Improving operational use of post-disaster damage assessment for Urban Search and Rescue by integrated graph-based multimodal remote sensing data analysis

This work investigates the application of remote sensing technologies within the specific operational context of emergency urban search and rescue (USAR) efforts post-disaster. We thoroughly investigate two innovative methodologies, each tailored to meet distinct operational goals in a USAR setting....

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Egile Nagusiak:	Sivasakthy Selvakumaran, Iain Rolland, Luke Cullen, Rob Davis, Joshua Macabuag, Charbel Abou Chakra, Nanor Karageozian, Amir Gilani, Christian Geiβ, Miguel Bravo-Haro, Andrea Marinoni
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	Elsevier 2025-01-01
Saila:	Progress in Disaster Science
Gaiak:	Disaster management Post-disaster Urban Search and Rescue (USAR) Remote sensing Graph-based data analysis Machine learning
Sarrera elektronikoa:	http://www.sciencedirect.com/science/article/pii/S2590061725000018
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