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

Jinyang Li, Mingdong Zang, Nengxiong Xu, Gang Mei, Sen Yang. 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, September 2023. [doi]

@article{LiZXMY23,
  title = {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},
  author = {Jinyang Li and Mingdong Zang and Nengxiong Xu and Gang Mei and Sen Yang},
  year = {2023},
  month = {September},
  doi = {10.3390/rs15174203},
  url = {https://doi.org/10.3390/rs15174203},
  researchr = {https://researchr.org/publication/LiZXMY23},
  cites = {0},
  citedby = {0},
  journal = {Remote Sensing},
  volume = {15},
  number = {17},
  pages = {4203},
}