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2018/2/22

Expected to be applied to the world's first elevation big data, tsunami risk prediction, underground resource search, etc.

University Journal Online Editorial Department

　Akihiro Sato, Associate Professor of the Graduate School of Informatics, Kyoto University, and others have developed the world's first method for integrated analysis of satellite big data and world position information through joint research between the Space System Development and Utilization Promotion Organization and MM Research Institute, Inc. bottom.

　In recent years, satellite observation technology has been developed, and various satellite big data can be obtained at the global level.However, until now, standard associations with world location information (latitude, longitude, area division) have not been made, so integrated analysis of those data and correlation analysis with other data are performed. It was difficult to do, and it was a big issue.

　This time, the group independently extended the regional mesh code (JIS X0410) of the Japanese Industrial Standards (JIS) and proposed the world's first data format called "world mesh code".Furthermore, we succeeded in developing a new algorithm that generates a "statistical database" at high speed by linking satellite big data to the world mesh code, and created the world's first statistical database of elevation big data.This database has been released free of charge from February 2018, 2 on the site of the World Mesh Research Institute, a joint research organization run by Associate Professor Sato and others.

　This result has made it possible to convert various satellite big data, which had been difficult to integrate analysis, based on world location information.For example, elevation data and tsunami risk data can be analyzed in an integrated manner, and it is expected to be used for predictive analysis of tsunami damage risk on a global scale.Furthermore, in the future, it is expected to be used for various applied analyzes such as underground resource search, water resource management, and flood prevention measures.

reference:[World Mesh Research Institute] Ministry of Economy, Trade and Industry ASTER GDEM-derived elevation statistical product (3rd mesh data) * Japanese version

Paper information:[2017 IEEE International Conference on Big Data (Big Data)] World Grid Square Codes: Definition and an example of world grid square data

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