title: [Regional scale remote sensing-based yield estimation of winter wheat by using MODIS-NDVI data: a case study of Jining City in Shandong Province].
abstract: Taking Jining City of Shandong Province, one of the most important winter wheat production regions in Huanghuaihai Plain as an example, the winter wheat yield was estimated by using the 250 m MODIS-NDVI data smoothed by Savitzky-Golay filter. The NDVI values between 0. 20 and 0. 80 were selected, and the sum of NDVI value for each county was calculated to build its relation with winter wheat yield. By using stepwise regression method, the linear regression model between NDVI and winter wheat yield was established, with the precision validated by the ground survey data. The results showed that the relative error of predicted yield was between -3.6% and 3.9%, suggesting that the method was relatively accurate and feasible.
authors.affiliation: College of Resources and Environment, China Agricultural University, Beijing 100094, China. hebjqren1975@126.com
authors.forename: Jianqiang
authors.initials: J
authors.lastname: Ren
authors.forename: Zhongxin
authors.initials: Z
authors.lastname: Chen
authors.forename: Huajun
authors.initials: H
authors.lastname: Tang
mesh_terms: D018533:Biomass; D002681:China; D017753:Ecosystem; D040362:Geographic Information Systems; D016014:Linear Models; D017215:Satellite Communications; D012621:Seasons; D014908:Triticum / Q000254:growth & development*