Decision-level and feature-level integration of remote sensing and geospatial big data for urban land use mapping

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Decision-level and feature-level integration of remote sensing and geospatial big data for urban land use mapping

Information about urban land use is important for urban planning and sustainable development. The emergence of geospatial big data (GBD), increased the availability of remotely sensed (RS) data and the development of new methods for data integration to provide new opportunities for mapping types of...

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Bibliographic Details
Main Authors:	Yin, Jiadi, Fu, Ping, Hamm, Nicholas A.S., Li, Zhichao, You, Nanshan, He, Yingli, Cheshmehzangi, Ali, Dong, Jinwei
Format:	Article
Language:	English
Published:	MDPI 2021
Subjects:	urban land use; remote sensing; geospatial big data; decision-level integration; feature-level integration; Hangzhou
Online Access:	https://eprints.nottingham.ac.uk/65174/

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