When it comes to Earth observations in AI for disaster risk reduction, is it feast or famine? A topical review

When it comes to Earth observations in AI for disaster risk reduction, is it feast or famine? A topical review

Earth observations (EOs) have successfully been used to train artificial intelligence (AI)-based models in the field of disaster risk reduction (DRR) contributing to tools such as disaster early warning systems. Given the number of in situ and remote (e.g. radiosonde/satellite) monitoring devices, t...

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Bibliographic Details
Main Authors: Monique M Kuglitsch, Arif Albayrak, Jürg Luterbacher, Allison Craddock, Andrea Toreti, Jackie Ma, Paula Padrino Vilela, Elena Xoplaki, Rui Kotani, Dominique Berod, Jon Cox, Ivanka Pelivan
Format: Article
Language:English
Published: IOP Publishing 2023-01-01
Series:Environmental Research Letters
Subjects:
Earth observation
remote sensing
disaster risk reduction
artificial intelligence
machine learning
Online Access:https://doi.org/10.1088/1748-9326/acf601

Internet

https://doi.org/10.1088/1748-9326/acf601

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