Identification of illumination source types using nighttime light images from SDGSAT-1-Reference-Cited by-同舟云学术

Identification of illumination source types using nighttime light images from SDGSAT-1

Published:2023-12-21 Issue:1 Volume:17 Page:
ISSN:1753-8947
Container-title:International Journal of Digital Earth
language:en
Short-container-title:International Journal of Digital Earth

Author:

Yin Ziqi¹²^ORCID,Chen Fu³,Dou Changyong⁴⁵,Wu Mingquan¹²,Niu Zheng¹²,Wang Li¹,Xu Shiguang¹

Affiliation:

1. State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, People’s Republic of China

2. University of Chinese Academy of Sciences, Beijing, People’s Republic of China

3. China Remote Sensing Satellite Ground Station, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, People’s Republic of China

4. Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, People’s Republic of China

5. International Research Centre of Big Data for Sustainable Development Goals, Beijing, People’s Republic of China

Funder

National Key Research and Development Program of China

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences,Computer Science Applications,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/17538947.2023.2297013

Reference63 articles.

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4. Automated Extraction of Street Lights From JL1-3B Nighttime Light Data and Assessment of Their Solar Energy Potential

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