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http://dx.doi.org/10.5141/JEFB.2005.28.4.215

Analysis on Cloud-Originated Errors of MODIS Leaf Area Index and Primary Production Images: Effect of Monsoon Climate in Korea  

Kang, Sin-Kyu (Department of Environmental Science, Kangwon National University)
Publication Information
The Korean Journal of Ecology / v.28, no.4, 2005 , pp. 215-222 More about this Journal
Abstract
MODIS (Moderate Resolution Image Spectrometer) is a core satellite sensor boarded on Terra and Aqua satellite of NASA Earth Observing System since 1999 and 2001, respectively. MODIS LAI, FPAR, and GPP provide useful means to monitor plant phonology and material cycles in terrestrial ecosystems. In this study, LAI, FPAR, and GPP in Korea were evaluated and errors associated with cloud contamination on MODIS pixels were eliminated for years $2001\sim2003$. Three-year means of cloud-corrected annual GPP were 1836, 1369, and 1460g C $m^{-2}y^{-1}$ for evergreen needleleaf forest, deciduous broadleaf forest, and mixed forest, respectively. The cloud-originated errors were 8.5%, 13.1%, and 8.4% for FPAR, LAI, and GPP, respectively. Summertime errors from June to September explained by 78% of the annual accumulative errors in GPP. This study indicates that cloud-originated errors should be mitigated for practical use of MODIS vegetation products to monitor seasonal and annual changes in plant phonology and vegetation production in Korea.
Keywords
Cloud contamination; MODIS; Plant phenology; Primary production;
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