Monitoring Urban Deprived Areas with Remote Sensing and Machine Learning in Case of Disaster Recovery

Rapid urbanization and increasing population in cities with a large portion of them settled in deprived neighborhoods, mostly defined as slum areas, have escalated inequality and vulnerability to natural disasters. As a result, monitoring such areas is essential to provide information and support de...

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Bibliographic Details
Main Authors: Saman Ghaffarian, Sobhan Emtehani
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Climate
Subjects:
Online Access:https://www.mdpi.com/2225-1154/9/4/58