|
Author  |
Title |
Year |
Publication |
Volume |
Pages |
Links |
|
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 |
|
|
Liu, L.; Zhou, H.; Lan, M.; Wang, Z. |
Linking Luojia 1-01 nightlight imagery to urban crime |
2020 |
Applied Geography |
125 |
102267 |
|
|
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 |
|
|
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 |
|