A novel approach for permafrost deformation prediction by integrating insar and multi-factor permafrost deformation LSTM (MPD-LSTM)
1
China university of Geosciences
2
China earthquake administration
Publication type: Journal Article
Publication date: 2025-02-13
scimago Q2
wos Q3
SJR: 0.676
CiteScore: 5.9
Impact factor: 2.6
ISSN: 01431161, 13665901
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Zhang Z. et al. A novel approach for permafrost deformation prediction by integrating insar and multi-factor permafrost deformation LSTM (MPD-LSTM) // International Journal of Remote Sensing. 2025. Vol. 46. No. 7. pp. 2930-2952.
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Zhang Z., Wu Y., Guo J., Wang J. A novel approach for permafrost deformation prediction by integrating insar and multi-factor permafrost deformation LSTM (MPD-LSTM) // International Journal of Remote Sensing. 2025. Vol. 46. No. 7. pp. 2930-2952.
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TY - JOUR
DO - 10.1080/01431161.2025.2462198
UR - https://www.tandfonline.com/doi/full/10.1080/01431161.2025.2462198
TI - A novel approach for permafrost deformation prediction by integrating insar and multi-factor permafrost deformation LSTM (MPD-LSTM)
T2 - International Journal of Remote Sensing
AU - Zhang, Zhengjia
AU - Wu, Yao
AU - Guo, Jing
AU - Wang, Jing
PY - 2025
DA - 2025/02/13
PB - Taylor & Francis
SP - 2930-2952
IS - 7
VL - 46
SN - 0143-1161
SN - 1366-5901
ER -
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@article{2025_Zhang,
author = {Zhengjia Zhang and Yao Wu and Jing Guo and Jing Wang},
title = {A novel approach for permafrost deformation prediction by integrating insar and multi-factor permafrost deformation LSTM (MPD-LSTM)},
journal = {International Journal of Remote Sensing},
year = {2025},
volume = {46},
publisher = {Taylor & Francis},
month = {feb},
url = {https://www.tandfonline.com/doi/full/10.1080/01431161.2025.2462198},
number = {7},
pages = {2930--2952},
doi = {10.1080/01431161.2025.2462198}
}
Cite this
MLA
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Zhang, Zhengjia, et al. “A novel approach for permafrost deformation prediction by integrating insar and multi-factor permafrost deformation LSTM (MPD-LSTM).” International Journal of Remote Sensing, vol. 46, no. 7, Feb. 2025, pp. 2930-2952. https://www.tandfonline.com/doi/full/10.1080/01431161.2025.2462198.