Predicting surface subsidence in large-scale mining areas based on time-series InSAR and the IRIME-LSTM model

CEHN Lanlan, FAN Yongchao, XIAO Haiping, WAN Junhui, CHEN Lei

Remote Sensing for Natural Resources ›› 2025, Vol. 37 ›› Issue (3) : 245-252.

PDF(3751 KB)
EN中文
PDF(3751 KB)
Remote Sensing for Natural Resources ›› 2025, Vol. 37 ›› Issue (3) : 245-252. DOI: 10.6046/zrzyyg.2024048

Predicting surface subsidence in large-scale mining areas based on time-series InSAR and the IRIME-LSTM model

    {{javascript:window.custom_author_en_index=0;}}
  • {{article.zuoZhe_EN}}
Author information +
History +

HeighLight

{{article.keyPoints_en}}

Abstract

{{article.zhaiyao_en}}

Key words

QR code of this article

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations
{{article.zuoZheEn_L}}. {{article.title_en}}[J]. {{journal.qiKanMingCheng_EN}}, 2025, 37(3): 245-252 https://doi.org/10.6046/zrzyyg.2024048

References

List( Publishing order | Descend order by publishing year | Descend order by cited within ) Chart analysis

References

{{article.reference}}

Funding

RIGHTS & PERMISSIONS

{{article.copyrightStatement_en}}
{{article.copyrightLicense_en}}
PDF(3751 KB)

Accesses

Citation

Detail
Sections
Recommended

/

〈 〉