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This work deals with the analysis of near-ground vegetation in the forest. An orienteering map is a detailed topographic map that contains additional information about the runnability of the terrain. The correct representation of the vegetation is still time-consuming for the orienteering mapper. More detailed, classified and localized vegetation base maps from LiDAR data helps the orienteering mapper during field work. This work shows that the vegetation model for the test area could be calculated based on samples. This was verified in the terrain. The vegetation model provides the cartographer with a more accurate, more informative base map for the field work.

agit journal angew. geoinformatik

Halbautomatische Extraktion bodennaher Vegetation aus Airborne Laserscanningdaten als Grundlage für Orientierungslauf-KartenSemi-Automatic Extraction of Near-Ground Vegetation from LiDAR Data as Base for Orienteering Maps