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

Viewed

Total article views: 1,464 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,052 346 66 1,464 62 91
  • HTML: 1,052
  • PDF: 346
  • XML: 66
  • Total: 1,464
  • BibTeX: 62
  • EndNote: 91
Views and downloads (calculated since 04 Jan 2026)
Cumulative views and downloads (calculated since 04 Jan 2026)

Viewed (geographical distribution)

Total article views: 1,464 (including HTML, PDF, and XML) Thereof 1,462 with geography defined and 2 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 08 Jun 2026
Download
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.
Share