Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal Journal of Civil Engineering
Ashilah, Hafizhah
Institut Teknologi Sepuluh Nopember

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

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

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j20861206.v40i1.22329

Abstract

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