%0 Journal Article
%T AfResearch on Remote Sensing-Meteorological Model for Wheat Yield Estimation<br>小麦单产的遥感—气象综合模式研究
%A Li Fuqin- Tian Guoliang
%A <br>李付琴
%A 田国良
%J 遥感学报
%D 1993
%I 
%X In growing season, from planting to havest of crop is a complicated process. There are many factors that influence the final yield which is a comprehensive response of various factors, such as environmental conditions, biological factors and agricultural management and techni-gue etc. Thus, remote sensing information or meteorological data doee not reflects the conditions of crop growth actually. In this paper, an example in Shunyi County, Beijing, is given, and a winter wheat yield comprehensive model is proposed. The model is combined Perpendicular Vegetation Index (PVI) with meteorological data. A grey-system model G (0, 2) and successive corrected methods were used to establish a remote sensing- meteorological model for estimating winter wheat yield. By using multitemporal NOAA-AVHRR imageries and air temperature, the average accuracy of yield estimation is improved 7% in comprehensive model than in PVI model only.
%K Remote sensing Winter wheat yield estimation Grey-system model Successive multiplied model<br>遥感
%K 冬小麦估产
%K 灰色系统模型
%K 阶乘模型
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=E62459D214FD64A3C8082E4ED1ABABED5711027BBBDDD35B&cid=A41A70F4AB56AB1B&jid=F926358B31AC94511E4382C083F7683C&aid=AE93F01CF7CCE09BA03E88FC2962E92C&yid=D418FDC97F7C2EBA&iid=38B194292C032A66&journal_id=1007-4619&journal_name=遥感学报&referenced_num=0&reference_num=0