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Characterizing the channel dependence of vegetation effects on microwave emissions from soils

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The two vegetation transfer parameters of τ(Vegetation Optical Depth,VOD)and ω(Omega)could vary significantly across microwave channels in terms of frequencies,polarizations,and incidence angles,and their channel-dependent characteristics have not yet been fully investi-gated.In this study,we investigate the channel dependence of vegetation effects on micro-wave emissions from soils using a higher-order vegetation radiative transfer model of Tor Vergata.Corn was selected as the subject of investigation,and a corn growth model was developed utilizing field data collected from the multifrequency and multi-angular ground-based microwave radiation experiment from the Soil Moisture Experiment in the Luan River(SMELR).Upon compilation of the simulation dataset of microwave emissions of the corn field,the effective scattering albedo across different channels were calculated using the Tor Vergata model.Results show that vertical polarization of the vegetation optical depth is more affected by incidence angle changes,while horizontal polarization exhibits lower variations in vegeta-tion optical depth due to incidence angle adjustments.The channel dependence of vegetation optical depth can be described as the polarization dependence parameter(Cp)and the frequency dependence parameter(Cf).These two parameters enable the calculation of vegeta-tion optical depth at any channel under three adjacent frequencies(L-band,C-band and X-band).The effective scattering albedo of vegetation does not vary significantly with vegeta-tion height or angle.It primarily depends on frequency and polarization,showing an overall increasing trend with increasing frequency.The effective scattering albedo with vertical polarization is slightly higher than that with horizontal polarization at higher frequencies,while both are lower in the L-band.This investigation is helpful for understanding the vegeta-tion effects on microwave emissions from soils,ultimately advancing the accuracy of large-scale soil moisture retrieval in vegetated areas.

Vegetation Optical Depth(VOD)effective scattering albedovegetation water contentbiomassTau-omegaTor Vergata

Jiaqi Zhang、Tianjie Zhao、Shurun Tan、Nemesio Rodriguez-Fernandez、Huazhu Xue、Na Yang、Yann Kerr、Jiancheng Shi

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School of Surveying and Land Information Engineering,Henan Polytechnic University,Jiaozuo,China

Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing,China

Zhejiang University/University of Illinois at Urbana-Champaign(ZJU-UIUC)Institute,Zhejiang University,Haining,China

Centre d'Etudes Spatiales de la Biosphère(CESBIO),Université de Toulouse(CNES/CNRS/INRAE/IRD/UPS),Toulouse,France

National Space Science Center,Chinese Academy of Sciences,Beijing,China

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2024

10.1080/10095020.2023.2275616

地球空间信息科学学报(英文版)
武汉大学（原武汉测绘科技大学）

地球空间信息科学学报(英文版)

影响因子：0.207
ISSN：1009-5020
年,卷(期)：2024.27(3)