A Simulation Study Using Terrestrial LiDAR Point Cloud Data to Quantify Spectral Variability of a Broad-Leaved Forest Canopy

Primer Autor
Cifuentes, Renato
Co-autores
Van der Zande, Dimitry#Salas-Eljatib, Christian#Farifteh, Jamshid#Coppin, Pol
Título
A Simulation Study Using Terrestrial LiDAR Point Cloud Data to Quantify Spectral Variability of a Broad-Leaved Forest Canopy
Editorial
MDPI
Revista
SENSORS
Lenguaje
en
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.
Tipo de Recurso
Artículo original
Description
This research was funded by Federaal Wetenschapsbeleid (BELSPO) project HYPERFOREST SR/00/134. The APC was funded by Universidad Mayor.
doi
10.3390/s18103357
Formato Recurso
pdf
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
Ubicación del archivo
http://dx.doi.org/10.3390/s18103357
Categoría OCDE
Chemistry, Analytical# Engineering, Electrical & Electronic# Instruments & Instrumentation
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
Id de Web of Science
WOS:000448661500185
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
Identificador del recurso (Mandatado-único)
Artículo original
Versión del recurso (Recomendado-único)
version publicada
Editorial
MDPI
Revista/Libro
SENSORS
Categoría WOS
Química Analítica# Ingeniería Eléctrica y Electrónica# Instrumentos e instrumentación
Idioma
en
Referencia del Financiador (Mandatado si es aplicable-repetible)
Federaal Wetenschapsbeleid HYPERFOREST SR/00/134
Descripción
This research was funded by Federaal Wetenschapsbeleid (BELSPO) project HYPERFOREST SR/00/134. The APC was funded by Universidad Mayor.
Formato
pdf
Tipo de ruta
dorada#verde
Access Rights
acceso abierto
Derechos de acceso
acceso abierto
License
CC BY
Página de inicio (Recomendado-único)
691
Página final (Recomendado-único)
702
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