​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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Detalles Bibliográficos
Autores principales: Zhang, Weixing, Li, Weidong, Zhang, Chuanrong, Hanink, Dean M., Li, Xiaojiang, Wang, Wenjie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2017
Materias:
Data Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5397128/
https://www.ncbi.nlm.nih.gov/pubmed/28459090
http://dx.doi.org/10.1016/j.dib.2017.04.002

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5397128/
https://www.ncbi.nlm.nih.gov/pubmed/28459090
http://dx.doi.org/10.1016/j.dib.2017.04.002

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