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叶片茸毛对叶片反射光谱及高光谱植被指数的影响研究 被引量:6

Effects of Leaf Hair on Leaf Reflectance and Hyperspectral Vegetation Indices
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摘要 很多高光谱植被指数被用于对植被的生化物质含量进行非破坏性的估计与反演。由于这些指数都是利用不同波段的反射率计算而得到的,因而对叶片反射具有很大影响的茸毛等叶表结构对这些植被指数的反演精度的影响不容忽视。本研究发现去茸毛处理使得在400~1 000nm范围的的光谱反射都有所下降,但在各个波段的变化并不均匀。通过对比39个现有的高光谱植被指数在经过去茸毛处理前后的变化,发现一些只单独利用可见光或者近红外波段的高光谱植被指数,如CTR1:R695/R420,D740/D720,WBI:R900/R970,R860/(R550×R708)以及红边指数(REP)比大多数既使用可见光又使用近红外波段的高光谱植被指数受茸毛变化影响小,它们对茸毛的低敏感性可以使其在进行植被生化物质反演时更具有普适性。 Many hyperspectral vegetation indices have been used to estimate the biochemical contents such as pigment content,nondestructively.These reflectance indices are influenced by leaf hair,and the existence of the leaf hair affects the performance of the indices on the estimation of the biochemical contents.The present research studied the possible effects of the leaf hair on the reflectance of the same leaf before and after removal of leaf hair.The authors found that dehairing had decreased the reflectance between wavelength 400 and 1 000 nm,and the decrease depends on the wavelength.The changes of 39 hyperspectral indices before and after the hair removal were compared.The results revealed that some indices that only use visible wavebands or the near infrared wavebands such as CTR1: R695/R420,D740/D720,WBI: R900/R970,R860/(R550×R708) and REP(Red-edge position) were not affected much by the dehairing process and are thought relatively robust to estimate the biochemical contents.
出处 《光谱学与光谱分析》 SCIE EI CAS CSCD 北大核心 2012年第2期439-444,共6页 Spectroscopy and Spectral Analysis
基金 国家自然科学基金项目(41001258 40771153 40971190) 东北师范大学"十一五"科技创新项目培育基金项目(111065340) 国家重点基础研究发展规划(973)项目(2009CB426305)资助
关键词 叶片茸毛 叶片反射光谱 高光谱植被指数 Leaf hair Leaf reflectance Hyperspectral vegetation indices
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参考文献18

  • 1Vogelmann T C.Annual Review of Plant Physiology and Plant Molecular Biology,1993,44: 231. 被引量:1
  • 2Smith W K,Vogelmann T C,Delucia E H,et al.Bioscience,1997,47: 785. 被引量:1
  • 3Gitelson A A,Merzylac M N.Journal of Plant Physiology,1994,143: 286. 被引量:1
  • 4Curran P J,Windham W R,Gholz H L.Tree Physiology,1995,15: 203. 被引量:1
  • 5Blackburn G A.International Journal of Remote Sensing,1998,19(4): 657. 被引量:1
  • 6Datt B.Remote Sensing of Environment,1998,66(2): 111. 被引量:1
  • 7Adams M L,Philpot W D,Norwell W A.International Journal of Remote Sensing,1999,20: 3663. 被引量:1
  • 8Richardson A D,Duigan S P,Berlyn G P.New Phytologist,2002,153: 185. 被引量:1
  • 9Ehieringer J R,Bjorkman O.Plant Physiology,1978,62: 185. 被引量:1
  • 10Savitzky A,Golay M J E.Analytical Chemistry,1964,36(8): 1627. 被引量:1

二级参考文献32

  • 1FANG Jingyun,PIAO Shilong,HE Jinsheng,MA Wenhong.Increasing terrestrial vegetation activity in China, 1982—1999[J].Science China(Life Sciences),2004,47(3):229-240. 被引量:112
  • 2毕晓丽,王辉,葛剑平.植被归一化指数(NDVI)及气候因子相关起伏型时间序列变化分析[J].应用生态学报,2005,16(2):284-288. 被引量:70
  • 3Myneni R B,Keeling C,Tucker CJ,et al.Increase Plant Growth in the North high Latitudes from 1981 to 1991[J].Nature,1997,386:698~702. 被引量:1
  • 4Mark R,Rick C,Mick C,et al.Long-Term Studies of Vegetation Dynamics[J].Science,2001,293:650~655. 被引量:1
  • 5IGBP J R G.Townshend(Ed).Improved Global Data for Land Applications[A].IGBP Global Change Report,vol.20.Stockholm,Sweden:International Geosphere-Biosphere Programme[C].1992. 被引量:1
  • 6Myneni R B,Tucker C J,Asrar G,et al.Interannual Variation in Satellite-sensed Vegetation Index Data from 1981 to 1991[J].Journal of Geophysical Research,1998,103:6145~6160. 被引量:1
  • 7Defries R S,Townshend J R G.NDVI-derived Land-cover Classifications at A Global-scale[J].International Journal of Remote Sensing,1994,15(17):3567~3586. 被引量:1
  • 8James M E,Kalluri S N V.The Pathfinder AVHRR Land Data Set-an Improved Coarse Resolution Data Set for Terrestrial Monitoring[J].International Journal of Remote Sensing,1994,15(17):3347~3363. 被引量:1
  • 9Di L,Rundquist D C,Han L.Modelling Relationship Between NDVI and Precipitation During Vegetation Cycles[J].International Journal of Remote Sensing,1994,15:2121~2136. 被引量:1
  • 10Telesca L,Lasaponara R.Quantifying Intra-annual Persistent Behaviour in SPOT-VEGETATION NDVI Data for Mediterranean Ecosystems of Southern Italy[J].Remote Sensing of Environment,2006,101:95~ 103. 被引量:1

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