Published February 20, 2025
| Version v1
Computational notebook
Open
SAR-LRA: A Synthetic Aperture Radar-Based Landslide Rapid Assessment Tool
Creators
-
1.
University of Cambridge Department of Earth Sciences
-
2.
University of Cambridge Department of Geography
-
3.
University of Padua
-
4.
State Key Laboratory of Geohazard Prevention and Geoenvironment Protection
-
5.
Centre Tecnologic de Telecomunicacions de Catalunya
- 6. British Geological Survey
Description
In this code, we introduce a practical, all-weather, day-night SAR-based Landslide Rapid Assessment tool (SAR-LRA) designed to run on Google Colaboratory. Utilizing Deep Neural Networks (DNN), this tool is tailored for landslide detection for earthquake-triggered multiple landslide events (MLEs).
The notebook downloads Sentinel-1 imagery and deploys pre-trained models in an Area of Interest manually designed by the User.
Files
SAR_LRA_Tool_V1_Google_Colaboratory.ipynb
Files
(646.5 kB)
| Name | Size | Download all |
|---|---|---|
|
md5:615432f6789f4f46e4ba57b1f3f4814b
|
646.5 kB | Preview Download |
Additional details
Related works
- Is supplement to
- https://github.com/lorenzonava96/SAR-and-DL-for-Landslide-Rapid-Assessment/tree/main (URL)
Software
- Programming language
- Python
- Development Status
- Active