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Study of Subtropical Forestry Index Retrieval Using Terrestrial Laser Scanning and Hemispherical Photography

机译:利用地面激光扫描和半球摄影技术研究亚热带林业指数的研究

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摘要

In order to retrieve gap fraction, leaf inclination angle, and leaf area index (LAI) of subtropical forestry canopy, here we acquired forestry detailed information by means of hemispherical photography, terrestrial laser scanning, and LAI-2200 plant canopy analyzer. Meanwhile, we presented a series of image processing and computer graphics algorithms that include image and point cloud data (PCD) segmentation methods for branch and leaf classification and PCD features, such as normal vector, tangent plane extraction, and hemispherical projection method for PCD coordinate transformation. In addition, various forestry mathematical models were proposed to deduce forestry canopy indexes based on the radiation transfer model of Beer-Lambert law. Through the comparison of the experimental results on many plot samples, the terrestrial laser scanner- (TLS-) based index estimation method obtains results similar to digital hemispherical photograph (HP) and LAI-2200 plant canopy analyzer taken of the same stands and used for validation. It indicates that the TLS-based algorithm is able to capture the variability in LAI of forest stands with a range of densities, and there is a high chance to enhance TLS as a calibration tool for other devices.
机译:为了检索亚热带林冠层的间隙分数,叶倾角和叶面积指数(LAI),在这里我们通过半球摄影,陆地激光扫描和LAI-2200植物冠层分析仪获得了林业的详细信息。同时,我们提出了一系列图像处理和计算机图形算法,包括用于分支和叶子分类的图像和点云数据(PCD)分割方法以及PCD特征(例如法向矢量,切线平面提取和PCD坐标的半球投影方法)转型。此外,基于比尔-朗伯定律的辐射传递模型,提出了各种林业数学模型来推论森林冠层指数。通过对多个样地上的实验结果进行比较,基于地面激光扫描仪(TLS)的指数估算方法获得的结果与数字半球照片(HP)和LAI-2200植物冠层分析仪在同一台架上拍摄的结果相似,可用于验证。这表明基于TLS的算法能够捕获具有一定密度范围的林分LAI的变化,并且很有可能增强TLS作为其他设备的校准工具。

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  • 来源
    《Mathematical Problems in Engineering》 |2015年第19期|206108.1-206108.14|共14页
  • 作者单位

    Nanjing Forestry Univ, Sch Informat Sci & Technol, Nanjing 210037, Jiangsu, Peoples R China|Chinese Acad Trop Agr Sci, Rubber Res Inst, Danzhou 571737, Peoples R China|Nanjing Forestry Univ, Joint Ctr Sustainable Forestry Studies Southern C, Nanjing 210037, Jiangsu, Peoples R China;

    Nanjing Forestry Univ, Adv Anal & Testing Ctr, Nanjing 210037, Jiangsu, Peoples R China;

    Nanjing Forestry Univ, Coll Forestry, Nanjing 210037, Jiangsu, Peoples R China;

    Nanjing Forestry Univ, Sch Informat Sci & Technol, Nanjing 210037, Jiangsu, Peoples R China|Chinese Acad Trop Agr Sci, Rubber Res Inst, Danzhou 571737, Peoples R China|Nanjing Forestry Univ, Joint Ctr Sustainable Forestry Studies Southern C, Nanjing 210037, Jiangsu, Peoples R China;

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