植物生态学报 ›› 2018, Vol. 42 ›› Issue (5): 517-525.doi: 10.17521/cjpe.2017.0313

• 综述 •    下一篇

植被含水量高光谱遥感监测研究进展

张峰1,2,周广胜1,2,*()   

  1. 1 中国气象科学研究院, 北京 100081
    2 中国科学院植物研究所植被与环境变化国家重点实验室, 北京 100093
  • 收稿日期:2017-11-30 修回日期:2018-02-11 出版日期:2018-05-20 发布日期:2018-07-20
  • 通讯作者: 周广胜 E-mail:zhougs@cma.gov.cn
  • 基金资助:
    国家自然科学基金(31661143028);国家自然科学基金(41330531)

Research progress on monitoring vegetation water content by using hyperspectral remote sensing

ZHANG Feng1,2,ZHOU Guang-Sheng1,2,*()   

  1. 1 Chinese Academy of Meteorological Sciences, Beijing 100081, China
    2 State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
  • Received:2017-11-30 Revised:2018-02-11 Online:2018-05-20 Published:2018-07-20
  • Contact: Guang-Sheng ZHOU E-mail:zhougs@cma.gov.cn
  • Supported by:
    Supported by the National Natural Science Foundation of China.(31661143028);Supported by the National Natural Science Foundation of China.(41330531)

摘要:

植被含水量是陆地植被重要的生物物理特征, 其定量遥感反演有助于植被干旱胁迫的实时监测与诊断评估。该文系统综述了国内外利用高光谱遥感评估植被水分状况的4个常见植被水分指标——冠层含水量、叶片等量水厚度、活体可燃物湿度和相对含水量的概念及其遥感估算方法研究进展, 评述了植被含水量高光谱遥感估算各类方法的优缺点, 探讨了植被含水量高光谱遥感估算目前存在的问题, 并提出进一步的研究任务, 即服务于植被干旱胁迫的高光谱遥感监测、预警与评估。

关键词: 冠层含水量, 高光谱遥感, 叶片等量水厚度, 活体可燃物湿度, 植被水分状况

Abstract:
Aims Vegetation water content is an important biophysical property of terrestrial vegetation, and its remote estimation can be utilized for real-time monitoring of vegetation drought stress. This paper reviewed and summarized the conception and research progress of four commonly used vegetation water indicators: canopy water content, leaf equivalent water thickness, live fuel moisture content, and relative water content. The advantage and disadvantage of various research methods were evaluated by estimating vegetation water content and identifying the limitation in monitoring vegetation water content using optical hyperspectral remote sensing techniques. Finally, the future research tasks were discussed to address issues on accurate monitoring, early warning and evaluation of vegetation drought stress.

Key words: canopy water content, hyperspectral remote sensing, leaf equivalent water thickness, live fuel moisture content, vegetation water status