SILVO, a lightweight 3D illumination model to characterise the spatial structure of heterogeneous vegetation canopies

• Simplified 3D illumination model with minimal canopy structural inputs. • Efficient ray tracing generates vertical density and gap fraction profiles. • Provides structural metrics to support more realistic parameterisation of 1D RTMs. In the framework of vegetation modelling, the accurate representation of spatial heterogeneity is a challenge for remotely sensed radiative transfer models (RTMs). On the one hand, one-dimensional RTMs are highly realistic on homogeneous surfaces but have limitations when modelling complex structures, while three-dimensional RTMs, although physically detailed, have a high computational cost and greater complexity in parameterisation. In this paper, we present the SILVO (Simplified Light-Vegetation Overlay) model as a streamlined ray-tracing tool that allows the generation of basic spatial metrics (gap fraction, scene vegetation density) on a geometrical representation of the canopy. The model is driven by a simplified scene description and solar illumination conditions, and has been implemented in parallel with OpenMP to provide a computationally efficient solution. The results obtained in a real heterogeneous forest scene demonstrate the ability of the model to capture the essential aspects of the canopy’s spatial structure, facilitating the extension of 1D RTMs for more realistic representations of heterogeneous canopies. An indicative comparison with LiDAR-derived structural proxies is also reported (R 2 = 0.774 for vertical vegetation density; NRMSE = 11.7% for gap fraction), while acknowledging that this does not constitute a full validation exercise. As it is an active project, and in search of integration with future developments, its code is available under the AGPL license in a public repository.

Authors

Institutions

Publication Details

Journal
International Journal of Applied Earth Observation and Geoinformation
Published
2026-02-24
DOI
https://doi.org/10.1016/j.jag.2026.105178
Primary Topic
Remote Sensing and LiDAR Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

SILVO, a lightweight 3D illumination model to characterise the spatial structure of heterogeneous vegetation canopies

A. Hornero, E. Prikaziuk, R. Hernandez-Clemente, C. van der Tol
International Journal of Applied Earth Observation and Geoinformation
Remote Sensing and LiDAR Applications
article

SILVO, a lightweight 3D illumination model to characterise the spatial structure of heterogeneous vegetation canopies

A. Hornero, E. Prikaziuk, R. Hernandez-Clemente, C. van der Tol
article en

Abstract

• Simplified 3D illumination model with minimal canopy structural inputs. • Efficient ray tracing generates vertical density and gap fraction profiles. • Provides structural metrics to support more realistic parameterisation of 1D RTMs. In the framework of vegetation modelling, the accurate representation of spatial heterogeneity is a challenge for remotely sensed radiative transfer models (RTMs). On the one hand, one-dimensional RTMs are highly realistic on homogeneous surfaces but have limitations when modelling complex structures, while three-dimensional RTMs, although physically detailed, have a high computational cost and greater complexity in parameterisation. In this paper, we present the SILVO (Simplified Light-Vegetation Overlay) model as a streamlined ray-tracing tool that allows the generation of basic spatial metrics (gap fraction, scene vegetation density) on a geometrical representation of the canopy. The model is driven by a simplified scene description and solar illumination conditions, and has been implemented in parallel with OpenMP to provide a computationally efficient solution. The results obtained in a real heterogeneous forest scene demonstrate the ability of the model to capture the essential aspects of the canopy’s spatial structure, facilitating the extension of 1D RTMs for more realistic representations of heterogeneous canopies. An indicative comparison with LiDAR-derived structural proxies is also reported (R 2 = 0.774 for vertical vegetation density; NRMSE = 11.7% for gap fraction), while acknowledging that this does not constitute a full validation exercise. As it is an active project, and in search of integration with future developments, its code is available under the AGPL license in a public repository.

International Journal of Applied Earth Observation and GeoinformationVol. 147
Consejo Superior de Investigaciones Científicas (ES), The University of Melbourne (AU), Swansea University (GB), Instituto de Agricultura Sostenible (ES), University of Córdoba (ES), Victoria University (AU), University of Twente (NL)
Life in Land
Openalex Percentile: Top 54%
Remote Sensing and LiDAR Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.