期刊文献+

植物蒸腾作用对红外辐射特征的影响研究 被引量:7

The Study of Transpiration Influence on Plant Infrared Radiation Character
在线阅读 下载PDF
导出
摘要 研究植被的红外辐射特征是开展地面军事目标红外伪装与隐身的基础,模拟植被红外特性的形成机理可实现目标与背景的精确融合。叶片蒸腾是植被特有的生理机制,是影响植被红外辐射特征的主要因素之一。通过建立植物叶片的能量平衡物理模型,分析计算出植物蒸腾特性对叶面温度的影响。应用气孔计、红外热像仪实测了樟树、冬青等典型植物叶片的蒸腾作用、叶面温度、红外辐射特征的日周期变化,通过与干枯叶片的对比表明,植物蒸腾作用能够有效调节叶片的能量平衡,控制叶面温度处于合理的范围内,抑制叶片红外辐射特征的深幅变化。 Studying vegetation infrared radiation character is the base of developing infrared camouflage and concealment technol- ogy of ground military target. Accurate fusion of target and background can he achieved by simulating formation mechanism of vegetation infrared radiation character. Leaf transpiration is characteristic physiological mechanism of vegetation and one of the main factors that influence its infrared radiation character. In the present paper, physical model of leaf energy balance is set up. Based on this model the influence of plant transpiration on leaf temperature is analyzed and calculated. The daily periodic varia- tion of transpiration, leaf temperature and infrared radiation character of typical plants such as camphor tree and holly is actually measured with porometer and infrared thermal imaging system. By contrasting plant leaf with dryness leaf, experimental data in- dicates that plant transpiration can regulate leaf energy balance effectively and control leaf temperature in a reasonable range and suppress deep range variation of leaf infrared radiation character.
出处 《光谱学与光谱分析》 SCIE EI CAS CSCD 北大核心 2012年第7期1775-1779,共5页 Spectroscopy and Spectral Analysis
关键词 红外伪装 蒸腾作用 气孔 叶面温度 红外辐射特性 Infrared camouflage Transpiration Stoma Leaf temperature Infrared radiation character
  • 相关文献

参考文献11

  • 1Rosenberg N J. Microclimate: the Biological Environment. New York, London: Jone Wiley &Sons, Inc. , 1974. 69.
  • 2韩丽娟,王鹏新,王锦地,刘绍民.植被指数-地表温度构成的特征空间研究[J].中国科学(D辑),2005,35(4):371-377. 被引量:66
  • 3LIU Dian-lin(刘佃林).Plant Physiology(植物生理学).Beijing:Peking University Press(北京:北京大学出版社),2007.19.
  • 4Fitter A H, Hay R K M. Environmental Physiology of Plant. San Diego; Landon: Academic Press, 2002. 162.
  • 5Lambin E F, Ehrlich D. International Journal of Remote Sensing, 1996, 17(3) : 463.
  • 6Sandholt I, Rasmussen K, Andersen J. Remote Sensing of Environment, 2002, 79 : 213.
  • 7Lambers H, Chapin F Stuart, Pons Thijs L. Plant Physiological Ecology. Springer, 1998, 215.
  • 8Schulze E, Beck E, Muller Hohenstein K. Plant Ecology. Springer, 2005, 324.
  • 9Hopkins W G. Introduction to Plant Physiology. New York John Wiley Publisher, 1997.
  • 10Atsushi Nakashima, Yasushi Ogura, Motoharu Fujigaki, et al. Proceedings of SPIE, 2003, 4879: 334.

二级参考文献55

  • 1Nemain R R, Running S W. Estimation of regional surface resistance to evapotranspiration from NDVI and thermal-IR AVHRR data. Journal of Applied Meteorology, 1989, 28: 276~284
  • 2Goetz S J. Muti-sensor analysis of NDVI, surface temperature and biophysical variables at a mixed grassland site. International Journal of Remote Sensing, 1997, 18(1): 71~94
  • 3Carlson T N, Gillies R R, Perry E M. A method to make use of thermal infrared temperature and NDVI measurements to infer surface soil water content and fractional vegetation cover. Remote Sensing Reviews, 1994, 9: 161~173
  • 4Gillies R R, Carlson T N, Kustas W P. A verification of the 'triangle' method for obtaining surface soil water content and energy fluxes from remote measurements of the Normalized Difference Vegetation Index (NDVI) and surface radiant temperature. International Journal of Remote Sensing, 1997, 18(15): 3145~3166
  • 5Sandholt I, Rasmussen K, Andersen J. A simple interpretation of the surface temperature/vegetation index space for assessment of surface moisture status. Remote Sensing of Environment, 2002, 79: 213~224
  • 6Price J C, Using spatial context in satellite data to infer regional scale evapotranspiration. IEEE Transactions on Geoscience and Remote Sensing, 1990, 28: 940~948
  • 7Carlson T N, Capehart W J, Gillies R R. A new look at the simplified method for remote sensing of daily evapotranspiration. Remote Sensing of Environment, 1995, 54: 161~167
  • 8Moron M S, Clarke T R, Inoue Y, et al. Estimating crop water deficit using the relation between surface air temperature and spectral vegetation index . Remote Sensing of Environment, 1994, 49: 246~263
  • 9Ptihofko L, Goward S N. Estimation of air temperature from remotely sensed surface observations. Remote Sensing of Environment, 1997, 60: 335~346
  • 10Boegh E, Soegaard H, Hanan N, et al. A Remote Sensing Study of the NDVI-Ts Relationship and the Transpiration from Sparse Vegetation in the Sahel Based on High-Resolution Satellite Data. Remote Sensing of Environment, 1999, 69: 224~240

共引文献65

同被引文献89

引证文献7

二级引证文献20

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部