Please note that this session was withdrawn and is no longer available in the respective programme. This withdrawal might have been the result of a merge with another session.
ITS1.9/NH13.6 | Emerging data types in natural hazards and hydrology research
PICO
Emerging data types in natural hazards and hydrology research
Convener: Mariana Madruga de Brito | Co-conveners: Lina SteinECSECS, Serena Ceola, Johanna Mård, Paola Mazzoglio
This session delves into the potential of emerging data types in advancing our understanding of natural hazards and hydrology. With the increasing availability of vast amounts of text, digital trace, social sensing, social media, mobile phone, opportunistic sensing, audio-visual, and crowdsourced data, researchers have an unprecedented opportunity for natural hazards and hydrology research. By leveraging these new data types, this session will explore methods and interdisciplinary approaches that enable comprehensive analysis of the consequences of disasters (droughts, floods, landslides, storms, etc.), real-time event monitoring, behavior analysis, and public perception tracking. Key methods to be discussed include natural language processing, social media analysis, historical data rescue, deep learning, and machine learning.