JpGU-AGU Joint Meeting 2020

Presentation information

[E] Oral

U (Union ) » Union

[U-16] OC:Research Advances in Recent Disaster Studies Using Remote Sensing and Computational Methodologies

convener:Jun Matsumoto(Deaprtment of Geography, Tokyo Metropolitan University), Guido Cervone(Pennsylvania State University Main Campus), Chairperson:Jun Matsumoto(Deaprtment of Geography, Tokyo Metropolitan University), Chairperson:Guido Cervone(Pennsylvania State University Main Campus)

[U16-03] Next-generation alerting system for natural disasters using ground network and micro-satellites

★Invited Papers

*Yukihiro Takahashi1,2, Mitsuteru Sato1,2, Hisayuki Kubota1,2, Kozo Yamashita3, Tetsuro Ishida1,2 (1.Department of Cosmosciences, Graduate School of Science, Hokkaido University, 2.Faculty of Science, Hokkaido University, 3.Faculty of Engineering, Ashikaga University)

Keywords:remote sensing, lightning, micro-satellite

It is not easy to predict the intensity and location of extreme weathers, such like torrential rainfall by individual thunderstorm or typhoon since low resolution and less coverage of the existing observational methods. We have been developing an observation system for extreme weather monitoring using of 50-kg micro-satellites and with ground network consisting of automated weather stations with ground-based lightning sensor in the projects of a SATREPS “ULAT” and e-ASIA under international cooperation among Japan, Philippines, Indonesia and other SE-Asian countries supported by JST, JICA, PHL-Microsat and other fundings.

We are installing totally 60 AWS stations with lightning sensor over nation-wide of Philippines and concentrating Metro Manila. We operate micro-satellites developed and controlled by our group in order to capture the 3 dimensional structure of the thunderstorms or clouds in typhoon eye by the on-demand operation of 50-kg micro-satellites, including the Philippine-developed satellites, based on real time weather data obtained by the ground based networks and other satellite imaging. Here we show the future strategy of the alerting system for the extreme weathers and other kinds of natural disasters.