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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] 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 …
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
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 …
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
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
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 …
High spatiotemporal resolution river networks map** on catchment scale using satellite remote sensing imagery and DEM data
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 …
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
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 …
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 …
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 …
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
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 …
the risk of coastal flooding. Accurately estimating VLM and identifying its potential features …