Inventory of shallow landslides triggered by extreme precipitation in July 2023 in Beijing
15,383 rainfall-induced shallow landslides triggered by a single extreme precipitation event across 3,250 km² of mountainous Beijing, mapped from satellite imagery.
doi.org
At a glance
- Region
- Global
- Coverage
- Global
- Access
- Free
- Category
- Research
- Last updated
- 2024
What's inside
- Precipitation
- Remote Sensing
Terms explained
What you can do with it
Typical work that data of this type supports.
- 01
Design storms
Build rainfall intensity-duration-frequency curves for drainage design.
Because it has: Precipitation
- 02
Model input
Drive hydrological, crop and urban drainage models.
- 03
No-gauge areas
Monitor places with no ground stations.
Because it has: Remote Sensing
Where AI adds value
Ideas for machine learning and AI agents built on this kind of data.
- 01
Downscaling
Turn coarse rainfall grids into field or ward scale estimates.
- 02
Gauge + satellite fusion
Correct satellite rainfall with gauges using machine learning.
- 03
Segmentation
Map water, crops and land use pixel by pixel with deep learning.
Machine access and documentation
Data paper
Inventory of shallow landslides triggered by extreme precipitation in July 2023 in Beijing
Scientific Data 2024
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