Forecasting China’s GDP at the pixel level using nighttime lights time series and population images-Reference-Cited by-同舟云学术

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Forecasting China’s GDP at the pixel level using nighttime lights time series and population images

Published:2017-01-05 Issue:3 Volume:54 Page:407-425
ISSN:1548-1603
Container-title:GIScience & Remote Sensing
language:en
Short-container-title:GIScience & Remote Sensing

Author:

Zhao Naizhuo¹²,Liu Ying¹²,Cao Guofeng¹²,Samson Eric L.³,Zhang Jingqi⁴

Affiliation:

1. Center for Geospatial Technology, Texas Tech University, Lubbock, TX 79409, USA

2. Department of Geoscience, Texas Tech University, Lubbock, TX 79409, USA

3. Mayan Esteem Project, Farmington, CT 06032, USA

4. School of Humanity and Law, Northeast University, Shenyang, Liaoning 110169, China

Funder

the National Social Science Foundation of China

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/15481603.2016.1276705

Reference50 articles.

1. Analysis of urban growth and estimating population density using satellite images of nighttime lights and land-use and population data

2. Development of a 2009 Stable Lights Product using DMSP-OLS data

3. Explaining Seasonal Fluctuations of Measles in Niger Using Nighttime Lights Imagery

4. Comparison of CO2 emission scenarios and mitigation opportunities in China's five sectors in 2020

5. Challenges facing China's unbalanced urbanization strategy

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