{
  "segment": {
    "names": [
      "Building",
      "Greenhouse",
      "Impervious surface",
      "Other soil",
      "Herbaceous",
      "Vineyard",
      "Brushwood",
      "Other infrastructures",
      "Swimming pool",
      "Water",
      "Deciduous",
      "Coniferous",
      "Bridge",
      "Agricultural soil",
      "Soil under vegetation",
      "Void"
    ],
    "ignore_index": 15,
    "num_classes": 15,
    "dtype": "uint8"
  },
  "natural_habitat": {
    "dtype": "uint8",
    "shape": "(N, 4)",
    "columns": [
      "nathab_habitat_type",
      "nathab_moisture_regime",
      "nathab_soil_chemistry",
      "nathab_bioclimatic_zone"
    ],
    "note": "On-disk array is already remapped from CarHab storage (definition=default). Column i is columns[i]; a loader can assign natural_habitat[:, i] to the matching nathab_* task with no LUT.",
    "axes": {
      "nathab_habitat_type": {
        "column": 0,
        "key": "nathab_habitat_type",
        "definition": "by_habitat_type_ecological",
        "names": [
          "Open",
          "Forest",
          "Mineral",
          "Aquatic",
          "Void"
        ],
        "ignore_index": 4,
        "num_classes": 4
      },
      "nathab_moisture_regime": {
        "column": 1,
        "key": "nathab_moisture_regime",
        "definition": "by_moisture_regime",
        "names": [
          "Humide",
          "Mesique",
          "Sec",
          "Void"
        ],
        "ignore_index": 3,
        "num_classes": 3
      },
      "nathab_soil_chemistry": {
        "column": 2,
        "key": "nathab_soil_chemistry",
        "definition": "by_soil_chemistry",
        "names": [
          "Acidic",
          "Alkaline",
          "Void"
        ],
        "ignore_index": 2,
        "num_classes": 2
      },
      "nathab_bioclimatic_zone": {
        "column": 3,
        "key": "nathab_bioclimatic_zone",
        "definition": "by_climatic_domain",
        "names": [
          "Temperate",
          "Mediterranean",
          "Alpine",
          "Void"
        ],
        "ignore_index": 3,
        "num_classes": 3
      }
    }
  },
  "forest_2d": {
    "dtype": "uint8",
    "shape": "(1, H, W)",
    "crs": "EPSG:2154",
    "row_axis": "south_up",
    "values": {
      "0": "non_forest",
      "1": "forest",
      "2": "void"
    },
    "georef_columns": [
      "forest_origin_x",
      "forest_origin_y",
      "forest_width",
      "forest_height",
      "forest_pixel_m"
    ],
    "projection": "Read origin/size/pixel_m from tiles.csv (or tiles.parquet). x_abs, y_abs = coord[:,0] + translation[0], coord[:,1] + translation[1]; ix = floor((x_abs - forest_origin_x) / forest_pixel_m); iy = floor((y_abs - forest_origin_y) / forest_pixel_m); label = forest_2d[0, iy, ix] (void=2 if out of bounds)."
  },
  "coord": {
    "dtype": "float32",
    "shape": "(N, 3)",
    "note": "XYZ relative to coord_translation (EPSG:2154 metres)."
  },
  "coord_translation": {
    "dtype": "float64",
    "shape": "(3,)",
    "note": "Lambert-93 offset; xyz_abs = coord + translation."
  }
}