3d Landscape Metrics to Modelling Forest Structure and Diversity Based on Laser Scanning Data
نویسندگان
چکیده
This paper investigates the potential of laser scanning data to model forest 3d structure and its spatial pattern. Most of the existing methods for assessing structures in mountain forests are either inventory methods, which cannot be used for spatial assessments over large areas, or methods aimed only at assessing actual wood production. Several new landscape metrics are developed and applied to data sets from the National Park Bavarian Forest, Germany. The LiDAR data based 3d metrics are evaluated using existing geoinformation such as forest maps, high resolution DEMs and ground surveys. Preliminary results give evidence that a 3d landscape metrics methodology can support forest structure discrimination, mapping and monitoring.
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