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Articles

Mapping geographical concentrations of economic activities in Europe using light at night (LAN) satellite data

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Pages 7706-7725 | Received 09 May 2014, Accepted 15 Jul 2014, Published online: 19 Nov 2014

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Vassilis Tselios, Demetris Stathakis & Ioannis Faraslis. (2020) Concentration of populations and economic activities, growth, and convergence in Europe using satellite-observed lighting. Geocarto International 35:14, pages 1527-1552.
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Preeya Mohan & Eric Strobl. (2017) The short-term economic impact of tropical Cyclone Pam: an analysis using VIIRS nightlight satellite imagery. International Journal of Remote Sensing 38:21, pages 5992-6006.
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Natalya A. Rybnikova & Boris A. Portnov. (2017) Estimating geographic concentrations of quaternary industries in Europe using Artificial Light-At-Night (ALAN) data. International Journal of Digital Earth 10:9, pages 861-878.
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Zongze Zhao, Xiaojie Tang, Cheng Wang, Gang Cheng, Chao Ma, Hongtao Wang & Bingke Sun. (2023) Analysis of the Spatial and Temporal Evolution of the GDP in Henan Province Based on Nighttime Light Data. Remote Sensing 15:3, pages 716.
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Yuanxi Ru, Xi Li & Wubetu Anley Belay. (2022) Tracking Spatiotemporal Patterns of Rwanda’s Electrification Using Multi-Temporal VIIRS Nighttime Light Imagery. Remote Sensing 14:17, pages 4397.
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John Gibson & Geua Boe-Gibson. (2021) Nighttime Lights and County-Level Economic Activity in the United States: 2001 to 2019. Remote Sensing 13:14, pages 2741.
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Andrey Mikhaylov, Anna Mikhaylova, Kamil Alsynbaev, Vitaliy Bryksin & Dmitry Hvaley. (2021) Remote-sensing technology in mapping socio-economic divergence of Europe. Bulletin of Geography. Socio-economic Series 52:52, pages 69-84.
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Bin Guo, Yi Bian, Dingming Zhang, Yi Su, Xiaoxia Wang, Bo Zhang, Yan Wang, Qiuji Chen, Yarui Wu & Pingping Luo. (2021) Estimating Socio-Economic Parameters via Machine Learning Methods Using Luojia1-01 Nighttime Light Remotely Sensed Images at Multiple Scales of China in 2018. IEEE Access 9, pages 34352-34365.
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Bing Zhou, Xiaoli Cai, Yunfei Bao & Jiaguo Li. 2021. 6th International Symposium of Space Optical Instruments and Applications. 6th International Symposium of Space Optical Instruments and Applications 73 83 .
Nataliya Rybnikova & Boris A. Portnov. (2020) Testing the generality of economic activity models estimated by merging night-time satellite images with socioeconomic data. Advances in Space Research 66:11, pages 2610-2620.
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Vassilis Tselios & Demetris Stathakis. (2018) Exploring regional and urban clusters and patterns in Europe using satellite observed lighting. Environment and Planning B: Urban Analytics and City Science 47:4, pages 553-568.
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Handong Liang, Zhongyang Guo, Jianping Wu & Zuoqi Chen. (2020) GDP spatialization in Ningbo City based on NPP/VIIRS night-time light and auxiliary data using random forest regression. Advances in Space Research 65:1, pages 481-493.
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Li, Liu, Chen & Sun. (2019) Assessing the Ability of Luojia 1-01 Imagery to Detect Feeble Nighttime Lights. Sensors 19:17, pages 3708.
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Caio Peixoto Chain, Antônio Carlos dos Santos, Luiz Gonzaga de CastroJúniorJúnior & José Willer do Prado. (2018) BIBLIOMETRIC ANALYSIS OF THE QUANTITATIVE METHODS APPLIED TO THE MEASUREMENT OF INDUSTRIAL CLUSTERS. Journal of Economic Surveys 33:1, pages 60-84.
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Nataliya A. Rybnikova & Boris A. Portnov. (2017) Remote identification of research and educational activities using spectral properties of nighttime light. ISPRS Journal of Photogrammetry and Remote Sensing 128, pages 212-222.
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