Zhao, W.; Dong, Q.; Chen, Z.; Feng, T.; Wang, D.; Jiang, L.; Du, S.; Zhang, X.; Meng, D.; Bian, M.;
et al. Weighted Information Models for the Quantitative Prediction and Evaluation of the Geothermal Anomaly Area in the Plateau: A Case Study of the Sichuan–Tibet Railway. Remote Sens. 2021, 13, 1606.
https://doi.org/10.3390/rs13091606
AMA Style
Zhao W, Dong Q, Chen Z, Feng T, Wang D, Jiang L, Du S, Zhang X, Meng D, Bian M,
et al. Weighted Information Models for the Quantitative Prediction and Evaluation of the Geothermal Anomaly Area in the Plateau: A Case Study of the Sichuan–Tibet Railway. Remote Sensing. 2021; 13(9):1606.
https://doi.org/10.3390/rs13091606
Chicago/Turabian Style
Zhao, Wenbo, Qing Dong, Zhe Chen, Tao Feng, Dong Wang, Liangwen Jiang, Shihui Du, Xiaoyu Zhang, Deli Meng, Min Bian,
and et al. 2021. "Weighted Information Models for the Quantitative Prediction and Evaluation of the Geothermal Anomaly Area in the Plateau: A Case Study of the Sichuan–Tibet Railway" Remote Sensing 13, no. 9: 1606.
https://doi.org/10.3390/rs13091606
APA Style
Zhao, W., Dong, Q., Chen, Z., Feng, T., Wang, D., Jiang, L., Du, S., Zhang, X., Meng, D., Bian, M., & Chen, J.
(2021). Weighted Information Models for the Quantitative Prediction and Evaluation of the Geothermal Anomaly Area in the Plateau: A Case Study of the Sichuan–Tibet Railway. Remote Sensing, 13(9), 1606.
https://doi.org/10.3390/rs13091606
