Xinjiang Agricultural Sciences ›› 2024, Vol. 61 ›› Issue (6): 1468-1476.DOI: 10.6048/j.issn.1001-4330.2024.06.021

• Plant Protection • Soil Fertilizero Water Saving Irrigation • Previous Articles     Next Articles

Study on extraction of apple tree crown width at different flight altitudes using multi-spectral UAV

ZHANG Zhenfei1(), GUO Jing2, YAN An1(), YUAN Yilin1, XIAO Shuting1, HOU Zhengqing1, SUN Zhe1   

  1. 1. College of Resources and Environment, Xinjiang Agricultural University, Urumqi 830052, China
    2. Institute of Landscape Architecture, Xinjiang Academy of Forestry Sciences, Urumqi 830092, China
  • Received:2023-10-28 Online:2024-06-20 Published:2024-08-08
  • Correspondence author: YAN An
  • Supported by:
    PResearch on Key Techniques for Cold Resistance in Major Fruit Trees Such as Xinjiang Apricots (Prunus armeniaca) and Plums (Prunus domestica × armeniaca)(2023B02026)

基于多光谱无人机不同飞行高度下苹果树冠幅信息的提取

张振飞1(), 郭靖2, 颜安1(), 袁以琳1, 肖淑婷1, 侯正清1, 孙哲1   

  1. 1.新疆农业大学资源与环境学院,乌鲁木齐 830052
    2.新疆林业科学院园林绿化研究所,乌鲁木齐 830092
  • 通讯作者: 颜安
  • 作者简介:张振飞(1998-),男,河南安阳人,硕士研究生,研究方向为农业信息化,(E-mail)1291716283@qq.com
  • 基金资助:
    新疆杏李、杏等主要果树抗寒关键技术研究(2023B02026)

Abstract:

【Objective】 The objective of this study is to segment and extract the crown information by using the multi-spectral image of the UAV, so as to realize the monitoring of the apple tree crown information, and analyze the influence of the UAV flight height on the extraction accuracy of the crown. 【Methods】 The DJI Phantom 4 multi-spectral UAV was used to capture multi-spectral images of apple trees at flight altitudes of 30, 60, and 90 m. The acquired images were processed using DJI Terra software to generate Digital Orthophoto Maps (DOM) and Digital Surface Models (DSM). The multi-scale segmentation method and threshold-based classification were utilized to segment the apple tree crowns and extract the east-west and north-south crown width values of the target trees. The accuracy of the segmentation and extraction results was validated by comparing them with visual interpretation of segmented crowns and field measurements of crown widths for 100 apple trees. 【Results】 At a flight altitude of 30 m, the accuracy of individual crown segmentation was 84.00%. The average extraction accuracy of the east-west and north-south crown widths was 91.15%. The average R-squared value (R2) was 0.7859, and the average root mean square error (RMSE) was 0.216 6 m. At a flight altitude of 60m, the accuracy of individual crown segmentation was 81.00%. The average extraction accuracy of the crown widths was 90.31%. The average R2 was 0.7376, and the average RMSE was 0.241 6 m. At a flight altitude of 90m, the accuracy of individual crown segmentation was 73.00%. The average extraction accuracy of the crown widths was 88.88%. The average R2 was 0.710 2, and the average RMSE was 0.267 6 m. 【Conclusion】 The study concludes that the use of multi-spectral UAV remote sensing technology enables the monitoring of apple tree crown information possible. The results also indicate that flight altitude has a certain impact on the extraction accuracy. As the UAV flight altitude increases, the accuracy of individual crown segmentation and extraction of crown widths gradually decrease. UAV remote sensing technology offers the advantages of low cost, rapid data acquisition, and high accuracy, which can significantly improve the efficiency of orchard management for fruit growers.

Key words: multi-spectral; UAV; flight altitude; apple tree; crown

摘要:

【目的】利用无人机多光谱影像分割并提取苹果树树冠冠幅信息,实现无人机遥感技术监测苹果树树冠信息,并分析无人机飞行高度对冠幅提取精度的影响。【方法】利用大疆精灵4多光谱无人机分别获取30、60和90m飞行高度的苹果树多光谱影像,经大疆智图(DJI Terra)软件处理生成DOM和DSM影像数据,利用多尺度分割法和阈值分类对苹果树树冠进行分割并提取目标树的东西、南北冠幅值,以目视解译分割树冠和实地测量的100株果树冠幅值为参考进行精度验证。【结果】30 m飞行高度的单木树冠分割准确率为84.00%,东西、南北冠幅平均提取精度为91.15%,平均R2为0.785 9,平均RMSE为0.216 6 m;60 m飞行高度的单木树冠分割准确率为81.00%,东西、南北冠幅平均提取精度为90.31%,平均R2为0.737 6,平均RMSE为0.241 6 m;90 m飞行高度的单木树冠分割准确率为73.00%,东西、南北冠幅平均提取精度为88.88%,平均R2为0.710 2, 平均RMSE为0.267 6 m。【结论】利用多光谱无人机遥感技术可以实现对苹果树树冠信息的监测;飞行高度对提取结果有一定的影响,随着无人机飞行高度的增加,单木分割准确率和冠幅提取精度逐渐降低。无人机遥感技术成本低、快速、准确,可以提高果园的管理效率。

关键词: 多光谱, 无人机, 飞行高度, 苹果树, 树冠

CLC Number: