Surface of the earth temperature of the earth caused phenomenon that rise and is global warming as greenhouse
gas concentration into waiting by continuous discharge of greenhouse gas increases since passing industrial
revolution. While gravity about climate fluctuation is risen worldwide, place that can diminish successively
biggest surface of the earth change by global warming is high latitude area of polar regions. This study observed
distribution of vegetation to confirm change of tundra-taiga boundary. Tundra-taiga boundary is used to observe
the transfer of vegetation pattern because it is very sensitive to human activity, natural disturbances and climate
change. The circumpolar tundra-taiga boundary could observe reaction about some change. Reaction and
confirmation about climate change were definite than other place. This study used Leaf Area Index(LAI) 8-Day
data in August from 2000 to 2009 that acquire from Terra satellite MODerate resolution Imaging
Spectroradiometer(MODIS) sensor and used Köppen Climate Map, Global Land Cover 2000 for reference data.
This study conducted analysis of spatial distribution in low density vegetated areas and inter-annual / zonal
analysis for using the long period data of LAI. Change of LAI was confirmed by analysis based on boundary
value of LAI in study area. Development of vegetation could be confirmed by area of grown
vegetation(730,325km<sup>2</sup> ) than area of reduced vegetation(22,372km<sup>2</sup> ) in tundra climate. Also, area was
increased with the latitude 64°N~66° N as the center and around the latitude 62° N through area analysis by
latitude. Vegetation of tundra-taiga boundary was general increase from 2000 to 2009. While area of reduced
vegetation was a little, area of vegetation growth and development was increased significantly.
Monitoring the global gross primary production (GPP) is relevant to understanding the global carbon cycle and
evaluating the effects of interannual climate variation on food and fiber production. GPP, the flux of carbon into
ecosystems via photosynthetic assimilation, is an important variable in the global carbon cycle and a key process in land
surface-atmosphere interactions. The Moderate-resolution Imaging Spectroradiometer (MODIS) is one of the primary
global monitoring sensors. MODIS GPP has some of the problems that have been proven in several studies. Therefore
this study was to solve the regional mismatch that occurs when using the MODIS GPP global product over Korea. To
solve this problem, we estimated each of the GPP component variables separately to improve the GPP estimates. We
compared our GPP estimates with validation GPP data to assess their accuracy. For all sites, the correlation was close
with high significance (R<sup>2</sup> = 0.8164, RMSE = 0.6126 g·C·m<sup>-2</sup>·d<sup>-1</sup>, bias = -0.0271 g·C·m<sup>-2</sup>·d<sup>-1</sup>). We also compared our
results to those of other models. The component variables tended to be either over- or under-estimated when compared to
those in other studies over the Korean peninsula, although the estimated GPP was better. The results of this study will
likely improve carbon cycle modeling by capturing finer patterns with an integrated method of remote sensing.
Keywords: VEGETATION, Gross Primary Production, MODIS.