An estimation of housing vacancy rate using NPP-VIIRS night-time light data and OpenStreetMap data-Reference-Cited by-同舟云学术

An estimation of housing vacancy rate using NPP-VIIRS night-time light data and OpenStreetMap data

Published:2019-05-19 Issue:22 Volume:40 Page:8566-8588
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Wang Luyao¹²^ORCID,Fan Hong¹²,Wang Yankun³

Affiliation:

1. State Key Lab for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China

2. Collaborative Innovation Centre of Geospatial Technology, Wuhan University, Wuhan, China

3. Research Institute for Smart Cities & Guangdong Key Laboratory of Urban Informatics & Shenzhen Key Laboratory of Spatial Smart Sensing and Services, School of Architecture and Urban Planning, Shenzhen University, Shenzhen, China

Funder

China National Tobacco Corporation

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2019.1615655

Reference47 articles.

1. The Great Housing Boom of China

2. Estimating House Vacancy Rate in Metropolitan Areas Using NPP-VIIRS Nighttime Light Composite Data

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