A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
A METHOD FOR QUALITATIVELY MAPPING THE FLOOD PHYSICAL VULNERABILITY OF RESIDENTIAL AREAS
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).
A METHOD FOR QUALITATIVELY MAPPING THE FLOOD PHYSICAL VULNERABILITY OF RESIDENTIAL AREAS
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).
A METHOD FOR QUALITATIVELY MAPPING THE FLOOD PHYSICAL VULNERABILITY OF RESIDENTIAL AREAS
Doan, To-Uyen Thi (author) / Kanno, Ariyo (author) / Yamamoto, Koichi (author) / Imai, Tsuyoshi (author) / Higuchi, Takaya (author) / Sekine, Masahiko (author) / Ho Chi Minh City University of Natural Resources and Environment, 236B Le Van Sy street, Tan Binh district, Ho Chi Minh city, Vietnam
2020-10-16
doi:10.15625/2525-2518/58/5/14670
Vietnam Journal of Science and Technology; Vol 58, No 5 (2020); 578 ; Tạp chí Khoa học và Công nghệ; Vol 58, No 5 (2020); 578 ; 2525-2518
Article (Journal)
Electronic Resource
English
DDC:
710
Vulnerability assessment or preliminary flood risk mapping and management in coastal areas
| BASE | 2016
Simulating Flood Waves in Residential Areas
| Online Contents | 2017
Simulating Flood Waves in Residential Areas
| Online Contents | 2017
Simulating Flood Waves in Residential Areas
| Springer Verlag | 2017
Flood Control - Urban Vulnerability in Lowland Areas
| Online Contents | 2012