An optimized combination prediction model for concrete dam deformation considering quantitative evaluation and hysteresis correction

Q Ren, M Li, L Song, H Liu - Advanced Engineering Informatics, 2020 - Elsevier
Certain degree of deformation is natural while dam operates and evolves. Due to the impact
of internal and external environment, dam deformation is highly nonlinear by nature. For …

Remote sensing of groundwater: current capabilities and future directions

KH Adams, JT Reager, P Rosen… - Water Resources …, 2022 - Wiley Online Library
Globally, groundwater represents a critical natural resource that is affected by changes in
natural supply and renewal, as well as by increasing human demand and consumption …

New insights into the 2020 Sardoba dam failure in Uzbekistan from Earth observation

R Xiao, M Jiang, Z Li, X He - … Journal of Applied Earth Observation and …, 2022 - Elsevier
Abstract On 1 May 2020, the Sardoba Reservoir in Uzbekistan breached its western wall,
and the uncontrolled release of water caused casualties, environmental damages and …

Monitoring deformations of infrastructure networks: A fully automated GIS integration and analysis of InSAR time-series

V Macchiarulo, P Milillo… - Structural Health …, 2022 - journals.sagepub.com
Ageing stock and extreme weather events pose a threat to the safety of infrastructure
networks. In most countries, funding allocated to infrastructure management is insufficient to …

[HTML][HTML] 雷达影像地表形变干涉测量的机遇, 挑战与展望

李振洪, 朱武, 余琛, 张勤, 张成龙, 刘振江, 张雪松… - 2022 - xb.chinasmp.com
随着合成孔径雷达(SAR) 卫星的不断发射, 合成孔径雷达干涉测量技术(interferometric synthetic
aperture radar, InSAR) 得到前所未有的发展机遇, 同时也面临诸多挑战. 本文首先简要介绍了 …

Satellite radar interferometry: Potential and limitations for structural assessment and monitoring

DA Talledo, A Miano, M Bonano, F Di Carlo… - Journal of Building …, 2022 - Elsevier
The present paper analyzes potential and limitations of multi-temporal Differential Synthetic
Aperture Radar Interferometry (DInSAR) techniques applied for the structural monitoring and …

A deep learning prediction model of DenseNet-LSTM for concrete gravity dam deformation based on feature selection

Y Zhang, W Zhong, Y Li, L Wen - Engineering Structures, 2023 - Elsevier
Dam deformation can comprehensively reflect the operational status of the dam. Thus, it is
significant to build a dam deformation prediction model with high accuracy for the operation …

DRLSTM: A dual-stage deep learning approach driven by raw monitoring data for dam displacement prediction

M Li, M Li, Q Ren, H Li, L Song - Advanced Engineering Informatics, 2022 - Elsevier
Dam displacement is an important indicator of the overall dam health status. Numerical
prediction of such displacement based on real-world monitoring data is a common practice …

Multi-temporal InSAR structural damage assessment: The London crossrail case study

P Milillo, G Giardina, MJ DeJong, D Perissin, G Milillo - Remote Sensing, 2018 - mdpi.com
Spaceborne multi-temporal interferometric synthetic aperture radar (MT-InSAR) is a
monitoring technique capable of extracting line of sight (LOS) cumulative surface …

Use of LSTM for sinkhole-related anomaly detection and classification of InSAR deformation time series

A Kulshrestha, L Chang, A Stein - IEEE Journal of Selected …, 2022 - ieeexplore.ieee.org
Sinkholes exhibit precursory deformation patterns. Such deformation patterns can be
studied using InSAR time-series analysis over constantly coherent scatterrers (CCS). In the …