Estimation of global terrestrial net primary production using ADEOS-II/GLI data

Satellite ADEOS-II was launched on 14 December 2002 by Japan Aerospace Exploration Agency (JAXA). The purpose of this study is to estimate global terrestrial net primary production (NPP) with a newly developed algorithm that estimates gross photosynthesis using ADEOS-II/GLI data as input. It is the first time that ADEOS-II/GLI data have been used as input to estimate NPP. The NPP estimation error is 26%. In this study, total ANPP estimates between 60°N and 60°S in the world were 65.2±17.0 [1015gC/year]. The results were compared with NPP ground measurement data, and NPP values estimated by other studies, such as NPP derived from climatic model and NPP estimated using other satellite data (e.g., NOAA/AVHRR, Terra/MODIS). The pattern of this study's distribution of estimated NPP in the world was similar to that of other studies.

[1]  M. Daigo,et al.  Pattern decomposition method for hyper-multi-spectral data analysis , 2004 .

[2]  S. Goetz,et al.  Satellite remote sensing of primary production : an improved production efficiency modeling approach , 1999 .

[3]  Shinobu Furumi,et al.  Establishment of an Algorithm to Estimate Vegetation Photosynthesis by Pattern Decomposition Using Multi-Spectral Data , 2005 .

[4]  Robert Frouin,et al.  Estimating Photosynthetically Active Radiation (PAR) at the earth's surface from satellite observations , 1995 .

[5]  N. Fujiwara,et al.  Approximation Method for Time-integral of Photosynthesis for NPP Estimation Using Remote Sensing Data : Case Study in Mongolia , 2005 .

[6]  Kanako Muramatsu,et al.  An Algorithm and a New Vegetation Index for ADEOS-II/GLI Data Analysis , 1998 .

[7]  J. Monteith Climatic variation and the growth of crops , 2007 .

[8]  I. Prentice,et al.  A general model for the light-use efficiency of primary production , 1996 .

[9]  J. Randerson,et al.  Terrestrial ecosystem production: A process model based on global satellite and surface data , 1993 .

[10]  Relation Between Vegetation Vigor and a New Vegetation Index Based on Pattern Decomposition Method , 1998 .

[11]  C. Tucker,et al.  Climate-Driven Increases in Global Terrestrial Net Primary Production from 1982 to 1999 , 2003, Science.

[12]  M. Lautenschlager,et al.  Estimating the change of carbon in the terrestrial biosphere from 18 000 BP to present using a carbon cycle model. , 1994, Environmental pollution.

[13]  R. Reynolds,et al.  The NCEP/NCAR 40-Year Reanalysis Project , 1996, Renewable Energy.

[14]  Jen-hu Chang The Agricultural Potential of the Humid Tropics , 1968 .

[15]  Kanako Muramatsu,et al.  Pattern Expand Method for Satellite Data Analysis , 1996 .

[16]  M. Daigo,et al.  Pattern decomposition method in the albedo space for Landsat TM and MSS data analysis , 2000 .

[17]  古海 忍,et al.  Relation Between Vegetation Vigor and a New Vegetation Index Based on Pattern Decomposition Method. , 1998 .

[18]  J. F. Farrar Physiological plant ecology: Second edn. by W. Larcher, Springer-Verlag, Berlin, 303 pp. US $34.90, ISBN 3-540-09795-3 , 1982 .

[19]  H. Seino,et al.  Global Distribution of Net Primary Productivity of Terrestrial Vegetation , 1992 .