{
  "context": "Evaluates whether the solution uses leafmap's LiDAR and data-cube utilities to generate aligned rasters and a 3D visualization as described in the spec. Focuses on correct use of the package's ingestion, conversion, raster export, and 3D plotting APIs.",
  "type": "weighted_checklist",
  "checklist": [
    {
      "name": "LiDAR ingest",
      "description": "Uses leafmap.read_lidar to load LAS/LAZ data and derive bounds metadata for validating the requested clip extent.",
      "max_score": 20
    },
    {
      "name": "DEM rasterize",
      "description": "Converts the clipped LiDAR data to a GeoTIFF DEM at the requested resolution using leafmap.convert_lidar or leafmap.write_lidar, rather than manual point processing.",
      "max_score": 20
    },
    {
      "name": "Cube export",
      "description": "Extracts the specified variable/time slice with leafmap.read_netcdf and writes the aligned GeoTIFF via leafmap.netcdf_to_tif (or equivalent helper), matching the DEM CRS, extent, and resolution.",
      "max_score": 30
    },
    {
      "name": "3D render",
      "description": "Renders the DEM (and overlay when provided) with leafmap.plot_raster_3d or view_lidar to produce the HTML scene instead of custom plotting logic, and writes the requested HTML output path.",
      "max_score": 30
    }
  ]
}