基于多源遥感数据的冬小麦倒伏面积提取技术研究
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1.山东省气象防灾减灾重点实验室;2.德州市陵城区气象局;3.德州市气象局;4.山东省气候中心

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山东省气象局科学技术研究项目重点项目(2023sdqxz12)


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Study on extraction of lodging area of wheat based on multi-source remote sensing data
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1.Key Laboratory for Meleorological Disaster Prerention and Mitigation of Shandong;2..Lingcheng Meteorological Bureau

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    摘要:

    倒伏是小麦常见灾害。为快速准确地提取冬小麦倒伏面积,以德州两次冬小麦倒伏过程为研究案例,采用高分六号卫星数据和哨兵一号合成孔径雷达数据,根据倒伏小麦与正常小麦光谱特征的不同,实现冬小麦倒伏面积精准提取。结果表明,对正常小麦和倒伏小麦进行光谱分析,在高分六号影像中后者绿光波段反射率和VH影像中后向散射强度均明显高于前者。基于此两种特征提取的冬小麦倒伏面积普遍大于实测面积,倒伏严重时,相对误差百分率在3.1%~4.6%之间。较之严重倒伏,轻度倒伏时提取的面积相对误差偏大;当倒伏与积水同时出现时,基于高分六号的提取结果更为准确。研究成果为进一步提高冬小麦倒伏面积提取精度提供了参考,也为及时做好冬小麦倒伏预防补救提供了数据支撑。

    Abstract:

    Lodging is a common disaster of wheat. In order to quickly and accurately extract the lodging area of winter wheat, two lodging processes of winter wheat in Dezhou were taken as research cases. The data of GF-6 satellite and Sentinel-1 synthetic aperture radar were used to extract the lodging area of winter wheat accurately according to the different spectral characteristics of lodging wheat and normal wheat..The results showed that spectral analysis of normal wheat and lodging wheat showed that the reflectance of the green light band in the Gaofen-6 image and the backscatter intensity in the VH image were significantly higher in the latter than in the former.The lodging area of winter wheat extracted from these two features was generally larger than the measured area. When lodging was serious, the relative error percentage ranged from 3.1% to 4.6%.Compared with severe lodging, the relative error of extraction is larger in mild lodging, and the extraction result based on Gf-6 was more accurate when lodging and stagnant water are present at the same time. The research results provide reference for further improving the precision of extracting lodging area of winter wheat, and also provide data support for timely prevention and remedy of winter wheat lodging.

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  • 收稿日期:2024-07-04
  • 最后修改日期:2024-10-31
  • 录用日期:2025-04-11
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