Integrating Explainable Machine Learning and LSTM with Multiple Factors for Mechanism Identification and Prediction of Land Deformation in the North Henan Plain
Henan Academy of Sciences · Ministry of Education · +4 more institutions
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Abstract
No abstract available for this paper.
Citation impact
4
total citations
- FWCI
- 185.36
- Percentile
- 99%
- References
- 38
Too recent for citation history.
Authors
10- JWJiabei Wang
Henan Academy of Sciences, Ministry of Education, State Key Laboratory of Remote Sensing Science
- JHJiyuan HuCorresponding
Henan Academy of Sciences, Ministry of Education, State Key Laboratory of Remote Sensing Science
- ZZZheng Zhou
Henan Academy of Sciences, Ministry of Education, State Key Laboratory of Remote Sensing Science
- JWJiayao Wang
Henan Academy of Sciences, Ministry of Education, State Key Laboratory of Remote Sensing Science
- JMJie Meng
Yellow River Institute of Hydraulic Research
Topics & keywords
Topics
Keywords
- Synthetic aperture radar
- Geohazard
- Subsidence
- Interferometric synthetic aperture radar
- Overburden
- Displacement (psychology)
- Hydrogeology
- Precipitation
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