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    王思恒等:An NDVI-Based Vegetation Phenology Is Improved to be More Consistent with Photosynthesis Dynamics through Applying a Light Use Efficiency Model over Boreal High-Latitude Forests

    作者:来源:发布时间:2017-09-20
    An NDVI-Based Vegetation Phenology Is Improved to be More Consistent with Photosynthesis Dynamics through Applying a Light Use Efficiency Model over Boreal High-Latitude Forests
    作者:Wang, SH (Wang, Siheng)[ 1,2 ] ; Zhang, LF (Zhang, Lifu)[ 1 ] ; Huang, CP (Huang, Changping)[ 1 ] ; Qiao, N (Qiao, Na)[ 1,2 ]
    REMOTE SENSING
    卷: 9  期: 7
    文献号: 695
    DOI: 10.3390/rs9070695
    出版年: JUL 2017
    摘要
    Remote sensing of high-latitude forests phenology is essential for understanding the global carbon cycle and the response of vegetation to climate change. The normalized difference vegetation index (NDVI) has long been used to study boreal evergreen needleleaf forests (ENF) and deciduous broadleaf forests. However, the NDVI-based growing season is generally reported to be longer than that based on gross primary production (GPP), which can be attributed to the difference between greenness and photosynthesis. Instead of introducing environmental factors such as land surface or air temperature like previous studies, this study attempts to make VI-based phenology more consistent with photosynthesis dynamics through applying a light use efficiency model. NDVI (MOD13C2) was used as a proxy for both fractional of absorbed photosynthetically active radiation (APAR) and light use efficiency at seasonal time scale. Results show that VI-based phenology is improved towards tracking seasonal GPP changes more precisely after applying the light use efficiency model compared to raw NDVI or APAR, especially over ENF.
    通讯作者地址: Zhang, LF (通讯作者)
    Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China.
    地址:
    [ 1 ] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
    [ 2 ] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
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