欢迎访问中国科学院大学学报,今天是

中国科学院大学学报 ›› 2014, Vol. 31 ›› Issue (2): 176-181.DOI: 10.7523/jssn.2095-6134.2014.02.006

• 化学与生命科学 • 上一篇    下一篇

基于三波段模型的大豆叶绿素a含量估算模型

邵田田1,2, 宋开山1, 杜嘉1   

  1. 1. 中国科学院东北地理与农业生态研究所, 长春 130102;
    2. 中国科学院大学, 北京 100049
  • 收稿日期:2013-02-27 修回日期:2013-05-17 发布日期:2014-03-15
  • 通讯作者: 宋开山,E-mail:songks@neigae.ac.cn
  • 基金资助:

    国家自然科学基金重点项目(41030743)资助

Hyperspectral estimation of chlorophyll-a concentration in soybean based on three-band model

SHAO Tiantian1,2, SONG Kaishan1, DU Jia1   

  1. 1. Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China;
    2. University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2013-02-27 Revised:2013-05-17 Published:2014-03-15

摘要:

基于实测大豆冠层高光谱及叶绿素a数据,利用植被指数和三波段方法建立大豆叶绿素a的高光谱反演模型. 通过IDL(interactive data language)实现NDVI和RVI波段的重新选择,提高了基于2种植被指数的模型反演精度. 比较而言,三波段方法建模反演大豆叶绿素a含量的精度较改良后植被指数的更高(R2=0.81). 研究结果表明,利用波段重新组合的植被指数建立的估算模型可以提高大豆叶绿素a的估算精度;三波段模型法可以筛选更好的波段来构建模型,并在一定程度上提高大豆叶绿素a反演精度.

关键词: 叶绿素a, 三波段模型, 植被指数, 生化参数

Abstract:

As a key material for plant photosynthesis, Chlorophyll is a proxy for vegetation health. Both vegetation indices and three-band model were used to estimate soybean Chl-a concentration with in situ reflectance for soybean canopy. Furthermore, modified vegetation indices are optimized through interactive data language (IDL) to improve soybean Chl-a estimation accuracy. The results show that three-band model is an effective approach for estimating soybean Chl-a. Compared to the models based on both the original and modified vegetation indices, the three-band model achieves better performance with higher coefficient of determination (R2=0.81).

Key words: chlorophyll-a, three-band model, vegetation index, biochemical parameter

中图分类号: