3D Radiative Transfer Modelling of Forest Canopies Reconstructed from Terrestrial Laser Scanning: A Case of Tall Australian Eucalypts
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F86652079%3A_____%2F23%3A00583090" target="_blank" >RIV/86652079:_____/23:00583090 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/IGARSS52108.2023.10281746" target="_blank" >http://dx.doi.org/10.1109/IGARSS52108.2023.10281746</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/IGARSS52108.2023.10281746" target="_blank" >10.1109/IGARSS52108.2023.10281746</a>
Alternative languages
Result language
angličtina
Original language name
3D Radiative Transfer Modelling of Forest Canopies Reconstructed from Terrestrial Laser Scanning: A Case of Tall Australian Eucalypts
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10511 - Environmental sciences (social aspects to be 5.7)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)
ISBN
979-8-3503-2010-7
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
2683-2686
Publisher name
IEEE
Place of publication
Pasadena
Event location
Pasadena
Event date
Jul 16, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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