文章基本信息

标题：3D-Landscape Metrics to Modelling Forest Structure and Diversity Based on Laser-Scanning Data
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作者：T. Blaschke ; D. Tiede ; M. Heurich 等
期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2004
卷号：XXXVI-8/W2
出版社：Copernicus Publications
摘要：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 geo- information 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
关键词：LiDAR; GIS; landscape metrics; forest structure; 3d analysis