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。
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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
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.
期刊最新文献
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