Hyperspectral indices based on first derivative spectra closely trace canopy transpiration in a desert plant
文献类型：期刊论文
| 作者 | Jin, Jia1,2; Wang, Quan3 |
| 刊名 | Ecological informatics
 |
| 出版日期 | 2016-09-01 |
| 卷号 | 35页码:1-8 |
| 关键词 | Arid ecosystem Canopy transpiration Hyperspectral indices Derivative spectra Haloxylon ammodendron |
| ISSN号 | 1574-9541 |
| DOI | 10.1016/j.ecoinf.2016.06.004 |
| 通讯作者 | Wang, quan(aqwang@ipc.shizuoka.ac.jp) |
| 英文摘要 | A clear understanding of transpiration of arid ecosystems and its underlying mechanisms is critical for accurate prediction of long-term water and energy fluxes in such ecosystems, which have gradually been recognized to play major roles on a global scale. unlike traditional measurements of transpiration that are generally time-consuming, expensive, and often unfeasible, remote sensing techniques such as hyperspectral indices are widely utilized as the only approach to obtain such information on a large scale. however, compared with other biochemical and biophysical parameters, few studies on hyperspectral indices have been applied to estimate canopy transpiration. in this study, we focused on a native dominant plant in the arid land of central asia, haloxylon ammodendron, to explore the featured spectra and to develop proper hyperspectral indices for estimating transpiration. this was based on a simultaneous dataset of original canopy-reflectance spectra as well as its first derivatives with transpiration estimated from sap flow. the results indicated that the derivative spectra-based indices are more effective for tracing canopy transpiration, compared with its counterpart that was based on the original reflectance. the identified best index for estimating canopy transpiration was dsr(660,1040) based on the first-derivative spectra, which had a coefficient of determination (r-2) of 0.54. the index is also relatively stable concerning spectral resolutions. results obtained in this study should help lay the basis for using remote sensing data to estimate transpiration. (c) 2016 elsevier b.v. all rights reserved. |
| WOS关键词 | LEAF-AREA INDEX ; SAP FLOW MEASUREMENTS ; WATER-CONTENT ; VEGETATION INDEXES ; RED-EDGE ; ENERGY-BALANCE ; SATELLITE DATA ; PHOTOSYNTHETIC EFFICIENCY ; STOMATAL CONDUCTANCE ; THERMAL DISSIPATION |
| WOS研究方向 | Environmental Sciences & Ecology |
| WOS类目 | Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:000385601800001 |
| 出版者 | ELSEVIER SCIENCE BV |
| URI标识 | http://www.irgrid.ac.cn/handle/1471x/2374857 |
| 专题 | 中国科学院大学 |
| 通讯作者 | Wang, Quan |
| 作者单位 | 1.Chinese Acad Sci, Xinjiang Inst Ecol & Geog, Urumqi 830011, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Shizuoka Univ, Fac Agr, Shizuoka 4228529, Japan |
| 推荐引用方式 GB/T 7714 | Jin, Jia,Wang, Quan. Hyperspectral indices based on first derivative spectra closely trace canopy transpiration in a desert plant[J]. Ecological informatics,2016,35:1-8. |
| APA | Jin, Jia,&Wang, Quan.(2016).Hyperspectral indices based on first derivative spectra closely trace canopy transpiration in a desert plant.Ecological informatics,35,1-8. |
| MLA | Jin, Jia,et al."Hyperspectral indices based on first derivative spectra closely trace canopy transpiration in a desert plant".Ecological informatics 35(2016):1-8. |
入库方式： iSwitch采集
来源：中国科学院大学
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。