Estimating winter wheat planting area in north China driven by the East Asia monsoon

文献类型： 外文期刊

第一作者： Jiang, Yazhen

作者： Jiang, Yazhen;Jiang, Xiaoguang;Ru, Chen;Jiang, Yazhen;Jiang, Xiaoguang;You, Songcai

作者机构：

关键词： moderate-resolution imaging spectroradiometer-enhanced veget ation index;winter wheat;monsoon climate;phenology

期刊名称：JOURNAL OF APPLIED REMOTE SENSING （ 影响因子：1.53； 五年影响因子：1.565 ）

ISSN： 1931-3195

年卷期： 2018 年 12 卷

页码：

收录情况： SCI

摘要： Mapping and monitoring cropland areas and distributions from remote sensing data could provide early warning information of threats to the global and regional food security. Winter wheat is traditionally the most cultivated food crop in China, and the Huang-Huai-Hai (HHH) plain is an important winter wheat production base. Due to a long latitudinal distance, the same winter wheat growth stage delays from the north to the south of the plain. Influenced by the monsoon climate, isolines of the winter wheat phenology are oriented in a northeast-southwest direction, which is similar to that of the temperature distribution. In this paper, Moderate Resolution Imaging Spectroradiometer-enhanced vegetation index (EVI) was applied to estimate the winter wheat planting information on the HHH plain, using a model built according to seasonal change of the winter wheat EVI. The result shows that the average accuracy of the estimation was 75.4% with a standard deviation of 26.1%, when the impacts from the phenology delay and the monsoon climate were not considered. When winter wheat phenology delay was considered with and without the influences from the monsoon climate, the accuracy was 93.2% with a standard deviation of 6.1% and 84.7% with a standard deviation of 11.0%, respectively. The accuracy increased evidently. Therefore, both the phenology delay and monsoon climate impacts should be taken into consideration when estimating the winter wheat planting information in a large monsoon climate region. (C) 2018 Society of Photo-Optical Instrumentation Engineers (SPIE)

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