%0 Journal Article
%T Estimation of net primary productivity in China using remote sensing data<br>城市绿量测算模式及信息系统
%A SUN Rui
%A ZHU Qi-jiang
%A <br>周坚华
%J 地理学报
%D 2001
%I 
%X 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.
%K three
%K dimentional vegetation quantity
%K database management system
%K spatial location
%K window
%K appearing<br>绿化三维量
%K 遥感测算模式
%K 空间定位
%K 信息管理系统
%K 城市
%K 绿量数据库
%K 绿化结构
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=E62459D214FD64A3C8082E4ED1ABABED5711027BBBDDD35B&cid=869B153A4C6B5B85&jid=F7B5B947C24B9D649491012214E4BEF4&aid=F38EBF06DCF17675&yid=14E7EF987E4155E6&vid=708DD6B15D2464E8&iid=CA4FD0336C81A37A&sid=F3583C8E78166B9E&eid=EA389574707BDED3&journal_id=0375-5444&journal_name=地理学报&referenced_num=41&reference_num=13