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All Journal Journal of Civil Engineering
Hafizhah Ashilah
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Civil Engineering, Building, Construction & Architecture Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Transportation

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Enhancing Flood Detection in Surabaya: A Comparative Study of VV and VH Polarizations with Sentinel-1 Data Hafizhah Ashilah; Umboro Lasminto
Journal of Civil Engineering Vol. 40 No. 1 (2025)
Publisher : Institut Teknologi Sepuluh Nopember (ITS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j20861206.v40i1.7272

Abstract

Flood mapping is critical to strengthen urban resilience, particularly in Surabaya,where flooding is a major and recurring threat. Sentinel-1 satellite data offerssignificant advantages for flood model calibration due to its high-resolution imageryand frequent revisits. This study utilizes Google Earth Engine to process and analyseSentinel-1 data for mapping flood extents using two different polarizations: VV andVH. The research compares the capabilities of these polarizations in detecting floodareas. The results show that VV polarization consistently identifies a larger flood areacompared to VH polarization under similar processing conditions. However, theKappa coefficient was used to assess classification accuracy, with VV achieving aKappa of 0.8 and VH reaching a higher Kappa of 0.92, reflecting better classificationperformance. These findings suggest that while VV provides a broader flooddetection, VH offers more reliable flood mapping, highlighting the trade-offs betweensensitivity and accuracy in flood monitoring using Sentinel-1 satellite.
Co-Authors Umboro Lasminto