FTW Global — Field Prediction Probabilities (Zarr)

Per-pixel class probabilities from the PRUE model (wherobots/prue-pt2), run over the FTW global Sentinel-2 feature mosaics, as a single cloud-native Zarr V3 datacube. Part of Fields of the World; accompanying paper: https://aka.ms/ftw-global-paper.

The prediction Zarr opened in xarray (xr.open_zarr) — dimensions, bands, and chunking.

What's here

A single store: …/predictions/zarr/alpha/global.zarr, with dimensions (time, band, y, x):

• variables — float32 softmax probability per class, shape (2, 3, 1566049, 4007517), chunked (1, 3, 8192, 8192), NaN fill. CRS EPSG:4326 (WGS84), CF-1.8.
• Shares the exact grid of the features/zarr mosaic, so features and predictions are directly stackable.
• The vectors (field-boundary polygons) and confidence (raster) collections are derived from these probabilities.

Status — not yet web-viewable

This is a GeoZarr-style store (CF-1.8 plus the emerging Zarr proj: / spatial: geo-conventions), but it does not yet implement multiscales / overviews, so it cannot be served as map tiles yet. That work is in progress. For now, consume it analytically with xarray/Zarr.

Using the data

Features and predictions can be opened side-by-side (same grid) to inspect inputs vs. outputs.

License

CC-BY-4.0. Produced by the Taylor Geospatial Institute and the Microsoft AI for Good Research Lab.