Remote Sensing-Based Evaluation of Lake Area Dynamics: A Quantitative Assessment for Environmental Management in Turkey

Shahryar Ghorbani; Dragan Pamucar

doi:10.31181/sor31202653

Authors

Shahryar Ghorbani 1) Department of Industrial Engineering, University of Tabriz, Tabriz, Iran; 2) Department of Production Management, University of Sakarya, Sakarya 54050, Turkey Author https://orcid.org/0000-0001-6085-1788
Dragan Pamucar 1) Department of Industrial Engineering & Management, Yuan Ze University, Taoyuan City, Taiwan; 2) Department of Applied Mathematical Science, College of Science and Technology, Korea University, Sejong 30019, Republic of Korea; 3) Széchenyi István University, Győr, Hungary; 4) School of Engineering and Technology, Sunway University, Selangor, Malaysia Author https://orcid.org/0000-0002-5084-0871

DOI:

https://doi.org/10.31181/sor31202653

Keywords:

Lake, Satellite Image, Remote Sensing Data, Model

Abstract

This research employs remote sensing techniques and advanced image processing algorithms to analyze lake level changes. The study focuses on two major lakes in Turkey, Burdur and Salda, using satellite imagery from 2000 to 2024. The primary objective is to investigate spatial and temporal surface area changes over a one-year period. A key step in the process involves identifying water pixels in infrared band images through binarization and image processing, enabling accurate measurements of lake sizes and shapes. The results were evaluated using three criteria: R², RMSE, and MAPE. Findings showed that Burdur Lake experienced a 1.47% decrease, while Salda Lake had a smaller decline of 0.307% in 2024, attributed to drought and water resource availability.

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