Roadmap

AstroFetch is built in phases. The full phased plan, design rules, and non-goals live in AGENTS.md; this page is the short version.

Phase	Deliverable	Status
0	Scaffolding — package, CI, docs, target API	Done
1	STAC sampler MVP — bbox to coregistered (C, H, W) tensor	Done
2	Datasets and transforms — new data sources, grid-tile dataset, spatial splits, transforms	In progress
3	Release and community — PyPI, planetarypy affiliation, paper	Planned

Current phase: Phase 2. InstrumentDataset.read(bbox) fetches real COGs from the USGS ARD catalog, reprojects them onto a common geographic grid, applies scale/offset, mosaics overlapping items, and caches the result — the Phase 1 exit criterion. Phase 2 has delivered new data sources beyond STAC: the NASA PDS Orbital Data Explorer (ODEInstrumentDataset) now backs a wide roster of instruments — LROC NAC stereo DTM sites and region-of-interest mosaics, Mini-RF S-band radar, Diviner rock abundance and regolith temperature, WAC GLD100, TiO2, tiled global morphology, and 7-color reflectance, ShadowCam polar mosaics and DTMs, and the Clementine UVVIS and NIR basemaps — and fixed-URL mosaics (MosaicDataset) add the LRO WAC global mosaic and the LOLA and SLDEM2015 global DEMs, all behind the same sample-dict contract and & composition as the STAC-backed datasets. See Instrument datasets for the full list. An experimental, separately-contracted raw-granule path (astrofetch.moon.granules) also now exists for camera-geometry NAC/WAC strips and M3 radiance cubes; see Raw granules. Still open for Phase 2: GridTileDataset, spatial-autocorrelation-aware train/val/test splitting, transforms, and the WMS/WMTS rendered mode.