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Estimation of net primary productivity using Boreal Ecosystem Productivity Simulator - a case study for Hokkaido Island, Japan

Authors :
Masayuki Tamura
Jin Chen
Satoshi Kameyama
Bunkei Matsushita
Source :
IGARSS, Scopus-Elsevier
Publication Year :
2003
Publisher :
IEEE, 2003.

Abstract

This paper describes a method for the estimation of the net primary productivity (NPP) by integrating remotely sensed and GIS data with a process,based ecosystem model (BEPS: Boreal Ecosystem Productivity Simulator) for Hokkaido Island, Japan. Using this method, we calculated the mean and total NPP for the study area in 1998 was 644 g C m/sup -2/ year/sup -1/ and 0.078 Pg C year/sup -1/, respectively. The effect of the quality of the model input requirements on accurate NPP estimation using a process-based model was also checked. The results show that the higher quality input data obtained from GIS data sets for a process-based model improved the NPP estimation accuracy for Hokkaido Island by about 16.6-39.7%.

Details

Database :
OpenAIRE
Journal :
IEEE International Geoscience and Remote Sensing Symposium
Accession number :
edsair.doi.dedup.....36e7d0bbf5945e259393ee5de5229e9a
Full Text :
https://doi.org/10.1109/igarss.2002.1026540