A depth information-based method to enhance rainfall-induced landslide deformation area identification

C Yuan, Q Li, W Nie, C Ye - Measurement, 2023 - Elsevier
Accurately recognizing landslide deformation regions is important for understanding the
mechanisms of landslides and predicting landslide disasters. Using slopes in Dayu County …

Investigating the ERA5-Based PWV Products and Identifying the Monsoon Active and Break Spells with Dense GNSS Sites in Guangxi, China

W Liu, L Zhang, S Xiong, L Huang, S Xie, L Liu - Remote Sensing, 2023 - mdpi.com
Precipitable water vapor (PWV) with high precision and high temporal resolution estimated
by Global Navigation Satellite System (GNSS) is widely used in atmospheric research and …

A Landslide Displacement Prediction Model Based on the ICEEMDAN Method and the TCN–BiLSTM Combined Neural Network

Q Lin, Z Yang, J Huang, J Deng, L Chen, Y Zhang - Water, 2023 - mdpi.com
Influenced by autochthonous geological conditions and external environmental changes,
the evolution of landslides is mostly nonlinear. This article proposes a combined neural …

The full-field displacement intelligent measurement of retaining structures using UAV and 3D reconstruction

X Zhou, Q Zhu, Q Zhang, Y Du - Measurement, 2024 - Elsevier
The displacement of retaining structures can provide an analytical basis for assessing its
working condition. To address the shortcomings of conventional measurement techniques …

CORS station for synergistic monitoring of multivariate surface parameters in expansive soils

X Chen, S Zhang, Y Fang, B Wang, N Liu, N An… - Advances in Space …, 2024 - Elsevier
Expansive soils cause frequent surface deformation due to their expansion and contraction,
which is a serious engineering hazard, and long-term subsidence monitoring is a …

Creating a big data source of landslide deformation stages: New thoughts on identifying displacement warning thresholds

K Wang, S Xie, S Zhang, L Zhu, J Ma, D Liu… - Journal of Asian Earth …, 2024 - Elsevier
The determination of displacement warning thresholds is a difficult and crucial task for
landslide early warning, as it requires a deep understanding of displacement monitoring …

Accelerometer-assisted computer vision data fusion framework for structural dynamic displacement reconstruction

Y Niu, Z Li, J Li, B Sun - Measurement, 2024 - Elsevier
Accurate displacement measurement provides crucial information for evaluating the
structural health condition. It is important to note that both direct and indirect displacement …

High-rate bridge displacement monitoring with low-rate virtual reference station data

X Qu, X Ding, W Yu, X Li, YL Xu - GPS Solutions, 2025 - Springer
We present a new Global Navigation Satellite Systems (GNSS) positioning approach that
utilizes low-rate Virtual Reference Station (VRS) data to achieve high-rate displacement …

An integer ambiguity resolution method based on baseline vector predictions in landslide monitoring

Z Bai, G Huang, Q Zhang, C Jing, D Wang - Measurement, 2024 - Elsevier
Accurate integer ambiguity resolution (IAR) is pivotal for high-precision and high-reliability
Global Navigation Satellite Systems (GNSS) positioning. However, traditional IAR …

TerraSAR-X and GNSS Data for Deformation Detection and Mechanism Analysis of a Deep Excavation Channel Section of the China South–North Water-Diversion …

Q Hu, Y Kou, J Liu, W Liu, J Yang, S Li, P He, X Liu… - Remote Sensing, 2023 - mdpi.com
Due to expansive soils and high slopes, the deep excavated channel section of the China
South–North Water-Diversion Middle-Route Project has a certain risk of landslide disaster …