WE4.S1.5

EARTHQUAKE DAMAGE ASSESSMENT OF 21st NOVEMBER 2022 IN CIANJUR, INDONESIA: A GRID-BASED AND MACHINE LEARNING APPROACH USING SENTINEL-1 SAR INTERFEROMETRY

Arli Ardiandy Nurseramika, Hideomi Gokon, Japan Advanced Institute of Science and Technology, Indonesia

Session:
WE4.S1: Rapid Building Damage Detection After Natural Hazards Using Satellite Optical Imagery and UAV Data Oral

Track:
Community-Contributed Sessions

Location:
Sky: Room S1

Presentation Time:
Wednesday, 6 August, 16:45 - 17:00

Session Co-Chairs:
Husam Al-Najjar, University of Technology Sydney (UTS) and Giorgia Guerrisi, Tor Vergata University of Rome
Presentation
Discussion
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Resources
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