嫩枝轮廓面积与针叶总面积比 (STAR) 和轮廓长度之间的关系

IF 11.1 1区地球科学 Q1 ENVIRONMENTAL SCIENCES

Remote Sensing of Environment Pub Date : 2024-11-21 DOI:10.1016/j.rse.2024.114520

Jan Pisek , Andres Kuusk , Oleksandr Borysenko

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引用次数: 0

摘要

计算针叶树嫩枝轮廓面积与针叶总面积之比（STAR）是评估针叶树嫩枝截光效率的一种方法。我们展示了近距离蓝光三维扫描系统作为一种新型、经济、高效的 STAR 值估算技术的有效性。本文研究的大多数不同物种的STAR值和嫩枝轮廓长度的分布与最近提出的挪威云杉（Picea abies）嫩枝光学模型（Kuusk, A., Borysenko, O., Pisek, J., 2023.针叶树嫩枝的光学模型。定量光谱学和辐射传递杂志》310, 108,715）。这意味着有关嫩枝辐射散射的结论可以更广泛地适用于针叶较长、弯曲、扭曲的树种。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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On the relationship between shoot Silhouette area to Total needle Area Ratio (STAR) and contour length

The calculation of the shoot Silhouette area to Total needle Area Ratio (STAR) provides a method for assessing the light interception efficiency of a coniferous shoot. We illustrate the effectiveness of a close-range, blue light 3D scanning system as a new, affordable, and highly efficient technique for estimating STAR values. The distributions of STAR and contour length of shoots for most of the diverse species studied here are similar to those of a recently proposed optical model of a Norway spruce (Picea abies) shoot (Kuusk, A., Borysenko, O., Pisek, J., 2023. Optical model of a conifer shoot. Journal of Quantitative Spectroscopy and Radiative Transfer 310, 108,715). This implies that the conclusions, regarding the radiation scattering in a shoot can be more widely applicable and extended to the species with longer and curved, twisted needles as well.

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来源期刊

Remote Sensing of Environment 环境科学-成像科学与照相技术

CiteScore

25.10

自引率

8.90%

发文量

455

审稿时长

53 days

期刊介绍： Remote Sensing of Environment (RSE) serves the Earth observation community by disseminating results on the theory, science, applications, and technology that contribute to advancing the field of remote sensing. With a thoroughly interdisciplinary approach, RSE encompasses terrestrial, oceanic, and atmospheric sensing. The journal emphasizes biophysical and quantitative approaches to remote sensing at local to global scales, covering a diverse range of applications and techniques. RSE serves as a vital platform for the exchange of knowledge and advancements in the dynamic field of remote sensing.