基于无人机可见光遥感的冬小麦株高估算  

Estimation of Plant Height of Winter Wheat Based on UAV Visible Image

作　　者：刘治开 牛亚晓 王毅[1,2] 韩文霆 LIU Zhikai;NIU Yaxiao;WANG Yi;HAN Wenting(College of Mechanical and Electronic Engineering,Northwest A&F University,Yangling,Shaanxi 712100,China;Key Laboratory of Agriculture Internet of Things,Ministry of Agriculture,Yangling,Shaanxi 712100,China;Institute of Soil and Water Conservation,Northwest A&F University,Yangling,Shaanxi 712100,China)

机构地区：[1]西北农林科技大学机械与电子工程学院,陕西杨凌712100 [2]农业部农业物联网重点试验室,陕西杨凌712100 [3]西北农林科技大学水土保持研究所,陕西杨凌712100

出　　处：《麦类作物学报》2019年第7期859-866,共8页Journal of Triticeae Crops

基　　金：国家重点研发计划项目(2017YFC0403203);自治区科技支疆项目(2016E02105);西北农林科技大学学科重点建设项目(2017-C03);陕西省水利科技项目(2017SLKJ-7)

摘　　要：株高是作物生长过程中重要的生长指标。为探索快速准确获取作物株高的方法,利用无人机可见光图像采集系统,获取冬小麦拔节期至成熟期的高清数码图像,建立冬小麦拔节期、抽穗期、灌浆期及成熟期的作物数字表面模型(digital surface models,DSM)及作物高度模型(crop height model,CHM),并对模型进行验证。结果表明,冬小麦株高各生育时期CHM提取值与地面实测值极显著相关(P<0.01),误差为-0.10~0.09m,相对误差为17.64%~19.60%。株高预测值与实测值拟合性较高(R^2=0.82,RMSE=4.31cm)。这说明用无人机拍摄的高清数码影像可快速估算冬小麦的株高。Plant height is an important growth indicator which is generally measured by ground observation.This study used the UAV visible spectral image acquisition system to obtain the plant height more quickly and accurately.The high-definition digital images of wheat from jointing stage to maturity were collected.The crop digital surface model and plant height model were set up.The results showed that plant height derived from CHM at different growth stages was significantly related to the actual plant height( P <0.01,R^2=0.82,RMSE=4.31 cm),with the range of error -0.10 m-0.09 m,and the average relative error 17.64%-19.60%.It was feasible to use the UAV to obtain high-definition digital images which helped to estimate the wheat plant height quickly and accurately.This study provided a reference for rapid and accurate detection of agronomic trait in large areas.

关 键 词：小麦 株高 遥感 无人机 数字表面模型 

分 类 号：S512.1[农业科学—作物学] S314