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Image of Analisis Variasi Spatio-Temporal Permukaan Air Di Sungai Kampar Menggunakan Metode Deep Learning Dengan Data Penginderaan Jauh Time-Series Dan Klimatologis
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Analisis Variasi Spatio-Temporal Permukaan Air Di Sungai Kampar Menggunakan Metode Deep Learning Dengan Data Penginderaan Jauh Time-Series Dan Klimatologis

Wahyu / 2103113577 - Nama Orang;

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.


Ketersediaan
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Perpustakaan Universitas Riau 2103113577
2103113577
Tersedia
Informasi Detail
Judul Seri
-
No. Panggil
2103113577
Penerbit
Pekanbaru : Universitas Riau FMIPA Sistem Informasi., 2025
Deskripsi Fisik
-
Bahasa
Indonesia
ISBN/ISSN
-
Klasifikasi
2103113577
Tipe Isi
-
Tipe Media
-
Tipe Pembawa
-
Edisi
-
Subjek
SISTEM INFORMASI
Info Detail Spesifik
-
Pernyataan Tanggungjawab
Mutia
Versi lain/terkait

Tidak tersedia versi lain

Lampiran Berkas
  • COVER
  • DAFTAR ISI
  • ABSTRAK
  • BAB I PENDAHULUAN
  • BAB II TINJAUAN PUSTAKA
  • BAB III METODE PENELITIAN
  • BAB IV HASIL DAN PEMBAHASAN
  • BAB V KESIMPULAN DAN SARAN
  • DAFTAR PUSTAKA
  • LAMPIRAN
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