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.gitattributes

@@ -4,3 +4,8 @@ tai/shp/taihu_shp.shp filter=lfs diff=lfs merge=lfs -text
 hongze/split_index.csv filter=lfs diff=lfs merge=lfs -text
 chao/situ/chao.csv filter=lfs diff=lfs merge=lfs -text
 chao/split_index.csv filter=lfs diff=lfs merge=lfs -text
+chao/scenes_goci.tar filter=lfs diff=lfs merge=lfs -text
+hongze/scenes_goci.tar filter=lfs diff=lfs merge=lfs -text
+chao/scenes_sentinel.tar filter=lfs diff=lfs merge=lfs -text
+hongze/scenes_sentinel.tar filter=lfs diff=lfs merge=lfs -text
+tai/scenes_sentinel.tar filter=lfs diff=lfs merge=lfs -text

README.md

@@ -50,3 +50,14 @@ Dataset Datasheet appendix for full provenance, collection, and ethics.
 
 ## Citation
 > BloomField: a benchmark for whole-lake chlorophyll-*a* field reconstruction. *Under review.*
+
+## Raw per-scene rasters (tarballs)
+The `*_cache.npy` files already stack every scene for direct use by the code, so most users need only
+the caches. For provenance / custom re-gridding we also ship the individual per-scene `.npz` rasters as
+per-lake tarballs (Lake Tai GOCI scenes are cache-only):
+- `<lake>/scenes_sentinel.tar`, `<lake>/scenes_goci.tar`
+
+Extract inside the lake folder to restore `sentinel/scene_npz/` and `goci/full/scene_npz/`:
+```bash
+cd tai && tar -xf scenes_sentinel.tar
+```

chao/scenes_goci.tar

@@ -0,0 +1,3 @@
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+size 48967680

chao/scenes_sentinel.tar

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+oid sha256:32b5b2e32e0a759161e00bf450f4689218ccd2c9fefd1717984b751921d16d64
+size 64757760

hongze/scenes_goci.tar

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+oid sha256:a6a79b7ed6a4f22332de8bc35ea9fe4fe5145b242fab5d6a161730f72a85149a
+size 81592320

hongze/scenes_sentinel.tar

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+oid sha256:702d580fcc495ac0beccc0882e06c59b43486c1b1be91eb430ac1e016086f13c
+size 110499840

tai/scenes_sentinel.tar

@@ -0,0 +1,3 @@
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+oid sha256:ce0b8829640006ab001830966efb6404c8ef0ebd272a386f8c2335b21b589a8d
+size 204165120