Li, J.; Zang, M.; Xu, N.; Mei, G.; Yang, S.
An Interferometric-Synthetic-Aperture-Radar-Based Method for Predicting Long-Term Land Subsidence in Goafs through the Concatenation of Multiple Sources of Short-Term Monitoring Data. Remote Sens. 2023, 15, 4203.
https://doi.org/10.3390/rs15174203
AMA Style
Li J, Zang M, Xu N, Mei G, Yang S.
An Interferometric-Synthetic-Aperture-Radar-Based Method for Predicting Long-Term Land Subsidence in Goafs through the Concatenation of Multiple Sources of Short-Term Monitoring Data. Remote Sensing. 2023; 15(17):4203.
https://doi.org/10.3390/rs15174203
Chicago/Turabian Style
Li, Jinyang, Mingdong Zang, Nengxiong Xu, Gang Mei, and Sen Yang.
2023. "An Interferometric-Synthetic-Aperture-Radar-Based Method for Predicting Long-Term Land Subsidence in Goafs through the Concatenation of Multiple Sources of Short-Term Monitoring Data" Remote Sensing 15, no. 17: 4203.
https://doi.org/10.3390/rs15174203
APA Style
Li, J., Zang, M., Xu, N., Mei, G., & Yang, S.
(2023). An Interferometric-Synthetic-Aperture-Radar-Based Method for Predicting Long-Term Land Subsidence in Goafs through the Concatenation of Multiple Sources of Short-Term Monitoring Data. Remote Sensing, 15(17), 4203.
https://doi.org/10.3390/rs15174203