Remote sensing-based extension of GRDC discharge time series
Monthly discharge time series extension for 3,377 inactive GRDC stations using stochastic mapping of legacy gauge data and remote sensing observations, with uncertainty estimates.
doi.org
At a glance
- Region
- Global
- Coverage
- Global
- Access
- Free
- Category
- Research
- Last updated
- 2024
What's inside
- Remote Sensing
- River Data
What you can do with it
Typical work that data of this type supports.
- 01
No-gauge areas
Monitor places with no ground stations.
Because it has: Remote Sensing
- 02
Long records
Use consistent records going back decades.
- 03
Design flows
Estimate 1-in-50 and 1-in-100 year floods for bridges, culverts and spillways.
Where AI adds value
Ideas for machine learning and AI agents built on this kind of data.
- 01
Segmentation
Map water, crops and land use pixel by pixel with deep learning.
- 02
Data fusion
Blend satellite and ground data into one better estimate.
- 03
Flow forecasting
Train LSTM-style models on past records to forecast river levels and flow days ahead.
Machine access and documentation
Data paper
Remote sensing-based extension of GRDC discharge time series
Scientific Data 2024
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