Research Article

Temporal Dynamics of Lake Burdur's Water Surface Area: A Two-Decade Remote Sensing Analysis and Future Forecasts

Volume: 7 Number: 1 June 30, 2025
EN

Temporal Dynamics of Lake Burdur's Water Surface Area: A Two-Decade Remote Sensing Analysis and Future Forecasts

Abstract

Global warming, climate change, increasing population and industrialization cause spatial and temporal changes in surface water resources. Lake Burdur, located in Turkey’s Lakes Region, is a tectonic closed basin lake that has experienced significant reductions in water surface area and volume. In this study, the changes in the water surface area of Lake Burdur between 2003 and 2023 were analyzed using Google Earth Engine. Based on the obtained data the estimated water surface area values of Lake Burdur for years 2028 and 2033 were calculated. Within the scope of the study, Landsat 5 satellite images were used for the years 2003 and 2008, while Landsat 8 satellite images were utilized for the years 2013, 2018, 2023 and 2024. To calculate the water surface area values of Lake Burdur for the specified years, the Normalized Difference Water Index (NDWI) and the Automated Water Extraction Index for Shadow (AWEIsh) methods were utilized. In the study the data obtained from both methods on an annual basis were compared, and percentage difference values were calculated. Trend line functions were generated using the water surface area data obtained for the specified years to calculate future estimated values, and the accuracy of these functions was tested using the 2024 data. The findings after 2016 were also cross-verified and examined using Sentinel-2 data. The results indicate that the water surface area loss rate of Lake Burdur during the 20 year period between 2003 and 2023 was 22.82% according to the analysis conducted using NDWI, and this rate could increase to 34.56% by 2033. According to the analysis conducted using AWEIsh, the water surface area loss rate of the lake during the same period was calculated as 22.41% and it is estimated that this loss could reach 33.85% by 2033.

Keywords

Ethical Statement

The authors declare no conflict of interest.

References

  1. UNESCO. (2021). The United Nations world water development report 2021: Valuing water. United Nations Educational, Scientific and Cultural Organization. https://unesdoc.unesco.org/ark:/48223/pf0000375724
  2. Duran-Encalada, J. A., Paucar-Caceres, A., Bandala, E. R., & Wright, G. H. (2017). The impact of global climate change on water quantity and quality: A system dynamics approach to the US–Mexican transborder region. European Journal of Operational Research, 256(2), 567–581. https://doi.org/10.1016/j.ejor.2016.06.016
  3. Ahady, A. B., & Kaplan, G. (2022). Classification comparison of Landsat-8 and Sentinel-2 data in Google Earth Engine, study case of the city of Kabul. International Journal of Engineering and Geosciences, 7(1), 24 – 31. https://doi.org/10.26833/ijeg.860077
  4. Kanber, R., Baştuğ, R., Büyüktaş, D., Ünlü, M., & Kapur, B. (2010, January 11–15). Küresel iklim değişikliğinin su kaynakları ve tarımsal sulamaya etkileri. In TMMOB Ziraat Mühendisleri Odası (Ed.), Ziraat Mühendisliği VII. Teknik Kongresi: Bildiriler kitabı (pp. 83–118). Ankara, Turkey.
  5. Jiang, H., Feng, M., Zhu, Y., Lu, N., Huang, J., & Xiao, T. (2014). An Automated Method for Extracting Rivers and Lakes from Landsat Imagery. Remote Sensing, 6(6), 5067–5089. https://doi.org/10.3390/rs6065067
  6. Tang, H., Lu, S., Ali Baig, M. H., Li, M., Fang, C., & Wang, Y. (2022). Large-Scale Surface Water Mapping Based on Landsat and Sentinel-1 Images. Water, 14(9), 1454. https://doi.org/10.3390/w14091454
  7. Yağmur, N., Tanık, A., Tuzcu, A., Musaoğlu N., Erten E., & Bilgilioglu, B. (2020). Opportunities provided by remote sensing data for watershed management: example of Konya Closed Basin. International Journal of Engineering and Geosciences, 5(3), 120 – 129. https://doi.org/10.26833/ijeg.638669
  8. Gorelick, N., Hancher, M., Dixon, M., Ilyushchenko, S., Thau, D., & Moore, R. (2017). Google Earth Engine: Planetary-scale geospatial analysis for everyone. Remote Sensing of Environment, 202, 18–27. https://doi.org/10.1016/j.rse.2017.06.031 McFEETERS, S. K. (1996). The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features. International Journal of Remote Sensing, 17(7), 1425–1432. https://doi.org/10.1080/01431169608948714

Details

Primary Language

English

Subjects

Photogrammetry and Remote Sensing

Journal Section

Research Article

Early Pub Date

July 1, 2025

Publication Date

June 30, 2025

Submission Date

January 28, 2025

Acceptance Date

June 14, 2025

Published in Issue

Year 2025 Volume: 7 Number: 1

APA
Erdem, K. C., Bakırman, T., & Bayram, B. (2025). Temporal Dynamics of Lake Burdur’s Water Surface Area: A Two-Decade Remote Sensing Analysis and Future Forecasts. Mersin Photogrammetry Journal, 7(1), 22-28. https://doi.org/10.53093/mephoj.1628742
AMA
1.Erdem KC, Bakırman T, Bayram B. Temporal Dynamics of Lake Burdur’s Water Surface Area: A Two-Decade Remote Sensing Analysis and Future Forecasts. Mersin Photogrammetry Journal. 2025;7(1):22-28. doi:10.53093/mephoj.1628742
Chicago
Erdem, Kemal Can, Tolga Bakırman, and Bülent Bayram. 2025. “Temporal Dynamics of Lake Burdur’s Water Surface Area: A Two-Decade Remote Sensing Analysis and Future Forecasts”. Mersin Photogrammetry Journal 7 (1): 22-28. https://doi.org/10.53093/mephoj.1628742.
EndNote
Erdem KC, Bakırman T, Bayram B (June 1, 2025) Temporal Dynamics of Lake Burdur’s Water Surface Area: A Two-Decade Remote Sensing Analysis and Future Forecasts. Mersin Photogrammetry Journal 7 1 22–28.
IEEE
[1]K. C. Erdem, T. Bakırman, and B. Bayram, “Temporal Dynamics of Lake Burdur’s Water Surface Area: A Two-Decade Remote Sensing Analysis and Future Forecasts”, Mersin Photogrammetry Journal, vol. 7, no. 1, pp. 22–28, June 2025, doi: 10.53093/mephoj.1628742.
ISNAD
Erdem, Kemal Can - Bakırman, Tolga - Bayram, Bülent. “Temporal Dynamics of Lake Burdur’s Water Surface Area: A Two-Decade Remote Sensing Analysis and Future Forecasts”. Mersin Photogrammetry Journal 7/1 (June 1, 2025): 22-28. https://doi.org/10.53093/mephoj.1628742.
JAMA
1.Erdem KC, Bakırman T, Bayram B. Temporal Dynamics of Lake Burdur’s Water Surface Area: A Two-Decade Remote Sensing Analysis and Future Forecasts. Mersin Photogrammetry Journal. 2025;7:22–28.
MLA
Erdem, Kemal Can, et al. “Temporal Dynamics of Lake Burdur’s Water Surface Area: A Two-Decade Remote Sensing Analysis and Future Forecasts”. Mersin Photogrammetry Journal, vol. 7, no. 1, June 2025, pp. 22-28, doi:10.53093/mephoj.1628742.
Vancouver
1.Kemal Can Erdem, Tolga Bakırman, Bülent Bayram. Temporal Dynamics of Lake Burdur’s Water Surface Area: A Two-Decade Remote Sensing Analysis and Future Forecasts. Mersin Photogrammetry Journal. 2025 Jun. 1;7(1):22-8. doi:10.53093/mephoj.1628742