Estimating Leaf Bulk Density Distribution in a Tree Canopy Using Terrestrial LiDAR and a Straightforward Calibration Procedure

Leaf biomass distribution is a key factor for modeling energy and carbon fluxes in forest canopies and for assessing fire behavior. We propose a new method to estimate 3D leaf bulk density distribution, based on a calibration of indices derived from T-LiDAR. We applied the method to four contrasted...

Full description

Bibliographic Details
Main Authors: François Pimont, Jean-Luc Dupuy, Eric Rigolot, Vincent Prat, Alexandre Piboule
Format: Article
Language:English
Published: MDPI AG 2015-06-01
Series:Remote Sensing
Subjects:
Online Access:http://www.mdpi.com/2072-4292/7/6/7995
_version_ 1819001903103606784
author François Pimont
Jean-Luc Dupuy
Eric Rigolot
Vincent Prat
Alexandre Piboule
author_facet François Pimont
Jean-Luc Dupuy
Eric Rigolot
Vincent Prat
Alexandre Piboule
author_sort François Pimont
collection DOAJ
description Leaf biomass distribution is a key factor for modeling energy and carbon fluxes in forest canopies and for assessing fire behavior. We propose a new method to estimate 3D leaf bulk density distribution, based on a calibration of indices derived from T-LiDAR. We applied the method to four contrasted plots in a mature Quercus pubescens forest. Leaf bulk densities were measured inside 0.7 m-diameter spheres, referred to as Calibration Volumes. Indices were derived from LiDAR point clouds and calibrated over the Calibration Volume bulk densities. Several indices were proposed and tested to account for noise resulting from mixed pixels and other theoretical considerations. The best index and its calibration parameter were then used to estimate leaf bulk densities at the grid nodes of each plot. These LiDAR-derived bulk density distributions were used to estimate bulk density vertical profiles and loads and above four meters compared well with those assessed by the classical inventory-based approach. Below four meters, the LiDAR-based approach overestimated bulk densities since no distinction was made between wood and leaf returns. The results of our method are promising since they demonstrate the possibility to assess bulk density on small plots at a reasonable operational cost.
first_indexed 2024-12-20T22:56:36Z
format Article
id doaj.art-7102e120f8404a96933470fcc8fb020b
institution Directory Open Access Journal
issn 2072-4292
language English
last_indexed 2024-12-20T22:56:36Z
publishDate 2015-06-01
publisher MDPI AG
record_format Article
series Remote Sensing
spelling doaj.art-7102e120f8404a96933470fcc8fb020b2022-12-21T19:24:06ZengMDPI AGRemote Sensing2072-42922015-06-01767995801810.3390/rs70607995rs70607995Estimating Leaf Bulk Density Distribution in a Tree Canopy Using Terrestrial LiDAR and a Straightforward Calibration ProcedureFrançois Pimont0Jean-Luc Dupuy1Eric Rigolot2Vincent Prat3Alexandre Piboule4Institut National de la Recherche Agronomique, UR 629, Ecologie des Forêts Méditerranéennes, Domaine Saint Paul, Site Agroparc, F-84914 Avignon Cedex 9, FranceInstitut National de la Recherche Agronomique, UR 629, Ecologie des Forêts Méditerranéennes, Domaine Saint Paul, Site Agroparc, F-84914 Avignon Cedex 9, FranceInstitut National de la Recherche Agronomique, UR 629, Ecologie des Forêts Méditerranéennes, Domaine Saint Paul, Site Agroparc, F-84914 Avignon Cedex 9, FranceInstitut National de la Recherche Agronomique, UR 629, Ecologie des Forêts Méditerranéennes, Domaine Saint Paul, Site Agroparc, F-84914 Avignon Cedex 9, FranceOffice National des Forêts, Département RDI-Pôle Nancy 11 Rue de l'île de Corse, F-54000 Nancy, FranceLeaf biomass distribution is a key factor for modeling energy and carbon fluxes in forest canopies and for assessing fire behavior. We propose a new method to estimate 3D leaf bulk density distribution, based on a calibration of indices derived from T-LiDAR. We applied the method to four contrasted plots in a mature Quercus pubescens forest. Leaf bulk densities were measured inside 0.7 m-diameter spheres, referred to as Calibration Volumes. Indices were derived from LiDAR point clouds and calibrated over the Calibration Volume bulk densities. Several indices were proposed and tested to account for noise resulting from mixed pixels and other theoretical considerations. The best index and its calibration parameter were then used to estimate leaf bulk densities at the grid nodes of each plot. These LiDAR-derived bulk density distributions were used to estimate bulk density vertical profiles and loads and above four meters compared well with those assessed by the classical inventory-based approach. Below four meters, the LiDAR-based approach overestimated bulk densities since no distinction was made between wood and leaf returns. The results of our method are promising since they demonstrate the possibility to assess bulk density on small plots at a reasonable operational cost.http://www.mdpi.com/2072-4292/7/6/7995forest fuelQuercus pubescensphase-shift LiDARmixed pixelsfilteringLiDAR wavelength
spellingShingle François Pimont
Jean-Luc Dupuy
Eric Rigolot
Vincent Prat
Alexandre Piboule
Estimating Leaf Bulk Density Distribution in a Tree Canopy Using Terrestrial LiDAR and a Straightforward Calibration Procedure
Remote Sensing
forest fuel
Quercus pubescens
phase-shift LiDAR
mixed pixels
filtering
LiDAR wavelength
title Estimating Leaf Bulk Density Distribution in a Tree Canopy Using Terrestrial LiDAR and a Straightforward Calibration Procedure
title_full Estimating Leaf Bulk Density Distribution in a Tree Canopy Using Terrestrial LiDAR and a Straightforward Calibration Procedure
title_fullStr Estimating Leaf Bulk Density Distribution in a Tree Canopy Using Terrestrial LiDAR and a Straightforward Calibration Procedure
title_full_unstemmed Estimating Leaf Bulk Density Distribution in a Tree Canopy Using Terrestrial LiDAR and a Straightforward Calibration Procedure
title_short Estimating Leaf Bulk Density Distribution in a Tree Canopy Using Terrestrial LiDAR and a Straightforward Calibration Procedure
title_sort estimating leaf bulk density distribution in a tree canopy using terrestrial lidar and a straightforward calibration procedure
topic forest fuel
Quercus pubescens
phase-shift LiDAR
mixed pixels
filtering
LiDAR wavelength
url http://www.mdpi.com/2072-4292/7/6/7995
work_keys_str_mv AT francoispimont estimatingleafbulkdensitydistributioninatreecanopyusingterrestriallidarandastraightforwardcalibrationprocedure
AT jeanlucdupuy estimatingleafbulkdensitydistributioninatreecanopyusingterrestriallidarandastraightforwardcalibrationprocedure
AT ericrigolot estimatingleafbulkdensitydistributioninatreecanopyusingterrestriallidarandastraightforwardcalibrationprocedure
AT vincentprat estimatingleafbulkdensitydistributioninatreecanopyusingterrestriallidarandastraightforwardcalibrationprocedure
AT alexandrepiboule estimatingleafbulkdensitydistributioninatreecanopyusingterrestriallidarandastraightforwardcalibrationprocedure