Identify urban building functions with multisource data: a case study in Guangzhou, China-Reference-Cited by-同舟云学术

Identify urban building functions with multisource data: a case study in Guangzhou, China

Published:2022-03-07 Issue:10 Volume:36 Page:2060-2085
ISSN:1365-8816
Container-title:International Journal of Geographical Information Science
language:en
Short-container-title:International Journal of Geographical Information Science

Author:

Deng Yingbin¹,Chen Renrong²,Yang Ji¹,Li Yong¹,Jiang Hao¹,Liao Wenyue¹³,Sun Meiwei¹³

Affiliation:

1. Guangdong Open Laboratory of Geospatial Information Technology and Application, Key Lab of Guangdong for Utilization of Remote Sensing and Geographical Information System, Guangzhou Institute of Geography, Guangdong Academy of Sciences; Research Centre for Oceanic Remote Sensing Big Data Applications, Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou, China

2. School of Geography and Tourism, Jiaying University, Meizhou, China

3. College of Geographical Science, Harbin Normal University, Harbin, China

Funder

Key Special Project for Introduced Talents Team of Southern Marine Science and Engineering Guangdong Laboratory

National Natural Science Foundation of China

Guangdong Innovative and Entrepreneurial Research Team Program

Science and Technology Program of Guangzhou

GDAS Project of Science and Technology Development

Publisher

Informa UK Limited

Subject

Library and Information Sciences,Geography, Planning and Development,Information Systems