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All Journal Journal of Applied Geospatial Information
Irfan Zaki Irawan
Master Progam in Remote Sensing, Faculty of Geography, Universitas Gadjah Mada, Yogyakarta, Indonesia
Civil Engineering, Building, Construction & Architecture Earth & Planetary Sciences Engineering Environmental Science Physics

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Journal : Journal of Applied Geospatial Information

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The Compatibility Study of Sentinel 1 Multitemporal Analysis For River-Flood Detection, Study Case: Bogowonto River Muhammad Sufwandika Wijaya; Ulfa Aulia Syamsuri; Irfan Zaki Irawan; Prima Widayani; Projo Danoedoro; Sigit Heru Murti
Journal of Applied Geospatial Information Vol 7 No 2 (2023): Journal of Applied Geospatial Information (JAGI)
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jagi.v7i2.5365

Abstract

Flooding is a common natural disaster in Purworejo District, which can be caused by the overflowing of the Bogowonto River. The use of multitemporal analysis with Synthetic Aperture Radar (SAR) images, such as Sentinel-1, has the potential to aid in flood inundation detection for disaster mitigation in the area. However, there has not been any research examining the compatibility of flood inundation detection using multitemporal Sentinel-1 images with the flood susceptibility characteristics of the Bogowonto River. This study aims to evaluate this using a SWOT analysis. The results show that multitemporal analysis using Sentinel-1 images is not suitable for detecting flood inundation in the Bogowonto River due to difficulties in finding the right acquisition time at the time of the flood event. The duration of floods in the Bogowonto River is approximately 1-2 days, while the earliest reacquisition time for Sentinel-1 images for this study is 12 days. Additionally, Sentinel-1 images using band C have limitations in detecting floods under vegetation.
Co-Authors Muhammad Sufwandika Wijaya Prima Widayani Projo Danoedoro Santosa, Sigit Herumurti Budi Ulfa Aulia Syamsuri