Upload folder using huggingface_hub

README.md

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+---
+configs:
+  - config_name: default
+    data_files:
+      - split: train
+        path: "data/index/train.parquet"
+      - split: validation
+        path: "data/index/validation.parquet"
+      - split: test
+        path: "data/index/test.parquet"
+license: cc-by-4.0
+task_categories:
+  - image-segmentation
+  - other
+tags:
+  - earth-observation
+  - remote-sensing
+  - sentinel-2
+  - sentinel-1
+  - aerial-imagery
+  - orthophoto
+  - geospatial
+  - tree-inventory
+  - webdataset
+  - Bavaria
+size_categories:
+  - n<1K
+---
+
+# Bavaria EO Benchmark (12-patch subset with DOP20)
+
+A **development subset** of the Bavaria EO Benchmark: **12 patches** (9 train, 2 validation, 1 test) sampled from the full grid, including **DOP20** true-colour aerial orthophotos at **20 cm** ground sampling distance alongside the usual **10 m** Sentinel-1/2 stacks and tree-structure labels.
+
+This release is **not** intended as a training corpus at scale; it mirrors the same WebDataset + Parquet index + Croissant layout as the larger release so pipelines can be tested end-to-end.
+
+## Distribution format
+
+```
+data/
+  schema.json              <- tensor member definitions (dtype, shape, band names)
+  index/
+    train.parquet          <- 9 patches   (metadata + locators only)
+    validation.parquet     <- 2 patches
+    test.parquet           <- 1 patch
+  shards/
+    train-000000.tar       <- ~1.1 GB (all train samples + DOP20)
+    validation-000000.tar  <- ~242 MB
+    test-000000.tar        <- ~121 MB
+metadata.json              <- Croissant 1.0 JSON-LD
+```
+
+Total footprint is about **1.5 GB**, dominated by DOP20 (~123 MB raw per patch).
+
+## Per-sample members inside each `.tar`
+
+Each patch uses a `sample_key` (6-digit zero-padded `zarr_idx`). Members share that prefix:
+
+| Member | Shape | dtype | Description |
+|--------|-------|-------|-------------|
+| `{key}.s2_*.f32` | 128×128×10 | float32 | Sentinel-2 seasonal composites (4 seasons) |
+| `{key}.s1_*.f32` | 128×128×2 | float32 | Sentinel-1 seasonal composites (VV, VH) |
+| `{key}.tree_species.u8` | 128×128 | uint8 | Tree species class IDs |
+| `{key}.*_height*.f32`, `{key}.tree_*.f32` | 128×128 | float32 | Label rasters (see schema.json) |
+| `{key}.dop20_rgb.u8` | 6400×6400×3 | uint8 | DOP20 RGB orthophoto (20 cm) |
+| `{key}.json` | — | JSON | Patch id, centre coordinates, split |
+
+Decode raw buffers with `numpy.frombuffer(..., dtype=...).reshape(...)` as in [`data/schema.json`](data/schema.json).
+
+## Croissant
+
+[`metadata.json`](metadata.json) conforms to [Croissant 1.0](http://mlcommons.org/croissant/1.0) and references `data/schema.json`, the index Parquets, and the shard `FileSet` globs.
+
+## Reproducing this export
+
+From the project root (paths inside the container use `/data/output` because `docker-compose` mounts `./data` there):
+
+```bash
+docker run --rm \
+  -v "$(pwd)/data:/data/output" \
+  -v "$(pwd)/scripts:/scripts" \
+  bavaria-eo-benchmark-create-subset-zarr \
+  env ZARR_PATH=/data/output/zarr/bavaria_eo_benchmark_subset.zarr \
+      INDEX_PATH=/data/output/zarr/patch_index_subset.parquet \
+      OUTPUT_DIR=/data/output/hf_release_subset \
+      SHARD_SIZE_MB=2000 \
+      INCLUDE_DOP20=1 \
+  python3 /scripts/export_to_hf_webdataset.py
+```
+
+After any change to indexed files, recompute `sha256` values in `metadata.json` for the corresponding `FileObject` entries.
+
+## Upload to the Hugging Face Hub
+
+Install the Hub CLI (new command is `hf`; `huggingface-cli` is deprecated):
+
+```bash
+pip install -U "huggingface_hub[cli]"
+hf auth login
+```
+
+Upload the release folder (dataset repo):
+
+```bash
+hf upload <your-org>/<repo-name> ./data/hf_release_subset . --repo-type dataset
+```
+
+For multi-GB trees, if suggested:
+
+```bash
+hf upload-large-folder <your-org>/<repo-name> ./data/hf_release_subset . --repo-type dataset
+```
+
+On servers, set `HF_TOKEN` and skip interactive login: `export HF_TOKEN=hf_...` then run `hf upload` as above.

data/index/test.parquet

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+size 12751

data/index/train.parquet

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data/index/validation.parquet

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+oid sha256:fa5b0ae02c966e73a94a4b2eb67ef3a968f12d15ccbcdc484fc86d58906a2cbb
+size 12906

data/schema.json

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+{
+  "description": "Raw little-endian tensor members inside each WebDataset .tar shard. Each sample is identified by a zero-padded decimal key. Reshape bytes using numpy: np.frombuffer(data, dtype=dtype).reshape(shape).",
+  "members": {
+    "s2_spring.f32": {
+      "dtype": "float32",
+      "shape": [
+        128,
+        128,
+        10
+      ],
+      "band_names": [
+        "B2",
+        "B3",
+        "B4",
+        "B8",
+        "B5",
+        "B6",
+        "B7",
+        "B8A",
+        "B11",
+        "B12"
+      ],
+      "description": "Sentinel-2 L2A 10-band seasonal median composite (spring 2025)",
+      "units": "DN (divide by 10000 to get reflectance [0,1])"
+    },
+    "s2_summer.f32": {
+      "dtype": "float32",
+      "shape": [
+        128,
+        128,
+        10
+      ],
+      "band_names": [
+        "B2",
+        "B3",
+        "B4",
+        "B8",
+        "B5",
+        "B6",
+        "B7",
+        "B8A",
+        "B11",
+        "B12"
+      ],
+      "description": "Sentinel-2 L2A 10-band seasonal median composite (summer 2025)",
+      "units": "DN (divide by 10000 to get reflectance [0,1])"
+    },
+    "s2_autumn.f32": {
+      "dtype": "float32",
+      "shape": [
+        128,
+        128,
+        10
+      ],
+      "band_names": [
+        "B2",
+        "B3",
+        "B4",
+        "B8",
+        "B5",
+        "B6",
+        "B7",
+        "B8A",
+        "B11",
+        "B12"
+      ],
+      "description": "Sentinel-2 L2A 10-band seasonal median composite (autumn 2025)",
+      "units": "DN (divide by 10000 to get reflectance [0,1])"
+    },
+    "s2_winter.f32": {
+      "dtype": "float32",
+      "shape": [
+        128,
+        128,
+        10
+      ],
+      "band_names": [
+        "B2",
+        "B3",
+        "B4",
+        "B8",
+        "B5",
+        "B6",
+        "B7",
+        "B8A",
+        "B11",
+        "B12"
+      ],
+      "description": "Sentinel-2 L2A 10-band seasonal median composite (winter 2025)",
+      "units": "DN (divide by 10000 to get reflectance [0,1])"
+    },
+    "s1_spring.f32": {
+      "dtype": "float32",
+      "shape": [
+        128,
+        128,
+        2
+      ],
+      "band_names": [
+        "VV",
+        "VH"
+      ],
+      "description": "Sentinel-1 GRD linear gamma-0 (spring 2025)",
+      "units": "linear gamma-0 (not dB); typical range 0-1"
+    },
+    "s1_summer.f32": {
+      "dtype": "float32",
+      "shape": [
+        128,
+        128,
+        2
+      ],
+      "band_names": [
+        "VV",
+        "VH"
+      ],
+      "description": "Sentinel-1 GRD linear gamma-0 (summer 2025)",
+      "units": "linear gamma-0 (not dB); typical range 0-1"
+    },
+    "s1_autumn.f32": {
+      "dtype": "float32",
+      "shape": [
+        128,
+        128,
+        2
+      ],
+      "band_names": [
+        "VV",
+        "VH"
+      ],
+      "description": "Sentinel-1 GRD linear gamma-0 (autumn 2025)",
+      "units": "linear gamma-0 (not dB); typical range 0-1"
+    },
+    "s1_winter.f32": {
+      "dtype": "float32",
+      "shape": [
+        128,
+        128,
+        2
+      ],
+      "band_names": [
+        "VV",
+        "VH"
+      ],
+      "description": "Sentinel-1 GRD linear gamma-0 (winter 2025)",
+      "units": "linear gamma-0 (not dB); typical range 0-1"
+    },
+    "tree_species.u8": {
+      "dtype": "uint8",
+      "shape": [
+        128,
+        128
+      ],
+      "band_names": null,
+      "description": "Tree species classification class IDs (0 = background/no-data)"
+    },
+    "mean_height.f32": {
+      "dtype": "float32",
+      "shape": [
+        128,
+        128
+      ],
+      "description": "Mean tree height per 10 m cell (m); NaN = no inventory trees"
+    },
+    "median_height.f32": {
+      "dtype": "float32",
+      "shape": [
+        128,
+        128
+      ],
+      "description": "Median tree height per 10 m cell (m)"
+    },
+    "height_variance.f32": {
+      "dtype": "float32",
+      "shape": [
+        128,
+        128
+      ],
+      "description": "Variance of tree height per 10 m cell"
+    },
+    "tree_count.f32": {
+      "dtype": "float32",
+      "shape": [
+        128,
+        128
+      ],
+      "description": "Number of inventory trees per 10 m cell"
+    },
+    "tree_density.f32": {
+      "dtype": "float32",
+      "shape": [
+        128,
+        128
+      ],
+      "description": "Sum of tree_count in 3x3 neighbourhood"
+    },
+    "tree_count_variance.f32": {
+      "dtype": "float32",
+      "shape": [
+        128,
+        128
+      ],
+      "description": "Spatial variance of tree count per cell"
+    },
+    "dop20_rgb.u8": {
+      "dtype": "uint8",
+      "shape": [
+        6400,
+        6400,
+        3
+      ],
+      "band_names": [
+        "R",
+        "G",
+        "B"
+      ],
+      "description": "DOP20 true-colour aerial orthophoto at 20 cm GSD. Pixel extent is 6400\u00d76400 = 1280 m \u00d7 1280 m (co-registered with the 128\u00d7128 10 m Sentinel grid). Present only in datasets exported with INCLUDE_DOP20=1.",
+      "units": "uint8 [0, 255]",
+      "optional": true
+    }
+  },
+  "meta_member": ".json",
+  "crs": "EPSG:25832",
+  "patch_size_px": 128,
+  "resolution_m": 10,
+  "dop20_patch_size_px": 6400,
+  "dop20_resolution_m": 0.2
+}

data/shards/test-000000.tar

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+size 126453760

data/shards/train-000000.tar

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+size 1138001920

data/shards/validation-000000.tar

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metadata.json

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+{
+  "@context": {
+    "@language": "en",
+    "@vocab": "https://schema.org/",
+    "citeAs": "cr:citeAs",
+    "column": "cr:column",
+    "conformsTo": "dct:conformsTo",
+    "cr": "http://mlcommons.org/croissant/",
+    "rai": "http://mlcommons.org/croissant/RAI/",
+    "data": {
+      "@id": "cr:data",
+      "@type": "@json"
+    },
+    "dataType": {
+      "@id": "cr:dataType",
+      "@type": "@vocab"
+    },
+    "dct": "http://purl.org/dc/terms/",
+    "examples": {
+      "@id": "cr:examples",
+      "@type": "@json"
+    },
+    "extract": "cr:extract",
+    "field": "cr:field",
+    "fileProperty": "cr:fileProperty",
+    "fileObject": "cr:fileObject",
+    "fileSet": "cr:fileSet",
+    "format": "cr:format",
+    "includes": "cr:includes",
+    "isArray": "cr:isArray",
+    "arrayShape": "cr:arrayShape",
+    "isLiveDataset": "cr:isLiveDataset",
+    "jsonPath": "cr:jsonPath",
+    "key": "cr:key",
+    "md5": "cr:md5",
+    "parentField": "cr:parentField",
+    "path": "cr:path",
+    "recordSet": "cr:recordSet",
+    "references": "cr:references",
+    "regex": "cr:regex",
+    "repeated": "cr:repeated",
+    "replace": "cr:replace",
+    "sc": "https://schema.org/",
+    "separator": "cr:separator",
+    "source": "cr:source",
+    "subField": "cr:subField",
+    "transform": "cr:transform",
+    "wd": "https://www.wikidata.org/wiki/"
+  },
+  "@type": "sc:Dataset",
+  "conformsTo": "http://mlcommons.org/croissant/1.0",
+  "name": "Bavaria EO Benchmark (12-patch subset with DOP20)",
+  "description": "A tiny stratified subset (12 patches) of the Bavaria EO Benchmark grid, exported for development and smoke tests. Each patch includes Sentinel-2 seasonal composites (10 bands, 4 seasons), Sentinel-1 GRD seasonal composites (VV+VH, 4 seasons), tree-species raster, tree-structure labels at 10 m, and co-registered DOP20 true-colour aerial orthophotos at 20 cm GSD (6400×6400×3 uint8 per patch). Splits: 9 train, 2 validation, 1 test. Data is distributed as WebDataset .tar shards plus slim Parquet index files; tensor layouts are defined in data/schema.json.",
+  "url": "https://github.com/your-org/Bavaria-EO-Benchmark",
+  "version": "0.2.0-subset-dop20",
+  "license": "https://creativecommons.org/licenses/by/4.0/",
+  "keywords": [
+    "earth-observation",
+    "remote-sensing",
+    "sentinel-2",
+    "sentinel-1",
+    "aerial-imagery",
+    "DOP20",
+    "orthophoto",
+    "tree-inventory",
+    "Bavaria",
+    "geospatial",
+    "webdataset"
+  ],
+  "creator": [
+    {
+      "@type": "Organization",
+      "name": "Bavaria EO Benchmark Authors"
+    }
+  ],
+  "distribution": [
+    {
+      "@type": "cr:FileObject",
+      "@id": "schema-json",
+      "name": "schema.json",
+      "description": "Machine-readable tensor schema: maps each .tar member suffix to dtype, shape, band names, and description.",
+      "contentUrl": "data/schema.json",
+      "encodingFormat": "application/json",
+      "sha256": "34c8f651e74511606de93ff844ade1595faaf590aea1d9bcf3bf52c38a50b3b9"
+    },
+    {
+      "@type": "cr:FileObject",
+      "@id": "index-train",
+      "name": "train.parquet",
+      "description": "Slim patch index for the train split (9 patches). Columns: patch metadata + sample_key + shard_relpath.",
+      "contentUrl": "data/index/train.parquet",
+      "encodingFormat": "application/x-parquet",
+      "sha256": "2f851ae9e22b694302a38087ec1da3effe30b80690d62667146059a3e0147df9"
+    },
+    {
+      "@type": "cr:FileObject",
+      "@id": "index-validation",
+      "name": "validation.parquet",
+      "description": "Slim patch index for the validation split (2 patches).",
+      "contentUrl": "data/index/validation.parquet",
+      "encodingFormat": "application/x-parquet",
+      "sha256": "fa5b0ae02c966e73a94a4b2eb67ef3a968f12d15ccbcdc484fc86d58906a2cbb"
+    },
+    {
+      "@type": "cr:FileObject",
+      "@id": "index-test",
+      "name": "test.parquet",
+      "description": "Slim patch index for the test split (1 patch).",
+      "contentUrl": "data/index/test.parquet",
+      "encodingFormat": "application/x-parquet",
+      "sha256": "786e089f76c3a4ba90973a46b5bc802c1457842b7444c50aa841e78a3b448145"
+    },
+    {
+      "@type": "cr:FileSet",
+      "@id": "train-shards",
+      "name": "train shards",
+      "description": "WebDataset .tar shard for the train split (1 shard, ~1.1 GB). Each sample key is a 6-digit zero-padded zarr_idx. Members documented in schema.json.",
+      "encodingFormat": "application/x-tar",
+      "includes": "data/shards/train-*.tar"
+    },
+    {
+      "@type": "cr:FileSet",
+      "@id": "validation-shards",
+      "name": "validation shards",
+      "description": "WebDataset .tar shard for the validation split (1 shard, ~242 MB).",
+      "encodingFormat": "application/x-tar",
+      "includes": "data/shards/validation-*.tar"
+    },
+    {
+      "@type": "cr:FileSet",
+      "@id": "test-shards",
+      "name": "test shards",
+      "description": "WebDataset .tar shard for the test split (1 shard, ~121 MB).",
+      "encodingFormat": "application/x-tar",
+      "includes": "data/shards/test-*.tar"
+    }
+  ],
+  "recordSet": [
+    {
+      "@type": "cr:RecordSet",
+      "@id": "patches",
+      "name": "patches",
+      "description": "One record per patch. Columns are patch metadata and locators (sample_key, shard_relpath) pointing to WebDataset samples in the tar shards. Tensor data is not stored in the Parquet rows; decode binary members per data/schema.json.",
+      "key": {"@id": "patches/patch_id"},
+      "field": [
+        {
+          "@type": "cr:Field",
+          "@id": "patches/patch_id",
+          "name": "patch_id",
+          "description": "Unique integer patch identifier from the full-Bavaria grid.",
+          "dataType": "sc:Integer",
+          "source": {"fileObject": {"@id": "index-train"}, "extract": {"column": "patch_id"}}
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "patches/center_x",
+          "name": "center_x",
+          "description": "Patch centre easting in EPSG:25832 (metres).",
+          "dataType": "sc:Float",
+          "source": {"fileObject": {"@id": "index-train"}, "extract": {"column": "center_x"}}
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "patches/center_y",
+          "name": "center_y",
+          "description": "Patch centre northing in EPSG:25832 (metres).",
+          "dataType": "sc:Float",
+          "source": {"fileObject": {"@id": "index-train"}, "extract": {"column": "center_y"}}
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "patches/row_start",
+          "name": "row_start",
+          "description": "Top row index of the patch in the master grid (pixels).",
+          "dataType": "sc:Integer",
+          "source": {"fileObject": {"@id": "index-train"}, "extract": {"column": "row_start"}}
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "patches/row_end",
+          "name": "row_end",
+          "description": "Exclusive bottom row index of the patch in the master grid.",
+          "dataType": "sc:Integer",
+          "source": {"fileObject": {"@id": "index-train"}, "extract": {"column": "row_end"}}
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "patches/col_start",
+          "name": "col_start",
+          "description": "Left column index of the patch in the master grid (pixels).",
+          "dataType": "sc:Integer",
+          "source": {"fileObject": {"@id": "index-train"}, "extract": {"column": "col_start"}}
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "patches/col_end",
+          "name": "col_end",
+          "description": "Exclusive right column index of the patch in the master grid.",
+          "dataType": "sc:Integer",
+          "source": {"fileObject": {"@id": "index-train"}, "extract": {"column": "col_end"}}
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "patches/valid_pixel_pct",
+          "name": "valid_pixel_pct",
+          "description": "Fraction of non-NaN pixels in Sentinel-2 bands for this patch.",
+          "dataType": "sc:Float",
+          "source": {"fileObject": {"@id": "index-train"}, "extract": {"column": "valid_pixel_pct"}}
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "patches/tree_pixel_pct",
+          "name": "tree_pixel_pct",
+          "description": "Fraction of pixels in this patch with at least one inventory tree (0-1).",
+          "dataType": "sc:Float",
+          "source": {"fileObject": {"@id": "index-train"}, "extract": {"column": "tree_pixel_pct"}}
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "patches/mean_tree_count",
+          "name": "mean_tree_count",
+          "description": "Mean number of inventory trees per non-zero pixel in this patch.",
+          "dataType": "sc:Float",
+          "source": {"fileObject": {"@id": "index-train"}, "extract": {"column": "mean_tree_count"}}
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "patches/mean_tree_count_variance",
+          "name": "mean_tree_count_variance",
+          "description": "Mean tree-count variance statistic for this patch.",
+          "dataType": "sc:Float",
+          "source": {"fileObject": {"@id": "index-train"}, "extract": {"column": "mean_tree_count_variance"}}
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "patches/split",
+          "name": "split",
+          "description": "Dataset split: train, val, or test.",
+          "dataType": "sc:Text",
+          "source": {"fileObject": {"@id": "index-train"}, "extract": {"column": "split"}}
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "patches/block_col",
+          "name": "block_col",
+          "description": "Block column index for spatial train/val/test assignment.",
+          "dataType": "sc:Integer",
+          "source": {"fileObject": {"@id": "index-train"}, "extract": {"column": "block_col"}}
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "patches/block_row",
+          "name": "block_row",
+          "description": "Block row index for spatial train/val/test assignment.",
+          "dataType": "sc:Integer",
+          "source": {"fileObject": {"@id": "index-train"}, "extract": {"column": "block_row"}}
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "patches/block_id",
+          "name": "block_id",
+          "description": "Geographic block ID used for spatial train/val/test assignment.",
+          "dataType": "sc:Integer",
+          "source": {"fileObject": {"@id": "index-train"}, "extract": {"column": "block_id"}}
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "patches/distance_to_nearest_test_km",
+          "name": "distance_to_nearest_test_km",
+          "description": "Distance from patch centre to nearest test block (km).",
+          "dataType": "sc:Float",
+          "source": {"fileObject": {"@id": "index-train"}, "extract": {"column": "distance_to_nearest_test_km"}}
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "patches/buffered",
+          "name": "buffered",
+          "description": "Whether the patch lies in a buffer zone around test blocks.",
+          "dataType": "sc:Boolean",
+          "source": {"fileObject": {"@id": "index-train"}, "extract": {"column": "buffered"}}
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "patches/in_bavaria",
+          "name": "in_bavaria",
+          "description": "True if the patch centre falls within the official Bavaria boundary.",
+          "dataType": "sc:Boolean",
+          "source": {"fileObject": {"@id": "index-train"}, "extract": {"column": "in_bavaria"}}
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "patches/zarr_idx",
+          "name": "zarr_idx",
+          "description": "Row index in the source Zarr store (0-based); equals the integer value of sample_key.",
+          "dataType": "sc:Integer",
+          "source": {"fileObject": {"@id": "index-train"}, "extract": {"column": "zarr_idx"}}
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "patches/sample_key",
+          "name": "sample_key",
+          "description": "WebDataset sample key: 6-digit zero-padded decimal equal to zarr_idx.",
+          "dataType": "sc:Text",
+          "source": {"fileObject": {"@id": "index-train"}, "extract": {"column": "sample_key"}}
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "patches/shard_relpath",
+          "name": "shard_relpath",
+          "description": "Relative path from the dataset root to the .tar shard containing this sample.",
+          "dataType": "sc:Text",
+          "source": {"fileObject": {"@id": "index-train"}, "extract": {"column": "shard_relpath"}}
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "patches/s2_spring",
+          "name": "s2_spring",
+          "description": "Sentinel-2 L2A spring composite. 10 bands. Stored as {sample_key}.s2_spring.f32 (raw float32 LE, shape 128×128×10).",
+          "dataType": "sc:Float",
+          "isArray": true,
+          "arrayShape": "128,128,10"
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "patches/s2_summer",
+          "name": "s2_summer",
+          "description": "Sentinel-2 L2A summer composite. Stored as {sample_key}.s2_summer.f32.",
+          "dataType": "sc:Float",
+          "isArray": true,
+          "arrayShape": "128,128,10"
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "patches/s2_autumn",
+          "name": "s2_autumn",
+          "description": "Sentinel-2 L2A autumn composite. Stored as {sample_key}.s2_autumn.f32.",
+          "dataType": "sc:Float",
+          "isArray": true,
+          "arrayShape": "128,128,10"
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "patches/s2_winter",
+          "name": "s2_winter",
+          "description": "Sentinel-2 L2A winter composite. Stored as {sample_key}.s2_winter.f32.",
+          "dataType": "sc:Float",
+          "isArray": true,
+          "arrayShape": "128,128,10"
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "patches/s1_spring",
+          "name": "s1_spring",
+          "description": "Sentinel-1 GRD spring composite (VV, VH). Stored as {sample_key}.s1_spring.f32.",
+          "dataType": "sc:Float",
+          "isArray": true,
+          "arrayShape": "128,128,2"
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "patches/s1_summer",
+          "name": "s1_summer",
+          "description": "Sentinel-1 GRD summer composite. Stored as {sample_key}.s1_summer.f32.",
+          "dataType": "sc:Float",
+          "isArray": true,
+          "arrayShape": "128,128,2"
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "patches/s1_autumn",
+          "name": "s1_autumn",
+          "description": "Sentinel-1 GRD autumn composite. Stored as {sample_key}.s1_autumn.f32.",
+          "dataType": "sc:Float",
+          "isArray": true,
+          "arrayShape": "128,128,2"
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "patches/s1_winter",
+          "name": "s1_winter",
+          "description": "Sentinel-1 GRD winter composite. Stored as {sample_key}.s1_winter.f32.",
+          "dataType": "sc:Float",
+          "isArray": true,
+          "arrayShape": "128,128,2"
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "patches/tree_species",
+          "name": "tree_species",
+          "description": "Tree species classification. Stored as {sample_key}.tree_species.u8 (uint8, shape 128×128).",
+          "dataType": "sc:Integer",
+          "isArray": true,
+          "arrayShape": "128,128"
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "patches/mean_height_arr",
+          "name": "mean_height_arr",
+          "description": "Mean tree height per 10 m pixel (m). Stored as {sample_key}.mean_height.f32.",
+          "dataType": "sc:Float",
+          "isArray": true,
+          "arrayShape": "128,128"
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "patches/median_height_arr",
+          "name": "median_height_arr",
+          "description": "Median tree height per 10 m pixel (m). Stored as {sample_key}.median_height.f32.",
+          "dataType": "sc:Float",
+          "isArray": true,
+          "arrayShape": "128,128"
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "patches/height_variance_arr",
+          "name": "height_variance_arr",
+          "description": "Height variance per pixel. Stored as {sample_key}.height_variance.f32.",
+          "dataType": "sc:Float",
+          "isArray": true,
+          "arrayShape": "128,128"
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "patches/tree_count_arr",
+          "name": "tree_count_arr",
+          "description": "Inventory tree count per 10 m pixel. Stored as {sample_key}.tree_count.f32.",
+          "dataType": "sc:Float",
+          "isArray": true,
+          "arrayShape": "128,128"
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "patches/tree_density_arr",
+          "name": "tree_density_arr",
+          "description": "Tree density (3×3 neighbourhood). Stored as {sample_key}.tree_density.f32.",
+          "dataType": "sc:Float",
+          "isArray": true,
+          "arrayShape": "128,128"
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "patches/tree_count_variance_arr",
+          "name": "tree_count_variance_arr",
+          "description": "Tree-count variance per pixel. Stored as {sample_key}.tree_count_variance.f32.",
+          "dataType": "sc:Float",
+          "isArray": true,
+          "arrayShape": "128,128"
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "patches/dop20_rgb",
+          "name": "dop20_rgb",
+          "description": "DOP20 true-colour aerial orthophoto at 20 cm GSD, co-registered with the 10 m stack. Stored as {sample_key}.dop20_rgb.u8 (raw uint8 LE, shape 6400×6400×3, channels R,G,B).",
+          "dataType": "sc:Integer",
+          "isArray": true,
+          "arrayShape": "6400,6400,3"
+        }
+      ]
+    }
+  ]
+}