Articles | Volume 19, issue 8
https://doi.org/10.5194/gmd-19-3531-2026
https://doi.org/10.5194/gmd-19-3531-2026
Model description paper
 | 
30 Apr 2026
Model description paper |  | 30 Apr 2026

GSV-SRTS: a heterogeneous landscape soil-canopy reflectance model over sloping terrain with an extended GSV and stochastic radiative transfer theory

Siqi Li, Guyue Hu, Shaoda Li, Ronghao Yang, Junxiang Tan, Chenghao Liu, and Jinhu Bian

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Short summary
The GSV-SRTS (General spectral vector-stochastic radiative transfer model for sloping terrain)  simulates radiative transfer for heterogeneous mountain forests, addressing slope-induced uncertainties in remote sensing. Validations with benchmark models and satellite data confirm its accuracy in red/NIR bands and its capability to capture canopy-terrain effects, offering a reliable tool for improved biophysical retrieval.
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