Backscattering Coefficients Modeling for Glacier in Microwave Remote Sensing

Modeling glacier stable region backscatter coefficients is an important research area in microwave remote sensing. We have developed a theoretical model for glacier backscattering coefficients, incorporating three key backscatter contributions-Fresnel reflection, geometric optics scattering, and small object rough surface scattering-to reference for in-orbit satellite calibration. By explicitly correlating the backscatter with the incident angle and surface roughness parameters, the model provides clear physical significance and facilitates the retrieval of geophysical parameters, such as glacier thickness and roughness. Using data-driven fitting and validation against satellite measurements, we demonstrate the model's simplicity, accuracy, and stability, underscoring its practical value for external calibration applications.

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Published
2025-05-23
DOI
https://doi.org/10.1109/iwrfat65352.2025.11102935
Primary Topic
Cryospheric studies and observations
Type
article
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article

Backscattering Coefficients Modeling for Glacier in Microwave Remote Sensing

Weidong Hu, Yuming Bai, Yutong Liu, Jiale Guo et al.
Cryospheric studies and observations
article

Backscattering Coefficients Modeling for Glacier in Microwave Remote Sensing

Weidong Hu, Yuming Bai, Yutong Liu, Jiale Guo, Jian Shang, Minghao Feng
article en

Abstract

Modeling glacier stable region backscatter coefficients is an important research area in microwave remote sensing. We have developed a theoretical model for glacier backscattering coefficients, incorporating three key backscatter contributions-Fresnel reflection, geometric optics scattering, and small object rough surface scattering-to reference for in-orbit satellite calibration. By explicitly correlating the backscatter with the incident angle and surface roughness parameters, the model provides clear physical significance and facilitates the retrieval of geophysical parameters, such as glacier thickness and roughness. Using data-driven fitting and validation against satellite measurements, we demonstrate the model's simplicity, accuracy, and stability, underscoring its practical value for external calibration applications.

Beijing Institute of Technology (CN), Beijing University of Posts and Telecommunications (CN), China Meteorological Administration (CN), Tangshan College (CN), National Institute of Metrology (CN)
Climate action
Openalex Percentile: Top 74%
Cryospheric studies and observations
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Backscattering Coefficients Modeling for Glacier in Microwave Remote Sensing — Weidong Hu, Yuming Bai, et al. · (2025) | TGRS Research Map | TGRS