CD Skripsi
Analisis Variasi Spatio-Temporal Permukaan Air Di Sungai Kampar Menggunakan Metode Deep Learning Dengan Data Penginderaan Jauh Time-Series Dan Klimatologis
Land use changes and climate impacts have a direct effect on surface water dynamics in the Kampar River Basin. This study aims to analyse hydrological changes in the Kampar River Basin using a segmentation and spatiotemporal analysis approach. The methods employed include water surface segmentation using a DC-UNet model based on Sentinel-1 imagery, and spatiotemporal analysis conducted seasonally (JFM, AMJ, JAS, OND) and annually (2015–2024). The DC-UNet model demonstrated high performance with a test accuracy of 99.17%, an F1-score of 91.41%, and a Dice coefficient of 91.57%. Spatio-temporal analysis was divided into four regions based on geographical location and hydrological characteristics. Seasonal spatio-temporal analysis results showed that water dynamics in the upstream area influenced flooding in the middle to downstream areas. During the rainy season, water release from upstream reservoirs increased flooding in the downstream area, while during the dry season, reservoirs retained flow, reducing runoff to the downstream area. Annually, water surface distribution is highly dynamic with inter-regional variations. The upstream region is relatively stable with high-frequency permanent water bodies, while the left Kampar River region shows a strong response to annual rainfall, resulting in extensive flooding during wet years. The middle to downstream areas are more influenced by local conditions such as topography, land cover, and runoff flow. As a follow-up, it is recommended to analyse the correlation between climatic and anthropogenic factors to comprehensively understand the dynamics of water distribution in the Kampar River Basin.
Keywords: DC-UNet, Kampar Watershed, Sentinel-1, Spatio-temporal, Surface Water Segmentation.
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