PROSAIL5B‐DR: A Radiative Transfer Model Extension for Dust Retention Effects on Vegetation Spectra

Abstract Dust deposition on urban vegetation alters canopy spectral reflectance and can reduce the reliability of parameter retrieval based on radiative transfer models (RTMs). However, conventional RTMs, including the coupled PROSPECT–SAIL (PROSAIL) model, do not explicitly represent these external optical effects. We developed PROSAIL5B‐DR by incorporating a dust‐induced absorption term into the leaf absorption coefficient, allowing dust effects to propagate to canopy reflectance. The dust mass‐specific absorption coefficient was calculated using the Mie theory. We evaluated model performance across dust retention levels, vegetation types, and urban environments. PROSAIL5B‐DR reproduced canopy spectral responses more accurately than PROSAIL5B while preserving the original model structure. It also reduced the simulation bias that increased with dust retention without adding redundant parameters. Explicitly representing retained particulate matter therefore improves canopy spectral simulations and provides a physically based approach for assessing vegetation optical properties in polluted urban environments.

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Publication Details

Journal
Journal of Geophysical Research Atmospheres
Published
2026-10-13
DOI
https://doi.org/10.1029/2026jd047328
Primary Topic
Remote Sensing in Agriculture
Type
article
Field-Weighted Citation Impact
0.00

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article

PROSAIL5B‐DR: A Radiative Transfer Model Extension for Dust Retention Effects on Vegetation Spectra

Wenpeng Lin, Mijun Zou, Wei Yang, Yi Xiong et al.
Journal of Geophysical Research Atmospheres
Remote Sensing in Agriculture
article

PROSAIL5B‐DR: A Radiative Transfer Model Extension for Dust Retention Effects on Vegetation Spectra

Wenpeng Lin, Mijun Zou, Wei Yang, Yi Xiong, Yiwen Shi, Yi Wang, Youqi Xu, Yiting Ding
article en

Abstract

Abstract Dust deposition on urban vegetation alters canopy spectral reflectance and can reduce the reliability of parameter retrieval based on radiative transfer models (RTMs). However, conventional RTMs, including the coupled PROSPECT–SAIL (PROSAIL) model, do not explicitly represent these external optical effects. We developed PROSAIL5B‐DR by incorporating a dust‐induced absorption term into the leaf absorption coefficient, allowing dust effects to propagate to canopy reflectance. The dust mass‐specific absorption coefficient was calculated using the Mie theory. We evaluated model performance across dust retention levels, vegetation types, and urban environments. PROSAIL5B‐DR reproduced canopy spectral responses more accurately than PROSAIL5B while preserving the original model structure. It also reduced the simulation bias that increased with dust retention without adding redundant parameters. Explicitly representing retained particulate matter therefore improves canopy spectral simulations and provides a physically based approach for assessing vegetation optical properties in polluted urban environments.

Journal of Geophysical Research AtmospheresVol. 131(20)
Shanghai Normal University (CN), Nanjing University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 16%
Remote Sensing in Agriculture
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