​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
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author Zhang, Weixing
Li, Weidong
Zhang, Chuanrong
Hanink, Dean M.
Li, Xiaojiang
Wang, Wenjie
author_facet Zhang, Weixing
Li, Weidong
Zhang, Chuanrong
Hanink, Dean M.
Li, Xiaojiang
Wang, Wenjie
author_sort Zhang, Weixing
collection PubMed
description 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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spelling pubmed-53971282017-04-28 ​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--> Zhang, Weixing Li, Weidong Zhang, Chuanrong Hanink, Dean M. Li, Xiaojiang Wang, Wenjie Data Brief Data Article 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]. Elsevier 2017-04-08 /pmc/articles/PMC5397128/ /pubmed/28459090 http://dx.doi.org/10.1016/j.dib.2017.04.002 Text en © 2017 Published by Elsevier Inc. http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Zhang, Weixing
Li, Weidong
Zhang, Chuanrong
Hanink, Dean M.
Li, Xiaojiang
Wang, Wenjie
​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-->
title ​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-->
title_full ​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-->
title_fullStr ​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-->
title_full_unstemmed ​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-->
title_short ​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-->
title_sort ​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-->
topic Data Article
url 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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