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能否利用多光谱地面激光扫描估算叶片含水量?以挪威云杉幼苗为例的案例研究。

Can Leaf Water Content Be Estimated Using Multispectral Terrestrial Laser Scanning? A Case Study With Norway Spruce Seedlings.

作者信息

Junttila Samuli, Sugano Junko, Vastaranta Mikko, Linnakoski Riikka, Kaartinen Harri, Kukko Antero, Holopainen Markus, Hyyppä Hannu, Hyyppä Juha

机构信息

Department of Forest Sciences, University of Helsinki, Helsinki, Finland.

Centre of Excellence in Laser Scanning Research, Finnish Geospatial Research Institute (FGI), Masala, Finland.

出版信息

Front Plant Sci. 2018 Mar 8;9:299. doi: 10.3389/fpls.2018.00299. eCollection 2018.

Abstract

Changing climate is increasing the amount and intensity of forest stress agents, such as drought, pest insects, and pathogens. Leaf water content, measured here in terms of equivalent water thickness (EWT), is an early indicator of tree stress that provides timely information about the health status of forests. Multispectral terrestrial laser scanning (MS-TLS) measures target geometry and reflectance simultaneously, providing spatially explicit reflectance information at several wavelengths. EWT and leaf internal structure affect leaf reflectance in the shortwave infrared region that can be used to predict EWT with MS-TLS. A second wavelength that is sensitive to leaf internal structure but not affected by EWT can be used to normalize leaf internal effects on the shortwave infrared region and improve the prediction of EWT. Here we investigated the relationship between EWT and laser intensity features using multisensor MS-TLS at 690, 905, and 1,550 nm wavelengths with both drought-treated and inoculated Norway spruce seedlings to better understand how MS-TLS measurements can explain variation in EWT. In our study, a normalized ratio of two wavelengths at 905 and 1,550 nm and length of seedling explained 91% of the variation () in EWT as the respective prediction accuracy for EWT was 0.003 g/cm in greenhouse conditions. The relation between EWT and the normalized ratio of 905 and 1,550 nm wavelengths did not seem sensitive to a decreased point density of the MS-TLS data. Based on our results, different EWTs in Norway spruce seedlings show different spectral responses when measured using MS-TLS. These results can be further used when developing EWT monitoring for improving forest health assessments.

摘要

气候变化正在增加森林胁迫因素的数量和强度,如干旱、害虫和病原体。这里以等效水厚度(EWT)来衡量的叶片含水量是树木胁迫的早期指标,能提供有关森林健康状况的及时信息。多光谱地面激光扫描(MS-TLS)可同时测量目标几何形状和反射率,在多个波长提供空间明确的反射率信息。EWT和叶片内部结构会影响短波红外区域的叶片反射率,可用于通过MS-TLS预测EWT。对叶片内部结构敏感但不受EWT影响的第二个波长可用于归一化叶片内部对短波红外区域的影响,并改善EWT的预测。在这里,我们使用690、905和1550 nm波长的多传感器MS-TLS研究了干旱处理和接种后的挪威云杉幼苗的EWT与激光强度特征之间的关系,以更好地了解MS-TLS测量如何解释EWT的变化。在我们的研究中,905和1550 nm两个波长的归一化比率以及幼苗长度解释了EWT中91%的变化(),因为在温室条件下EWT的各自预测精度为0.003 g/cm。EWT与905和1550 nm波长的归一化比率之间的关系似乎对MS-TLS数据点密度的降低不敏感。基于我们的结果,使用MS-TLS测量时,挪威云杉幼苗中不同的EWT显示出不同的光谱响应。在开发用于改善森林健康评估的EWT监测时,这些结果可得到进一步应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4aeb/5853165/f8118d343ec2/fpls-09-00299-g0001.jpg

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