​Parcel feature data derived from Google Street View images for urban land use classification in Brooklyn, New York Cityfor urban land use classification in Brooklyn, New York Cityretain-->

​Parcel feature data derived from Google Street View images for urban land use classification in Brooklyn, New York Cityfor urban land use classification in Brooklyn, New York Cityretain-->

Google Street View (GSV) was used for urban land use classification, together with airborne light detection and ranging (LiDAR) data and high resolution orthoimagery, by a parcel-based method. In this data article, we present the input raw GSV images, intermediate products of GSV images, and final u...

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Bibliographic Details
Main Authors: Weixing Zhang, Weidong Li, Chuanrong Zhang, Dean M. Hanink, Xiaojiang Li, Wenjie Wang
Format: Article
Language:English
Published: Elsevier 2017-06-01
Series:Data in Brief
Subjects:
Google Street View
Urban land use classification
Parcel feature
Detected text
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340917301348

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http://www.sciencedirect.com/science/article/pii/S2352340917301348

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