Qi et al. (2026) Evaluating Airborne LiDAR Data-Derived Canopy Geometry for 3-D Radiative Transfer Simulations

Identification

• Journal: IEEE Transactions on Geoscience and Remote Sensing
• Year: 2026
• Date: 2026-01-01
• Authors: Jianbo Qi, Xun Zhao, Ge Gao, Huaguo Huang, Donghui Xie, Jean-Philippe Gastellu-Etchegorry
• DOI: 10.1109/tgrs.2026.3662359

Research Groups

[Not specified in the provided text.]

Short Summary

This paper evaluates the utility of canopy geometry derived from airborne LiDAR data for its application in three-dimensional radiative transfer simulations.

Objective

• To assess the performance and suitability of airborne LiDAR-derived canopy geometry as input for 3-D radiative transfer simulations.

Study Configuration

• Spatial Scale: [Not specified in the provided text.]
• Temporal Scale: [Not specified in the provided text.]

Methodology and Data

• Models used: 3-D Radiative Transfer Simulations (general type).
• Data sources: Airborne LiDAR data (for canopy geometry).

Main Results

[Not specified in the provided text.]

Contributions

[Not specified in the provided text.]

Funding

[Not specified in the provided text.]

Citation

@article{Qi2026Evaluating,
  author = {Qi, Jianbo and Zhao, Xun and Gao, Ge and Huang, Huaguo and Xie, Donghui and Gastellu-Etchegorry, Jean-Philippe},
  title = {Evaluating Airborne LiDAR Data-Derived Canopy Geometry for 3-D Radiative Transfer Simulations},
  journal = {IEEE Transactions on Geoscience and Remote Sensing},
  year = {2026},
  doi = {10.1109/tgrs.2026.3662359},
  url = {https://doi.org/10.1109/tgrs.2026.3662359}
}