REGIONAL YIELD PREDICTION OF WINTER WHEAT BASED ON RETRIEVAL OF LEAF AREA INDEX BY REMOTE SENSING TECHNOLOGY

文献类型： 外文期刊

第一作者： Ren, Jianqiang

作者： Ren, Jianqiang;Chen, Zhongxin;Zhou, Qingbo;Ren, Jianqiang;Chen, Zhongxin;Zhou, Qingbo;Yang, Xiaomei;Liu, Xingren

作者机构：

关键词： Leaf area index;MODIS NDVI;yield prediction;winter wheat;Gaussian model;Savitzky-Golay filter

期刊名称：2009 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-5

ISSN： 2153-6996

年卷期： 2009 年

页码：

收录情况： SCI

摘要： In this paper, the authors had a research on the winter wheat yield estimation using retrieved LAI from remote sensing in typical 11 counties in Huanghuaihai Plain in North China. In order to improve the quality of data and reduce error of yield estimation, Savitzky-Golay filter (S-G filter) was used to smooth the NDVI series to reduce influences of cloud contamination and abnormal data At the same time. Gaussian model was used to simulate daily crop LAI to get average LAI at each growth stage Using these average LAI, the authors established relationships between LAI and yield of winter wheat at main growth stage After optimization of yield estimation model, the best period of time and-best model was selected out Finally, the authors depended on retrieved LAI from MODIS-NDVI to estimate winter wheat yield. The results showed that average relative error was 1 21% and that RMSE was 257 33 kg ha(-1) comparing predicted yield with ground truth data We draw a conclusion that we could accurately get winter wheat yield about 20 - 30 days ahead of harvest time

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