Developing an airborne laser scanning dominant height model from a countrywide scanning survey and national forest inventory data
Developing an airborne laser scanning dominant height model from a countrywide scanning survey and national forest inventory data
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DOI：
10.1080/02827581.2010.486000
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发表时间：
2010-04
影响因子：
1.8
通讯作者：
T. Nord‐Larsen;T. Riis‐Nielsen
中科院分区：
文献类型：
--
作者：
T. Nord‐Larsen;T. Riis‐Nielsen
摘要为了建立丹麦的数字地形模型（DTM），根据全国扫描测量数据，建立了机载激光扫描（ALS）优势高模型。正在进行的丹麦国家森林资源清查（NFI）中获得的数据被用作参考数据。数据包括2006-2007年NFI样地的优势高和相应的ALS数据，共2072个测量。优势高度模型包括来自ALS点云分布的四个变量。这些变量与林冠高度、郁闭度和物种组成有关。最终模型的RMSE为2.25 m，该模型解释了93.9%的变异（R2）。该模型是成功的预测优势高度在广泛的森林树种，林分高度，林分密度，冠层覆盖和生长条件。这项研究表明，在一项不专门针对森林应用的调查中获得的低密度ALS数据如何可用于获得生物物理森林特性，如主要高度，从而降低森林清查的总成本。
Abstract An airborne laser scanning (ALS) dominant height model was developed based on data from a national scanning survey with the aim of developing a digital terrain model (DTM) for Denmark. Data obtained in the ongoing Danish national forest inventory (NFI) were used as reference data. The data comprised a total of 2072 measurements of dominant height on NFI sample plots inventoried in 2006–2007 and their corresponding ALS data. The dominant height model included four variables derived from the ALS point cloud distribution. The variables were related to canopy height, canopy density and species composition on individual plots. The RMSE of the final model was 2.25 m and the model explained 93.9% of the variation (R 2). The model was successful in predicting dominant height across a wide range of forest tree species, stand heights, stand densities, canopy cover and growing conditions. The study demonstrated how low-density ALS data obtained in a survey not specifically aimed at forest applications may be used for obtaining biophysical forest properties such as dominant height, thereby reducing the overall forest inventory costs.