地理科学进展 ›› 2011, Vol. 30 ›› Issue (9): 1125-1134.doi: 10.11820/dlkxjz.2011.09.007

• 气候参数空间反馈 • 上一篇    下一篇

光合有效辐射(PAR)估算的研究进展

董泰锋, 蒙继华, 吴炳方, 杜鑫, 钮立明   

  1. 中国科学院遥感应用研究所,北京 100101
  • 收稿日期:2010-08-01 修回日期:2011-01-01 出版日期:2011-09-25 发布日期:2011-09-25
  • 作者简介:董泰锋(1985-),汉,广东人,博士研究生,主要从事农业遥感研究。E-mail: dtf040105@163.com
  • 基金资助:

    国家科技支撑计划项目(2008BADA8B00-2);中国科学院知识创新工程重大项目(KSCX-YW-09-01)。

Overview on the Estimation of Photosynthetically Active Radiation

DONG Taifeng, MENG Jihua, WU Bingfang, Du Xin, NIU Liming   

  1. Institute of Remote Sensing Applications, CAS, Beijing 100101, China
  • Received:2010-08-01 Revised:2011-01-01 Online:2011-09-25 Published:2011-09-25

摘要: 光合有效辐射(Photo-synthetically Active Radiation, PAR )是研究全球变化与陆地生态系统变化的核心之一,不仅是衡量生态系统光合作用变化、碳收支变化的重要数据来源,也是反映全球气候变化主要驱动因子。本文在回顾PAR估算方法的基础上,综合分析了传统方法中的气候学方法、模型参数方法,及在此基础上发展起来的基于遥感的转换系数、模型化参数法的优缺点,并对PAR估算方法研究做出了展望。气候学法、模型参数法等传统方法一直是进行PAR估算的常用手段。然而,随着对生态系统研究的日益深入,基于遥感的估算方法已经成为一种新的手段,凭借遥感覆盖范围广的优势,它使得获取区域乃至全球PAR估算成为可能。因此,如何利用遥感数据获取长时间序列PAR,成为目前关注的重点之一。已有研究表明,查找表方法之类的定量化估算方法将成为主要的估算方法,它不仅在机理上解释了PAR的传输过程,而且增强了估算方法的可靠性、可操作性与普适性。

关键词: PAR, 估算, 遥感, 影响因素

Abstract: PAR (Photo-synthetically Active Radiation) is an important field of the research on global change and terrestrial ecosystem, and is not only an important factor for measuring photosynthesis but also a driving factor of global change. This paper comprehensively reviewed the PAR estimation methods, and included the traditional methods and the remote sensing methods. The climatological and the parameter methods are the most common traditional methods, and the conversion factors and parameters methods based on remote sensing are developed from the traditional methods. The climatological method are a common method for estimating PAR, however, with the development of the study on ecosystems, the methods based on remote sensing become a new kind of methods, which can cover a wide range. Estimation of regional and global PAR by remote sensing becomes possible. How to produce long time series PAR is one of the current concerns around the world. Previous studies have showed that quantitative methods will be the main kind of estimation methods, such as the LUT method. It not only explains the mechanism of PAR in the transmission process, but also enhances the reliability, operability and universality of the estimation methods.

Key words: estimation, influence factors, PAR, remote sensing