华北农学报 ›› 2000, Vol. 15 ›› Issue (4): 68-72. doi: 10.3321/j.issn:1000-7091.2000.04.014

所属专题: 小麦

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利用遥感方法诊断小麦叶片含水量的研究

王纪华1, 赵春江1, 郭晓维1, 黄文江1, 田庆久2   

  1. 1. 北京市农林科学院作物研究所, 北京 100089;
    2. 中国科学院遥感应用研究所, 北京
  • 出版日期:2000-12-28
  • 作者简介:王纪华(1958-),男,研究员,农学博士,主要从事作物栽培生理、农业遥感和信息农业研究工作。
  • 基金资助:
    北京市科委重点科技攻关项目(9526301001) ;国家重点基础研究发展规划项目(G2000077900)

Study on the Water Content of Wheat Leaves by the Remote Sensing

WANG Ji hua1, ZHAO Chun jiang1, GUO Xiao wei1, HUANG Wen jiang1, TIAN Qing jiu2   

  1. 1. Beijing Academy of Agricultural and Forestry Sciences, Beijing 100089, China;
    2. Institute of Remote Sensing Application, Chinese Academy of Sciences, Beijing
  • Published:2000-12-28

摘要: 应用地物光谱仪探讨了小麦叶片含水量对近红外(NIR)波段光谱吸收特征参量的影响。结果表明:1.65~1.85 μm间的光谱反射率与小麦叶片的含水量呈显著负相关,而且该波段在大气窗口之内,受大气层水的干扰较小,可作为航空或卫星遥感探测指标应用。根据大量观测数据建立了叶片含水量与吸收深度及吸收面积间的线性相关关系和回归方程式,从而提出一种利用光谱反射率诊断小麦叶片水分状况的遥感方法。

关键词: 小麦, 叶片含水量, 光谱反射率, 遥感

Abstract: Surface feature spectro-comparator was used to probe the effect of spectral absorption feature parameters on water content of the wheat leaves at NIR. The results showed that the water content of the wheat leaves decreased when the spectral reflectance was between 1.65 μm and 1.85 μm. The wave-band lies in the atmosphere window, so was seldom interfered by the water in the atmosphere. Thus it could be regarded as the index of the aviation or satellite remote sensing. The linear correlation curve and the regression equation between water content of wheat leaves and absorption depth or area of the spectrum were obtained on the basis of a great deal of data observed. Thus a remote sensing method of using spectral reflectance was used to diagnose the water status of the wheat leaves was obtained.

Key words: Wheat, Water content of the leaves, Spectral reflectance, Remote sensing

引用本文

王纪华, 赵春江, 郭晓维, 黄文江, 田庆久. 利用遥感方法诊断小麦叶片含水量的研究[J]. 华北农学报, 2000, 15(4): 68-72. doi: 10.3321/j.issn:1000-7091.2000.04.014.

WANG Ji hua, ZHAO Chun jiang, GUO Xiao wei, HUANG Wen jiang, TIAN Qing jiu. Study on the Water Content of Wheat Leaves by the Remote Sensing[J]. ACTA AGRICULTURAE BOREALI-SINICA, 2000, 15(4): 68-72. doi: 10.3321/j.issn:1000-7091.2000.04.014.

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