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InSAR and machine learning reveal new understanding of coastal subsidence risk in the Yellow River Delta, China
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 …
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)
Interferometric Synthetic Aperture (InSAR) time series measurements are widely used to
monitor a variety of processes including subsidence, landslides, and volcanic activity …
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 …
have happened, necessitating understanding the links between dietary transition, nutritional …
Exploring the InSAR deformation series using unsupervised learning in a built environment
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 …
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 …
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 …
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
Advanced statistics can enable the detailed characterization of ground deformation time
series, which is a fundamental step for thoroughly understanding the phenomena of land …
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
Multi-temporal Interferometric Synthetic Aperture Radar technique (MTInSAR) has emerged
as a valuable tool for measuring ground motion in a wide area. However, interpreting …
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 …
nonstationary features. The efficiency of most existing regressive prediction models …
Development of a Proof-of-Concept A-DInSAR-Based Monitoring Service for Land Subsidence
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 …
determines the need for systematic procedures to extract the information from this dataset …