The desaturation method of DMSP/OLS nighttime light data based on vector data: taking the rapidly urbanized China as an example-Reference-Cited by-同舟云学术

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The desaturation method of DMSP/OLS nighttime light data based on vector data: taking the rapidly urbanized China as an example

Published:2018-10-30 Issue:3 Volume:33 Page:431-453
ISSN:1365-8816
Container-title:International Journal of Geographical Information Science
language:en
Short-container-title:International Journal of Geographical Information Science

Author:

Zheng Zihao¹²^ORCID,Chen Yingbiao¹^ORCID,Wu Zhifeng¹^ORCID,Ye Xinyue³,Guo Guanhua¹,Qian Qinglan¹

Affiliation:

1. School of Geographical Sciences, Guangzhou University, Guangzhou, China

2. Department of Land, Environment, Agriculture and Forestry, University of Padova, Padova, Italy

3. Urban Informatics & Spatial Computing Lab, Department of Informatics, New Jersey Institute of Technology, Newark, USA

Funder

National Natural Science Foundation of China

Natural Science Foundation of Guangdong Province

Publisher

Informa UK Limited

Subject

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

Link

https://www.tandfonline.com/doi/pdf/10.1080/13658816.2018.1538516

Reference54 articles.

1. DMSP/OLS night‐time light imagery for urban population estimates in the Brazilian Amazon

2. Using multi-source geospatial big data to identify the structure of polycentric cities

3. Coupling an Intercalibration of Radiance-Calibrated Nighttime Light Images and Land Use/Cover Data for Modeling and Analyzing the Distribution of GDP in Guangdong, China

4. Spatial characterization of electrical power consumption patterns over India using temporal DMSP‐OLS night‐time satellite data

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