Realistic Forest Stand Reconstruction from Terrestrial LiDAR for Radiative Transfer Modelling

Realistic Forest Stand Reconstruction from Terrestrial LiDAR for Radiative Transfer Modelling
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DOI:
10.3390/rs10060933
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发表时间:
2018-06-01
期刊:
影响因子:
5
通讯作者:
Lewis, Philip
Lewis, Philip
中科院分区:
工程技术2区
文献类型:
--
作者:
Calders, Kim;Origo, Niall;Lewis, Philip

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来自遥感观测的森林生物物理变量对于气候研究至关重要。结构和辐射精确的 3D 虚拟森林与辐射传输 (RT) 模型相结合,创建了一个强大的工具,通过帮助我们理解数据处理算法中的假设,促进遥感数据和衍生生物物理产品的校准和验证。我们提出了一个工作流程,使用高度详细的 3D 地面激光扫描 (TLS) 数据来生成用于 RT 模型模拟的虚拟森林。我们从共同注册的点云重建林分的方法是独特的,因为它单独对每棵树进行建模。我们的方法遵循三个步骤:(1)树分割; (2)树结构建模和(3)叶子添加。为了演示这种方法,我们展示了威瑟姆伍兹(英国牛津)一公顷落叶林模型的测量和构建。该模型包含 559 棵单独的树。我们将 TLS 数据与传统普查数据进行匹配,以确定每棵树的物种并分配物种特定的辐射特性。我们的建模框架是通用的、高度可移植的,并且可以根据其他 TLS 工具和不同生态系统收集的数据进行调整。 Wytham Woods 虚拟森林通过在线存储库向公众开放。
Forest biophysical variables derived from remote sensing observations are vital for climate research. The combination of structurally and radiometrically accurate 3D virtual forests with radiative transfer (RT) models creates a powerful tool to facilitate the calibration and validation of remote sensing data and derived biophysical products by helping us understand the assumptions made in data processing algorithms. We present a workflow that uses highly detailed 3D terrestrial laser scanning (TLS) data to generate virtual forests for RT model simulations. Our approach to forest stand reconstruction from a co-registered point cloud is unique as it models each tree individually. Our approach follows three steps: (1) tree segmentation; (2) tree structure modelling and (3) leaf addition. To demonstrate this approach, we present the measurement and construction of a one hectare model of the deciduous forest in Wytham Woods (Oxford, UK). The model contains 559 individual trees. We matched the TLS data with traditional census data to determine the species of each individual tree and allocate species-specific radiometric properties. Our modelling framework is generic, highly transferable and adjustable to data collected with other TLS instruments and different ecosystems. The Wytham Woods virtual forest is made publicly available through an online repository.