3D Radiative Transfer Modelling of Forest Canopies Reconstructed from Terrestrial Laser Scanning: A Case of Tall Australian Eucalypts

0583090 - ÚVGZ 2024 RIV US eng C - Conference Paper (international conference)
Malenovský, Z. - Lamsal, K. - Janoutová, Růžena - Devereux, T. - Woodgate, W. - Cimoli, E. - Lucieer, A. - Homolová, Lucie - Reagieg, O. - Wang, I. - Gastellu-Etchegorry, J. P.
3D Radiative Transfer Modelling of Forest Canopies Reconstructed from Terrestrial Laser Scanning: A Case of Tall Australian Eucalypts.
IEEE International Symposium on Geoscience and Remote Sensing (IGARSS). Pasadena: IEEE, 2023 - (Bosch-Lluis, J.), s. 2683-2686. ISBN 979-8-3503-2010-7.
[IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium. Pasadena (US), 16.07.2023-21.07.2023]
Research Infrastructure: CzeCOS IV - 90248
Institutional support: RVO:86652079
Keywords : uncrewed aerial system * drone * imaging spectroscopy * hyperspectral * fluspect-cx * chlorophyll a+b * carotenoids * anthocyanin
OECD category: Environmental sciences (social aspects to be 5.7)

In this study, we demonstrated feasibility of a full three-dimensional (3D) reconstruction of a spatially and structurally heterogeneous forest stand of tall Australian eucalypt trees from terrestrial laser scanning (TLS) of individual trees. We provide a direct validation of the Discrete Anisotropic Radiative Transfer (DART) model bidirectional Monte Carlo path tracing (DART-Lux) by comparing a drone-based hyperspectral acquisition of the studied forest with a corresponding DART forward simulation. Finally, we successfully retrieved from a drone hyperspectral imagery contents of leaf chlorophylls a+b (Cab), total carotenoids (Ccar), and anthocyanins (Cant) for sunlit parts of the eucalypt canopy with random forest regressions trained on 2268 spectral simulations of the study site carried out in coupled Fluspect-Cx and DART models.
Permanent Link: https://hdl.handle.net/11104/0351087