HAL (France)
open access
Recent satellite-based radar and optical monitoring of the activity of retrogressive slow-moving landslides in Nepal during monsoon
The steep Himalayan slopes are highly susceptible to landslides, primarily triggered by earthquakes and intense monsoon precipitation. Along the southern flank of the Himalayas, a specific type of landslide affects old, destabilized hillslopes characterized by intense internal fracturing and prone t
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Design of a Cost-Effective IoT-Edge AI Framework for Real-Time Landslide Prediction in Shimla, Himachal Pradesh#20934
- Design of a Cost-Effective IoT-Edge AI Framework for Real-Time Landslide Prediction in Shimla, Himachal Pradesh#20933
- Graphical determination of coefficients of cohesion and friction for cross-section through landslide "A" along Turk Street, Lone Mountain, San Francisco: Supplement 8 from "Mechanics of landslides" (Thesis)#1169889
- Prediction of changes in landslide rate induced by rainfalls: from the use of a black box model to a 1D mechanical model#417910
- Assessing the Impact of Strong Ground Motion Intensity Measures on Earthquake-induced Landslide Susceptibility in the Indian Himalayan Region Using Machine Learning#686964
Record · ID 1415162
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive