Teng et al. (2025) A dual-band parametric method for angular normalization of land surface thermal radiation for single-angle thermal infrared image

Identification

• Journal: Remote Sensing of Environment
• Year: 2025
• Date: 2025-10-22
• Authors: Yuanjian Teng, Huazhong Ren, Songyi Lin, Fengguang Li, Yunzhu Tao, Xue Zhong, Qiming Qin
• DOI: 10.1016/j.rse.2025.115089

Research Groups

• Institute of Remote Sensing and Geographic Information System, School of Earth and Space Sciences, Peking University, Beijing 100871, China
• Beijing Key Lab of Spatial Information Integration and Its Application, Peking University, Beijing 100871, China
• School of Geography, South China Normal University, Guangzhou 510631, China
• Department of Geography and Environment, University of Western Ontario, London, ON N6A 5C2, Canada

Short Summary

This study develops a dual-band parametric angular normalization (DPAN) method to correct the thermal radiation directionality (TRD) effect in single-angle thermal infrared remote sensing data, demonstrating its effectiveness in reducing angular effects and enabling operational land surface temperature product normalization without requiring multi-angle or multi-temporal observations.

Objective

• To develop and validate a dual-band parametric angular normalization (DPAN) method to correct the thermal radiation directionality (TRD) effect in single-angle thermal infrared remote sensing data, thereby improving the consistency and comparability of land surface temperature products.

Study Configuration

• Spatial Scale: Global (implied by "global application" and use of satellite data like MODIS).
• Temporal Scale: Applicable to single-angle observations, but designed to improve consistency for long-term temporal data series.

Methodology and Data

• Models used: Dual-band Parametric Angular Normalization (DPAN) method, based on a physical model.
• Data sources: Simulation dataset; actual Moderate Resolution Imaging Spectroradiometer (MODIS) data.

Main Results

• The DPAN method corrects an average of 62 % of thermal radiation angular effects.
• Maximum corrections reached 66–68 %, with minimum corrections approximately 47–49 % under various input parameter errors.
• A wavelength difference of 2–3.5 µm is found to be optimal for the dual-band setting.
• When applied to MODIS data, the method achieved a radiative brightness temperature root mean square difference (RMSD) of approximately 1.3 K.
• Maximum correction for MODIS data exceeded 8 K.
• Temperature corrections typically surpassed 1 K when the view zenith angle exceeded 40°.

Contributions

• Developed a novel dual-band parametric angular normalization (DPAN) method based on a physical model.
• The method requires neither multi-angle nor multi-temporal observations, allowing direct application to any satellite dataset with at least two thermal infrared bands.
• Satisfies essential requirements for operational angular normalization of satellite-derived land surface temperature products, indicating strong potential for widespread implementation.

Funding

• Not specified in the provided text.

Citation

@article{Teng2025dualband,
  author = {Teng, Yuanjian and Ren, Huazhong and Lin, Songyi and Li, Fengguang and Tao, Yunzhu and Zhong, Xue and Qin, Qiming},
  title = {A dual-band parametric method for angular normalization of land surface thermal radiation for single-angle thermal infrared image},
  journal = {Remote Sensing of Environment},
  year = {2025},
  doi = {10.1016/j.rse.2025.115089},
  url = {https://doi.org/10.1016/j.rse.2025.115089}
}