干旱地区农业研究2026，Vol.44Issue(2)：79-93,15.DOI:10.7606/j.issn.1000-7601.2026.02.08
无人机不同飞行高度对滴灌棉花花铃期冠层温度提取精度的影响
Influence of different UAV flight altitudes on the accuracy of canopy temperature extraction during drip-irrigated cotton flowering and boll-setting stage
摘要
Abstract
Taking drip-irrigated cotton at the flowering and boll-setting stage as the research subject,this study focuses on the impact of flight altitude on the accuracy of canopy temperature extraction.The study acquired thermal infrared images of the cotton canopy at the flowering and boll-setting stage under water treatment intervals of 3 days,5 days,7 days,and 12 days per cycle at flight altitudes of 12 m,20 m,30 m,50 m,and 70 m.Canopy temperature information was extracted using the top and bottom 1％elimination method,the low-frequency 0.5％elimination method,and the low-frequency 1％elimination method to analyze the effects of different outlier removal approaches on extraction accuracy.The results showed that for low-altitude extraction(12～30 m),the low-fre-quency 0.5％elimination method yielded the highest accuracy,with the fitted models between extracted canopy temperature and measured temperature achieving R2 values of 0.874 and 0.934,and RMSE values of 2.435 and 2.171 over two years,respectively.For high-altitude extraction(50～70 m),the top and bottom 1％elimination method performed best,with R2 values of 0.833 and 0.914,and RMSE values of 3.904 and 3.859 over two years,respectively.A flight altitude of 30 m was identified as the optimal height for cotton canopy temperature extraction,with R2 values of 0.863 and 0.720,and RMSE values of 2.424 and 3.664 for the fitted models between image-de-rived canopy temperature and measured temperature in 2023 and 2024,respectively.In summary,a study on ex-tracting cotton canopy temperature during the flowering and boll-setting stage was conducted using differential tem-perature outlier removal methods for different flight altitudes.The results indicated that combining a flight altitude of 30 m with the low-frequency 0.5％removal method was the optimal approach for cotton canopy temperature extrac-tion during this period.This method significantly improved the extraction accuracy of cotton canopy temperature from UAV thermal infrared imagery,with prediction accuracy increasing by 70.71％in 2023 and 4.03％in 2024.关键词
无人机/飞行高度/棉花/花铃期冠层温度/提取精度/滴灌Key words
unmanned aerial vehicle/flight altitude/cotton/canopy temperature during the flowering and boll-setting stage/extraction accuracy/drip irrigation分类
农业科技引用本文复制引用
刘雨,慈宝霞,高雪松,罗洪洋,张吕夥,刘扬,马富裕..无人机不同飞行高度对滴灌棉花花铃期冠层温度提取精度的影响[J].干旱地区农业研究,2026,44(2):79-93,15.基金项目
新疆生产建设兵团重点领域科技攻关计划项目(2025AB081) （2025AB081）
石河子大学自主立项科研项目(ZZZC2023011 2024-2025) （ZZZC2023011 2024-2025）
