Recent Satellite-Based Radar And Optical Monitoring Of The Activity Of Retrogressive Slow-Moving Landslides In Nepal During Monsoon
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https://doi.org/10.1016/j.geomorph.2026.110561 <-- shared paper
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https://doi.org/10.1016/j.geomorph.2014.06.021 <-- shared 2014 paper
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https://doi.org/10.1007/s11069-025-07242-y <-- shared 2025 paper
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H/T @florian Leder | PhD student in the Geological Remote Sensing group, University of Potsdam
“🛰️ [The authors] integrate high-resolution optical and radar remote sensing data to characterize the dynamics of three retrogressive, slow-moving landslides in central Nepal. By combining DSM differencing, optical and SAR amplitude pixel-tracking, we present a comprehensive view of their 3D surface displacement fields and internal kinematics. The high-temporal-resolution time series reveal non-linear responses to groundwater level changes during monsoon.
HIGHLIGHTS:
• High-resolution pixel-tracking time series reveal non-uniform behaviors
• Triggering role of the incision of the central gully in panel destabilization
• Landslide displacements coincide with maximum water table elevations...”
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“HIGHLIGHTS
• Three slow-moving retrogressive landslides in Nepal have been investigated.
• High-resolution pixel-tracking time series reveal non-uniform behaviors.
• Triggering role of the incision of the central gully in panel destabilization.
• Landslide displacements coincide with maximum water table elevations..."
#Retrogressive #slowmoving #landslide #massmovement #engineeringgeology #geology #risk #hazard #pixeltracking #SARimages #Pléiades #DSM #Nepal #earthobservation #RemoteSensing #Nepal #Himalaya #satellite #earthobservation #spatialanalysis #spatiotemporal #GIS #spatial #mapping #water #hydrology #monsoon #hydrography #SAR #groundwater #model #modeling
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