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| DOI：10.13522/j.cnki.ggps.2022268 |
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| Monitoring Winter Wheat Growth and Analyzing Its Determinants Using High-Resolution Satellite Imagery |
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WANG Le, FAN Yanguo, FAN Bowen, WANG Yong
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1. China University of Petroleum (East China), Qingdao 266580, China;
2. Harbin Engineering University, Harbin 150001, China; 3. Yantai Geographic Information Center, Yantai 264000, China
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| Abstract: |
| 【Objective】Winter wheat is the second-largest stable crop in China and comprehending its growth and the factors affecting it on a large scale is crucial for food security. This paper aims to investigate the feasibility of using satellite imagery to accomplish this objective.【Method】The study is based on Sentinel-2 images. The spatial distribution of winter wheat planted from 2018 to 2020 in the studied region was extracted using the random forest method, which were then used to analyze the changes in wheat growth in rejuvenation, jointing, pregnant ear pumping, and flowering stages in each year. For comparison, we divided the growth into health growth, normal growth and poor growth. Wheat growth was linked to 11 abiotic and geographic factors, including temperature, precipitation, slope of the lands, slope aspect, elevation, soil type, soil moisture, sunshine time, population density, rural labor resources and GDP.【Result】Compared with 2018—2019, wheat in 2020 grew better during the greening and jointing stages in more than 90% of the studied area, but worse in the pregnant ear pumping stage in more than 20% of the studied area. Wheat growth was normal during the flowering stage in 80% of the studied area. The factors which affect winter wheat growth were ranked in the following order based on their significance: rural labor resources> soil moisture> precipitation> temperature> sunshine time. It was also found that the interaction between different factors in their impact on wheat growth is manifested as a bifold or nonlinear enhancement.【Conclusion】The change in winter wheat growth in the studied region is due to the complex interplay of multiple factors. |
| Key words: winter wheat; area extraction; growth monitoring; geographic detector; Weishan Irrigation District |
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