胡古月,李少达,杨容浩

• 1:成都理工大学地球科学学院
• 2:四川省应急测绘与防灾减灾工程技术研究中心

摘要(Abstract)：

针对叶面积指数(LAI)估算方法的适用性和提高估算精度的问题,该文基于Landsat-7ETM+遥感影像,以都江堰市青城山地区为研究对象,利用LAI-2000对样地LAI进行观测采集,建立如归一化植被指数等4种常见植被指数的单植被指数线性、非线性回归模型和多植被指数组合的偏最小二乘回归模型,比较分析了不同植被指数和不同模型估算LAI的精度。实验结果表明,偏最小二乘回归法能有效解决因变量较多时权重系数难确定的问题,是估算LAI的一种有效方法。

关键词(KeyWords)： 叶面积指数;植被指数;回归模型;偏最小二乘回归

Abstract:

Keywords:

基金项目(Foundation): 四川省教育厅科研计划重点项目(15ZA0060);; 四川省应急测绘与防灾减灾工程技术研究中心开放基金资助项目(K2014B001)

作者(Author): 胡古月,李少达,杨容浩

DOI: 10.16251/j.cnki.1009-2307.2018.10.007

参考文献(References)：

• [1]CHEN J M,BLACK T A.Defining leaf area index for non-flat leaves[J].Plant Cell and Environment,1992,15(4):421-429.
• [2]黄玫,季劲钧.中国区域植被叶面积指数时空分布:机理模型模拟与遥感反演比较[J].生态学报,2010,30(11):3057-3064.(HUANG Mei,JI Jinjun.The spatialtemporal distribution of leaf area index in China:a comparison between ecosystem modeling and remote sensing reversion[J].Acta Ecologica Sinica,2010,30(11):3057-3064.)
• [3]WANG Xiqun,MA Luyi,JIA Zhongkui,et al.Research and application advances in leaf area index(LAI)[J].Chinese Journal of Ecology,2005,24(5):537-541.
• [4]吴彤,倪绍祥,李云梅,等.由冠层孔隙度反演植被叶面积指数的算法比较[J].南京师大学报(自然科学版),2006,29(1):111-115.(WU Tong,NI Shaoxiang,LI Yunmei,et al.A comparison on the algorithms for retrieval of LAI based on gap fraction of vegetation canopy[J].Journal of Nanjing Normal University(Natural Science),2006,29(1):111-115.)
• [5]CHEN J M,CIHLAR J.Retrieving leaf area index of boreal conifer forests using Landsat TM images[J].Remote Sensing of Environment,1996,55(2):153-162.
• [6]BONAN G B.Land-atmosphere interactions for climate system models:coupling biophysical and ecosystem dynamical processes[J].Remote Sensing of Environment,1995,51(1):57-73.
• [7]CAI B F,SHAO X.Leaf area index retrieval based on remotely sensed data and PROSPECT+SAIL model[J].Remote Sensing for Land&Resources,2007,43(2):39-43.
• [8]柳艺博,居为民,朱高龙,等.内蒙古不同类型草地叶面积指数遥感估算[J].生态学报,2011,31(18):5159-5170.(LIU Yibo,JU Weimin,ZHU Gaolong,et al.Retrieval of leaf area index for different grasslands in Inner Mongolia prairie using remote sensing data[J].Acta Ecologica Sinica,2011,31(18):5159-5170.)
• [9]何磊,唐姝娅,苗放,等.岷江上游典型流域叶面积指数的遥感模型及反演[J].水土保持研究,2010,17(1):218-221.(HE Lei,TANG Shuya,MIAO Fang,et al.Remote sensing model and inversion of leaf area index in the typical area of Minjiang Valley upriver[J].Research of Soil and Water Conservation,2010,17(1):218-221.)
• [10]WIEGAND C,MAAS S,AASE J,et al.Multisite analyses of spectral-biophysical data for wheat[J].Remote Sensing of Environment,1992,42(1):1-21.
• [11]CHEN J M,PACLIC G,BROWN L,et al.Derivation and validation of Canada-wide coarse-resolution leaf area index maps using high-resolution satellite imagery and ground measurements[J].Remote Sensing of Environment,2002,80(1):165-184.
• [12]STAGAKIS S,MARKOS N,SYKIOTI O,et al.Monitoring canopy biophysical and biochemical parameters in ecosystem scale using satellite hyperspectral imagery:an application on a Phlomis fruticosa,Mediterranean ecosystem using multiangular CHRIS/PROBA observations[J].Remote Sensing of Environment,2010,114(5):977-994.
• [13]LIU J,PATTEY E,JEGO G.Assessment of vegetation indices for regional crop green LAI estimation from Landsat images over multiple growing seasons[J].Remote sensing of Environment,2012,123(3):347-358.
• [14]PERSSON S.Estimating leaf area index from satellite data in deciduous forests of southern Sweden[D].Lund,Sweden:Lund University,2014.
• [15]孙晓.基于CASI高光谱遥感数据估测森林叶面积指数研究[D].北京:中国林业科学研究院,2010.(SUN Xiao.Study on the estimation method of forest LAI using CASI hyperspectral remote sensing data[D].Beijing:Chinese Academy of Forestry,2010.)
• [16]MIURA T,HUETE A,YOSHIOKA H.An empirical investigation of cross-sensor relationships of NDVI and red/near-infrared reflectance using EO-1 Hyperion data[J].Remote Sensing of Environment,2006,100(2):223-236.
• [17]SCHLERFA M,ATZBERGERB C,HILLA J.Remote sensing of forest biophysical variables using HyMap imaging spectrometer data[J].Remote Sensing of Environment,2005,95(2):177-194.
• [18]吴朝阳,牛铮.基于辐射传输模型的高光谱植被指数与叶绿素浓度及叶面积指数的线性关系改进[J].植物学通报,2008,25(6):714-721.(WU Chaoyang,NIU Zheng.Improvement in linearity between hyperspectral vegetation indices and chlorophyll content,leaf area index based on radiative transfer models[J].Bulletin of Botany,2008,25(6):714-721.)
• [19]QI J,CHEHBOUNI A,HUETE A R,et al.A modified soil adjusted vegetation index[J].Remote Sensing of Environment,1994,48(2):119-126.
• [20]王惠文,吴载斌,孟洁.偏最小二乘回归的线性与非线性方法[M].北京:国防工业出版社,2006:97-123.(WANG Huiwen,WU Zaibin,MENG Jie.Partial leastsquares regression linear and nonlinear methods[M].Beijing:National Defense Industry Press,2006:97-123.)