Haridarma, Made Diwan (2022) Identifikasi Daerah Sebaran Genangan Banjir Menggunakan Data Sar (Synthetic Aperture Radar) Sentinel-1 (Studi Kasus: Kabupaten Katingan, Provinsi Kalimantan Tengah). Other thesis, Institut Teknologi Sepuluh Nopember.
![[thumbnail of 03311640000088-Undergraduate_Thesis.pdf]](http://repository.its.ac.id/style/images/fileicons/text.png) |
Text
03311640000088-Undergraduate_Thesis.pdf Restricted to Repository staff only Download (12MB) |
Abstract
Banjir umumnya disebabkan oleh tingginya intensitas dan curah hujan yang mengakibatkan meluapnya badan air permanen atau drainase karena jumlah air yang melebihi daya tampung media penopang air tersebut. Pada bulan Agustus dan September 2021 terdapat pengingkatan intensitas dan curah hujan yang mengakibatkan meluapnya Sungai Katingan sehingga terjadi rentetan bencana banjir di Kabupaten Katingan. Untuk mengidentifikasi adanya sebaran banjir dapat menggunakan teknologi penginderaan jauh, yaitu data SAR (Synthetic Aperture Radar) Sentinel-1. Penelitian ini bertujuan untuk mengidentifikasi daerah sebaran genangan banjir serta pemantauan perubahan sebaran banjir pada tahun 2021 di Kabupaten Katingan dengan menganalisis citra Sentinel-1 polarisasi VH dan VV sebelum terjadi banjir (archive image) dan saat terjadi banjir (crisis image). Dari hasil pengolahan, citra Sentinel-1 polarisasi VH menampilkan pembedaan daerah daratan, badan air permanen, dan identifikasi daerah sebaran genangan banjir lebih baik dibandingkan polarisasi VV. Secara visual dapat diamati adanya perubahan sebaran banjir pada area penelitian, dimana citra tanggal 29 Agustus, 10 September, 4 Oktober, 9 November, dan 21 November 2021 menampilkan sebaran banjir yang lebih luas dibandingkan citra tanggal 22 September, 16 Oktober, dan 28 Oktober 2021. Validasi antara hasil pengolahan daerah sebaran banjir dengan data Pusdalops BNPB mendapatkan kesesuaian informasi waktu dan lokasi kejadian banjir pada 3 dari 8 citra (akuisisi tanggal 10 September, 9 November dan 21 November 2021).
===================================================================================================================================
Floods are generally caused by high intensity and rainfall which results in overflow of permanent water bodies or drainage due to the amount of water that exceeds the capacity of the water supporting media. In August and September 2021 there was an increase in the intensity and rainfall which resulted in the overflow of the Katingan River resulting in a series of floods in Katingan Regency. To identify the flood distribution, remote sensing technology can be used, namely Sentinel-1 SAR (Synthetic Aperture Radar) data. This study aims to identify the distribution area of flood inundation and to monitor changes in flood distribution in 2021 in Katingan Regency by analyzing Sentinel-1 images of VH and VV polarization before a flood occurs (archive image) and during a flood (crisis image). From the processing results, the Sentinel-1 image with VH polarization displays land area distinctions, permanent water bodies, and identification of flood inundation distribution areas better than VV polarization. Visually, it can be observed that there is a change in the distribution of floods in the research area, where the images on August 29, September 10, October 4, November 9, and November 21, 2021, show a wider flood distribution than the images on September 22, October 16, and October 28, 2021. The validation between the results of processing the flood distribution area and the data from the Pusdalops BNPB obtains matching information about the time and location of flood events in 3 of 8 images (acquisitions on September 10, November 9 and November 21, 2021).
| Item Type: | Thesis (Other) |
|---|---|
| Additional Information: | RSG 522.3 Har i-1 2022 |
| Uncontrolled Keywords: | Sebaran Banjir, Kabupaten Katingan, Identifikasi, Pemantauan, Sentinel-1. Flood Distribution, Katingan Regency, Identification, Monitoring, Sentinel-1. |
| Subjects: | Q Science > QC Physics > QC411 Interferometry. |
| Divisions: | Faculty of Civil, Planning, and Geo Engineering (CIVPLAN) > Geomatics Engineering > 29202-(S1) Undergraduate Thesis |
| Depositing User: | Mr. Marsudiyana - |
| Date Deposited: | 18 May 2026 07:04 |
| Last Modified: | 18 May 2026 07:04 |
| URI: | http://repository.its.ac.id/id/eprint/133224 |
Actions (login required)
 |
View Item |