Fine-Scale Quantification of the Effect of Maize Tassel on Canopy Reflectance with 3D Radiative Transfer Modeling

Author:

Jiang Youyi1,Cheng Zhida12,Yang Guijun2,Zhao Dan2,Zhang Chengjian2,Xu Bo2,Feng Haikuan2ORCID,Feng Ziheng2,Ren Lipeng2,Zhang Yuan12,Yang Hao2ORCID

Affiliation:

1. College of Geomatics, Xi’an University of Science and Technology, Xi’an 710054, China

2. Key Laboratory of Quantitative Remote Sensing in Agriculture of Ministry of Agriculture and Rural Affairs, Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China

Abstract

Quantifying the effect of maize tassel on canopy reflectance is essential for creating a tasseling progress monitoring index, aiding precision agriculture monitoring, and understanding vegetation canopy radiative transfer. Traditional field measurements often struggle to detect the subtle reflectance differences caused by tassels due to complex environmental factors and challenges in controlling variables. The three-dimensional (3D) radiative transfer model offers a reliable method to study this relationship by accurately simulating interactions between solar radiation and canopy structure. This study used the LESS (large-scale remote sensing data and image simulation framework) model to analyze the impact of maize tassels on visible and near-infrared reflectance in heterogeneous 3D scenes by modifying the structural and optical properties of canopy components. We also examined the anisotropic characteristics of tassel effects on canopy reflectance and explored the mechanisms behind these effects based on the quantified contributions of the optical properties of canopy components. The results showed that (1) the effect of tassels under different planting densities mainly manifests in the near-infrared band of the canopy spectrum, with a variation magnitude of ±0.04. In contrast, the impact of tassels on different leaf area index (LAI) shows a smaller response difference, with a magnitude of ±0.01. As tassels change from green to gray during growth, their effect on reducing canopy reflectance increases. (2) The effect of maize tassel on canopy reflectance varied with spectral bands and showed an obvious directional effect. In the red band at the same sun position, the difference in tassel effect caused by the observed zenith angle on canopy reflectance reaches 200%, while in the near-infrared band, the difference is as high as 400%. The hotspot effect of the canopy has a significant weakening effect on the shadow effect of the tassel. (3) The non-transmittance optical properties of maize tassels reduce canopy reflectance, while their high reflectance increases it. Thus, the dual effects of tassels create a game in canopy reflectance, with the final outcome mainly depending on the sensitivity of the canopy spectrum to transmittance. This study demonstrates the potential of using 3D radiative transfer models to quantify the effects of crop fine structure on canopy reflectance and provides some insights for optimizing crop structure and implementing precision agriculture management (such as selective breeding of crop optimal plant type).

Funder

National Key Research and Development Program of China

Natural Science Foundation of China

Special Fund for Construction of Scientific and Technological Innovation Ability of Beijing Academy of Agriculture and Forestry Sciences

Publisher

MDPI AG

Reference33 articles.

1. Detecting flowering phenology in oil seed rape parcels with Sentinel-1 and-2 time series;Taymans;Remote. Sens. Environ.,2020

2. Integrating spectral and textural information for identifying the tasseling date of summer maize using UAV based RGB images;Guo;Int. J. Appl. Earth Obs. Geoinf.,2021

3. Sowing dates effect on production of high yielding maize varieties;Liaqat;Sarhad J. Agric.,2018

4. Impact of irrigation and nitrogen fertilizer rate on soil water trends and maize evapotranspiration during the vegetative and reproductive periods;Rudnick;Agric. Water Manag.,2017

5. Variations in the sensitivity of us maize yield to extreme temperatures by region and growth phase;Butler;Environ. Res. Lett.,2015

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