Regional scale remote sensing-based yield estimation of winter wheat by using MODIS-NDVI data: A case study of Jining City in Shandong Province
基于MODIS-NDVI的区域冬小麦遥感估产——以山东省济宁市为例

Taking Jining City of Shandong Province, one of the most important winter wheat production regions in Huanghuathai 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.