Using GIS and Machine Learning to Classify Residential Status of Urban Buildings in Low and Middle Income Settings

Utilising satellite images for planning and development is becoming a common practice as computational power and machine learning capabilities expand. In this paper, we explore the use of satellite image derived building footprint data to classify the residential status of urban buildings in low and...

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Auteurs principaux:	Christopher T. Lloyd, Hugh J. W. Sturrock, Douglas R. Leasure, Warren C. Jochem, Attila N. Lázár, Andrew J. Tatem
Format:	Artigo
Langue:	Inglês
Publié:	MDPI AG 2020-11-01
Collection:	Remote Sensing
Sujets:	machine learning building classification superlearner residential building footprint
Accès en ligne:	https://www.mdpi.com/2072-4292/12/23/3847
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