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Agribound v0.1.3: Query Published FTW Polygons by AOI

Agribound v0.1.3 adds a data-access helper for the published Fields of The World (FTW) global field-boundary polygons. Instead of running FTW inference end-to-end, you can now pull pre-computed FTW predictions for any area of interest with a single function call -- backed by a PyArrow GeoParquet reader against the public Source Cooperative dataset.

This is agribound's second community contribution from Jeremy Rapp at the Department of Earth and Environmental Sciences, Michigan State University -- following his USGS NAIP Plus contribution in v0.1.2.

Introducing Agribound: Unified Field Boundary Delineation from Satellite Imagery

We are excited to announce the public release of agribound, a Python package that unifies seven complementary approaches to agricultural field boundary delineation into a single, reproducible pipeline. Whether you are working with 1 m NAIP imagery over U.S. croplands or 10 m Sentinel-2 composites anywhere in the world, agribound lets you go from raw satellite data to clean, vectorized field boundary polygons in a single function call.

Agribound field boundaries over Lea County, NM
Agribound-delineated field boundaries over Lea County, New Mexico (DINOv3 fine-tuned + SAM2 on NAIP). Image credit: Jayden Atkin, DRI.