Acta Agrestia Sinica ›› 2016, Vol. 24 ›› Issue (3): 689-692.DOI: 10.11733/j.issn.1007-0435.2016.03.031

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Study on Estimation for FPAR of Typical Steppe Based on the Different Vegetation Index

WANG Bao-lin1, YANG Yong1,2, ZHENG Shu-hua1, LIU Ai-jun1   

  1. 1. Institute of Grassland Survey and Planning of Inner Mongolia, Hohhot, Inner Mongolia 010051, China;
    2. Inner Mongolia Agricultural University, Hohhot, Inner Mongolia 010018, China
  • Received:2014-12-02 Revised:2015-05-18 Online:2016-06-15 Published:2016-09-18

基于植被指数的典型草原光合有效吸收比例估算研究

王保林1, 杨勇1,2, 郑淑华1, 刘爱军1   

  1. 1. 内蒙古草原勘察规划院, 内蒙古 呼和浩特 010051;
    2. 内蒙古农业大学, 内蒙古 呼和浩特 010018
  • 通讯作者: 刘爱军
  • 作者简介:王保林(1982-),男,内蒙古乌兰察布市人,硕士研究生,助理研究员,E-mail:wangbaolinnm@163.com
  • 基金资助:

    林业行业科研专项(201204202);内蒙古自治区科技计划项目“不同生态类型区域生态评估及风险预测技术研究”资助

Abstract:

The FPAR was inversed based on 8 commonly used vegetation indexes. The results showed:when leaf area index was bigger (LAI≥0.5), the estimated effect of FPAR calculated by using GNDVI and TSAVR was better, R2 were 0.908 and 0.895, respectively; When leaf area index was smaller (LAI<0.5), TSAVR and SAVR could effectively decrease the effect of soil background on image and R2 reach 0.819 and 0.807, respectively. The accuracy of estimating FPAR was improved by vegetation index that was built by effectively combining reflectance of red and near infrared.

Key words: Fraction of absorbed photosynthetically active radiation, Vegetation index, Reflectance

摘要:

采用常用的8种植被指数,对植被光合有效吸收比例(FPAR)数据进行了反演。结果表明,叶面积指数较大时,绿度植被指数(GNDVI)、转换型土壤调整植被指数(TSAVI)估算FPAR的效果较好,R2分别达到0.908和0.895;而当叶面积指数较小时(<0.5),TSAVI和土壤调整植被指数(SAVI)估算FPAR可有效克服土壤等背景因素的影响,R2分别达到0.819和0.807。有效的组合近红外、红光波段的反射率构建植被指数可以提高FPAR的估算精度。

关键词: 光合有效吸收比例, 植被指数, 反射率

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