Ren Jianqiang, Chen Zhongxin, Tang Huajun
College of Resources and Environment, China Agricultural University, Beijing 100094, China.
Ying Yong Sheng Tai Xue Bao. 2006 Dec;17(12):2371-5.
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.
以山东省济宁市为例，该市是黄淮海平原最重要的冬小麦产区之一，利用Savitzky-Golay滤波器平滑后的250米MODIS-NDVI数据估算冬小麦产量。选取0.20至0.80之间的NDVI值，计算各县NDVI值总和以建立其与冬小麦产量的关系。采用逐步回归法建立NDVI与冬小麦产量的线性回归模型，并用地勘数据验证其精度。结果表明，预测产量的相对误差在-3.6%至3.9%之间，表明该方法相对准确可行。
