The Effect of Epidermal Structures on Leaf Spectral Signatures of Ice Plants (Aizoaceae)

The Effect of Epidermal Structures on Leaf Spectral Signatures of Ice Plants (Aizoaceae)
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DOI:
10.3390/rs71215862
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发表时间:
2015-12-01
期刊:
影响因子:
5
通讯作者:
Oldeland, Jens
Oldeland, Jens
中科院分区:
工程技术2区
文献类型:
--
作者:
Heim, Rene Hans-Juergen;Juergens, Norbert;Oldeland, Jens

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已知叶的表皮结构(ES)影响功能性质和光谱响应。光谱研究主要集中在头发或蜡层的影响。我们研究了更广泛的不同ES及其对光谱特性的影响。此外,我们确定了光谱区域,可以区分不同的ES。我们使用了一个现场光谱仪测量离体叶片光谱响应从350 nm-2500 nm。建立了番木鳖科25种肉质植物的光谱库。根据ES将其划分为五种功能类型:扁平表皮细胞表面、凸起至乳头状表皮细胞表面、膀胱细胞、毛发和蜡覆盖。我们使用偏最小二乘判别分析(PLS-DA)的光谱数据的基础上测试的ES的可分性。随后,计算变量重要性(VIP),以确定与区分我们的功能类型(类)相关的光谱区域。分类性能很高,Kappa值为0.9,表明可分离的光谱类别。VIP计算确定了六个光谱区域的重要性增加的分类。我们证实并扩展了先前关于可见-近红外光谱区域的发现。我们的实验还证实,表皮叶性状可以进行分类,由于明确区分的光谱特征,跨物种和属内的Aizoaceae。
Epidermal structures (ES) of leaves are known to affect the functional properties and spectral responses. Spectral studies focused mostly on the effect of hairs or wax layers only. We studied a wider range of different ES and their impact on spectral properties. Additionally, we identified spectral regions that allow distinguishing different ES. We used a field spectrometer to measure ex situ leaf spectral responses from 350 nm-2500 nm. A spectral library for 25 species of the succulent family Aizoaceae was assembled. Five functional types were defined based on ES: flat epidermal cell surface, convex to papillary epidermal cell surface, bladder cells, hairs and wax cover. We tested the separability of ES using partial least squares discriminant analysis (PLS-DA) based on the spectral data. Subsequently, variable importance (VIP) was calculated to identify spectral regions relevant for discriminating our functional types (classes). Classification performance was high, with a kappa value of 0.9 indicating well-separable spectral classes. VIP calculations identified six spectral regions of increased importance for the classification. We confirmed and extended previous findings regarding the visible-near-infrared spectral region. Our experiments also confirmed that epidermal leaf traits can be classified due to clearly distinguishable spectral signatures across species and genera within the Aizoaceae.