Du et al. (2026) Geometric Representation of Wet Snow Through a Tricontinuous Random Composite and Its Scattering Characterization With the Discrete Dipole Approximation
Identification
- Journal: IEEE Transactions on Geoscience and Remote Sensing
- Year: 2026
- Date: 2026-01-01
- Authors: Jiayi Du, Xin Lv, Yuanhao Cao, Jian Cheng Shi, Shan Tan
- DOI: 10.1109/tgrs.2026.3672171
Research Groups
This paper introduces a geometric representation of wet snow using a tricontinuous random composite and characterizes its electromagnetic scattering properties with the Discrete Dipole Approximation.
Objective
- To develop a geometric representation of wet snow through a tricontinuous random composite.
- To characterize the scattering properties of this wet snow model using the Discrete Dipole Approximation.
Study Configuration
- Spatial Scale:
- Temporal Scale:
Methodology and Data
- Models used: Tricontinuous Random Composite, Discrete Dipole Approximation (DDA)
- Data sources:
Main Results
Contributions
Funding
Citation
@article{Du2026Geometric,
author = {Du, Jiayi and Lv, Xin and Cao, Yuanhao and Shi, Jian Cheng and Tan, Shan},
title = {Geometric Representation of Wet Snow Through a Tricontinuous Random Composite and Its Scattering Characterization With the Discrete Dipole Approximation},
journal = {IEEE Transactions on Geoscience and Remote Sensing},
year = {2026},
doi = {10.1109/tgrs.2026.3672171},
url = {https://doi.org/10.1109/tgrs.2026.3672171}
}
Original Source: https://doi.org/10.1109/tgrs.2026.3672171