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] Projections of land use/cover change and habitat quality in the model area of Yellow River delta by coupling land subsidence and sea level rise

Z Tang, R Ning, D Wang, X Tian, X Bi, J Ning, Z Zhou… - Ecological …, 2024 - Elsevier
Accurately assessing future land use/cover change (LUCC) and habitat quality (HQ) is vital
for ensuring sustainable use of coastal ecosystem services, but most studies ignore the …

InSAR-derived coastal subsidence reveals new inundation scenarios over the Yellow River Delta

P Li, G Wang, C Liang, H Wang… - IEEE Journal of Selected …, 2023 - ieeexplore.ieee.org
Coastal subsidence exacerbates relative sea level rise (SLR) and increases the risk of
coastal flooding. However, the contribution of local land subsidence (LLS) in the Yellow river …

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 …

High spatiotemporal resolution river networks map** on catchment scale using satellite remote sensing imagery and DEM data

P Li, Y Zhang, C Liang, H Wang… - Geophysical Research …, 2024 - Wiley Online Library
Characterizing and understanding the changes in the flow regimes of rivers have been
challenging. Existing global river network data sets are not updated and can only identify …

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 …

Forest landscape restoration is a key factor in recovering ecological quality

X Zhang, W Jia, D Li, F Wang, H Guo, Y Liang… - Journal of Cleaner …, 2025 - Elsevier
Ecological degradation and the decrease in ecological functions have long been central
challenges in the coordination of global environmental protection and sustainable …

Determination of long-term deformation behaviours with InSAR data at a dump site of an open-pit coal mine in Turkey

Y Gül, B Poyraz - Advances in Space Research, 2024 - Elsevier
Dump sites with broken overburden layers in surface mines have the risk of instability due to
their loose bulk structures. In this study, deformations at a dump site of the …

Interpretation and Attribution of Coastal Land Subsidence: An InSAR and Machine Learning Perspective

X Qiao, T Chu, E Krell, P Tissot… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
Subsidence, the downward vertical land motion (VLM), plays a pivotal role in contributing to
the risk of coastal flooding. Accurately estimating VLM and identifying its potential features …