GIAJ initiates an experiment to verify large-scale flood damage assessments utilizing JAXA’s satellite imagery
- GIAJ aspires to bolster prompt payment of insurance claims through this industry-wide experiment -

GIAJ initiates an industry-wide experiment to verify large-scale flood damage assessments using satellite image data provided by the Japan Aerospace Exploration Agency (JAXA).

Aiming at ensuring that general insurers make prompt claim payments, GIAJ receives JAXA’s satellite image data of large-scale floods to quickly assess the extent of damage over a wide area.

By analyzing the satellite image data provided by JAXA via GIAJ, the member companies participating in this project aim to build up the structures to assess the extent of damage at an early stage without the necessity of conducting on-site investigations. The data is utilized for appropriate personnel distribution of loss assessors to assess damage, development of disaster response plans, and customer services regarding insurance claim payments.

The project is being conducted by participating in the ongoing disaster prevention experiment that is part of the data utilization of the Advanced Land Observing Satellite-2 "DAICHI-2" (ALOS-2), which contributes to supporting disaster management activities, updating-infrastructure information, grasping agricultural conditions and monitoring global forests. GIAJ and its member companies support JAXA in developing and coordinating its vision for future use of satellite imagery by providing feedback on the results of data usage.

Workflow Diagram

GIAJ is currently considering an industry-wide scheme that will enable member companies to make prompt and proper insurance claim payments in light of the increasing severity and frequency of natural disasters. We believe that this project will be particularly useful in helping to achieve prompt claim payments.

The general insurance industry will continue to contribute to a safe and secure society by solving industry issues related to natural disaster responses.

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