河南农业科学2017，Vol.46Issue(6)：150-155,6.DOI:10.15933/j.cnki.1004-3268.2017.06.030
基于多生育期MODIS-NDVI的区域冬小麦遥感估产研究
Regional Scale Yield Estimation of Winter Wheat by Remote Sensing Using MODIS-NDVI Data in Different Growth Stages
摘要
Abstract
This study took Kaifeng city of Henan province as study area.The correlation between the sum of 16 d synthetic 250 m normalized difference vegetation index(NDVI) in winter wheat growth stages from 2005 to 2013 and winter wheat yield was analyzed to obtain the best phase of yield estimation by remote sensing to construct single variable regression model.Meanwhile,the multiple regression model based on NDVI of winter wheat in different growth stages was constructed.Then,the principal component analysis method was used to improve the parameters of multiple regression model.Finally,the yield data of Kaifeng city in 2014 was used to verify the yield estimation model,aiming to build the yield estimation model with higher precision,so as to better guide the wheat production.The results showed that the estimation errors of three models were controlled within 10.55%,according to the three models,the optimal period of yield estimation of winter wheat was in late March,ie,jointing stage,the principal component regression estimation model had the highest fitting precision of 93.12%,and had some practical value.关键词
遥感估产/MODIS/NDVI/回归模型/冬小麦Key words
yield estimation by remote sensing/MODIS/NDVI/regression model/winter wheat分类
农业科技引用本文复制引用
李冰,黎世民,周磊,黄灿辉,王来刚..基于多生育期MODIS-NDVI的区域冬小麦遥感估产研究[J].河南农业科学,2017,46(6):150-155,6.基金项目
河南省科技攻关重点项目(172102110090) （172102110090）
河南省农业科学院自主创新项目(2017ZC60) （2017ZC60）
