1. Summary

Data Integration & Analysis System (DIAS) aims at collecting, archiving, integrating and analyzing massive amount of data observing the earth, and convert data into information useful for the society for global-scale environmental problems, risk management for large-scale natural disasters, and so on. This project is an important part of "Earth Observation and Ocean Exploration System," which is regarded as one of National Key Technologies, and will contribute to the establishment of "Global Earth Observation System of Systems" (GEOSS).

2. Sub Projects

National Institute of Informatics is in charge of the following three projects.

Analysis of Global Warming Prediction Data (joint work with EDITORIA, University of Tokyo)

How will global warming change extreme weather events? For example, what kind of changes will we see for typhoons, or Baiu rainy season? To study this change, we need to compare past weather data (reanalysis data) and future weather data (global warming prediction data), and evaluate the change quantitatively. We study image analysis and data mining algorithms for this purpose.

Participatory Biodiversity Monitoring (joint work with the department of agriculture, University of Tokyo)

We now have more and more invasive alien species coming from the world, and we need to eliminate them to protect native species and ecosystem. The purpose of the research is to enhance participatory biodiversity monitoring programs using Websites designed for instantaneous information sharing. We focus on supporting programs on Bombus terrestris, a kind of bumblebees, which was designated an "Invasive Alien Species" by Ministry of the Environment.

Agricultural Monitoring Using Field Servers (joint work with the department of agriculture, University of Tokyo, and National Agricultural Research Center)

Experiences play important roles in agriculture, but we need information system to share experiences with others for the development of agriculture in the future. We use various sensors and cameras for continous monitoring and the creation of databases of the farmland, and apply comprehensive data analysis and image analysis to understand the effect of farmer's activities and the weather, leading to adaptive management and the increase of productivity.

In addition to the agricultural project above, we are also working on Sugarnavi Project.

3. References (Complete List)

  1. Asanobu KITAMOTO, Miri NAKAHARA, Izumi WASHITANI, Taku KADOYA, Masaki YASUKAWA, Masaru KITSUREGAWA, "Information Visualization and Organization for Participatory Monitoring of Invasive Alien Species", Proceedings of the 20th International Workshop on Database and Expert Systems Applications (DEXA) / 1st International Workshop on Database Challenges in Biodiversity Informatics, Tjoa, A.M., and Wagner, R.R. (Eds.), pp. 345-349, IEEE, doi:10.1109/DEXA.2009.85, 2009-9 [ Abstract ]
  2. Asanobu KITAMOTO, Laure FRACHET, Mark MATEO, Masaru MIZOGUCHI, Takuji KIURA, Seishi NINOMIYA, Tokihiro FUKATSU, Masayuki HIRAFUJI, Hitoshi TORITANI, Masaki YASUKAWA, Hiroko KINUTANI, Masaru KITSUREGAWA, "Sensing of Farmland Environment and E-agriculture", ISSI Symposium 2008, 2008-11 (in Japanese) [ Abstract ]
  3. Masaki YASUKAWA, Hiroko KINUTANI, Masaru KITSUREGAWA, Asanobu KITAMOTO, Masaru MIZOGUCHI, Takuji KIURA, Seishi NINOMIYA, Hitoshi TORITANI, "A Prototype of Field Server Data Browser", Institute of Electronics, Information, and Communication Engineers (IEICE), 19th Data Engineering Workshop (DEWS2008), No. B1-5, 2008-3 (in Japanese) [ Paper ]