中国农业科技导报

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作物环境胁迫高光谱遥感监测研究进展

杨菲菲,李世娟*,刘升平,吕纯阳,刘大众,肖顺夫,刘航   

  1. 中国农业科学院农业信息研究所,农业农村部信息服务技术重点实验室,北京100081
  • 收稿日期:2019-06-13 出版日期:2020-04-15 发布日期:2019-09-10
  • 通讯作者: *通信作者 李世娟 Email:lishijuan@caas.cn
  • 作者简介:杨菲菲Email:82101172482@caas.cn
  • 基金资助:
    国家重点研发计划项目(2016YFD0200600;2016YFD0200601);河北省重点研发计划项目(19227407D);中国农业科学院农业信息研究所基本科研业务费项目(JBYW-AII-2020-30)。

Research Progress on Hyperspectral Remote Sensing Monitoring of Crop Environmental Stress

YANG Feifei, LI Shijuan*, LIU Shengping, LYU Chunyang, LIU Dazhong, XIAO Shunfu, LIU Hang
  

  1. Key Laboratory of Agriinformation Service Technology, Ministry of Agriculture and Rural Affairs; Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China
  • Received:2019-06-13 Online:2020-04-15 Published:2019-09-10

摘要: 作物环境胁迫频发不仅严重影响区域粮食生产和生态安全,还威胁社会经济稳定和可持续发展,高光谱遥感可实时、准确监测作物环境胁迫,与传统监测方法相比具有较大优势。首先阐述了高光谱遥感监测作物环境胁迫的理论基础,重点从基于光谱响应特征的直接监测、基于农学参数和生理信息反演的间接监测两方面,概述了高光谱遥感在监测作物病虫害、水分胁迫方面的研究进展。在此基础上,提出了目前该技术在作物环境胁迫监测应用领域的不足,如光谱响应特征的专属性认识不足、反演模型的精度及普适性较低、数据使用受到限制等,并讨论了高光谱遥感在作物环境胁迫监测方面的发展方向,旨在为农作物环境胁迫监测及预警提供参考。

关键词: 农作物, 环境胁迫, 高光谱遥感, 研究进展

Abstract: Frequent crop environmental stress not only seriously affects regional food production and ecological security, but also threatens social and economic stability and sustainable development. Hyperspectral remote sensing can monitor crop environmental stress in real time and accurately, which has great advantages over traditional monitoring methods. This paper firstly introduced the theoretical basis of hyperspectral remote sensing for monitoring crop environmental stress, focusing on direct monitoring based on spectral response characteristics and indirect monitoring based on agronomic parameters and physiological information inversion. The research progress of hyperspectral remote sensing in monitoring crop pests and diseases and water stress was summarized. On this basis, the insufficiency of this technology in the field of crop environmental stress monitoring was pointed out, such as the lack of specific knowledge of spectral response characteristics, the low accuracy and universality of inversion model, and the limited use of data. The development direction of hyperspectral remote sensing in crop environmental stress monitoring was discussed in order to provide reference for crop environmental stress monitoring and early warning.

Key words: crop, environmental stress, hyperspectral remote sensing, research progress