【摘 要】
：
Terrestrial Net Primary Productivity(NPP)is very important in global change study.One key way is to make simulation in regional and global scale based on remote sensing data.In this study,we used the
【机 构】
：
Center for Dryland Water Resources Research and Watershed Science,Key Laboratory of West China's En
【出 处】
：
IGU2013 International Conference on Water Sustainability in
论文部分内容阅读
Terrestrial Net Primary Productivity(NPP)is very important in global change study.One key way is to make simulation in regional and global scale based on remote sensing data.In this study,we used the reconstructed 16-day 0.05°MODIS NDVI product(MOD13C1),0.05°gridded GLDAS(Global Land Data Assimilation System)meteorological data and land use map to estimate the NPP in China during 2002-2010.
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