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首页> 外文期刊>Canadian Journal of Remote Sensing >Forest Inventory and Aboveground Biomass Estimation with Terrestrial LiDAR in the Tropical Forest of Malaysia
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Forest Inventory and Aboveground Biomass Estimation with Terrestrial LiDAR in the Tropical Forest of Malaysia

机译:马来西亚热带森林中森林库存与地下生物量估计

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摘要

An accurate forest inventory is crucial for forest monitoring and quantifying forest abovegroundbiomass (AGB). This study aimed to investigate the feasibility of Terrestrial LaserScanning (TLS) in forest inventory and AGB estimation in the tropical forest of Malaysia.Individual trees were detected using manual and automatic detection methods. An averagetree detection rate of 99.55% and 93.75% were achieved using the manual and automaticdetection method respectively. The accuracy of the diameter at breast height (DBH) of treesmeasured from TLS was validated using field DBH as reference. A root means square error(RMSE) of 1.37 cm (6.60%) and 2.36cm (11.47%), respectively, were obtained for manually andautomatically measured TLS DBH. Similarly, TLS based tree height was validated usingAirborne Laser Scanner (ALS) height as a reference and resulted in RMSE of 1.74m (9.30%) and3.17m (17.40%) with manual and automatic method respectively. Finally, AGB was calculatedusing the variables derived from the TLS data. Results show an R~2 value of 0.98 and RMSE of0.08Mg. The results of this study confirmed that TLS as a nondestructive approach can providea very good estimation of forest attributes and AGB in the dense tropical forest conditions.
机译:准确的森林库存对于地上的森林监测和量化森林至关重要生物量(AGB)。本研究旨在调查陆地激光的可行性马来西亚热带森林扫描(TLS)森林库存和AGB估计。使用手动和自动检测方法检测单个树木。平均使用手动和自动实现树检出率为99.55%和93.75%分别检测方法。胸部高度(DBH)直径的准确性使用Field DBH作为参考进行验证从TLS测量。根部意味着方形错误(RMSE)分别为1.37厘米(6.60%)和2.36厘米(11.47%),用于手动获得,手动获得自动测量TLS DBH。类似地,基于TLS的树高进行了验证使用空中激光扫描仪(ALS)高度作为参考,导致RMSE为1.74米(9.30%)和3.17M(17.40%)分别具有手动和自动方法。最后,计算了AGB使用从TLS数据派生的变量。结果显示R〜2值0.98和RMSE0.08毫克。本研究的结果证实,TLS作为非破坏性方法可以提供对茂密的热带森林条件中的森林属性和AGB非常好。

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  • 来源
    《Canadian Journal of Remote Sensing》 |2020年第2期|130-145|共16页
  • 作者单位

    aBiometry GIS and Database Coordination Ethiopian Environment and Forest Research Institute Addis Ababa Ethiopia;

    Department of Natural Resources Faculty of Geo-information Science and Earth Observation (ITC) University of Twente Enschede The Netherlands;

    Department of Natural Resources Faculty of Geo-information Science and Earth Observation (ITC) University of Twente Enschede The Netherlands;

    Department of Forest Management Faculty of Forestry Universiti Putra Malaysia Puchong Selangor Malaysia;

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