A Simulation Study Using Terrestrial LiDAR Point Cloud Data to Quantify Spectral Variability of a Broad-Leaved Forest Canopy
Primer Autor |
Cifuentes, Renato
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Co-autores |
Van der Zande, Dimitry#Salas-Eljatib, Christian#Farifteh, Jamshid#Coppin, Pol
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Título |
A Simulation Study Using Terrestrial LiDAR Point Cloud Data to Quantify Spectral Variability of a Broad-Leaved Forest Canopy
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Editorial |
MDPI
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Revista |
SENSORS
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Lenguaje |
en
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Resumen |
In this analysis, a method for construction of forest canopy three-dimensional (3D) models from terrestrial LiDAR was used for assessing the influence of structural changes on reflectance for an even-aged forest in Belgium. The necessary data were extracted by the developed method, as well as it was registered the adjacent point-clouds, and the canopy elements were classified. Based on a voxelized approach, leaf area index (LAI) and the vertical distribution of leaf area density (LAD) of the forest canopy were derived. Canopy-radiation interactions were simulated in a ray tracing environment, giving suitable illumination properties and optical attributes of the different canopy elements. Canopy structure was modified in terms of LAI and LAD for hyperspectral measurements. It was found that the effect of a 10% increase in LAI on NIR reflectance can be equal to change caused by translating 50% of leaf area from top to lower layers. As presented, changes in structure did affect vegetation indices associated with LAI and chlorophyll content. Overall, the work demonstrated the ability of terrestrial LiDAR for detailed canopy assessments and revealed the high complexity of the relationship between vertical LAD and reflectance.
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Tipo de Recurso |
Artículo original
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Description |
This research was funded by Federaal Wetenschapsbeleid (BELSPO) project HYPERFOREST SR/00/134. The APC was funded by Universidad Mayor.
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doi |
10.3390/s18103357
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Formato Recurso |
pdf
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Palabras Claves |
canopy structure# leaf area density# leaf area index# ray tracing# PBRT# vegetation index
canopy structure# leaf area density# leaf area index# ray tracing# PBRT# vegetation index
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Ubicación del archivo |
http://dx.doi.org/10.3390/s18103357
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Categoría OCDE |
Chemistry, Analytical# Engineering, Electrical & Electronic# Instruments & Instrumentation
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Materias |
estructura de dosel# densidad de área foliar# índice de área foliar# trazado de rayos# PBRT# índice de vegetación
estructura de dosel# densidad de área foliar# índice de área foliar# trazado de rayos# PBRT# índice de vegetación
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Id de Web of Science |
WOS:000448661500185
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Título de la cita (Recomendado-único) |
A Simulation Study Using Terrestrial LiDAR Point Cloud Data to Quantify Spectral Variability of a Broad-Leaved Forest Canopy
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Identificador del recurso (Mandatado-único) |
Artículo original
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Versión del recurso (Recomendado-único) |
version publicada
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Editorial |
MDPI
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Revista/Libro |
SENSORS
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Categoría WOS |
Química Analítica# Ingeniería Eléctrica y Electrónica# Instrumentos e instrumentación
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Idioma |
en
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Referencia del Financiador (Mandatado si es aplicable-repetible) |
Federaal Wetenschapsbeleid HYPERFOREST SR/00/134
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Descripción |
This research was funded by Federaal Wetenschapsbeleid (BELSPO) project HYPERFOREST SR/00/134. The APC was funded by Universidad Mayor.
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Formato |
pdf
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Tipo de ruta |
dorada#verde
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Access Rights |
acceso abierto
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Derechos de acceso |
acceso abierto
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License |
CC BY
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Página de inicio (Recomendado-único) |
691
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Página final (Recomendado-único) |
702
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