Quantifying Water Bodies with Sentinel-2 Imagery and NDWI: A Remote Sensing Approach
Аннотация
This paper presents a comparative analysis of surface water dynamics using Sentinel-2 satellite imagery and the Normalized Difference Water Index (NDWI) obtained through the Google Earth Engine (GEE) platform. The study focuses on assessing changes in surface water area and water ratio in the area between the winter and summer seasons of 2017 and 2023. Our results indicate a notable fluctuation in water area over the study period, with the reservoir exhibiting varying extents of surface water coverage across different seasons and years. Specifically, in the summer of 2023, the water area was measured at 14.35 km 2 , compared to 14.98 km 2 in 2017. Conversely, during the winter months, the water area decreased to 12.54 km 2 in 2023, while it was 14.68 km 2 in 2017. The findings suggest a shift in surface water dynamics over time, potentially influenced by climatic and environmental factors. Furthermore, the study highlights the efficiency of utilizing GEE and remote sensing techniques for surface water mapping and monitoring. Remote sensing provides a cost-effective and reliable means of monitoring surface water resources, enabling timely assessments and informed decision-making for water resource management and conservation efforts. This research underscores the importance of leveraging remote sensing technologies for effective resource management and environmental stewardship in the face of changing climatic conditions.