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Detection of forest strata volume using LiDAR data

机译：利用LiDAR数据检测森林地层量

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Light Detection And Ranging (LiDAR), which is an active remote sensing technique with a high spatial resolution, data was used to extract the 3D structure of the canopy and then to estimate some biophysical properties of the shrubs in a forested area. Several forest attributes, such as the Canopy Height Model (CHM) and the Digital Terrain Model (DTM), were reconstructed by our approach. The 3D structure of dominant trees and shrubs was also described, and the Leaf Area Index (LAI) of the shrubs was correctly estimated. Our developed methods were tested and evaluated using realistic vegetated scenes simulated on DART (Discrete Anisotropic Radiative transfer).
机译：光检测和测距（LiDAR）是一种具有高空间分辨率的主动遥感技术，它使用数据提取冠层的3D结构，然后估算林区灌木的某些生物物理特性。我们的方法重建了几种森林属性，例如树冠高度模型（CHM）和数字地形模型（DTM）。还描述了优势树和灌木的3D结构，并正确估算了灌木的叶面积指数（LAI）。我们使用DART（离散各向异性辐射传输）上模拟的真实植被场景对我们开发的方法进行了测试和评估。

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