基于高分一号影像数据的水稻定量施肥可视化
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S127

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安徽高校自然科学研究重点项目(KJ2016A173)、新疆建设兵团绿洲生态重点实验室开放课题发展(201903)和企业委托研发类课题(880141)


Visualization of quantitative fertilization of rice based on image data of GF-1
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    摘要:

    为提高水稻施肥便捷和精准的生产管理能力,实现实时监测和决策一体的可视化定量施肥,本文利用高分一号卫星遥感影像数据,研究了以多种典型植被指数的水稻分蘖期、拔节期和抽穗期等关键生育时期的氮素营养诊断模型,临界诊断植被指数值和定量追肥模型,并实现了氮素营养诊断和定量施肥推荐的可视化表达。研究结果表明:水稻最优诊断植被指数分蘖期、拔节期和抽穗期分别为GWDRVI(R2=0.7554)、GDVI(R2=0.7204)和DVI(R2=0.6386),其临界诊断值分别为-0.384、0.658和0.782;水稻总施氮量为298.4kg/hm2,最佳经济施肥量285.5kg/hm2,最高产量11168.5 kg/hm2,最佳经济产量11155.6 kg/hm2;建立了定量追肥模型:分蘖期 y=-26.74x-10.27,拔节期y=-38.42x+19.21,抽穗期y=-148.32x+115.99。水稻关键生育时期的氮素营养诊断和定量模型的建立,为实现定量施肥可视化表达提供了理论依据。

    Abstract:

    In order to improve the ability of convenient and precise production and management of rice fertilization and realize the visualized quantitative fertilization integrated with real-time monitoring and decision-making, this paper studies the nitrogen nutrition diagnosis model, critical diagnosis vegetation index value and quantitative topdressing model of rice growth period such as tillering period, jointing period and heading period with a variety of typical vegetation indexes by using the remote sensing image data of gaofen-1 satellite And the visualization expression of nitrogen nutrition diagnosis and quantitative fertilization recommendation was realized. The results showed that the optimal diagnosis vegetation index of rice was GWDRVI(R2=0.7554)、GDVI(R2=0.7204)和DVI(R2=0.6386)at tillering stage, jointing stage and heading stage, respectively, with critical diagnosis values of -0.384, 0.658 and 0.782, total nitrogen application of 298.4kg/hm2, optimal economic fertilization of 285.5kg/hm2, maximum yield of 11168.5kg/hm2 and optimal economic yield of 11155.6kg/hm2, Jianjian The model of quantitative topdressing was established: tillering stage y = -26.74x-10.27, jointing stage y = -38.42x + 19.21, heading stage y = -148.32x + 115.99. The diagnosis of nitrogen nutrition and the establishment of quantitative model in the critical growth period of rice provide theoretical basis for the visualization of quantitative fertilization.

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李新伟,陶新宇,马露露,等. 基于高分一号影像数据的水稻定量施肥可视化[J]. 科学技术与工程, 2020, 20(19): 7622-7626.
Li Xinwei, Tao Xinyu, Ma Lulu, et al. Visualization of quantitative fertilization of rice based on image data of GF-1[J]. Science Technology and Engineering,2020,20(19):7622-7626.

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  • 收稿日期:2020-01-07
  • 最后修改日期:2020-03-31
  • 录用日期:2020-02-26
  • 在线发布日期: 2020-07-28
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