InSAR and machine learning reveal new understanding of coastal subsidence risk in the Yellow River Delta, China

G Wang, P Li, Z Li, J Liu, Y Zhang, H Wang - Science of The Total …, 2024 - Elsevier
Coastal subsidence is a geological disaster that has devastating consequences. However,
an accurate understanding of its risks involves more than simply assessing the amount or …

[HTML][HTML] A clustering approach for the analysis of InSAR Time Series: Application to the Bandung Basin (Indonesia)

M Rygus, A Novellino, E Hussain, F Syafiudin… - Remote Sensing, 2023 - mdpi.com
Interferometric Synthetic Aperture (InSAR) time series measurements are widely used to
monitor a variety of processes including subsidence, landslides, and volcanic activity …

Dietary patterns and transitions in China: Implications for climate impacts across different life stages

Y Su, C Liang, X Ma, S **ong, X Lu - Environmental Impact Assessment …, 2024 - Elsevier
As China undergoes rapid socio-economic transformation, changes in food consumption
have happened, necessitating understanding the links between dietary transition, nutritional …

Exploring the InSAR deformation series using unsupervised learning in a built environment

M Yang, M Li, C Huang, R Zhang, R Liu - Remote Sensing, 2024 - search.proquest.com
As a city undergoes large-scale construction and expansion, there is an urgent need to
monitor the stability of the ground and infrastructure. The time-series InSAR technique is an …

A novel machine learning and deep learning semi-supervised approach for automatic detection of InSAR-based deformation hotspots

A Tiwari, M Shirzaei - International Journal of Applied Earth Observation …, 2024 - Elsevier
Over the past two decades, Interferometric synthetic aperture radar (InSAR) has been
invaluable for studying earth surface deformation and related effects. Deformation maps …

Advanced Prediction of Landslide Deformation through Temporal Fusion Transformer and Multivariate Time Series Clustering of InSAR: Insights from the Badui …

Y Yang, J Dou, A Merghadi, W Liang… - … on Geoscience and …, 2024 - ieeexplore.ieee.org
This study focuses on the Badui region in eastern Tibet, an area with complex topography
featuring numerous valleys, ravines, and frequent geological hazards. Given the economic …

[HTML][HTML] Statistical and Independent Component Analysis of Sentinel-1 InSAR Time Series to Assess Land Subsidence Trends

CA Farías, M Lenardón Sánchez, R Bonì, F Cigna - Remote Sensing, 2024 - mdpi.com
Advanced statistics can enable the detailed characterization of ground deformation time
series, which is a fundamental step for thoroughly understanding the phenomena of land …

[HTML][HTML] Trend classification of InSAR displacement time series using SAE–CNN

M Li, H Wu, M Yang, C Huang, BH Tang - Remote Sensing, 2023 - mdpi.com
Multi-temporal Interferometric Synthetic Aperture Radar technique (MTInSAR) has emerged
as a valuable tool for measuring ground motion in a wide area. However, interpreting …

Saltwater intrusion early warning in Pearl River delta based on the temporal clustering method

P Weng, Y Tian, H Zhou, Y Zheng, Y Jiang - Journal of Environmental …, 2024 - Elsevier
Forecasting of saltwater intrusion in estuaries is challenging due to its nonlinear and
nonstationary features. The efficiency of most existing regressive prediction models …

Development of a Proof-of-Concept A-DInSAR-Based Monitoring Service for Land Subsidence

M Righini, R Bonì, S Sapio, I Gatti, M Salvadore… - Remote Sensing, 2024 - mdpi.com
The increasing availability of SAR images and processing results over wide areas
determines the need for systematic procedures to extract the information from this dataset …