红边位置估测玉米叶片叶绿素含量算法的比较
Comparison of Methods for Estimating Chlorophyll Content in Maize Leaves by Red Edge Position
唐彧哲 1晋永芬 2吴凌波 2闫东 3张雪梅 4李斐1
作者信息
- 1. 内蒙古农业大学草原与资源环境学院/内蒙古自治区土壤质量与养分资源重点实验室,呼和浩特 010018
- 2. 鄂尔多斯市农牧技术推广中心,内蒙古鄂尔多斯 017200
- 3. 内蒙古自治区农牧业技术推广中心,呼和浩特 010010
- 4. 杭锦旗农牧技术推广中心,内蒙古鄂尔多斯 017400
- 折叠
摘要
基于两年大田试验数据,系统分析和评价红边位置算法在估测叶绿素时的稳定性.结果表明,最大一阶导数(FD)和拉格朗日内插法(LAGR)受双峰现象的影响不能准确估测玉米叶片叶绿素含量,倒高斯拟合法(1G)、线性插值法(LI)和线性外推法(LE)估测精度较高但普适性和稳定性较差.基于小波变换方法(WT)提取的红边位置模型在预测玉米叶片叶绿素累积量方面表现出色,对叶片叶绿素含量变化最为敏感,预测的精度最高,并且具有更高的稳定性和普适性,可为今后大面积玉米养分精准监测提供理论和技术基础.
Abstract
In this study,based on the two-year field test data,the stability of red edge position algorithm in esti-mating chlorophyll was systematically analyzed and evaluated.The results showed that the maximum first derivative(FD)and Lagrangian interpolation(LAGR)could not accurately estimate the chlorophyll content of maize leaves due to the bimodal phenomenon.Inverse Gaussian(IG),linear interpolation(LI)and linear extrapolation(LE)have higher estimation accuracy but poor universality and stability.The red edge position model extracted based on the wavelet transform method(WT)has excellent performance in predicting the chlorophyll accumulation of maize leaves.It is the most sensitive to the change of leaf chlorophyll content,has the highest prediction accuracy,and has higher sta-bility and universality.It provides a theoretical and technical basis for accurate monitoring of nutrients in a large ar-ea of maize in the future.
关键词
玉米/叶绿素含量/红边位置Key words
Maize/Chlorophyll content/Red edge position引用本文复制引用
基金项目
内蒙古"科技兴蒙"重点专项(KJXM-EEDS-2020010-02)
内蒙古自治区科技计划(2021GG0201)
出版年
2024
NETL
NSTL
万方数据