根据无人机数据测量高度和太阳天顶角对小麦植被指数的影响

Aleksandr Ayurzhanaev, Yuriy Il'in, Bator Sodnomov, Margarita Zharnikova, Zhargalma B. Alymbaeva
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引用次数: 0

摘要

本研究的目的是评估在外贝加尔干旱气候条件下通过无人机测量数据获得的小麦颜色和光谱植被指数(VI)受测量高度和太阳天顶角的影响。任务:在太阳的不同位置对实验田进行多高度航拍;计算植被指数并对所获数据进行比较统计分析。研究于 2023 年 8 月 12 日在乌兰乌德市郊以 V.R. Filippov 命名的布里亚特国立农业学院培训和开垦基地进行。在一块面积为 600 平方米的试验田里播种了专为布里亚特共和国干旱条件培育的 Selenga 小麦品种。田地被分成 4 块,分别采用不同的灌溉和雨水灌溉方式。每条带都进行了 3 次氮磷钾试验,每次试验一式三份。依赖性评估在一个变体中进行,分为 20 个相同的部分,以保持样本的一致性。使用配备有 RGB 和多光谱相机的无人驾驶飞行器,在太阳天顶角为 36.5 至 74.5°、海拔 40 至 200 米的高度对实验田的一个区段进行了勘测。计算了颜色和光谱 VI。颜色 VI 组 ExG-ExGR-GLI 和 ExR-NDI-VARI 以及光谱 VI 组 NDVI-RVI 和 SAVI-DVI 具有高度成对相关性(大于 0.99),因此可以相互替换。Wilcoxon 检验的结果普遍表明,在 14:10 至 17:30 这段最佳勘测时间段内,GLI、ExG、ExGR 以及 NDVI 和 SAVI 的平均 VI 值具有相似性。平均 VI 值随着高度的增加而降低,且差异显著,因此在监测作物状况时应考虑到测量高度。有必要为各种气候条件下的无人农业监测奠定科学基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
INFLUENCE OF SURVEYING ALTITUDE AND SOLAR ZENITH ANGLE ON WHEAT VEGETATION INDICES ACCORDING TO UAV DATA
The purpose of the study is to assess the influence of the survey altitude and the solar zenith angle on the color and spectral vegetation indices (VI) of wheat obtained from survey data from a UAV in the arid climate of Transbaikalia. Tasks: to perform multi-altitude aerial photography of the experimental field at different positions of the Sun; to calculate the VI and conduct a comparative statistical analysis of the obtained data. The study was carried out at the training and reclamation site of the Buryat State Agricultural Academy named after V.R. Filippov in the suburbs of Ulan-Ude on August 12, 2023. An experimental field with an area of 600 m2 is sown with Selenga wheat variety, bred for the arid conditions of the Republic of Buryatia. The field is divided into 4 strips with different levels of irrigation and rainfed option. Each lane is represented by 3 NPK experiments in triplicate. The assessment of dependencies was carried out within one variant, divided into 20 identical segments in order to maintain sample homogeneity. The survey of a section of the experimental field was carried out at altitudes from 40 to 200 m at solar zenith angles from 36.5 to 74.5° using UAVs equipped with RGB and multispectral cameras. Color and spectral VIs were calculated. The groups of color VIs ExG-ExGR-GLI and ExR-NDI-VARI and spectral VIs NDVI-RVI and SAVI-DVI are mutually interchangeable due to their high pairwise correlation (more than 0.99). The results of the Wilcoxon test generally showed the similarity of the average VI values of GLI, ExG, ExGR, as well as NDVI and SAVI during the period from 14:10 to 17:30, which is optimal for surveying. The average VI va¬lues decrease with height and differ significantly, so the surveying altitude should be taken into account when monitoring the condition of crops. It is necessary to develop the scientific foundations of unmanned agricultural monitoring in various climatic conditions.
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