| 引用本文: | 王乐,樊彦国,樊博文,等.基于高分卫星的冬小麦长势监测及驱动因素分析[J].灌溉排水学报,0,():-. |
| wangle,fanyanguo,fanbowen,et al.基于高分卫星的冬小麦长势监测及驱动因素分析[J].灌溉排水学报,0,():-. |
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| 摘要: |
| 【目的】冬小麦作为我国第二大粮食作物，掌握其长势情况对于保障我国粮食安全具有积极意义。【方法】首先基于Sentinel-2影像，利用随机森林的方法提取研究区2018—2020年冬小麦种植的空间分布，并利用高分影像提取分析了冬小麦种植区域内2020年与2018年、2019年在返青期、起身拔节期、孕穗抽穗期、开花期的长势变化情况，之后将冬小麦长势变化分为长势较好、长势持平、长势较差3个等级进行对比分析；其次利用地理探测器对典型年份（2018年）的冬小麦长势监测结果与气温、降水量、坡度、坡向、高程、土壤类型、土壤湿度、日照时间、人口密度、乡村劳动力资源、GDP这11种驱动因子进行因子探测和交互探测，定量解释了影响冬小麦长势差异的原因。【结果】对比3 a冬小麦长势情况，2020年冬小麦在返青期与起身拔节期长势较好，面积占比为90%以上，而在孕穗抽穗期长势较差，面积占比为20%以上，在开花期长势持平，面积占比约80%。对冬小麦长势解释力较高的驱动因子的排列顺序为：乡村劳动力资源数>土壤湿度>降水量>气温>日照时间，各驱动因子之间的交互作用表现为双因子增强或非线性增强。【结论】冬小麦的长势变化受到多因素共同作用，是复杂因子交互作用的一种结果。 |
| 关键词: 冬小麦;面积提取;长势监测;地理探测器;位山灌区 |
| DOI： |
| 分类号:S127 |
| 基金项目:国家自然科学青年基金(42106215);山东省自然科学青年基金(ZR202103030691) |
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| Growth Monitoring and Driving Factor Analysis of Winter Wheat Based on High-resolution Satellite |
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wangle1, fanyanguo1, fanbowen2, wangyong3
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1.School of Ocean and Space Information, China University of Petroleum (East China);2.Harbin Engineering University School of Hydroacoustic Engineering;3.Yantai Geographic Information Center
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| Abstract: |
| 【Objective】As the second largest grain crop in China, winter wheat is of positive significance to ensure food security in China. 【Method】Firstly, based on Sentinel-2 images, the spatial distribution of winter wheat planting in the study area from 2018 to 2020 was extracted by random forest method, and the growth changes of winter wheat planting in 2020, 2018 and 2019 in the rejuvenation stage, jointing stage, pregnant ear pumping stage and flowering stage were analyzed by high-resolution image extraction, and then the growth changes of winter wheat were divided into three grades of good growth, flat growth and poor growth for comparative analysis. Secondly, the monitoring results of winter wheat growth in typical years (2018) and 11 driving factors, including temperature, precipitation, slope, aspect, elevation, soil type, soil moisture, sunshine time, population density, rural labor resources and GDP, were detected by geographic detectors to quantitatively explain the reasons affecting the difference in winter wheat growth. 【Result】Compared with the growth of 3 a winter wheat, the growth of winter wheat in 2020 was better in the greening stage and the jointing stage, accounting for more than 90% of the area, while the growth was worse in the pregnant ear pumping stage, accounting for more than 20% of the area, and the growth was flat in the flowering stage, accounting for about 80% of the area. The driving factors with high explanatory power for winter wheat growth were arranged in the following order: rural labor resources> soil moisture> precipitation> temperature> sunshine time, and the interaction between the driving factors was two-factor enhancement or nonlinear enhancement. 【Conclusion】The growth change of winter wheat is a result of the interaction of complex factors by multiple factors. |
| Key words: winter wheat; area extraction; growth monitoring; geographic detector;Weishan Irrigation District |
