西北林学院学报2017，Vol.32Issue(4)：172-177,223,7.DOI:10.3969/j.issn.1001-7461.2017.04.30
基于ArboLiDAR的大野口林区森林参数估测
Tile:ArboLiDAR Based Prediction of the Forest Parametersng in Dayekou
摘要
Abstract
Dayekou forest area in Zhangye of Gansu Province was selected to study forest indices.A software ArboLiDAR was introduced from Finland to conduct the study.Forest data were extracted from LIDAR at stand level and were compared with those measured in the field.The results showed that the estimation accuracy of average HGW of stand was the highest,with R2 of 0.807 and the average estimate accuracy of 90％.The estimation accuracy of average DBH was next to average HGW.The estimation accuracy of stand basal area was greatly influenced by the forest stand density and age structure,and the average estimation accuracy both were 80％ o Estimation accuracy of the stand density was the lowest,with R2 of 0.585,and an average estimation accuracy of 74％.According to the extracted forest parameters,the regional distributions of forest parameters in the study area were drawn,which were more intuitive to show the situation of the study area and could be used as the basis of the follow-up study.关键词
激光雷达/林分分割/ArboLiDAR/森林参数/稀疏贝叶斯回归算法Key words
LiDAR/stand segmentation/ArboLiDAR/forest parameter/sparse Bayesian分类
农业科技引用本文复制引用
高婷,李卫忠,赵鹏祥,张晓丽,高凌寒..基于ArboLiDAR的大野口林区森林参数估测[J].西北林学院学报,2017,32(4):172-177,223,7.基金项目
国家林业局948项目(2014-4-27). （2014-4-27）
