ONFIRE: A monthly gridded burned area database of national wildland fire data
First gridded burned area database from national wildfire records across Australia, Canada, Chile, Europe, and the US on a common 1° grid spanning decades.
doi.org
At a glance
- Region
- Europe
- Coverage
- Europe & Mediterranean
- Access
- Free
- Category
- Research
- Last updated
- 2024
What's inside
- Hydrological Data
What you can do with it
Typical work that data of this type supports.
- 01
Design flows
Estimate 1-in-50 and 1-in-100 year floods for bridges, culverts and spillways.
Because it has: Hydrological Data
- 02
Low flows
Set environmental flows and check what is left in the river in a dry year.
- 03
Model calibration
Calibrate and test catchment models against observed flow.
Where AI adds value
Ideas for machine learning and AI agents built on this kind of data.
- 01
Flow forecasting
Train LSTM-style models on past records to forecast river levels and flow days ahead.
- 02
Ungauged basins
Combine with catchment data to estimate flow where there is no gauge.
- 03
Automatic QC
Flag gauge errors, shifts and gaps before they reach a report.
Machine access and documentation
Data paper
ONFIRE: A monthly gridded burned area database of national wildland fire data
Scientific Data 2024
Read the paperRelated water data
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