Ms. Min-Ji Lee Profile

Min-Ji Lee

at Pukyong National Univ

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Publications (2)

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Proceedings Article | 7 October 2011 Paper

Assessment of tundra-taiga boundary changes using MODIS LAI data

Min-ji Lee, Kyung-Soo Han, Kyoung-Jin Pi, Sang-Il Kim, In-Hwan Kim

Proceedings Volume 8174, 81741G (2011) https://doi.org/10.1117/12.898370

KEYWORDS: Vegetation, Climatology, Climate change, MODIS, Data acquisition, Satellites, Sensors, Environmental sensing, Remote sensing, Ecosystems

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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(730,325km² ) than area of reduced vegetation(22,372km² ) 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.

Proceedings Article | 7 October 2011 Paper

An improvement of satellite-based algorithm for gross primary production estimation optimized over Korea

Kyoung-Jin Pi, Kyung-Soo Han, In-Hwan Kim, Sang-Il Kim, Min-Ji Lee

Proceedings Volume 8174, 81741F (2011) https://doi.org/10.1117/12.898061

KEYWORDS: MODIS, Carbon, Ecosystems, Vegetation, Satellites, Coastal modeling, Solar radiation models, Clouds, Climatology, Sensors

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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 (R² = 0.8164, RMSE = 0.6126 g·C·m^-2·d^-1, bias = -0.0271 g·C·m^-2·d^-1). 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.

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