TUP1.PI: Harnessing Geospatial Technology and Machine Learning for Flood Management in Fluvial and Glacierized Catchments
Tuesday, 11 August, 09:45 - 11:00
Location: Poster Area I
Session Type: Poster
Session Co-Chairs: Ashok Keshari, Indian Institute of Technology Delhi and Hatef Dastour, University of Missouri
Track: Community Contributed Themes
Poster Area I

TUP1.PI.1: RESEARCH ON SPACE-AIR-GROUND STEREO MONITORING AND IDENTIFICATION OF RIVER HYDRAULIC PARAMETERS

Cen Zhang, Beijing Water Science & Technology Institute
Poster Area I

TUP1.PI.2: High-Resolution Flood Extent Detection Using Deep Learning with Random Forest–Derived Training Labels

Azizbek Nuriddinov, Ebrahim Ahmadisharaf, Florida State University; Reza Alizadeh, Michigan State University
Poster Area I

TUP1.PI.4: A COMPREHENSIVE ASSESSMENT OF FLOODWATER DEPTH MODELS DURING EXTREME FLOOD EVENTS IN CHANNEL COUNTRY RIVER SYSTEM

ATUL KUMAR RAI, University of Wollongong; Rajeev Ranjan, Indian Institute of Technology Delhi; Timothy J Cohen, University of Wollongong; Moshe Armon, The Hebrew University of Jerusalem; Samuel J Marx, University of Wollongong
Poster Area I

TUP1.PI.8: Harnessing Geospatial Technology and Machine Learning for Flood Management in Fluvial and Glacierized Catchments

Laxmi Joshi, Map Earth; Tushar Singh, University of North West Himalaya, Dehradun, India; Rohit Rai, Engrossone Technology
Poster Area I

TUP1.PI.9: TRANSFORMER-BASED MODELS FOR OPERATIONAL URBAN FLOODWATER DEPTH ESTIMATION FROM EARTH OBSERVATION DATA

Jeffrey Blay, Leila Hashemi-Beni, North Carolina A&T State University
Poster Area I

TUP1.PI.10: A Multi-Sensor Data Fusion Framework for Natural Disaster Mitigation and Recovery

Hadia Rahmani, Amjad Gawanmeh, Shadi Atalla, Alavikunhu Panthakkan, Hussain Al Ahmad, University of Dubai; Saeed Al Mansoori, Mohammed Bin Rashid Space Centre; Saed Tarapiah, University of Dubai