Street view imagery in urban analytics and GIS: A review

•Street-level imagery became ingrained as an important urban data source.•Most comprehensive review on street view imagery in geospatial and urban studies.•We have screened 619 papers to identify the state of the art, focusing on applications.•250 studies are classified into 10 application domains a...

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Bibliographic Details
Published in:	Landscape and urban planning Vol. 215; p. 104217
Main Authors:	Biljecki, Filip, Ito, Koichi
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.11.2021
Subjects:	Built environment computer vision data collection Deep learning Ground-level landscapes Remote sensing socioeconomics spatial data systematic review transportation Urban data science Urban planning vegetation Deep learning Ground-level Urban data science Built environment Urban planning Remote sensing
ISSN:	0169-2046, 1872-6062
Online Access:	Get full text
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