Acknowledgement
Grant : 차세대 핵심환경기술개발사업(Eco-Technopia 21 Project)
Supported by : 환경부
References
- 강신규, 2005. MODIS 엽면적지수 및 일차생산성 영상의 구름 영향 오차 분석: 우리나라 몬순기후의 영향, 한국생태학회지 28(4): 215-222.
- 강신규, 김영일, 김영진, 2005. MODIS 총일차생산성 산출물의 오차요인 분석: 입력기상자료의 영향, 한국농림기상학회지, 7(2): 171-183.
- 국립기상연구소, 2005. 기후변화협약대응 지역기후시나리오 활용기술 개발(I), 국립기상연구소.
- 신사철, 백승철, 2008. 정규화식생지수를 이용한 금강유역의 순일차생산량 추정방법의 제안, 한국지반환경공학회지, 9(6): 43-51.
- 윤정숙, 강성진, 이규성, 2009. 시계열 MODIS를 이용한 토지피복의 반사율 패턴: 2004년-2008년, 대한원격탐사학회지, 25(2): 113-126. https://doi.org/10.7780/kjrs.2009.25.2.113
- 정영상, 방정호, 임양생, 1999. 우리 나라의 순1차생산력 및 벼 수량의 지역성과 변이성, 한국농림기상학회, 1(1): 1-12.
- 조덕기, 강용혁, 2010. 국내 태양광시스템 설치를 위한 수평면 전일사량과 운량 정밀조사, 한국태양에너지학회, 30(3): 1-9.
- 환경부, 2010. 국가 장기 생태연구, 국립산림과학원.
- 황태희, 이도현, 2003. 경기도 광릉숲의 이산화탄소 흡수 효과 추정: 인공위성 영상과 현장 측정 자료를 이용한 생태계 모형 분석, 기후변화 포럼 및 학술대회, 1(15): 169-180.
- Angert, A., S. Biraud, C. Bonfils, C. C. Henning, W. Buermann, J. Pinzon, C. J. Tucker, and I. Fung, 2005. Drier summers cancel out the CO2 uptake enhancement induced by warmer springs, Proceedings of the National Academy of Sciences of the United States of America, 102 (31): 10823-10827. https://doi.org/10.1073/pnas.0501647102
- Atlas, R. M. and R. Lucchesi, 2000. File specification for GEOS-DAS celled output. Data Assimilation Office, Goddard Space Flight Center, Greenbelt, Maryland, Document No. DAO-1001v4.3.
- Baldocchi, D., E. Falge, L. Gu, R. Olson, D. Hollinger, S. Running, P. Anthoni, C. Bernhofer, K. Davis, R. Evans, J. Fuentes, A. Goldstein, G. Katul, B. Law, X. Lee, Y. Malhi, T. Meyers, W. Munger, W. Oechel, U. K. T. Paw, K. Pilegaard, H. P. Schmid, R. Valentini, S. Verma, T. Vesala, K. Wilson, and S. Wofsy, 2001. FLUXNET: A New Tool to Study the Temporal and Spatial Variability of Ecosystem-Scale Carbon Dioxide, Water Vapor and Energy Flux Densities, Bulletin of the American Meteorological Society, 82(11): 2415-2434. https://doi.org/10.1175/1520-0477(2001)082<2415:FANTTS>2.3.CO;2
- Goetz, S. J., S. D. Prince, S. N. Goward, M. M. Thawley, J. Small, and A. Johnston, 1999. Mapping net primary production and related biophysical variables with remote sensing: Application to the BOREAS region, Journal of Geophysical Research-Atmospheres, 104(22): 27719-27733. https://doi.org/10.1029/1999JD900269
- Goetz, S. J., S. D. Prince, J. Small, A. Gleason, and M. M. Thawley, 2000. Interannual variability of global terrestrial primary production: Results of a model driven with satellite observations, Journal of Geophysical Research, 105: 20077-20091. https://doi.org/10.1029/2000JD900274
- Goward, S. N., R. H. Waring, and D. G. Dye, 1994. Ecological remote sensing at OTTER: Macroscale satellite observations, Ecological Society of America, 4(2): 322-343.
- Heinsch, F. A., M. Reeves, C. F. Bowker, P. Votava, S. Kang, C. Milesi, M. Zhao, J. Glassy, W. M. Jolly, J. S. Kimball, R. R. Nemani, and S. W. Running, 2003. User's Guide GPP and NPP(MOD17A2/A3) Products NASA MODIS Land Algorithm.
- Heinsch, F. A., M. Zhao, S. Running, J. Kimball, R. Nemani, K. Davis, P. Bolstad, B. Cook, A. Desai, D. Ricciuto, B. Law, W. Oechel, H. Kwon, H. Luo, S. Wofsy, A. L. Dunn, J. Munger, D. Baldocchi, L. Xu, D. Hollinger, A. Richardson, P. Stoy, M. Siqueira, R. Monson, S. Burns, and L. Flanagan, 2006. Evaluation of remote sensing based terrestrial productivity from MODIS using regional tower eddy flux network observations, IEEE Transactions on Geoscience and Remote Sensing, 44(7): 1908-1925. https://doi.org/10.1109/TGRS.2005.853936
- Hunt, E. R. and Jr. Raymond, 1994. Relationship between woody biomass and PAR conversion efficiency for estimating net primary production from NDVI, International Journal of Remote Sensing, 15(8): 1725-1729. https://doi.org/10.1080/01431169408954203
- Monteith, J. L., 1972. Solar radiation and productivity in tropical ecosystems, Journal of Applied Ecology, 9(3): 747-766. https://doi.org/10.2307/2401901
- Prince, S. D., S. J. Goetz, K. Czajkowski, R. Dubayah, and S. N. Goward, 1998. Inference of surface and air temperature, atmospheric precipitable water and vapor pressure deficit using AVHRR satellite observations: Validation of algorithms, Journal of Hydrology, 212-213: 230-250. https://doi.org/10.1016/S0022-1694(98)00210-8
- Running, S. W. and E. R. Hunt, 1993. Generalization of a forest ecosystem process model for other biomes, Biome-BGC, and an application for global-scale models. In: Scaling Physiological Processes: Leaf to Globe, J. Ehleringer, and C. Field, pp. 141-158, Academic Press, San Diego, 236.
- Prince, S. D. and S. N. Goward, 1995. Global Primary Production: a remote sensing approach, Goward Laboratory for global remote sensing studies, Journal of Biogeography, 22: 815-835. https://doi.org/10.2307/2845983
- Thornton, P. E., B. E. Law, H. L. Gholz, K. L. Clark, E. Falge, D. S. Ellsworth, A. H. Goldstein, R. K. Monson, D. Hollinger, M. Falk, J. Chen, and J. P. Sparks, 2002. Modeling and measuring the effects of disturbance history and climate on carbon and water budgets in evergreen needleleaf forests, Agricultural and Forest Meteorology, 113:185-222. https://doi.org/10.1016/S0168-1923(02)00108-9
- Turner, D. P., S. Urbanski, D. Bremer, S. C. Wofsy, T. Meyers, S. T. Gower, and M. Gregory, 2003. A cross-biome comparison of daily light-use efficiency for gross primary production, Global Change Biology, 9: 383-395. https://doi.org/10.1046/j.1365-2486.2003.00573.x
- White, M. A., P. E. Thornton, and S. W. Running, 1997. A continental phenology model for monitoring vegetation responses to interannual climatic variability, Global Biogeochemical Cycles, 11(2): 217-234. https://doi.org/10.1029/97GB00330
- Zhang, Y., J., M. Xu, H. Chen, and J. Adams, 2009. Global pattern of NPP to GPP ratio derived from MODIS data: effects of ecosystem type, geographical location and climate, Global Ecology and Biogeography, 18(3): 280-290. https://doi.org/10.1111/j.1466-8238.2008.00442.x
- Zhao, M., F. A. Heinsch, R. R. Nemani, and S. V. Running, 2005, Improvements of the MODIS terrestrial gross and net primary production global data set, Remote sensing of Environment, 95(2): 164-176. https://doi.org/10.1016/j.rse.2004.12.011
- Zhao, M., S. W. Running, and R. R. Nemani, 2006. Sensitivity of Moderate Resolution Imaging Spectroradiometer (MODIS) terrestrial primary production to the accuracy of meteorological reanalysis, Journal of Geophysical Research, 111, G01002, doi:10.1029/2004JG000004.
Cited by
- Prediction of Rice Yield in Korea using Paddy Rice NPP index - Application of MODIS data and CASA Model - vol.29, pp.5, 2013, https://doi.org/10.7780/kjrs.2013.29.5.2
- Estimation of forest carbon budget from land cover change in South and North Korea between 1981 and 2010 vol.57, pp.4, 2014, https://doi.org/10.1007/s12374-014-0165-3
- Estimating the Changes in Forest Carbon Dynamics of Pinus densiflora and Quercus variabilis Forests in South Korea under the RCP 8.5 Climate Change Scenario vol.17, pp.1, 2015, https://doi.org/10.5532/KJAFM.2015.17.1.35
- Quantitative Study of CO2 based on Satellite Image for Carbon Budget on Flux Tower Watersheds vol.57, pp.3, 2015, https://doi.org/10.5389/KSAE.2015.57.3.109
- 기후변화에 따른 수도권 산림의 순일차생산량과 토양탄소저장량의 시공간적 변화 추정 vol.21, pp.5, 2011, https://doi.org/10.14249/eia.2012.21.5.757
- 산림의 CO2 흡수량 평가를 위한 통계 및 공간자료의 활용성 검토 - 안산시를 대상으로 - vol.27, pp.2, 2011, https://doi.org/10.14249/eia.2018.27.2.124
- 장기미집행공원 개발에 따른 도시 식생 탄소 흡수량에 미치는 영향 및 경제적 가치 평가 vol.21, pp.10, 2020, https://doi.org/10.5762/kais.2020.21.10.361
- 논벼에서 관측된 태양 유도 엽록소 형광 자료: 나주에서 2020년 6월 10일부터 10월 5일까지 vol.23, pp.1, 2011, https://doi.org/10.5532/kjafm.2021.23.1.82
- Discrepancies between Global Forest Net Primary Productivity Estimates Derived from MODIS and Forest Inventory Data and Underlying Factors vol.13, pp.8, 2011, https://doi.org/10.3390/rs13081441