Abstract：
Monitoring the water levels and volume changes of lakes and reservoirs enables us to understand the importance of better protection and managing water resources in an ecologically optimum manner. Although some lakes, such as Burdur Lake, are not a source of drinking water, they are home to many endangered animals, endemic plants, and some species. Therefore, monitoring the changes in these lakes over time is important for various reasons. While water level measurement stations in lakes and wetlands provide important information, it may not always be possible to obtain this data. In this study, we investigated the long-term changes in Burdur Lake, a Ramsar site, by integrating the Digital Elevation Model (DEM) obtained by the unmanned aerial vehicle (UAV) with shoreline information obtained from the Landsat mission. This study aimed to investigate the usability, advantages, and disadvantages of the UAV-Landsat integration for volume calculation. As a result, we successfully determined the water level as r= 0.999 and the cumulative volume loss at a rate of 97.5%. Burdur Lake experienced a significant reduction in its area decreasing from 206 to 120 km2 (42%) between 1984 and 2022. Furthermore, the water volume of the lake decreased by 2.70 km3 over a span of 38 years. This study demonstrates the potential and limitations of the presented UAV-remote sensing integration. Our proposed method is beneficial for determining short and long-term water levels and volumetric changes with high accuracy.
摘要：
监测湖泊和水库的水位和水量变化使我们能够了解以生态最佳方式更好地保护和管理水资源的重要性。虽然有些湖泊,比如伯杜尔湖，不是饮用水的来源，他们是许多濒危动物的家园，特有植物,一些物种。因此,由于各种原因，监测这些湖泊随时间的变化非常重要。虽然湖泊和湿地的水位测量站提供了重要信息，它可能不总是可能获得这些数据。在这项研究中,我们调查了Burdur湖的长期变化,拉姆萨尔遗址,通过将无人机（UAV）获得的数字高程模型（DEM）与从Landsat任务获得的海岸线信息集成在一起。本研究旨在调查可用性，优势,以及无人机-Landsat集成在体积计算中的缺点。因此,我们成功确定水位为r=0.999，累积体积损失率为97.5％。在1984年至2022年之间，Burdur湖的面积显着减少，从206平方公里减少到120平方公里（42％）。此外，在38年的时间里，湖泊的水量减少了2.70km3。这项研究证明了所提出的无人机-遥感集成的潜力和局限性。我们提出的方法有利于高精度确定短期和长期水位和体积变化。
