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

• Published in: Geo-spatial information science Vol. 27; no. 3; pp. 744 - 760
• Main Authors: Zhang, Jiaqi, Zhao, Tianjie, Tan, Shurun, Rodriguez-Fernandez, Nemesio, Xue, Huazhu, Yang, Na, Kerr, Yann, Shi, Jiancheng
• Format: Journal Article
• Language: English
• Published: Taylor & Francis 03.05.2024; Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing,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%School of Surveying and Land Information Engineering,Henan Polytechnic University,Jiaozuo,China%National Space Science Center,Chinese Academy of Sciences,Beijing,China; School of Surveying and Land Information Engineering,Henan Polytechnic University,Jiaozuo,China; Taylor & Francis Group
• Subjects: biomass; Continental interfaces, environment; effective scattering albedo; Sciences of the Universe; Tau-omega; Tor Vergata; Vegetation Optical Depth (VOD); vegetation water content; effective scattering albedo; Tor Vergata; biomass; Tau-omega; vegetation water content; Vegetation Optical Depth(VOD); Vegetation Optical Depth (VOD); Tauomega
• ISSN: 1009-5020; 1993-5153
• DOI: 10.1080/10095020.2023.2275616

The two vegetation transfer parameters of $\tau $ τ (Vegetation Optical Depth,VOD) and $\omega $ 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 investigated. In this study, we investigate the channel dependence of vegetation effects on microwave 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 vegetation optical depth due to incidence angle adjustments. The channel dependence of vegetation optical depth can be described as the polarization dependence parameter ( ${C_P}$ C P ) and the frequency dependence parameter ( ${C_f}$ C f ). These two parameters enable the calculation of vegetation 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 vegetation 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 vegetation effects on microwave emissions from soils, ultimately advancing the accuracy of large-scale soil moisture retrieval in vegetated areas.