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4th Aug.

  • Writer: 凯歌 杨
    凯歌 杨
  • Aug 20, 2016
  • 1 min read

ALEXANDER DAMM, JAN ELBERS, ANDRE´ ERLER, etc. Remote sensing of sun-induced fluorescence to improve modeling of diurnal courses of gross primary production (GPP). Global Change Biology. 2010(16): 171-186.

Recently, I read a lot of papers which relate to improve GPP estimation by applying remote sensing SiF data.

But this paper is still inspiring, mainly because of following three reasons.

First, I have a better understanding of Monteith’s GPP model after reading this paper.

Second, I can distinguish fluorescence data and fluorescence yield now. I used to hold the opinion that they two are different terms of the same value.

Third, I think this paper proposed a very surprising idea of time-delayed SiF data.

Finally, I think I need to analysis diurnal relationships of SiF and PRI with LUE. Above picture is exiting, right?


 
 
 

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