植被光能利用率高光谱遥感反演研究进展

A Review on Inversion of Vegetation Light Use Efficiency by Hyper Spectral Remote Sensing

光能利用率是表征植被通过光合作用将所截获/吸收的能量转化为有机干物质效率的指标。光能利用率是植被光合作用的重要概念,也是区域尺度以遥感参数模型监测植被生产力的关键参数。不同植被类型的光能利用率具有明显的时空差异,水分、温度、养分供给等环境胁迫因素会影响植被的光能利用率。随着高分辨率光谱测量传感器的使用,位于可见光和近红外区域的窄波段可以捕捉到植被冠层反射率的细微变化,也促进了光能利用率遥感反演技术的发展。本文结合国际植被光能利用率遥感反演最新研究成果,从基于环境胁迫因子的光能利用率反演,基于植被光谱指数的光能利用率反演、基于叶绿素荧光的光能利用率反演,以及基于涡度相关测量数据和遥感数据相结合的光能利用率反演四个方面,详细介绍了植被光能利用率遥感反演的主要技术方法,并对植被光能利用率遥感研究存在的主要问题和发展趋势进行了讨论。

Light use efficiency is the indicator , which shows the efficiency of vegetation photosynthesis transforming intercepted （ ab-sorbed） energy into organic dry matter .Light use efficiency is the important concept of vegetation photosynthesis , and it is also the key parameter monitoring vegetation productivity by remote sensing model in regional scale .The obvious temporal and spatial differ-ence of light use efficiency is presented by different vegetation types .Light use efficiency of vegetation can be inf LUEnced by many en-vironmental stress factors such as moisture , temperature , and nutrient supply etc .With hyper-spectral measurement instrument em-ployment, the subtle change of vegetation canopy reflectance can be captured using narrow bands located in visible and near infrared wavelength range .It also improves the development of inversion technology of light use efficiency by remote sensing .In this paper , the latest research results on international journals were considered about inversion of vegetation light use efficiency by remote sensing . The main technology methods about remote sensing inversion of vegetation light use efficiency were introduced in detail from four as -pects, such as light use efficiency inversion based on the environmental stress factors , light use efficiency inversion based on the re-flective vegetation indices , light use efficiency inversion based on the chlorophyll fluorescent , as well as light use efficiency inversion based on the combination of eddy covariance flux measurement data and remote sensing data .The existed problems and development trends were discussed about remote sensing inversion of vegetation light use efficiency .