干旱区生态环境知识资源中心(Arid): Combing both simulated and field-measured data to develop robust hyperspectral indices for tracing canopy transpiration in drought-tolerant plant

Arid

DOI	10.1007/s10661-018-7140-2
	Combing both simulated and field-measured data to develop robust hyperspectral indices for tracing canopy transpiration in drought-tolerant plant
	Jin, Jia 1; Wang, Quan 2; Wang, Jinlin 1
通讯作者	Wang, Quan
来源期刊	ENVIRONMENTAL MONITORING AND ASSESSMENT
ISSN	0167-6369
EISSN	1573-2959
出版年	2019
卷号	191 期号:1
英文摘要	Transpiration plays a key role in water and energy fluxes at various scales. While in recent remote sensing offers a fast and convenient method for tracing transpiration at multiple scales, the approach is mostly indirect and relies on energy balance. Although several hyperspectral indices have been reported to show potentials for tracing transpiration directly, both at leaf and canopy scales, they remain in pioneer stages and need extensive validations. In this study, we used the Soil, Canopy Observation, Photochemistry and Energy fluxes (SCOPE) model calibrated to arid ecosystems in Central Asia, to generate a simulated dataset for validation. Furthermore, new and robust indices have been developed by combining both simulated and in situ measured datasets. Results suggested that the SR(1525, 2150), ND(1425, 2145), and previously reported index of dSR(660,1040) have significant relationships with both simulated and in situ measured transpiration. Further analyses revealed that the ND(1425,2145) shows consistent performance, even with different methodologies of combining simulation and field-measured datasets. Statistically significant results were obtained in this study, even for a dominant drought-tolerant species in arid land, a place that typically has weak vegetation reflectance under strong background radiation. We foresee the approach being conducted in other regions where vegetation reflectance dominates. This may lead to robust hyperspectral indices being developed for directly tracing transpiration at various scales.
英文关键词	Arid ecosystem Haloxylon ammodendron ND((1425 2145) SCOPE model
类型	Article
语种	英语
国家	Peoples R China ; Japan
收录类别	SCI-E
WOS记录号	WOS:000452856800005
WOS关键词	ENERGY BALANCE ALGORITHM ; LEAF-AREA INDEX ; SPECTRAL INDEXES ; STOMATAL CONDUCTANCE ; SENSITIVITY-ANALYSIS ; REFLECTANCE INDEXES ; INTEGRATED MODEL ; WATER RELATIONS ; HEAT-FLUX ; SAP FLOW
WOS类目	Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
来源机构	中国科学院新疆生态与地理研究所
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/215463
作者单位	1.Chinese Acad Sci, Xinjiang Inst Ecol & Geog, Urumqi 830011, Peoples R China; 2.Shizuoka Univ, Fac Agr, Shizuoka 4228529, Japan
推荐引用方式 GB/T 7714	Jin, Jia,Wang, Quan,Wang, Jinlin. Combing both simulated and field-measured data to develop robust hyperspectral indices for tracing canopy transpiration in drought-tolerant plant[J]. 中国科学院新疆生态与地理研究所,2019,191(1).
APA	Jin, Jia,Wang, Quan,&Wang, Jinlin.(2019).Combing both simulated and field-measured data to develop robust hyperspectral indices for tracing canopy transpiration in drought-tolerant plant.ENVIRONMENTAL MONITORING AND ASSESSMENT,191(1).
MLA	Jin, Jia,et al."Combing both simulated and field-measured data to develop robust hyperspectral indices for tracing canopy transpiration in drought-tolerant plant".ENVIRONMENTAL MONITORING AND ASSESSMENT 191.1(2019).