Assimilating a synthetic Kalman filter leaf area index series into the WOFOST model to improve regional winter wheat yield estimation

文献类型： 外文期刊

第一作者： Huang, Jianxi

作者： Huang, Jianxi;Ma, Hongyuan;Li, Xinlu;Zhang, Xiaodong;Huang, Jianxi;Sedano, Fernando;Liang, Shunlin;Huang, Yanbo;Liang, Shunlin;Tian, Liyan;Fan, Jinlong;Wu, Wenbin

作者机构：

关键词： WOFOST;Leaf area index;Kalman filter;Ensemble Kalman filter;Winter wheat;Yield estimation

期刊名称：AGRICULTURAL AND FOREST METEOROLOGY （ 影响因子：5.734； 五年影响因子：5.964 ）

ISSN：

年卷期：

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收录情况： SCI

摘要： The scale mismatch between remote sensing observations and state variables simulated by crop growth models decreases the reliability of crop yield estimates. To overcome this problem, we implemented a two-step data-assimilation approach: first, we generated a time series of 30-m-resolution leaf area index (LAI) by combining Moderate Resolution Imaging Spectroradiometer (MODIS) data and three Landsat TM images with a Kalman filter algorithm (the synthetic KF LAI series); second, the time series were assimilated into the WOFOST crop growth model to generate an ensemble Kalman filter LAI time series (the EnKF-assimilated LAI series). The synthetic EnKF LAI series then drove the WOFOST model to simulate winter wheat yields at 1-km resolution for pixels with wheat fractions of at least 50%. The county-level aggregated yield estimates were compared with official statistical yields. The synthetic KF LAI time series produced a more realistic characterization of LAI phenological dynamics. Assimilation of the synthetic KF LAI series produced more accurate estimates of regional winter wheat yield (R-2 = 0.43; root-mean-square error (RMSE) = 439 kg ha(-1)) than three other approaches: WOFOST without assimilation (determination coefficient R-2 = 0.14; RMSE= 647 kg ha(-1)), assimilation of Landsat TM LAI (R-2 = 0.37; RMSE = 472 kg ha(-1)), and assimilation of S-G filtered MODIS LAI (R-2 = 0.49; RMSE = 1355 kg ha(-1)). Thus, assimilating the synthetic KF LAI series into the WOFOST model with the EnKF strategy provides a reliable and promising method for improving regional estimates of winter wheat yield. (C) 2015 Elsevier B.V. All rights reserved.

分类号： S1

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