A comprehensive review and comparison of the fragility curves used for resilience assessments in power systems
A Serrano-Fontova, H Li, Z Liao, MR Jamieson… - IEEE …, 2023 - ieeexplore.ieee.org
Over the years, power systems have been severely affected by extreme events. This
situation has worsened given that climate change has proven to exacerbate their frequency …
situation has worsened given that climate change has proven to exacerbate their frequency …
Scalable and rapid building damage detection after hurricane Ian using causal Bayesian networks and InSAR imagery
Timely and accurate assessment of hurricane-induced building damage is crucial for
effective post-hurricane response and recovery efforts. Recently, remote sensing …
effective post-hurricane response and recovery efforts. Recently, remote sensing …
Squeezing adaptive deep learning methods with knowledge distillation for on-board cloud detection
Cloud detection is a pivotal satellite image pre-processing step that can be performed on
board a satellite to tag useful images. It can reduce the amount of data to downlink by …
board a satellite to tag useful images. It can reduce the amount of data to downlink by …
Improving first Responders' effectiveness in post-disaster scenarios through a hybrid framework for damage assessment and prioritization
Disasters have long been a persistent challenge for humanity, causing extensive destruction
that often exceeds the capacity of local authorities to address effectively. The complexity of …
that often exceeds the capacity of local authorities to address effectively. The complexity of …
Restoration of vegetation greenness and possible changes in mature forest communities in two forests damaged by the Vaia storm in northern Italy
L Giupponi, V Leoni, D Pedrali, A Giorgi - Plants, 2023 - mdpi.com
Windstorms are rare in the Southern Alps, but their frequency is increasing due to climate
change. This research analyzed the vegetation of two spruce forests in Camonica Valley …
change. This research analyzed the vegetation of two spruce forests in Camonica Valley …
Traffic monitoring system design considering multi-hazard disaster risks
Roadways are critical infrastructure in our society, providing services for people through and
between cities. However, they are prone to closures and disruptions, especially after …
between cities. However, they are prone to closures and disruptions, especially after …
Move up or move over: mapping opportunities for climate adaptation in Pakistan's Indus plains
Abstract The 2022 Indus floods in Pakistan underscore the urgency of adapting to more
frequent and severe natural disasters in a warming world. Post-disaster reconstruction offers …
frequent and severe natural disasters in a warming world. Post-disaster reconstruction offers …
[HTML][HTML] Coastal Zone Information Model: A comprehensive architecture for coastal digital twin by integrating data, models, and knowledge
The coastal zone represents a critical intersection of naturally ecological and socio-
economic processes. The abundance of data, models, and knowledge derived from various …
economic processes. The abundance of data, models, and knowledge derived from various …
Quantifying flood risk using InVEST-UFRM model and mitigation strategies: the case of Adama City, Ethiopia
BM Leta, D Adugna - Modeling Earth Systems and Environment, 2024 - Springer
Adama, the second largest city in Ethiopia, faces regular flash floods. These floods severely
impact the city dwellers' livelihoods due to unplanned urbanization in flood-prone low-lying …
impact the city dwellers' livelihoods due to unplanned urbanization in flood-prone low-lying …
Hurricane Ian Damage Assessment Using Aerial Imagery and LiDAR: A Case Study of Estero Island, Florida
Remote sensing techniques have emerged as an essential tool for conducting damage
assessments and are commonly used to improve disaster recovery planning and community …
assessments and are commonly used to improve disaster recovery planning and community …