[HTML][HTML] Applications of satellite remote sensing of nighttime light observations: Advances, challenges, and perspectives

M Zhao, Y Zhou, X Li, W Cao, C He, B Yu, X Li… - Remote Sensing, 2019 - mdpi.com
Nighttime light observations from remote sensing provide us with a timely and spatially
explicit measure of human activities, and therefore enable a host of applications such as …

A systematic review of China's belt and road initiative: Implications for global supply chain management

M Thürer, I Tomašević, M Stevenson… - … Journal of Production …, 2020 - Taylor & Francis
China's Belt and Road Initiative (BRI) is one of the world's largest infrastructure projects, with
its potential political and economic impact being widely discussed since its inception in …

An extended time-series (2000–2018) of global NPP-VIIRS-like nighttime light data from a cross-sensor calibration

Z Chen, B Yu, C Yang, Y Zhou, X Qian… - Earth System …, 2020 - essd.copernicus.org
The nighttime light (NTL) satellite data have been widely used to investigate urbanization
process. The Defense Meteorological Satellite Program-Operational Linescan System …

Develo** improved time-series DMSP-OLS-like data (1992–2019) in China by integrating DMSP-OLS and SNPP-VIIRS

Y Wu, K Shi, Z Chen, S Liu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Defense Meteorological Satellite Program Operational Linescan System (DMSP-OLS) and
Suomi National Polar-orbiting Partnership Visible Infrared Imaging Radiometer Suite (SNPP …

Spatiotemporal patterns of industrial carbon emissions at the city level

L Chen, L Xu, Y Cai, Z Yang - Resources, conservation and recycling, 2021 - Elsevier
Research on the dynamic distribution characteristics of carbon emissions and their evolution
patterns is of importance to unify carbon reduction targets. This study aimed to measure the …

Quantitative evaluation of urban expansion using NPP-VIIRS nighttime light and landsat spectral data

Y Zheng, Y He, Q Zhou, H Wang - Sustainable Cities and Society, 2022 - Elsevier
Quantifying the evolution of urban expansion is of vital importance for optimizing land use
patterns and promoting sustainable urban development. This research constructed the …

Estimation of poverty using random forest regression with multi-source data: A case study in Bangladesh

X Zhao, B Yu, Y Liu, Z Chen, Q Li, C Wang, J Wu - Remote Sensing, 2019 - mdpi.com
Spatially explicit and reliable data on poverty is critical for both policy makers and
researchers. However, such data remain scarce particularly in develo** countries. Current …

Investment risk assessment of coal-fired power plants in countries along the Belt and Road initiative based on ANP-Entropy-TODIM method

J Yuan, X Li, C Xu, C Zhao, Y Liu - Energy, 2019 - Elsevier
Coal is an irreplaceable part of the world energy structure and the condition will not be
changed in the near future. Under the Belt and Road initiative, more and more Chinese …

Factors affecting changes of greenhouse gas emissions in Belt and Road countries

C Wang, Z Miao, X Chen, Y Cheng - Renewable and Sustainable Energy …, 2021 - Elsevier
Promoting the sustainable economic development along the “Belt and Road Initiative”(BRI)
requires to identify the driving force of total factor productivity (TFP) with the constrains of …

A high-resolution gridded dataset to assess electrification in sub-Saharan Africa

G Falchetta, S Pachauri, S Parkinson, E Byers - Scientific data, 2019 - nature.com
Spatially explicit data on electricity access and use are essential for effective policy-making
and infrastructure planning in low-income, data-scarce regions. We present and validate a 1 …