# GFM Notebooks

These notebooks cover the full Global Flood Monitoring (GFM) workflow — from data discovery and download through large-scale analysis with Dask and evaluation against forecast models.

```{toctree}
:hidden:

Download Data <gfm-download>
Filter Data <gfm-filter>
Plot Flood Scene <gfm-plot>
Flood Extent (Local) <gfm-flood-extent-local>
Flood Extent with Dask <gfm-flood-extent>
Save to Object Store <gfm-object-storage>
Evaluation vs GloFAS <gfm-glofas>
```

## Notebooks

| Notebook | Description |
|---|---|
| [Download Data](gfm-download) | Discover and download GFM flood data via the STAC API |
| [Filter Data](gfm-filter) | Use the STAC Filter extension to query data by Equi7Tile |
| [Plot Flood Scene](gfm-plot) | Visualise a flood scene with an OpenStreetMap basemap |
| [Flood Extent (Local)](gfm-flood-extent-local) | Compute maximum flood extent locally with STAC and xarray |
| [Flood Extent with Dask](gfm-flood-extent) | Scale the same computation across the eodc Dask cluster |
| [Save to Object Store](gfm-object-storage) | Run Dask processing and save results to cloud object storage |
| [Evaluation vs GloFAS](gfm-glofas) | Compare GFM observed flood extent against GloFAS/EFAS forecasts |