寒旱农业科学2025，Vol.4Issue(5)：467-472,6.DOI:10.3969/j.issn.2097-2172.2025.05.013
基于无人机超高分辨率高精度定位遥感影像的棉花株高预测初报
Preliminary Report of Cotton Plant Height Prediction Based on UAV Ultra-high-resolution High-precision Positioning Remote Sensing Image
摘要
Abstract
Rapid,non-destructive,and high-throughput acquisition of cotton plant height in the field during its growth periods is critical for modeling and supports efficient detection technology.This study utilized a low-altitude remote sensing platform composed of a DJI Wizard 4 RTK UAV equipped with a high-definition digital camera to capture ultra-high-resolution remote sensing images of cotton fields(GSD=0.33 cm/pixel),from which a digital surface model(DSM)was generated.Simultaneously,the height of 1 126 cotton plants at the flowering and boll setting stage was measured and the tops of the cotton plants were positioned with centimetre-level high accuracy by portable Lite RTK.After regression analysis between DSM and measured plant height(H),it was found that there was a significant linear regression relationship between them(R2=0.88,RMSE=8.49 cm),indicating that cotton plant height predicted from DSM achieves high accuracy.关键词
无人机/棉花/株高/高分辨率Key words
UAV/Cotton/Plant height/High resolution分类
农业科技引用本文复制引用
董丽珺,伍维模,孙淑珍,佐日古丽·阿卜杜克热木,李建成,赵长巍,支金虎..基于无人机超高分辨率高精度定位遥感影像的棉花株高预测初报[J].寒旱农业科学,2025,4(5):467-472,6.基金项目
新疆维吾尔自治区重点研发计划项目(2022B02053-2). （2022B02053-2）
