Suppr超能文献

一个由三种常见欧洲树种在树木、树叶、针叶和树皮层面的多角度光谱库及辅助数据组成的数据集。

A dataset composed of multiangular spectral libraries and auxiliary data at tree, leaf, needle, and bark level for three common European tree species.

作者信息

Hovi Aarne, Forsström Petri R, Ghielmetti Giulia, Schaepman Michael E, Rautiainen Miina

机构信息

Department of Built Environment, Aalto University, School of Engineering, P.O. Box 14100, FI-00076 Aalto, Finland.

Department of Geography, Remote Sensing Laboratories, University of Zürich, Winterthurerstrasse 190, CH-8057 Zurich, Switzerland.

出版信息

Data Brief. 2021 Jan 30;35:106820. doi: 10.1016/j.dib.2021.106820. eCollection 2021 Apr.

Abstract

This article describes a dataset of multiangular scattering properties of small trees (height = 0.38-0.7 m) at visible, near-infrared, and shortwave-infrared wavelengths (350-2500 nm), and provides supporting auxiliary data that comprise leaf, needle, and bark spectra, and structural characteristics of the trees. Multiangular spectra were measured for 18 trees belonging to three common European tree species: Scots pine ( L.), Norway spruce ( (L.) H. Karst), and sessile oak ( (Matt.) Liebl.). The measurements were performed in 47 different view angles across a hemisphere, using a laboratory goniometer and a non-imaging spectrometer. Leaf and needle spectra were measured for each tree, using a non-imaging spectrometer coupled to an integrating sphere. Bark spectra were measured for one sample tree per species. In addition, leaf and needle fresh mass, surface area of leaves, needles, and woody parts, silhouette area, and spherically averaged silhouette to total area ratio (STAR) for each tree were measured or derived from the measurements. The data are useful for modeling the shortwave reflectance characteristics of small trees and potentially forests, and thus benefit climate modeling or interpretation of remote sensing data.

摘要

本文描述了小树(高度为0.38 - 0.7米)在可见光、近红外和短波红外波长(350 - 2500纳米)下的多角度散射特性数据集,并提供了辅助支持数据,包括树叶、针叶和树皮光谱以及树木的结构特征。对属于三种常见欧洲树种的18棵树测量了多角度光谱:欧洲赤松(Pinus sylvestris L.)、挪威云杉(Picea abies (L.) H. Karst)和无柄花栎(Quercus petraea (Matt.) Liebl.)。测量是在半球范围内47个不同视角下进行的,使用了实验室测角仪和非成像光谱仪。对每棵树使用与积分球耦合的非成像光谱仪测量树叶和针叶光谱。对每个树种的一棵样本树测量树皮光谱。此外,测量或从测量结果中得出了每棵树的树叶和针叶鲜质量、树叶、针叶和木质部分的表面积、轮廓面积以及球形平均轮廓面积与总面积之比(STAR)。这些数据有助于对小树以及潜在森林的短波反射特性进行建模,从而有益于气候建模或遥感数据解读。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a511/7890139/c67ce029c167/gr1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验