Reconstructing missing data of damaged buildings from post-hurricane reconnaissance data using XGBoost

Reconstructing missing data of damaged buildings from post-hurricane reconnaissance data using XGBoost

Assessing building damage in coastal communities after a hurricane event is crucial for reducing both immediate and long-term disaster impacts, as well as for enhancing resilience planning and disaster preparedness. Despite the extensive data collection efforts of the post-hurricane reconnaissance t...

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Bibliographic Details
Main Authors: Hyunje Yang, Jun-Whan Lee, Steven Klepac, Armando Ulises Santos Cruz, Arthriya Subgranon, Junfeng Jiao
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-12-01
Series:Frontiers in Built Environment
Subjects:
natural hazard
reconnaissance
coastal region
structural features
machine-learning
Online Access:https://www.frontiersin.org/articles/10.3389/fbuil.2024.1444001/full
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