Application of APSIM model in winter wheat growth monitoring

文献类型： 外文期刊

第一作者： Tan, Yunlong

作者： Tan, Yunlong;Chen, Junjie;Tan, Yunlong;Cheng, Enhui;Peng, Dailiang;Feng, Xuxiang;Zhang, Bing;Cheng, Enhui;Peng, Hao;Cheng, Enhui;Peng, Dailiang;Zhao, Bin;Xie, Qiaoyun;Peng, Hao;Li, Cunjun;Lu, Chuang;Li, Yong;Li, Yong

作者机构：

关键词： winter wheat; vegetation index; remote sensing; growth monitoring; cultivated land management

期刊名称：FRONTIERS IN PLANT SCIENCE （ 影响因子：4.8； 五年影响因子：5.7 ）

ISSN： 1664-462X

年卷期： 2024 年 15 卷

页码：

收录情况： SCI

摘要： In the past, the use of remote sensing for winter wheat growth monitoring mainly relied on the relative growth assessment of a single vegetation index, such as normalized Vegetation index (NDVI). This study advanced the methodology by integrating field-measured data with Sentinel-2 data. In addition to NDVI, it innovatively incorporated two parameters, aboveground biomass (AGB) and leaf area index (LAI), for a more comprehensive relative growth assessment. Furthermore, the study employed the agricultural production systems simulator (APSIM) model to use LAI and AGB for absolute growth monitoring. The results showed that the simulated LAI and AGB closely match the field-measured values throughout the entire growth period of winter wheat under various conditions (R-2 > 0.9). For relative growth monitoring, NDVI showed significant linear positive correlations (r > 0.74 and P< 0.05) with both LAI and AGB simulated by the APSIM model. Overall, this research shows that LAI and AGB obtained from the APSIM model provide a more detailed and accurate approach to monitoring of winter wheat growth. This improved monitoring capability can support effective land management arable and provide technical guidance to advance precision agriculture practices.

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