麻栎叶片含水率与水分指数关系分析

林业资源管理 ›› 2010›› Issue (5): 55-60.

麻栎叶片含水率与水分指数关系分析

费鲜芸¹, 张志国², 卢霞¹, 高祥伟¹, 何润昭¹

1.淮海工学院测绘工程学院,江苏连云港 222005;
2.上海应用技术学院生态学院,上海 200235

收稿日期:2010-07-30 修回日期:2010-09-17 发布日期:2020-12-14
通讯作者: 张志国(1957-),男,山东沾化人,教授,主要研究方向为园林植物与景观生态。
作者简介:费鲜芸(1969-),女,山东烟台人,副教授,博士,主要从事植被遥感调查研究。Email:hhitfxy@163.com
基金资助:
江苏省自然基金(BK2009627)

The Relationship between Sawtooth Oak Leave WI and FMC

FEI Xianyun¹, ZHANG Zhiguo², LU Xia¹, GAO Xiangwei¹, HE Runzhao

1. School of Geodesy & Geomatics Engineering, Huaihai Institute of Technology, Lianyungang 222005, China;
2. School of Ecology Technology and Engineering, Shanghai Institute of Technology, Shanghai 200235, China

Received:2010-07-30 Revised:2010-09-17 Published:2020-12-14

摘要/Abstract

摘要： 选择江苏省连云港市花果山优势树种麻栎树为研究对象,采集其位于不同海拔位置的树木叶片,测量鲜重及经不同程度阴干处于不同水分状态下叶片的水分指数(WI)和含水率(FMC),在叶片水平上,研究水分指数与含水率之间的关系。研究表明,水分指数对麻栎叶片含水率的变化敏感,二者之间统计关系明显;叶片含水率可以通过水分指数进行曲线拟合,拟合曲线为y=19.022x²-32.707x+ 14.064,其稳定性较好。

关键词: 高光谱遥感, 水分指数, 含水率, 回归分析, 麻栎叶片

Abstract: Sawtooth oak,a dominant species,was chosen as the study object in Huaguo Mountains of Lianyungang City in Jiangsu province.Leaves of Sawtooth oaks growing at different elevation locations were picked up as samples.Leave water index(WI) and water content(FMC) in fresh and different water states by shade drying were surveyed.The statistic characteristics between WI and FMC were studied.The results showed that the WI of Sawtooth oak leaves is sensitive to the changes of FMC.Leave FMC could be deduced by fitted curve using WI.The fitted curve is y=19.022x²-32.707x + 14.064,and its precision is high.

Key words: high spectral remote sensing, water index, water content, regression analysis, sawtooth oak leaf

中图分类号:

费鲜芸, 张志国, 卢霞, 高祥伟, 何润昭. 麻栎叶片含水率与水分指数关系分析[J]. 林业资源管理, 2010,(5): 55-60.

FEI Xianyun, ZHANG Zhiguo, LU Xia, GAO Xiangwei, HE Runzhao. The Relationship between Sawtooth Oak Leave WI and FMC[J]. FOREST RESOURCES WANAGEMENT, 2010,(5): 55-60.

参考文献

[1] Allen S E.Analysis of vegetation and other organic materials[C]//.Chemical Analysis of Ecological Materials.Oxford:Blackwell Scienti. fic Publications,1989:46-61.
[2] Filella I,Penelas J.The red edge position and shape as indicators of plant chorophyll content,biomass and hydric status[J].International Journal of Remote Sensing,1994,15(7):1459-1470.
[3] Carter G A.Primary and secondary effects of water content of the spectral reflectance of leaves[J].American Journal of Botany,1991,78:916-924.
[4] Penelas J,Piol J,Ogaya R,et al.Estimation of plant water concentration by the reflectance water index WI(R900/R970)[J].InteratiLinal Jounal Remote Sensing,1997,18(13):2869-2875.
[5] Gao B C.NDWI-a normalized difference water index for remote sensing of vegetation liquid water from space[J].Remote Sensing of Environment,1996(58):257-266.
[6] Dawson T P,Curran P J,North P R J,et al.The propagation of foliar biochemical absorption features in forest canopy reflectance:A theoretical analysis[J].Remote Sensing of Environment,1999(67):147-159.
[7] Serrano L,Ustin S L,Roberts D A,et al.Deriving water content of chaparral vegetation from AVIRIS data[J].Remote Sensing of Environment,2000(74):570-581.
[8] Roberts D A,Green R,Adams J B.Temporal and spatial patterns in vegetation and atmosphere properties from AVIRIS[J].Remote Sensing of Environment,1997,62:223-224.
[9] Danson F M,Steven M D,MMthus T J.High-spectral resolution data for determining leaf water content[J].International Journal of Remote Sensing,1992,13:461-470.
[10] Peuelas J,Filella I,Biel C,et al.The reflectance at the 950-970nm region as an indicator of plant water status[J].International Journal of Remote Sensing,1993,14,1887-1905.
[11] Penelas J,Filella I,Biel C,et al.Cell wall elasticity and water index(R970 nm/R900nm) in wheat under different nitrogen availabilities[J].International Journal of Remote Sensing,1996,17:373-382.
[12] Van Wagner C E.Seasonal variation in moisture content of eastern Canadian tree foliage and the possible effect on crown fires[Z].Can.Dep.For.and Rural Develop,Forest.Br.Publ.,1967:1204.

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