Remote Sensing for Typhoon Flood Economic Loss Estimation: Current State and Digital Twin Prospects

Abstract. Typhoon-induced flood events result in enormous property losses and lives, thereby jeopardizing the prospects of sustainable societal growth. Scientific, objective, and accurate information regarding the spatial pattern of their direct economic impacts is of great importance to flood emergency response planning, disaster-related insurance settlements, and reconstruction after such events. Systematic reviews on the direct economic estimation of typhoon flood events do not currently exist. This paper describes basic framework for estimating typhoon flood economic losses, explains data utilized in remote sensing on such economic losses, summarizes remote sensing simulation technologies on direct economic losses due to typhoon flood, and includes the most recent advances and demands for building digital twin watersheds to recommend core research technologies focusing on direct economic losses of Typhoon flood: (1) High-precision remote sensing recognition of principal factors leading to Typhoon flood and subsequent damage; (2) Property value and loss reconstruction and measurement with digital twin techniques; (3) Intelligent assessment and precision service technologies for direct economic loss estimation of typhoon flood.

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Publication Details

Journal
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences
Published
2025-11-26
DOI
https://doi.org/10.5194/isprs-archives-xlviii-4-w14-2025-91-2025
Primary Topic
Flood Risk Assessment and Management
Type
article
Field-Weighted Citation Impact
0.00

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article

Remote Sensing for Typhoon Flood Economic Loss Estimation: Current State and Digital Twin Prospects

Akiyuki Kawasaki, Yizi Shang, Qiang He, Jie Liu et al.
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences
Flood Risk Assessment and Management
article

Remote Sensing for Typhoon Flood Economic Loss Estimation: Current State and Digital Twin Prospects

Akiyuki Kawasaki, Yizi Shang, Qiang He, Jie Liu, Denghua Yan, Rong Li, Wei Jiang, Ming Liu, Zhiguo Pang
article en

Abstract

Abstract. Typhoon-induced flood events result in enormous property losses and lives, thereby jeopardizing the prospects of sustainable societal growth. Scientific, objective, and accurate information regarding the spatial pattern of their direct economic impacts is of great importance to flood emergency response planning, disaster-related insurance settlements, and reconstruction after such events. Systematic reviews on the direct economic estimation of typhoon flood events do not currently exist. This paper describes basic framework for estimating typhoon flood economic losses, explains data utilized in remote sensing on such economic losses, summarizes remote sensing simulation technologies on direct economic losses due to typhoon flood, and includes the most recent advances and demands for building digital twin watersheds to recommend core research technologies focusing on direct economic losses of Typhoon flood: (1) High-precision remote sensing recognition of principal factors leading to Typhoon flood and subsequent damage; (2) Property value and loss reconstruction and measurement with digital twin techniques; (3) Intelligent assessment and precision service technologies for direct economic loss estimation of typhoon flood.

˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciencesVol. XLVIII-4/W14-2025
Dalian University of Technology (CN), China Institute of Water Resources and Hydropower Research (CN), Dalian University (CN), China Coal Technology and Engineering Group Corp (China) (CN), The University of Tokyo (JP)
National Natural Science Foundation of China, China Scholarship Council
Openalex Percentile: Top 66%
Flood Risk Assessment and Management
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