sarkarghya/wind-and-solar-candidate-olmoearth-segmentation

OlmoEarth v1.2-ready renewable energy dataset

Derived cook 20260830T191500Z from pinned source 2c551f58998cd25554ea679148b21a9c701b51db. The branch uses no train/validation/test split. Every accepted row is tagged all.

• —Accepted imagery rows: 12649
• —Quality-unavailable rows: 4
• —Release mode: partial with documented quality-unavailable exclusions
• —Clearest-available quality fallbacks: 4
• —Sentinel-2 L2A: uint16 [12,1,128,128]
• —Band order: B02,B03,B04,B08,B05,B06,B07,B8A,B11,B12,B01,B09
• —Grid: 128 x 128 at 10 m in local UTM
• —Harmonization: metadata-driven BOA offset and quantification; do not divide by 10,000 before future OlmoEarth normalization
• —S2 selection: at least 98% AOI coverage and at most 2% AOI cloud plus shadow when available; otherwise the clearest available candidate is retained and marked as a fallback
• —Categorical ignore: 255
• —Continuous targets: float32 with explicit uint8 validity masks
• —Compact lossless arrays: assets/arrays/*.parquet containing NumPy payloads
• —Viewer rows and PNG previews: data/all/*.parquet
• —rslearn materialization: python loaders/materialize_rslearn.py . /tmp/dataset
• —rslearn read-only verification: python loaders/verify_rslearn.py /tmp/dataset --report /tmp/readiness.json

Polygons are 2021 suitability scenarios, not existing projects; imagery lag is explicit.

No model was constructed or run while creating or validating this dataset.