MOP.P12.1

ANALYSIS OF HEAVY RAIN (2021) USING CX-BAND MULTI-PARAMETER RADAR DATA, KYUSHU, JAPAN

Masahiro Nishio, , Kurume Institute of Technology, Japan
Session:
MOP.P12: IoT in Geoscience and Remote Sensing Poster
Track:
AI and Big Data
Location:
Poster Area 12
Presentation Time:
Mon, 17 Jul, 14:15 - 15:45 Pacific Time (UTC -7)
Session Chair:
Rashmi Shah, JPL/Caltech
Session Managers:
Al Adil Al Hinai and Ivan Arias and Shubham Awasthi and Ayoti Banerjee
Presentation
Discussion
Resources
No resources available.
Session MOP.P12
MOP.P12.1: ANALYSIS OF HEAVY RAIN (2021) USING CX-BAND MULTI-PARAMETER RADAR DATA, KYUSHU, JAPAN
Masahiro Nishio, , Kurume Institute of Technology, Japan
MOP.P12.2: SPEED MONITORING OF HEAVY VEHICLES ON CONSTRUCTION PLANTS BY FUSING CAMERA VISUAL IMAGE WITH UAV LIDAR POINT CLOUD
Zehua Wu, Ying Chen, Xiaoliang Meng, Jieyan Sun, Yuhan Zhu, Wuhan University, China; Tinghao Li, Hubei University, China
Resources
No resources available.