Estimating the Net Primary Productivity in China Using Meteorological Satellite Data

Abstract

Abstract: Net primary productivity (NPP) is one of the cruces for global changes studies, utilizing remote sensing data from meteorological satellite is an objective way to estimate NPP. Usually, the normalized difference vegetation index (NDVI) is derived from channel 1 and channel 2 of NOAA/AVHRR to monitor vegetation. Using the processed annual NDVIs, the authors could estimate the NPP values from an experimental model. The result showed that NPP derived from NDVIs was highly compatible to that estimated in the conventional way.

Key words: Vegetation, Remote sensing, Net primary productivity, Transition zone sensitive to climate change

Xiao Qian-guang, Chen Wei-ying, Sheng Yong-wei and Guo Liang. Estimating the Net Primary Productivity in China Using Meteorological Satellite Data[J]. J Integr Plant Biol., 1996, 38(1): -.

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Estimating the Net Primary Productivity in China Using Meteorological Satellite Data

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