Flood monitoring
*An example of an analysis (estimated flood depth) of the Kuma River flood damage (July 2020) conducted by NSI staff while enrolled at Yamaguchi University. Provided to Kumamoto Prefecture through the National Research Institute for Earth Science and Disaster Resilience
Service
Overview
Flood damage is increasing due to the frequent occurrence of heavy rains caused by climate change and urbanization. In order to minimize economic damage, it is necessary to know the extent of the damage as soon as possible. Our flood damage detection service uses integrated data from multiple satellites to provide information on the extent of flood damage and estimated depth in a short time.
It can provide information on the extent of flood damage and estimated depth in a short time. There are several methods for detecting the extent of flood damage, such as using the backscatter intensity of SAR satellites or the near-infrared band of optical satellites. Our method uses a variety of satellites and analysis methods in an integrated manner to provide highly accurate information in a short time. Transfer learning makes it possible to efficiently proceed with learning and detect flood damage with high performance, even when using new satellite data with little training data.
Expected
Benefits
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By using data from multiple satellites (such as SAR and optical satellites), we have improved the accuracy of analysis and reduced the time it takes to provide information.
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Using a virtual satellite constellation, we optimize optical/SAR satellite observations for affected areas based on the satellite orbit and weather conditions, and select the observation data that will provide information in the shortest time possible.
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It is possible to build a variety of information provision systems, such as detecting flooded areas, estimating flood depth, detecting damaged houses, updating flood hazard maps, and monitoring reservoirs.
Service Flow
Preparation
Delivery
Selection of observation area:
The observation area will be selected based on important monitoring points, the path of typhoons, and information immediately after heavy rain disasters.
Selection of satellite data to use:
We will select the satellite data that can be provided in the shortest time possible based on the satellite orbit.
Damage detection analysis:
applying multiple satellite data analysis methods, we are able to improve the accuracy of analysis and reduce the time it takes to provide information.
Collaboration with various disaster activities:
We collaborate with disaster-related activities by the International Charter, Sentinel Asia, the National Research Institute for Earth Science and Disaster Resilience, and other organizations. We collaborate with publicly available disaster information to improve the efficiency of disaster response.
* An example of an analysis (flood detection) of the Saga heavy rain disaster (August 2019) and it was detected flooded areas and oil spills conducted by NSI staff while enrolled at Yamaguchi University. The data was provided to Saga Prefecture through the National Research Institute for Earth Science and Disaster Resilience in cooperation with the International Charter.
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