the forefront. This study establishes a model to estimate the turbidity parameter in the Cheney Reservoir, Kansas, USA, using Landsat 8 OLI images.
Study design/methodology/approach: The relationship between the reflectance values of Landsat 8 images and monitored turbidity data was analyzed by regression analysis. 99 Landsat 8 images were paired with in situ measurements with a time difference of less than 20 minutes, and the success of the established models was compared.
Findings: There is a high correlation (R = 0.782 to 0.910) between the reflectance values of Landsat 8 images and the water turbidity values in the Cheney Reservoir. The established models show that the turbidity parameter can be estimated using Landsat 8 images.
Originality/value: The time difference between the satellite images and the monitoring data is less than 20 minutes, which is quite good compared to the literature. The established models can estimate turbidity values in the Cheney Reservoir. Conducting in situ measurements that can be matched with more satellite images and using high-resolution satellite imagery will increase the accuracy of the models; however, it will increase the cost