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Best hyperspectral indices for tracing leaf water status as determined from leaf dehydration experiments
Cao, Zhenxing1; Wang, Quan1; Zheng, Chaolei1
刊名ECOLOGICAL INDICATORS
2015
卷号54页码:2131-2143
关键词Hyperspectral indices Derivative spectra Leaf water status Deciduous trees Leaf dehydration
通讯作者Wang, Q (reprint author), Shizuoka Univ, Grad Sch Agr, Shizuoka 4228529, Japan.
英文摘要Leaf water status information is highly needed for monitoring plant physiological processes and assessing drought stress. Retrieval of leaf water status based on hyperspectral indices has been shown to be easy and rapid. However, a universal index that is applicable to various plants remains a considerable challenge, primarily due to the limited range of field-measured datasets. In this study, a leaf dehydration experiment was designed to obtain a relatively comprehensive dataset with ranges that are difficult to obtain in field measurements. The relative water content (RWC) and equivalent water thickness (EWT) were chosen as the surrogates of leaf water status. Moreover, five common types of hyperspectral indices including: single reflectance (R), wavelength difference (D), simple ratio (SR), normalized ratio (ND) and double difference (DDn) were applied to determine the best indices. The results indicate that values of original reflectance, reflectance difference and reflectance sensitivity increased significantly, particularly within the 350-700 nm and 1300-2500 nm domains, with a decrease in leaf water. The identified best indices for RWC and EWT, when all the species were considered together, were the first derivative reflectance based ND type index of dND (1415, 1530) and SR type index of dSR (1530, 1895), with R-2 values of 0.95 (p < 0.001) and 0.97 (p < 0.001), respectively, better than previously published indices. Even so, different best indices for different species were identified, most probably due to the differences in leaf anatomy and physiological processes during leaf dehydration. Although more plant species and field-measured datasets are still needed in future studies, the recommend indices based on derivative spectra provide a means to monitor drought-induced plant mortality in temperate climate regions. (C) 2015 Elsevier Ltd. All rights reserved.
研究领域[WOS]Biodiversity Conservation ; Environmental Sciences
收录类别SCI ; EI
语种英语
WOS记录号WOS:000355365500010
内容类型期刊论文
源URL[http://ir.ceode.ac.cn/handle/183411/38418]  
专题遥感与数字地球研究所_SCI/EI期刊论文_期刊论文
作者单位1.[Cao, Zhenxing
2.Zheng, Chaolei] Shizuoka Univ, Grad Sch Sci & Technol, Shizuoka 4228529, Japan
3.[Wang, Quan] Shizuoka Univ, Grad Sch Agr, Shizuoka 4228529, Japan
4.[Zheng, Chaolei] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing 100094, Peoples R China
推荐引用方式
GB/T 7714
Cao, Zhenxing,Wang, Quan,Zheng, Chaolei. Best hyperspectral indices for tracing leaf water status as determined from leaf dehydration experiments[J]. ECOLOGICAL INDICATORS,2015,54:2131-2143.
APA Cao, Zhenxing,Wang, Quan,&Zheng, Chaolei.(2015).Best hyperspectral indices for tracing leaf water status as determined from leaf dehydration experiments.ECOLOGICAL INDICATORS,54,2131-2143.
MLA Cao, Zhenxing,et al."Best hyperspectral indices for tracing leaf water status as determined from leaf dehydration experiments".ECOLOGICAL INDICATORS 54(2015):2131-2143.
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