Assessment of GEDI's LiDAR data for the estimation of canopy heights and wood volume of eucalyptus plantations in Brazil
Over the past two decades spaceborne LiDAR systems have gained momentum in the remote sensing community with their ability to accurately estimate canopy heights and aboveground biomass. This article aims at using the most recent global ecosystem dynamics investigation (GEDI) LiDAR system data to estimate the stand-scale dominant heights ( Hdom ), and stand volume ( V ) of Eucalyptus plantations in Brazil. These plantations provide a valuable case study due to the homogenous canopy cover and the availability of precise field measurements. Several linear and nonlinear regression models were used for the estimation of Hdom and V based on several GEDI metrics. Hdom and V estimation results showed that over low-slopped terrain the most accurate estimates of Hdom and V were obtained using the stepwise regression, with an root-mean-square error (RMSE) of 1.33 m ( R 2 of 0.93) and 24.39 m 3 .ha −1 ( R 2 of 0.90) respectively. The principal metric explaining more than 87% and 84% of the variability ( R 2 ) of Hdom and V was the metric representing the height above the ground at which 90% of the waveform energy occurs. Testing the postprocessed GEDI metric values issued from six available different processing algorithms showed that the accuracy on Hdom and V estimates is algorithm dependent, with a 16% observed increase in RMSE on both variables using algorithm a5 vs. a1. Finally, the choice to select the ground return from the last detected mode or the stronger of the last two modes could also affect the Hdom estimation accuracy with 12 cm RMSE decrease using the latter.
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Subjects: | K10 - Production forestière, U30 - Méthodes de recherche, dendrométrie, couvert forestier, plantations, télédétection, Eucalyptus, cubage d'arbre, biomasse aérienne des arbres, peuplement forestier, http://aims.fao.org/aos/agrovoc/c_16209, http://aims.fao.org/aos/agrovoc/c_9000180, http://aims.fao.org/aos/agrovoc/c_5990, http://aims.fao.org/aos/agrovoc/c_6498, http://aims.fao.org/aos/agrovoc/c_2683, http://aims.fao.org/aos/agrovoc/c_28056, http://aims.fao.org/aos/agrovoc/c_1373987680230, http://aims.fao.org/aos/agrovoc/c_28080, http://aims.fao.org/aos/agrovoc/c_1070, |
Online Access: | http://agritrop.cirad.fr/599041/ http://agritrop.cirad.fr/599041/1/2021Fayad_IEEE_GEDI%20canopy%20height%20wood%20volume%20Eucalyptus.pdf |
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dig-cirad-fr-5990412024-01-29T03:43:38Z http://agritrop.cirad.fr/599041/ http://agritrop.cirad.fr/599041/ Assessment of GEDI's LiDAR data for the estimation of canopy heights and wood volume of eucalyptus plantations in Brazil. Fayad Ibrahim, Baghdadi Nicolas, Alcarde Alvares Clayton, Stape Jose Luiz, Bailly Jean Stéphane, Ferraço Scolforo Henrique, Zribi Mehrez, Le Maire Guerric. 2021. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14 : 7095-7110.https://doi.org/10.1109/JSTARS.2021.3092836 <https://doi.org/10.1109/JSTARS.2021.3092836> Assessment of GEDI's LiDAR data for the estimation of canopy heights and wood volume of eucalyptus plantations in Brazil Fayad, Ibrahim Baghdadi, Nicolas Alcarde Alvares, Clayton Stape, Jose Luiz Bailly, Jean Stéphane Ferraço Scolforo, Henrique Zribi, Mehrez Le Maire, Guerric eng 2021 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing K10 - Production forestière U30 - Méthodes de recherche dendrométrie couvert forestier plantations télédétection Eucalyptus cubage d'arbre biomasse aérienne des arbres peuplement forestier http://aims.fao.org/aos/agrovoc/c_16209 http://aims.fao.org/aos/agrovoc/c_9000180 http://aims.fao.org/aos/agrovoc/c_5990 http://aims.fao.org/aos/agrovoc/c_6498 http://aims.fao.org/aos/agrovoc/c_2683 http://aims.fao.org/aos/agrovoc/c_28056 http://aims.fao.org/aos/agrovoc/c_1373987680230 http://aims.fao.org/aos/agrovoc/c_28080 Brésil http://aims.fao.org/aos/agrovoc/c_1070 Over the past two decades spaceborne LiDAR systems have gained momentum in the remote sensing community with their ability to accurately estimate canopy heights and aboveground biomass. This article aims at using the most recent global ecosystem dynamics investigation (GEDI) LiDAR system data to estimate the stand-scale dominant heights ( Hdom ), and stand volume ( V ) of Eucalyptus plantations in Brazil. These plantations provide a valuable case study due to the homogenous canopy cover and the availability of precise field measurements. Several linear and nonlinear regression models were used for the estimation of Hdom and V based on several GEDI metrics. Hdom and V estimation results showed that over low-slopped terrain the most accurate estimates of Hdom and V were obtained using the stepwise regression, with an root-mean-square error (RMSE) of 1.33 m ( R 2 of 0.93) and 24.39 m 3 .ha −1 ( R 2 of 0.90) respectively. The principal metric explaining more than 87% and 84% of the variability ( R 2 ) of Hdom and V was the metric representing the height above the ground at which 90% of the waveform energy occurs. Testing the postprocessed GEDI metric values issued from six available different processing algorithms showed that the accuracy on Hdom and V estimates is algorithm dependent, with a 16% observed increase in RMSE on both variables using algorithm a5 vs. a1. Finally, the choice to select the ground return from the last detected mode or the stronger of the last two modes could also affect the Hdom estimation accuracy with 12 cm RMSE decrease using the latter. article info:eu-repo/semantics/article Journal Article info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/599041/1/2021Fayad_IEEE_GEDI%20canopy%20height%20wood%20volume%20Eucalyptus.pdf text cc_by info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/ https://doi.org/10.1109/JSTARS.2021.3092836 10.1109/JSTARS.2021.3092836 info:eu-repo/semantics/altIdentifier/doi/10.1109/JSTARS.2021.3092836 info:eu-repo/semantics/altIdentifier/purl/https://doi.org/10.1109/JSTARS.2021.3092836 |
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K10 - Production forestière U30 - Méthodes de recherche dendrométrie couvert forestier plantations télédétection Eucalyptus cubage d'arbre biomasse aérienne des arbres peuplement forestier http://aims.fao.org/aos/agrovoc/c_16209 http://aims.fao.org/aos/agrovoc/c_9000180 http://aims.fao.org/aos/agrovoc/c_5990 http://aims.fao.org/aos/agrovoc/c_6498 http://aims.fao.org/aos/agrovoc/c_2683 http://aims.fao.org/aos/agrovoc/c_28056 http://aims.fao.org/aos/agrovoc/c_1373987680230 http://aims.fao.org/aos/agrovoc/c_28080 http://aims.fao.org/aos/agrovoc/c_1070 K10 - Production forestière U30 - Méthodes de recherche dendrométrie couvert forestier plantations télédétection Eucalyptus cubage d'arbre biomasse aérienne des arbres peuplement forestier http://aims.fao.org/aos/agrovoc/c_16209 http://aims.fao.org/aos/agrovoc/c_9000180 http://aims.fao.org/aos/agrovoc/c_5990 http://aims.fao.org/aos/agrovoc/c_6498 http://aims.fao.org/aos/agrovoc/c_2683 http://aims.fao.org/aos/agrovoc/c_28056 http://aims.fao.org/aos/agrovoc/c_1373987680230 http://aims.fao.org/aos/agrovoc/c_28080 http://aims.fao.org/aos/agrovoc/c_1070 |
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K10 - Production forestière U30 - Méthodes de recherche dendrométrie couvert forestier plantations télédétection Eucalyptus cubage d'arbre biomasse aérienne des arbres peuplement forestier http://aims.fao.org/aos/agrovoc/c_16209 http://aims.fao.org/aos/agrovoc/c_9000180 http://aims.fao.org/aos/agrovoc/c_5990 http://aims.fao.org/aos/agrovoc/c_6498 http://aims.fao.org/aos/agrovoc/c_2683 http://aims.fao.org/aos/agrovoc/c_28056 http://aims.fao.org/aos/agrovoc/c_1373987680230 http://aims.fao.org/aos/agrovoc/c_28080 http://aims.fao.org/aos/agrovoc/c_1070 K10 - Production forestière U30 - Méthodes de recherche dendrométrie couvert forestier plantations télédétection Eucalyptus cubage d'arbre biomasse aérienne des arbres peuplement forestier http://aims.fao.org/aos/agrovoc/c_16209 http://aims.fao.org/aos/agrovoc/c_9000180 http://aims.fao.org/aos/agrovoc/c_5990 http://aims.fao.org/aos/agrovoc/c_6498 http://aims.fao.org/aos/agrovoc/c_2683 http://aims.fao.org/aos/agrovoc/c_28056 http://aims.fao.org/aos/agrovoc/c_1373987680230 http://aims.fao.org/aos/agrovoc/c_28080 http://aims.fao.org/aos/agrovoc/c_1070 Fayad, Ibrahim Baghdadi, Nicolas Alcarde Alvares, Clayton Stape, Jose Luiz Bailly, Jean Stéphane Ferraço Scolforo, Henrique Zribi, Mehrez Le Maire, Guerric Assessment of GEDI's LiDAR data for the estimation of canopy heights and wood volume of eucalyptus plantations in Brazil |
description |
Over the past two decades spaceborne LiDAR systems have gained momentum in the remote sensing community with their ability to accurately estimate canopy heights and aboveground biomass. This article aims at using the most recent global ecosystem dynamics investigation (GEDI) LiDAR system data to estimate the stand-scale dominant heights ( Hdom ), and stand volume ( V ) of Eucalyptus plantations in Brazil. These plantations provide a valuable case study due to the homogenous canopy cover and the availability of precise field measurements. Several linear and nonlinear regression models were used for the estimation of Hdom and V based on several GEDI metrics. Hdom and V estimation results showed that over low-slopped terrain the most accurate estimates of Hdom and V were obtained using the stepwise regression, with an root-mean-square error (RMSE) of 1.33 m ( R 2 of 0.93) and 24.39 m 3 .ha −1 ( R 2 of 0.90) respectively. The principal metric explaining more than 87% and 84% of the variability ( R 2 ) of Hdom and V was the metric representing the height above the ground at which 90% of the waveform energy occurs. Testing the postprocessed GEDI metric values issued from six available different processing algorithms showed that the accuracy on Hdom and V estimates is algorithm dependent, with a 16% observed increase in RMSE on both variables using algorithm a5 vs. a1. Finally, the choice to select the ground return from the last detected mode or the stronger of the last two modes could also affect the Hdom estimation accuracy with 12 cm RMSE decrease using the latter. |
format |
article |
topic_facet |
K10 - Production forestière U30 - Méthodes de recherche dendrométrie couvert forestier plantations télédétection Eucalyptus cubage d'arbre biomasse aérienne des arbres peuplement forestier http://aims.fao.org/aos/agrovoc/c_16209 http://aims.fao.org/aos/agrovoc/c_9000180 http://aims.fao.org/aos/agrovoc/c_5990 http://aims.fao.org/aos/agrovoc/c_6498 http://aims.fao.org/aos/agrovoc/c_2683 http://aims.fao.org/aos/agrovoc/c_28056 http://aims.fao.org/aos/agrovoc/c_1373987680230 http://aims.fao.org/aos/agrovoc/c_28080 http://aims.fao.org/aos/agrovoc/c_1070 |
author |
Fayad, Ibrahim Baghdadi, Nicolas Alcarde Alvares, Clayton Stape, Jose Luiz Bailly, Jean Stéphane Ferraço Scolforo, Henrique Zribi, Mehrez Le Maire, Guerric |
author_facet |
Fayad, Ibrahim Baghdadi, Nicolas Alcarde Alvares, Clayton Stape, Jose Luiz Bailly, Jean Stéphane Ferraço Scolforo, Henrique Zribi, Mehrez Le Maire, Guerric |
author_sort |
Fayad, Ibrahim |
title |
Assessment of GEDI's LiDAR data for the estimation of canopy heights and wood volume of eucalyptus plantations in Brazil |
title_short |
Assessment of GEDI's LiDAR data for the estimation of canopy heights and wood volume of eucalyptus plantations in Brazil |
title_full |
Assessment of GEDI's LiDAR data for the estimation of canopy heights and wood volume of eucalyptus plantations in Brazil |
title_fullStr |
Assessment of GEDI's LiDAR data for the estimation of canopy heights and wood volume of eucalyptus plantations in Brazil |
title_full_unstemmed |
Assessment of GEDI's LiDAR data for the estimation of canopy heights and wood volume of eucalyptus plantations in Brazil |
title_sort |
assessment of gedi's lidar data for the estimation of canopy heights and wood volume of eucalyptus plantations in brazil |
url |
http://agritrop.cirad.fr/599041/ http://agritrop.cirad.fr/599041/1/2021Fayad_IEEE_GEDI%20canopy%20height%20wood%20volume%20Eucalyptus.pdf |
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