Use of Google street view for urban land use classification in Brooklyn, New York City

Publication date: Available online 8 April 2017
Source:Data in Brief
Author(s): Weixing Zhang, Weidong Li, Chuanrong Zhang, Dean M. Hanink, Xiaojiang Li, Wenjie Wang
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 urban land use classification data that are related to our research article "Parcel-based urban land use classification in megacity using airborne LiDAR, high resolution orthoimagery, and Google Street View" (Zhang et al., 2017) [1]. More detail about other used data and our findings can be found in Zhang et al. (2017) [1].



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