Datasets:
File size: 5,136 Bytes
df74832 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 | {
"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
],
"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). Only present when INCLUDE_DOP20=1 and dop20_available=True for the patch.",
"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
} |