플럭스 타워 설치 유역을 대상으로 탄소수지 분석을 위한 위성영상자료기반의 CO2 정량화 연구
Quantitative Study of CO2 based on Satellite Image for Carbon Budget on Flux Tower Watersheds
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참고문헌
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초록
Spatial heterogeneous characteristics of solar radiation energy from Climate Change gives rise to energy imbalance in the general ecological system including water resources. This study is to estimate the CO2 flux of South Korea using Terra MODIS image and to assess the reliability of MODIS data from the ground measured CO2 flux by eddy covariance flux tower data at 3 locations (two at mixed forest area and one at rice paddy area). The MODIS Gross Primary Productivity (GPP) product (MOD17A2), 8-day composite at 1-km spatial resolution was adopted for the spatial CO2 flux generation. The MOD17A2 data by noise like cloud and snow in a day were tried to fill by Inverse Distance Weighted (IDW) method from valid pixels and the damping effect of MOD17A2 data were corrected by Quality Control (QC) flag. The MODIS CO2 flux was estimated as the sum of GPP and Re (ecosystem respiration) by Lloyd and Taylor method (1994). The determination coefficient (R2) between MODIS CO2 and flux tower CO2 for 3 years (2011~2013) showed 0.55 and 0.60 in 2 mixed forests and 0.56 in rice paddy respectively. The CO2 flux generally fluctuated showing minus values during summer rainy season (from July to August) and maintaining plus values for other periods. The MODIS CO2 flux can be a useful information for extensive area, for example, as a reliable indicator on ecological circulation system.
Abstract
Spatial heterogeneous characteristics of solar radiation energy from Climate Change gives rise to energy imbalance in the general ecological system including water resources. This study is to estimate the CO2 flux of South Korea using Terra MODIS image and to assess the reliability of MODIS data from the ground measured CO2 flux by eddy covariance flux tower data at 3 locations (two at mixed forest area and one at rice paddy area). The MODIS Gross Primary Productivity (GPP) product (MOD17A2), 8-day composite at 1-km spatial resolution was adopted for the spatial CO2 flux generation. The MOD17A2 data by noise like cloud and snow in a day were tried to fill by Inverse Distance Weighted (IDW) method from valid pixels and the damping effect of MOD17A2 data were corrected by Quality Control (QC) flag. The MODIS CO2 flux was estimated as the sum of GPP and Re (ecosystem respiration) by Lloyd and Taylor method (1994). The determination coefficient (R2) between MODIS CO2 and flux tower CO2 for 3 years (2011~2013) showed 0.55 and 0.60 in 2 mixed forests and 0.56 in rice paddy respectively. The CO2 flux generally fluctuated showing minus values during summer rainy season (from July to August) and maintaining plus values for other periods. The MODIS CO2 flux can be a useful information for extensive area, for example, as a reliable indicator on ecological circulation system.
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