A method for qualitatively mapping the flood physical vulnerability of residential areas

To-Uyen Thi Doan; Ariyo Kanno; Koichi Yamamoto; Tsuyoshi Imai; Takaya Higuchi; Masahiko Sekine

doi:10.15625/2525-2518/58/5/14670

Author affiliations

Authors

To-Uyen Thi Doan Ho Chi Minh City University of Natural Resources and Environment, 236B Le Van Sy street, Tan Binh district, Ho Chi Minh city, Viet Nam
Ariyo Kanno Graduate School of Sciences and Technology for Innovation, Yamaguchi University, 2-16-1 Tokiwadai, Yamaguchi 755-8611, Japan
Koichi Yamamoto Graduate School of Sciences and Technology for Innovation, Yamaguchi University, 2-16-1 Tokiwadai, Yamaguchi 755-8611, Japan
Tsuyoshi Imai Graduate School of Sciences and Technology for Innovation, Yamaguchi University, 2-16-1 Tokiwadai, Yamaguchi 755-8611, Japan
Takaya Higuchi Graduate School of Sciences and Technology for Innovation, Yamaguchi University, 2-16-1 Tokiwadai, Yamaguchi 755-8611, Japan
Masahiko Sekine Graduate School of Sciences and Technology for Innovation, Yamaguchi University, 2-16-1 Tokiwadai, Yamaguchi 755-8611, Japan

DOI:

https://doi.org/10.15625/2525-2518/58/5/14670

Keywords:

qualitative evaluation, physical vulnerability, residential areas, multispectral classification, textural features, flood mapping, multi-temporal radar.

Abstract

Mapping flood physical vulnerability is spatially limited because it requires input data such as building structures and materials, which are unavailable on large spatial scales. In this study, we propose a new method for qualitatively evaluating the flood vulnerability of residential areas in the context of the exposure and resilience to flood hazard on large spatial scales. This method utilizes the possible correlations between the structural physical vulnerability and residential types obtained from the statistical classifications of multispectral satellite images. Because multispectral classification is well-established as an inexpensive technique for automatically classifying land cover types over wide areas, our method is feasible and efficient for mapping the physical vulnerability of residential areas. As a case study, we present an application of the proposed approach to the Thach Ha district, Ha Tinh province, Vietnam, using the Japanese type 2 Advanced Visible and Near Infrared Radiometer (AVNIR-2) images and Phased Array type L-band Synthetic Aperture Radar (PALSAR) images captured by the Advanced Earth Observing Satellite (ADEOS).

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