| |
Author |
Title |
Year |
Publication  |
Volume |
Pages |
Links |
|
|
Shi, K.; Chen, Y.; Yu, B.; Xu, T.; Yang, C.; Li, L.; Huang, C.; Chen, Z.; Liu, R.; Wu, J. |
Detecting spatiotemporal dynamics of global electric power consumption using DMSP-OLS nighttime stable light data |
2016 |
Applied Energy |
184 |
450-463 |
|
|
|
Lu, H.; Liu, G. |
Spatial effects of carbon dioxide emissions from residential energy consumption: A county-level study using enhanced nocturnal lighting |
2014 |
Applied Energy |
131 |
297-306 |
|
|
|
Zhou, N.; Hubacek, K.; Roberts, M. |
Analysis of spatial patterns of urban growth across South Asia using DMSP-OLS nighttime lights data |
2015 |
Applied Geography |
63 |
292-303 |
|
|
|
Levin, N.; Ali, S.; Crandall, D. |
Utilizing remote sensing and big data to quantify conflict intensity: The Arab Spring as a case study |
2018 |
Applied Geography |
94 |
1-17 |
|
|
|
Tan, M.; Li, X.; Li, S.; Xin, L.; Wang, X.; Li, Q.; Li, W.; Li, Y.; Xiang, W. |
Modeling population density based on nighttime light images and land use data in China |
2018 |
Applied Geography |
90 |
239-247 |
|
