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	Leaf transpiration of drought tolerant plant can be captured by hyperspectral reflectance using plsr analysis
	Wang, Quan1; Jin, Jia2,3
刊名	Iforest-biogeosciences and forestry
	2016-02-01
卷号	9页码:30-37
关键词	Arid land Leaf transpiration Plsr Derivative spectra Drought-tolerant Haloxylon ammondendron
ISSN号	1971-7458
DOI	10.3832/ifor1634-008
通讯作者	Wang, quan(wang.quan@shizuoka.ac.jp)
英文摘要	A clear understanding of plant transpiration is a crucial step for water cycle and climate modeling, especially for arid ecosystems in which water is one of the major constraints. traditional field measurements of leaf scale transpiration are always time-consuming and often unfeasible in the context of large spatial and temporal scales. this study focused on a dominant native plant in the arid land of central asia, haloxylon ammondendron, with the aim of deriving the leaf-scale transpiration through hyperspectral reflectance using partial least squares regression (plsr) analysis. the results revealed that the plsr model based on the first-order derivative spectra at wavelengths selected through stepwise regression analysis can closely trace leaf transpiration with a high accuracy (r-2 = 0.78, rmse = 1.62 mu mol g(-1) s(-1)). the accuracy is also relatively stable even at a spectral resolution of 10 nm, which is very close to the bandwidths of several running satellite-borne hyperspectral sensors such as hyperion. the results also proved that the first-order derivative spectra within the shortwave infrared (swir) domain, especially at 2435, 2440, 2445, and 2470 nm, were critical for plsr models to predict leaf transpiration. these findings highlight a promising strategy for developing remote sensing methods to potentially characterize transpiration at broad scales.
WOS关键词	NEAR-INFRARED REFLECTANCE ; SQUARES REGRESSION ; NITROGEN-CONTENT ; WATER-CONTENT ; STOMATAL CONDUCTANCE ; ABSORPTION FEATURES ; CANOPY REFLECTANCE ; DERIVATIVE SPECTRA ; WHEAT CANOPIES ; SAP FLOW
WOS研究方向	Forestry
WOS类目	Forestry
语种	英语
出版者	SISEF-SOC ITALIANA SELVICOLTURA ECOL FORESTALE
WOS记录号	WOS:000372122700001
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2375928
专题	中国科学院大学
通讯作者	Wang, Quan
作者单位	1.Shizuoka Univ, Grad Sch Agr, Shizuoka 4228529, Japan 2.Chinese Acad Sci, Xinjiang Inst Ecol & Geog, Urumqi 830011, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Wang, Quan,Jin, Jia. Leaf transpiration of drought tolerant plant can be captured by hyperspectral reflectance using plsr analysis[J]. Iforest-biogeosciences and forestry,2016,9:30-37.
APA	Wang, Quan,&Jin, Jia.(2016).Leaf transpiration of drought tolerant plant can be captured by hyperspectral reflectance using plsr analysis.Iforest-biogeosciences and forestry,9,30-37.
MLA	Wang, Quan,et al."Leaf transpiration of drought tolerant plant can be captured by hyperspectral reflectance using plsr analysis".Iforest-biogeosciences and forestry 9(2016):30-37.

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