Xiaojiang Li
Xiaojiang Li
Assistant Professor, Temple University
Bestätigte E-Mail-Adresse bei - Startseite
Zitiert von
Zitiert von
Assessing street-level urban greenery using Google Street View and a modified green view index
X Li, C Zhang, W Li, R Ricard, Q Meng, W Zhang
Urban Forestry & Urban Greening 14 (3), 675-685, 2015
Mapping sky, tree, and building view factors of street canyons in a high-density urban environment
FY Gong, ZC Zeng, F Zhang, X Li, E Ng, LK Norford
Building and Environment 134, 155-167, 2018
Quantifying the shade provision of street trees in urban landscape: A case study in Boston, USA, using Google Street View
X Li, C Ratti, I Seiferling
Landscape and Urban Planning 169, 81-91, 2018
Who lives in greener neighborhoods? The distribution of street greenery and its association with residents’ socioeconomic conditions in Hartford, Connecticut, USA
X Li, C Zhang, W Li, YA Kuzovkina, D Weiner
Urban Forestry & Urban Greening 14 (4), 751-759, 2015
Does the visibility of greenery increase perceived safety in urban areas? Evidence from the place pulse 1.0 dataset
X Li, C Zhang, W Li
ISPRS International Journal of Geo-Information 4 (3), 1166-1183, 2015
Mapping the spatial distribution of shade provision of street trees in Boston using Google Street View panoramas
X Li, C Ratti
Urban Forestry & Urban Greening 31, 109-119, 2018
Comparing the normalized difference vegetation index with the google street view measure of vegetation to assess associations between greenness, walkability, recreational …
PJ Villeneuve, RL Ysseldyk, A Root, S Ambrose, J DiMuzio, N Kumar, ...
International journal of environmental research and public health 15 (8), 1719, 2018
Investigating the association between streetscapes and human walking activities using Google Street View and human trajectory data
X Li, P Santi, TK Courtney, SK Verma, C Ratti
Transactions in GIS 22 (4), 1029-1044, 2018
Environmental inequities in terms of different types of urban greenery in Hartford, Connecticut
X Li, C Zhang, W Li, YA Kuzovkina
Urban Forestry & Urban Greening 18, 163-172, 2016
Building block level urban land-use information retrieval based on Google Street View images
X Li, C Zhang, W Li
GIScience & Remote Sensing 54 (6), 819-835, 2017
Parcel-based urban land use classification in megacity using airborne LiDAR, high resolution orthoimagery, and Google Street View
W Zhang, W Li, C Zhang, DM Hanink, X Li, W Wang
Computers, Environment and Urban Systems 64, 215-228, 2017
Mapping urban landscapes along streets using google street view
X Li, C Ratti, I Seiferling
Advances in Cartography and GIScience: Selections from the International …, 2017
Mapping the spatio-temporal distribution of solar radiation within street canyons of Boston using Google Street View panoramas and building height model
X Li, C Ratti
Landscape and urban planning 191, 103387, 2019
Using deep learning to identify utility poles with crossarms and estimate their locations from google street view images
W Zhang, C Witharana, W Li, C Zhang, X Li, J Parent
Sensors 18 (8), 2484, 2018
Subjective or objective measures of street environment, which are more effective in explaining housing prices?
W Qiu, Z Zhang, X Liu, W Li, X Li, X Xu, X Huang
Landscape and Urban Planning 221, 104358, 2022
The distribution of greenspace quantity and quality and their association with neighbourhood socioeconomic conditions in Guangzhou, China: A new approach using deep learning …
R Wang, Z Feng, J Pearce, Y Yao, X Li, Y Liu
Sustainable Cities and Society 66, 102664, 2021
A big data approach to understanding pedestrian route choice preferences: Evidence from San Francisco
A Sevtsuk, R Basu, X Li, R Kalvo
Travel behaviour and society 25, 41-51, 2021
A hybrid method combining pixel-based and object-oriented methods and its application in Hungary using Chinese HJ-1 satellite images
X Li, Q Meng, X Gu, T Jancso, T Yu, K Wang, S Mavromatis
International journal of remote sensing 34 (13), 4655-4668, 2013
Associations between body mass index and urban “green” streetscape in Cleveland, Ohio, USA
X Li, D Ghosh
International journal of environmental research and public health 15 (10), 2186, 2018
Treepedia 2.0: applying deep learning for large-scale quantification of urban tree cover
BY Cai, X Li, I Seiferling, C Ratti
2018 IEEE International Congress on Big Data (BigData Congress), 49-56, 2018
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20