Liu, M.; Liu, S.; Ning, Y.; Zhu, Y.; Valbuena, R.; Guo, R.; Li, Y.; Tang, W.; Mo, D.; Rosa, I.M.D.;
et al. Co-Evolution of Emerging Multi-Cities: Rates, Patterns and Driving Policies Revealed by Continuous Change Detection and Classification of Landsat Data. Remote Sens. 2020, 12, 2905.
https://doi.org/10.3390/rs12182905
AMA Style
Liu M, Liu S, Ning Y, Zhu Y, Valbuena R, Guo R, Li Y, Tang W, Mo D, Rosa IMD,
et al. Co-Evolution of Emerging Multi-Cities: Rates, Patterns and Driving Policies Revealed by Continuous Change Detection and Classification of Landsat Data. Remote Sensing. 2020; 12(18):2905.
https://doi.org/10.3390/rs12182905
Chicago/Turabian Style
Liu, Maochou, Shuguang Liu, Ying Ning, Yu Zhu, Rubén Valbuena, Rui Guo, Yuanyuan Li, Wenxi Tang, Dengkui Mo, Isabel M.D. Rosa,
and et al. 2020. "Co-Evolution of Emerging Multi-Cities: Rates, Patterns and Driving Policies Revealed by Continuous Change Detection and Classification of Landsat Data" Remote Sensing 12, no. 18: 2905.
https://doi.org/10.3390/rs12182905
APA Style
Liu, M., Liu, S., Ning, Y., Zhu, Y., Valbuena, R., Guo, R., Li, Y., Tang, W., Mo, D., Rosa, I. M. D., Kutia, M., & Hu, W.
(2020). Co-Evolution of Emerging Multi-Cities: Rates, Patterns and Driving Policies Revealed by Continuous Change Detection and Classification of Landsat Data. Remote Sensing, 12(18), 2905.
https://doi.org/10.3390/rs12182905
