We are studying for the realization of real-time, high-precision weather and disaster prediction by constructing observation infrastructure that covers a wide range of areas offshore, underwater, and in the mountains — places that have so far largely gone unobserved.
Background / Issues
Based on the "In-orbit Demonstration of 920MHz Band IoT Satellite Platform Using Satellite MIMO Technology" adopted by the Japan Aerospace Exploration Agency (JAXA) in May 2020 as a demonstration theme for innovative satellite technology, research project is now underway on communications infrastructure covering areas where information cannot be collected using ground-based communications infrastructure.
As a result, it is expected to be possible to observe a wide range of areas in the sea, underwater, and in mountainous areas which have mostly gone unobserved.
Advantages of this technology
- By utilizing a variety of observation tools that can be equipped with IoT sensors, such as aerial and nautical drones, buoys, and marine exploeres, it is going to construct an information-gathering platform that realizes wider-ranging and more frequent measurements than ever before.
- By installing IoT sensors and other devices in desired locations, it becomes possible to conduct detailed weather observations and acquire and assimilate data that contribute to predicting extreme weather such as rapidly changing localized torrential rain and typhoons. (Data assimilation: Work carried out mainly in the field of earth science aimed at improving the reproducibility of numerical models. It involves entering actual observed values into a model to produce results that are closer to reality.)
- Gathering and analyzing observation data from a wide range of areas, including offshore, underwater, and mountains
- Weather forecasting and disaster prediction using a wide range of real-time observation information
- Services based on the gathering and analysis of sensor information
Department in charge
NTT Space Environment and Energy Laboratories - Resilient Environmental Adaptation Research Project