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Generate an orienteering map directly from a set of laz/las files

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OmapMaker

Generate georeferenced and magnetic north aligned .omap files directly from lidar data

An application for generating orienteering maps (.omap file) from ground-classified lidar data.

With a GUI with parameter tuning, area filtering and lidar conversion tools. The written omap-file is automatically georeferenced.

Implemented:

  • GUI with live map parameter tuning
  • Preview uses the exported OMAP symbol definitions for colours, dashed contours, area patterns, water boundaries and point shapes
  • Connected and overlapping lidar files are queried together, with exact duplicate returns removed
  • Raw, smoothed and interpolation-based (experimental) contours
  • Basemap-contours (with marked depressions)
  • Vegetation
  • Writes Omap-files that are
    • georeferenced (if a CRS is detected in the lidar files or provided)
    • aligned towards the Magnetic North according to the world magnetic model based on the maps creation date and geographical position
    • correctly scaled including calculating the auxiliary scale factor based on the map center's elevation
    • in scales 1:10_000 or 1:15_000 with minimum symbol size filtering
  • Supports both bezier and polyline output
  • Polygon filter for only mapping parts of the provided lidar files
  • .las and .laz to .copc.laz conversion
  • Coordinate system assignment tool for CRS-less lidar-files (Lantmäteriet in Sweden uses EPSG:3006, but often skips writing the mandatory CRS-VLR to their files)
  • CRS-less files are supported if the CRS is unknown
  • Non-connected lidar file detection (Useful when accidentally adding a file that should not have been added or assigning the wrong CRS to a file)
  • OpenStreetMap, OpenTopoMap or ESRI satellite background map
  • Experimental lidar-intensity filter
  • Hydrologically corrected D8 stream detection, with an optional AI stream-detection in deep-learning builds
  • Buffering on polygons to remove small holes and too thin areas or exaggerating small details

WIP:

  • AI contours
  • Form lines
  • Water detection
  • Building detection
  • Boulder detection (experimental tree-filtered, opaque non-ground surfaces; large boulders ≥2 m by default, small boulders ≥1 m with a lower height threshold)

Wish List:

  • Vegetation boundaries
  • Road/path detection
  • Marsh detection
  • Lidar CRS transformation

Step-by-step

Add lidar files

Add your files, select output location and optionally adjust some advanced setting. Welcome screen in OmapMaker

Add an optional polygon filter to the files

Add a polygon filter. Only the area inside the filter is processed. Polygon filter in OmapMaker

Parameter tuning

OmapMaker let's the user adjust parameters live.

Every generation step is optional and enabled by default. Use Enable this generation step in each adjustment panel to choose which features to generate. Disabled steps are omitted from both the preview and the exported map; their parameter settings are kept for re-enabling.

The preview renderer lives in src/rendering, adapted from the private omap-projects renderer and its paper-geometry helpers. Its source is included in this repository, so building OmapMaker requires no sibling checkout. Symbol visibility and map opacity can still be adjusted over the background map; maps without a CRS use a local planar preview.

Contour tuning

Contour tuning in OmapMaker

Openness tuning

Openness tuning in OmapMaker

Vegetation tuning

Vegetation tuning in OmapMaker

Cliff tuning

Cliff tuning

Water detection

Water detection

Writes to omap

Here is the finished map in OpenOrienteering Mapper (geo-referenced and magnetic north aligned). The generation process is on the order of minutes, depending on point density and map size. Map in OOmapper

Writes geo-referenced geotiffs

OmapMaker writes viewer-scaled geotiffs for the rasters that are checked on the welcome screen. Hillshade in OOmapper

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Generate an orienteering map directly from a set of laz/las files

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