PointCloud Document

Purpose

3D point cloud datasets from LiDAR or photogrammetry.

GeoJSON (DB metadata)

{
  "type": "Feature",
  "geometry": {"type": "Polygon", "coordinates": [[[
    30.10, 59.90
  ], [
    30.20, 59.90
  ], [
    30.20, 60.00
  ], [
    30.10, 60.00
  ], [
    30.10, 59.90
  ]]]},
  "properties": {
    "type": "PointCloud",
    "title": "Urban LiDAR",
    "created_at": "2025-06-01T09:00:00Z",
    "updated_at": "2025-06-01T09:00:00Z",
    "source": {
      "url": "/s3/<bucket>/<ResultKey>/<filename>",
      "type": "PointCloud"
    },
    "metadata": {"point_density": 12.5, "crs": "EPSG:4978"}
  }
}

Required properties

  • properties.type = PointCloud

  • Footprint geometry for the point cloud AOI

  • Link to a web-accessible tileset (EPT) or file archive

Publishing workflow

  1. Convert point cloud to EPT tileset for scalable rendering.

  2. Host on static HTTP or S3.

  3. Publish Feature referencing the tileset root.

Validation checklist

  • Tileset responds and viewer can load sample tiles.

  • CRS documented in metadata.

See Common properties for shared fields like legend, metadata, and classification. See also: GeoJSON Strategy and Upload Strategy.