Google Earth Engine for Informal Settlement Mapping: A Random Forest Classification Using Spectral and Textural Information

Google Earth Engine for Informal Settlement Mapping: A Random Forest Classification Using Spectral and Textural Information

Accurate and reliable informal settlement maps are fundamental decision-making tools for planning, and for expediting informed management of cities. However, extraction of spatial information for informal settlements has remained a mammoth task due to the spatial heterogeneity of urban landscape com...

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Bibliographic Details
Main Authors:	Dadirai Matarira, Onisimo Mutanga, Maheshvari Naidu
Format:	Article
Language:	English
Published:	MDPI AG 2022-10-01
Series:	Remote Sensing
Subjects:	cloud computing heterogeneous urban landscapes Sentinel 2A textural features data input combinations
Online Access:	https://www.mdpi.com/2072-4292/14/20/5130

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