Volume XLII-3
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 1805-1807, 2018
https://doi.org/10.5194/isprs-archives-XLII-3-1805-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 1805-1807, 2018
https://doi.org/10.5194/isprs-archives-XLII-3-1805-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

  30 Apr 2018

30 Apr 2018

THE REGIONAL DIFFERENCES OF GPP ESTIMATION BY SOLAR INDUCED FLUORESCENCE

X. Wang and S. Lu X. Wang and S. Lu
  • School of Geographical Science, Northeast Normal University, Changchun 130024, China

Keywords: Gross primary productivity, Solar-induced chlorophyll fluorescence, Temperature, Precipitation, Simple linear regression analysis, Determination coefficient

Abstract. Estimating gross primary productivity (GPP) at large spatial scales is important for studying the global carbon cycle and global climate change. In this study, the relationship between solar-induced chlorophyll fluorescence (SIF) and GPP is analysed in different levels of annual average temperature and annual total precipitation respectively using simple linear regression analysis. The results showed high correlation between SIF and GPP, when the area satisfied annual average temperature in the range of −5 °C to 15 °C and the annual total precipitation is higher than 200 mm. These results can provide a basis for future estimation of GPP research.