Estimation of net primary productivity in China using remote sensing data

It is significant to estimate terrestrial net primary productivity (NPP) accurately not only for global change research, but also for natural resources management to achieve sustainable development. Remote sensing data can describe spatial distribution of plant resources better. So, in this paper an NPP model based on remote sensing data and climate data is developed. And 1km resolution AVHRR NDVI data are used to estimate the spatial distribution and seasonal change of NPP in China. The results show that NPP estimated using remote sensing data are more close to truth. Total annual NPP in China is 2.645*109 tC. The spatial distribution of NPP in China is mainly affected by precipitation and has the trend of decreasing from southeast to northwest.

作 者： SUN Rui ZHU Qi-jiang   作者單位： Dept. of Resources and Environment Sciences, Beijing Normal University,  刊 名： 地理學(xué)報(bào)(英文版)  ISTIC SCI 英文刊名： JOURNAL OF GEOGRAPHICAL SCIENCES  年，卷(期)： 2001 11(1)  分類號(hào)： X87 P935.1 Q948  關(guān)鍵詞：  

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