TH3.R10.1

Efficient Large-scale Damage Assessment after Natural Disasters with UAVs and Deep Learning

Maryam Rahnemoonfar, Lehigh University, United States; Farshad Safavi, University of Maryland Baltimore County, United States
Session:
TH3.R10: Scaling GeoAI for Rapid Disaster Response and Humanitarian Applications Oral
Track:
Community-Contributed Sessions
Location:
Room 101
Presentation Time:
Thu, 20 Jul, 13:00 - 13:12 Pacific Time (UTC -7)
Session Chair:
Abhishek Potnis, Oak Ridge National Laboratory
Session Manager:
Kelsey Doerksen
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Session TH3.R10
TH3.R10.1: Efficient Large-scale Damage Assessment after Natural Disasters with UAVs and Deep Learning
Maryam Rahnemoonfar, Lehigh University, United States; Farshad Safavi, University of Maryland Baltimore County, United States
TH3.R10.2: UNSUPERVISED DOMAIN ADAPTATION USING GENERATIVE ADVERSARIAL NETWORK FOR EXTREME EVENTS MONITORING
Pratyush V Talreja, Surya S Durbha, Rajat C Shinde, Shreelakshmi C R, Indian Institute of Technology Bombay, India
TH3.R10.3: SCALING AUTOMATIC VECTOR DATA ALIGNMENT TO SATELLITE IMAGERY
Abhishek Potnis, Dalton Lunga, Philipe Dias, Lexie Yang, Jacob Arndt, Jordan Bowman, Oak Ridge National Laboratory, United States
TH3.R10.4: SEMI-SUPERVISED CLASSIFICATION OF COLLAPSED BUILDING USING REMOTE SENSING, IN-PLACED SENSORS, AND FRAGILITY FUNCTIONS
Aymar Raúl Portillo Cazorla, Luis Moya Huallpa, Sandra Santa Cruz, Nicola Tarque Ruiz, Pontificia Universidad Católica del Perú, Peru
TH3.R10.5: SEASONAL ANOMALIES ON CLIMATE DISRUPT ECOSYSTEM DYNAMICS OF DIFFERENT GRAZING SYSTEMS
Jomar M. Barbosa, Marina Rincón-Madroñero, Jose Antonio Sánchez-Zapata, Miguel Hernández University, Spain
Resources
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