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README.md

@@ -15,8 +15,11 @@ tags:
   - sentinel-2
   - remote-sensing
   - river
+  - geoparquet
 size_categories:
   - 100K<n<1M
+modality:
+  - geospatial
 ---
 
 # EEA Waterbase Optics5 — Cleaned River Measurements (2015–2017)
@@ -42,6 +45,31 @@ Produced during the **11th CASSINI Hackathon – EU Space for Water**.
 
 ## Files
 
+### `station_river_bboxes.geoparquet`
+**Primary spatial file for model training.** One row per station matched to its nearest HydroRIVERS segment. The geometry is a ~5 km corridor polygon that follows the river shape — suitable as a Sentinel-2 query window with the station at the midpoint.
+
+Construction:
+1. Each station is snapped onto its nearest HydroRIVERS segment (max 5 km)
+2. All connected river geometry within 2.5 km of the snap point is merged into a continuous linestring
+3. A 5 km sub-segment centred on the snap point is extracted (2.5 km each direction)
+4. The segment is buffered 300 m each side → corridor polygon in WGS-84
+
+| Column | Description |
+|---|---|
+| `station_id` | Monitoring site identifier |
+| `lat`, `lon` | Original station coordinates (WGS84) |
+| `first_date` | Earliest measurement date in window |
+| `last_date` | Latest measurement date in window |
+| `n_measurements` | Total number of measurements |
+| `n_determinands` | Number of distinct Optics5 codes measured |
+| `HYRIV_ID` | Matched HydroRIVERS segment ID |
+| `MAIN_RIV` | HydroRIVERS main-river ID |
+| `snap_dist_m` | Distance from station to the river line (metres) |
+| `geometry` | Corridor polygon (Polygon, WGS84) following the river shape |
+| `bbox_west/south/east/north` | Envelope coordinates of the corridor for Sentinel Hub API calls |
+
+**4,742 stations** (15 dropped — farther than 5 km from any river)
+
 ### `measurements_optics5_long.parquet`
 Long-format table of all individual measurements. One row per (station, sampling date, determinand).
 
@@ -96,9 +124,10 @@ Audit table: number of measurements per station, year, and determinand code.
 
 ## Intended use
 
-Each training sample for a Sentinel-2 model is a `(station, date)` pair joined to the nearest cloud-free Sentinel-2 scene within a ±N day window. Separate models (or a multitask model with target masking) are trained per determinand — co-presence of all five codes on the same date is not required.
+Each training sample for a Sentinel-2 model is a `(station, date)` pair joined to the nearest cloud-free Sentinel-2 scene within a ±N day window. The corridor polygon in `station_river_bboxes.geoparquet` defines the spatial extent of the Sentinel-2 query — pass `bbox_west/south/east/north` directly to the Sentinel Hub Statistical API. Separate models (or a multitask model with target masking) are trained per determinand — co-presence of all five codes on the same date is not required.
 
 ## Source
 
-Derived from `cassini-team-todo/eea-waterbase` (mirror of EEA Waterbase WISE-4 v2018.1).
+Derived from `cassini-team-todo/eea-waterbase` (mirror of EEA Waterbase WISE-4 v2018.1).  
+River network from [`cassini-team-todo/hydro-rivers-europe`](https://huggingface.co/datasets/cassini-team-todo/hydro-rivers-europe) (HydroRIVERS v1.0).  
 Original data © European Environment Agency, reused under the [EEA reuse policy](https://www.eea.europa.eu/en/legal-notice).