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README.md

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+---
+license: cc-by-4.0
+task_categories:
+- image-feature-extraction
+tags:
+- remote-sensing
+- sar
+- optical
+- multimodal
+- contrastive-learning
+- sentinel-1
+- landsat
+size_categories:
+- 1M<n<10M
+---
+
+# VIS–SAR Satellite Dataset
+
+Spatially- and temporally-aligned **visible (optical) ↔ SAR** satellite image patches
+for cross-modal representation learning (CLIP-style SAR↔visible alignment).
+
+## Contents
+
+- **~3.68M paired patches** (this is a snapshot of an in-progress 10M build).
+- **`shards/`** — WebDataset `.tar` shards. Each sample key `K` has three members:
+  - `K.vis.npy` — visible/optical, **`uint8 [3, 224, 224]`** (3 bands)
+  - `K.sar.npy` — SAR, **`uint8 [2, 224, 224]`** (VV, VH)
+  - `K.json` — per-sample metadata (AOI, biome, region, lat/lon, acquisition times, CRS, transform, SAR scaling, cloud cover, Δt hours)
+- **`index.parquet`** — random-access offset index, one row per sample:
+  `key, shard, vis_offset, vis_size, sar_offset, sar_size, ground_tile_id, aoi_id, biome, region`.
+  A worker can `seek`+read a single sample without scanning the shard.
+- **`manifests/`** — per-shard metadata sidecars. **`manifest.parquet`** — consolidated metadata.
+
+## Decoding (uint8 → physical)
+
+Values are quantized from normalized ranges to `uint8` (4× smaller than float32, retrieval-neutral):
+
+- **Visible**: physical reflectance clipped to `[0, 30000]` → `[0,1]` → `uint8`. Decode: `x/255.0` gives normalized [0,1].
+- **SAR**: linear amplitude → dB, clipped to `[-40, 5]` → `[0,1]` → `uint8`. Decode: `x/255.0` gives normalized [0,1]; `dB = x/255*45 - 40`.
+
+## Training
+
+Directly consumable by the multi-modal CLIP training pipeline: point it at the
+shard directory and the offset index —
+
+```
+--shards_dir  <download>/shards
+--index_path  <download>/index.parquet
+```
+
+The loader (`tar_dataset`) auto-detects the `uint8` dtype and rescales to `[0,1]`
+on read (no re-normalization needed). Use `ground_tile_id` for **leak-free
+train/val splits** (group by tile so the same ground location never spans splits).
+
+## Notes
+
+- Patches are 224×224 at a common spatial grid (VIS and SAR resampled to the same grid).
+- SAR penetrates cloud/night, so VIS↔SAR pairs are matched within a Δt tolerance (see `dt_hours` in metadata).

index.parquet

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