Assessing climate risks from satellite imagery with machine learning: A case study of flood risks in Jakarta

Consistent and timely assessment of climate risks is crucial for planning disaster mitigation and adaptation to climate change at the local community level. This article presents an automatized method for monitoring climate risks with machine learning on satellite imagery, specially targeting riveri...

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Bibliographic Details
Main Authors: Jeasurk Yang, Donghyun Ahn, Junbeom Bahk, Sungwon Park, Nurrokhmah Rizqihandari, Meeyoung Cha
Format: Article
Language:English
Published: Elsevier 2024-01-01
Series:Climate Risk Management
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Online Access:http://www.sciencedirect.com/science/article/pii/S2212096324000688
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