Advancing 3D radiative transfer of conifers: Evaluation of spruce shoot reflectance modelling with high resolution structural and optical data
Accurately simulating shoot-scale light scattering in physically based radiative transfer models remains a key challenge for conifer ecosystems. This study evaluates the high-resolution three-dimensional (3D) radiative transfer capability of the Discrete Anisotropic Radiative Transfer (DART) model using laboratory reflectance measurements and detailed photogrammetric reconstructions of Norway spruce ( Picea abies (L.) H. Karst) shoots. Samples representing multiple age classes and crown positions were collected from temperate (Czech Republic) and hemiboreal (Estonia) Norway spruce stands. Their geometry was reconstructed with sub-millimetre accuracy using structured blue-light 3D scanning, while the optical properties of needles and twigs were measured using an integrating sphere. We measured shoot reflectance under controlled laboratory illumination and compared it to DART simulations based on the identical 3D structures and optical inputs. DART simulations accurately reproduced the measured spectral signatures (R 2 = 0.95; median spectral angle mapper = 4.8°), demonstrating the model's capacity to simulate shoot-scale reflectance across diverse viewing geometries. These results suggest that detailed 3D shoot representations can improve radiative transfer modelling accuracy, and that DART efficiently simulates shoot reflectance across diverse viewing geometries as an alternative to labour-intensive goniometer measurements. This work provides the first empirical evaluation of DART at the shoot-scale and establishes a transferable framework for integrating detailed 3D photogrammetry into radiative transfer modelling. This approach enables more accurate upscaling from the conifer needle to the canopy-level and can enhance future model intercomparison exercises, such as the Radiation Transfer Model Intercomparison benchmark. • First empirical validation of DART simulation of conifer shoots. • High-resolution blue-light photogrammetry captures realistic shoot architecture. • DART-simulated reflectance closely matches laboratory measurements. • Framework enables realistic needle-to-canopy upscaling in radiative transfer models.
Authors
- Tomáš Hanousek (ORCID: https://orcid.org/0000-0002-6230-6246)
- Lucie Homolová (ORCID: https://orcid.org/0000-0001-7455-2834)
- Joel Kuusk (ORCID: https://orcid.org/0000-0001-7565-1244)
- Nicolas Lauret (ORCID: https://orcid.org/0000-0003-0594-6252)
- Mirjam Uusõue
- Růžena Janoutová (ORCID: https://orcid.org/0000-0003-1830-7556)
- Petr Lukeš
- Jean Philippe Gastellu-Etchegorry
- Oleksandr Borysenko
- Jan Pisek
Institutions
- Centre National de la Recherche Scientifique (FR)
- Université Toulouse III - Paul Sabatier (FR)
- Université Fédérale de Toulouse Midi-Pyrénées (FR)
- Masaryk University (CZ)
- Tartu Observatory (EE)
- Centre d'Études Spatiales de la Biosphère (FR)
- Czech Academy of Sciences, Global Change Research Institute (CZ)
- Institut de Recherche pour le Développement (FR)
- University of Tartu (EE)
Publication Details
- Journal
- Remote Sensing of Environment
- Published
- 2026-04-25
- DOI
- https://doi.org/10.1016/j.rse.2026.115440
- Primary Topic
- Remote Sensing in Agriculture
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Eesti Teaduste Akadeemia
- Ministerstvo Školství, Mládeže a Tělovýchovy
- Eesti Teadusagentuur
- Akademie Věd České Republiky
- Masarykova Univerzita