ESTIMATING AND VALIDATION THE NET PRIMARY PRODUCTION AROUND YATSUGATAKE MOUNTAIN AREA, JAPAN FOR GCOM-C/SGLI PROJECT

GCOM-C satellite will be launched in 2014 and carry Second generation Global Imager (SGLI) that observes land area with 250m spatial resolution. SGLI sensor is a follow-on mission of GLI sensor on boarded ADEOS-II satellite. For SGLI project, it's needed to increase the accuracy of net primary production (NPP) estimation. NPP with 250m spatial resolution data of ADEOS-II/GLI is estimated, and compared with validation data, the validation data was taken by the field survey of the Larch forest data at Yatsugatake site in Yamanashi, Japan. NPP estimation value using GLI data was higher than value using field survey data. Two reasons are considered. One is that the model calculation meteorological data used for NPP estimation. Another is that light-photosynthesis curve on NPP estimation algorithm is not applicable for the Larch forest. Since the NPP was estimated another data sets such as the meteorological data observed on the ground. Annual NPP difference between them was 0.5 KgCO(2)/m(2)/year. It was the 40% of the difference of NPP estimation between satellite data and model calculation meteorological data sets, and field survey. The cause of remaining difference will be in the light-photosynthesis curve on NPP estimation algorithm. To increase accuracy of estimation, photosynthesis of a Larch tree was studied.