Datasets:
File size: 5,456 Bytes
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"description": "Geographically-tiled TreeUQ dataset. Each tile directory contains core.tar (Sentinel-2/1, species, labels) and optionally dop20.tar (20 cm aerial RGB). Members are raw little-endian tensors; decode with numpy.frombuffer(data, dtype=dtype).reshape(shape).",
"layout": "tiled",
"tile_size_km": 10.0,
"tile_dir_pattern": "data/tiles/{geographic_tile}/",
"core_tar": "core.tar",
"dop20_tar": "dop20.tar",
"manifest": "manifest.json",
"core_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
],
"description": "Tree species class IDs: 0 Beech, 1 Douglas fir, 2 Fir, 3 Larch, 4 Oak, 5 Other deciduous, 6 Pine, 7 Spruce; 11 = background/no-data. Class 0 is Beech, not nodata."
},
"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 3\u00d73 neighbourhood"
},
"tree_count_variance.f32": {
"dtype": "float32",
"shape": [
128,
128
],
"description": "Spatial variance of tree count per cell"
}
},
"dop20_members": {
"dop20_rgb.u8": {
"dtype": "uint8",
"shape": [
6400,
6400,
3
],
"band_names": [
"R",
"G",
"B"
],
"description": "DOP20 true-colour aerial orthophoto at 20 cm GSD. Co-registered with the 128\u00d7128 10 m Sentinel patch (6400\u00d76400 px = 1280 m \u00d7 1280 m). Only present when dop20_available=True for the patch.",
"units": "uint8 [0, 255]"
}
},
"meta_member": ".json",
"crs": "EPSG:25832",
"patch_size_px": 128,
"resolution_m": 10,
"dop20_patch_size_px": 6400,
"dop20_resolution_m": 0.2
}
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