SEARCH · Search NASA
Results for “landslide”
Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.
Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.
Cincinnati & Covington Urban Development II: Assessing Flooding and Landslide Susceptibility along the Ohio-Kentucky Border
Explore the source record for details and available documents.
New Insight into Post-seismic Landslide Evolution Processes in the Tropics
Explore the source record for details and available documents.
Assessing Flooding and Landslide Susceptibility along the Ohio-Kentucky Border
Explore the source record for details and available documents.
Linking Floods and Landslides, Critical Infrastructure, Modeling, Exposure
No abstract provided
Repeat Surface Topography and Vegetation (STV) Observations for Landslide Applications
No abstract provided
Landslide identification using synthetic aperture radar change detection on the Google Earth Engine
No abstract provided
Inferring the Subsurface Geometry and Strength of Slow-Moving Landslides
No abstract provided
Landslide Activity in California, USA From ALOS-2 Stripmap Deformation Maps
No abstract provided
Human Settlement Pressure Drives Slow‐Moving Landslide Exposure
Explore the source record for details and available documents.
Assessing the impact of climate change on rainfall-triggered landslides: a case study in California
Explore the source record for details and available documents.
Spatial patterns of landslides in a modest topography of the Ozark and Ouachita Mountains, USA
Explore the source record for details and available documents.
Satellite interferometry for regional assessment of landslide hazard to pipelines in northeastern British Columbia, Canada
Explore the source record for details and available documents.
Deep Learning to Locate Seafloor Landslides in High Resolution Bathymetry
AGU Fall Meeting 2020 (Conference), Virtual, December 1- 17, 2020
Geohazard Analysis of Seafloor Landslide Potential for Infrastructure Protection
Esri User Conference 2021, Virtual, July 11-15, 2021
Represent precipitation-induced geological hazards in Earth system models using artificial intelligence
Precipitation-induced geological hazards, such as debris flow, landslides, mudflow and rockfalls (hereafter referred to as landslides), pose serious threats to public safety in many areas through the world. As residential properties and infrastructure in the US have increasingly expanded into landslide-prone areas and the drivers of landslides (e.g., wildfires and hurricanes) are predicted to intensify under climate warming, losses and fatalities from landslides are likely to increase in the future. Although our understanding of geoenvironmental factors and mechanisms contributing to landslides has greatly improved, only moderate progress has been made in predicting landslides out of well-studied watersheds. Furthermore, explicitly representing various landslide-related processes in Earth system models (ESMs), from the buckling of local bearing elements in granular materials, to frictional sliding between grains, formation of microcracks in the soil matrix, rupture of capillary bridges, or breakage of plant roots3 is still very unlikely within the next decade, even with the help of exascale computers.