首页> 外文期刊>Forests >Estimating Single-Tree Crown Biomass of Norway Spruce by Airborne Laser Scanning: A Comparison of Methods with and without the Use of Terrestrial Laser Scanning to Obtain the Ground Reference Data
【24h】

Estimating Single-Tree Crown Biomass of Norway Spruce by Airborne Laser Scanning: A Comparison of Methods with and without the Use of Terrestrial Laser Scanning to Obtain the Ground Reference Data

机译:机载激光扫描估算挪威云杉的单树冠生物量:比较使用和不使用地面激光扫描获取地面参考数据的方法

获取原文
       

摘要

Several methods to conduct single-tree inventories using airborne laser scanning (ALS) have been proposed, and even terrestrial laser scanning (TLS) has recently emerged as a possible tool for the collection of forest inventory data. In the present study, a novel methodological framework for a combined use of ALS and TLS in an inventory was tested and compared to a method without the use of TLS. Single-tree Norway spruce crown biomass was predicted using an ALS-model with training data obtained by TLS. ALS and TLS data were collected for sets of sample trees, including 68 trees with both ALS and TLS data. In total, 29 destructively sampled trees were used to fit a TLS crown biomass model, which then was used to predict crown biomass in a separate set of 68 trees. This dataset was subsequently used to fit an ALS crown biomass model. When validating the model, using a separate dataset with accurately measured crown biomass obtained through destructive sampling, the mean error was 32% of the observed mean biomass. Corresponding crown biomass predictions derived with ALS-predicted diameters and the use of conventional and existing allometric models resulted in a mean error of 35%. Thus, in the present study, a slight improvement, in terms of prediction accuracy, was found when using training data with ground reference values obtained by TLS.
机译:已经提出了几种使用机载激光扫描(ALS)进行单棵树清查的方法,并且最近出现了地面激光扫描(TLS)作为收集森林清查数据的可能工具。在本研究中,测试了一种在清单中结合使用ALS和TLS的新颖方法框架,并将其与不使用TLS的方法进行了比较。使用ALS模型以及通过TLS获得的训练数据来预测挪威单树云杉冠生物量。收集了样本树集的ALS和TLS数据,包括68棵同时包含ALS和TLS数据的树。总共使用29棵破坏性取样的树来拟合TLS冠生物量模型,然后将其用于预测68棵树的单独集合中的树冠生物量。该数据集随后用于拟合ALS冠状生物量模型。在验证模型时,使用单独的数据集,该数据集具有通过破坏性采样获得的精确测量的冠生物量,平均误差为观察到的平均生物量的32%。由ALS预测的直径得出的相应冠生物量预测值以及使用常规和现有的异速模型的平均误差为35%。因此,在本研究中,当使用具有通过TLS获得的地面参考值的训练数据时,在预测准确性方面发现了轻微的改进。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号