日本地球惑星科学連合2018年大会

講演情報

[EE] 口頭発表

セッション記号 A (大気水圏科学) » A-CG 大気水圏科学複合領域・一般

[A-CG36] 衛星による地球環境観測

2018年5月24日(木) 09:00 〜 10:30 コンベンションホールB(CH-B) (幕張メッセ国際会議場 2F)

コンビーナ:沖 理子(宇宙航空研究開発機構)、本多 嘉明(千葉大学環境リモートセンシング研究センター)、高薮 縁(東京大学 大気海洋研究所、共同)、松永 恒雄(国立環境研究所地球環境研究センター/衛星観測センター)、Allen HL Huang (University of Wisconsin Madison)、座長:Huang Allen

10:00 〜 10:15

[ACG36-17] Harnessing Satellite Big Data for Weather and Environment Intelligence

*Huang Allen1 (1.University of Wisconsin Madison)

キーワード:Satellite Big Data、Deep Learning Analytics、weather and environment intelligence

Comprehensive new weather and environmental information-rich heterogeneous data, in the era of “Big Data”, are being generated routinely with the rapid advancement of space-borne, air-borne and ground-based remote sensing and in-situ sensors. We are to leverage this phenomenal volume of complex data using sophisticated data analytics for the betterment of our society and for advancing commercial opportunity.
By integrating weather and environment satellite big data with sophisticated mathematical algorithms, high-performance computing power, and deep learning analytics, we now can achieve a hyper-fine-grained localized, and highly accurate weather and environment intelligence infrastructure. Coupled with state-of-the-art visualization and mobile technologies, such a system delivering information products in near-real-time has the potential to have a significant impact on societal activities and on a range of commercial enterprises.
We are to demonstrate a development of a cutting-edge prototype system suitable for metropolitan areas around the world with a set of local four-dimensional grids of thousands of street blocks, rapidly refreshed with the latest weather and environment intelligence, and with detail relevant to individual activities and various enterprise operations.