| Author |
Title |
Year  |
Publication |
Volume |
Pages |
| Zheng, H.; Gui, Z.; Wu, H.; Song, A. |
Developing Non-Negative Spatial Autoregressive Models for Better Exploring Relation Between Nighttime Light Images and Land Use Types |
2020 |
Remote Sensing |
12 |
798 |
| Sun, Y.; Wang, S.; Wang, Y. |
Estimating local-scale urban heat island intensity using nighttime light satellite imageries |
2020 |
Sustainable Cities and Society |
57 |
in press |
| Min, M.; Zheng, J.; Zhang, P.; Hu, X.; Chen, L.; Li, X.; Huang, Y.; Zhu, L. |
A low-light radiative transfer model for satellite observations of moonlight and earth surface light at night |
2020 |
Journal of Quantitative Spectroscopy and Radiative Transfer |
in press |
106954 |
| Danesh Yazdi, M.; Kuang, Z.; Dimakopoulou, K.; Barratt, B.; Suel, E.; Amini, H.; Lyapustin, A.; Katsouyanni, K.; Schwartz, J. |
Predicting Fine Particulate Matter (PM2.5) in the Greater London Area: An Ensemble Approach using Machine Learning Methods |
2020 |
Remote Sensing |
12 |
914 |
| Guk, E.; Levin, N. |
Analyzing spatial variability in night-time lights using a high spatial resolution color Jilin-1 image – Jerusalem as a case study |
2020 |
ISPRS Journal of Photogrammetry and Remote Sensing |
163 |
121-136 |
