Mr. Yazhen Jiang Profile

Yazhen Jiang

at Univ of Chinese Academy of Sciences

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SPIE Journal Paper | 6 February 2018

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

Yazhen Jiang, Xiaoguang Jiang, Songcai You, Chen Ru

JARS, Vol. 12, Issue 02, 022205, (February 2018) https://doi.org/10.1117/12.10.1117/1.JRS.12.022205

KEYWORDS: Climatology, MODIS, Vegetation, Remote sensing, Environmental sensing, Data modeling, Statistical analysis, Agriculture, Temperature metrology, Reflectivity

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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.

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