Abstract

Flood damage area detection method by means of coherency derived from interferometric SAR analysis with Sentinel-A SAR is proposed. One of the key issues for flooding area detection is to estimate it as soon as possible. The flooding area due to heavy rain, typhoon, severe storm, however, is usually covered with clouds. Therefore, it is not easy to detect with optical imagers onboard remote sensing satellite. On the other hand, Synthetic Aperture Radar: SAR onboard remote sensing satellites allows to observe the flooding area even if it is cloudy and rainy weather conditions. Usually, flooding area shows relatively small back scattering cross section due to the fact that return signal from the water surface is quite small because of dielectric loss. It, however, is not clear enough of the flooding area detected by using return signal of SAR data from the water surface. The proposed method uses coherency derived from interferometric SAR analysis. Through experiment, it is found that the proposed method is useful to detect the flooding area clearly.

Highlights

  • One of the key issues for flooding area detection is to estimate it as soon as possible

  • It is not easy to detect with optical imagers onboard remote sensing satellite

  • It is found that the proposed method is useful to detect the flooding area clearly

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Summary

INTRODUCTION

One of the key issues for flooding area detection is to estimate it as soon as possible. Polarimetric SAR image classification with maximum curvature of the trajectory in eigen space domain on the polarization signature is attempted [5]. Wavelet Multi-Resolution Analysis: MRA and its application to polarimetric SAR classification is proposed and validated [6]. Polarimetric SAR image classification with maximum curvature of the trajectory in eigen space domain on the polarization signature is proposed [8]. Polarimetric SAR image classification with high frequency component derived from wavelet multi resolution analysis: MRA is proposed and validated [9]. Sentinel 1A SAR data analysis for disaster mitigation in Kyushu is conducted and reported [12], Wavelet Multi-Resolution Analysis: MRA and its application to polarimetric SAR classification is proposed [13].

Typhoon No 18 in 2017
Intensive Study Areas
Rainfall Rate and Wind Direction as well as Wind Speed
Interferometric SAR
Proposed Method
Data used
Coherence Image
Major Result
FUTURE RESEARCH WORKS
Findings
CONCLUSION
Full Text
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