Performance of laser-based electronic devices for structural analysis of Amazonian terra-firme forests

Detalhes bibliográficos
Autor(a) principal: Pereira, Iokanam Sales
Data de Publicação: 2019
Outros Autores: do Nascimento, Henrique E.Mendonça, Vicari, Matheus Boni, Disney, Mathias I., DeLucia, Evan H., null, Tomas, Kruijt, Bart J., Lapola, David Montenegro, Meir, Patrick W., Norby, Richard J., Ometto, Jean Pierre Henry Balbaud, Quesada, Carlos Alberto, Rammig, Anja, Hofhansl, Florian
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional do INPA
Texto Completo: https://repositorio.inpa.gov.br/handle/1/15524
Resumo: Tropical vegetation biomass represents a key component of the carbon stored in global forest ecosystems. Estimates of aboveground biomass commonly rely on measurements of tree size (diameter and height) and then indirectly relate, via allometric relationships and wood density, to biomass sampled from a relatively small number of harvested and weighed trees. Recently, however, novel in situ remote sensing techniques have been proposed, which may provide nondestructive alternative approaches to derive biomass estimates. Nonetheless, we still lack knowledge of the measurement uncertainties, as both the calibration and validation of estimates using different techniques and instruments requires consistent assessment of the underlying errors. To that end, we investigate different approaches estimating the tropical aboveground biomass in situ. We quantify the total and systematic errors among measurements obtained from terrestrial light detection and ranging (LiDAR), hypsometer-based trigonometry, and traditional forest inventory. We show that laser-based estimates of aboveground biomass are in good agreement (< 10% measurement uncertainty) with traditional measurements. However, relative uncertainties vary among the allometric equations based on the vegetation parameters used for parameterization. We report the error metrics for measurements of tree diameter and tree height and discuss the consequences for estimated biomass. Despite methodological differences detected in this study, we conclude that laser-based electronic devices could complement conventional measurement techniques, thereby potentially improving estimates of tropical vegetation biomass. © 2019 by the authors.
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spelling Pereira, Iokanam Salesdo Nascimento, Henrique E.MendonçaVicari, Matheus BoniDisney, Mathias I.DeLucia, Evan H.null, TomasKruijt, Bart J.Lapola, David MontenegroMeir, Patrick W.Norby, Richard J.Ometto, Jean Pierre Henry BalbaudQuesada, Carlos AlbertoRammig, AnjaHofhansl, Florian2020-05-14T16:32:39Z2020-05-14T16:32:39Z2019https://repositorio.inpa.gov.br/handle/1/1552410.3390/rs11050510Tropical vegetation biomass represents a key component of the carbon stored in global forest ecosystems. Estimates of aboveground biomass commonly rely on measurements of tree size (diameter and height) and then indirectly relate, via allometric relationships and wood density, to biomass sampled from a relatively small number of harvested and weighed trees. Recently, however, novel in situ remote sensing techniques have been proposed, which may provide nondestructive alternative approaches to derive biomass estimates. Nonetheless, we still lack knowledge of the measurement uncertainties, as both the calibration and validation of estimates using different techniques and instruments requires consistent assessment of the underlying errors. To that end, we investigate different approaches estimating the tropical aboveground biomass in situ. We quantify the total and systematic errors among measurements obtained from terrestrial light detection and ranging (LiDAR), hypsometer-based trigonometry, and traditional forest inventory. We show that laser-based estimates of aboveground biomass are in good agreement (< 10% measurement uncertainty) with traditional measurements. However, relative uncertainties vary among the allometric equations based on the vegetation parameters used for parameterization. We report the error metrics for measurements of tree diameter and tree height and discuss the consequences for estimated biomass. Despite methodological differences detected in this study, we conclude that laser-based electronic devices could complement conventional measurement techniques, thereby potentially improving estimates of tropical vegetation biomass. © 2019 by the authors.Volume 11, Número 5Attribution-NonCommercial-NoDerivs 3.0 Brazilhttp://creativecommons.org/licenses/by-nc-nd/3.0/br/info:eu-repo/semantics/openAccessBiomassEcosystemsElectronic EquipmentForestryInstrument ErrorsOptical RadarRemote SensingSystematic ErrorsThermoelectric EquipmentTropicsVegetationAmazoniaCarbon StorageForest StructureLight Detection And Ranging"terra Firme" ForestTerrestrial Laser ScanningUncertainty AnalysisPerformance of laser-based electronic devices for structural analysis of Amazonian terra-firme forestsinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleRemote Sensingengreponame:Repositório Institucional do INPAinstname:Instituto Nacional de Pesquisas da Amazônia (INPA)instacron:INPAORIGINALartigo-inpa.pdfartigo-inpa.pdfapplication/pdf6491664https://repositorio.inpa.gov.br/bitstream/1/15524/1/artigo-inpa.pdf1026843adfe614c4c52a878f509e9934MD511/155242020-07-14 11:08:31.367oai:repositorio:1/15524Repositório de PublicaçõesPUBhttps://repositorio.inpa.gov.br/oai/requestopendoar:2020-07-14T15:08:31Repositório Institucional do INPA - Instituto Nacional de Pesquisas da Amazônia (INPA)false
dc.title.en.fl_str_mv Performance of laser-based electronic devices for structural analysis of Amazonian terra-firme forests
title Performance of laser-based electronic devices for structural analysis of Amazonian terra-firme forests
spellingShingle Performance of laser-based electronic devices for structural analysis of Amazonian terra-firme forests
Pereira, Iokanam Sales
Biomass
Ecosystems
Electronic Equipment
Forestry
Instrument Errors
Optical Radar
Remote Sensing
Systematic Errors
Thermoelectric Equipment
Tropics
Vegetation
Amazonia
Carbon Storage
Forest Structure
Light Detection And Ranging
"terra Firme" Forest
Terrestrial Laser Scanning
Uncertainty Analysis
title_short Performance of laser-based electronic devices for structural analysis of Amazonian terra-firme forests
title_full Performance of laser-based electronic devices for structural analysis of Amazonian terra-firme forests
title_fullStr Performance of laser-based electronic devices for structural analysis of Amazonian terra-firme forests
title_full_unstemmed Performance of laser-based electronic devices for structural analysis of Amazonian terra-firme forests
title_sort Performance of laser-based electronic devices for structural analysis of Amazonian terra-firme forests
author Pereira, Iokanam Sales
author_facet Pereira, Iokanam Sales
do Nascimento, Henrique E.Mendonça
Vicari, Matheus Boni
Disney, Mathias I.
DeLucia, Evan H.
null, Tomas
Kruijt, Bart J.
Lapola, David Montenegro
Meir, Patrick W.
Norby, Richard J.
Ometto, Jean Pierre Henry Balbaud
Quesada, Carlos Alberto
Rammig, Anja
Hofhansl, Florian
author_role author
author2 do Nascimento, Henrique E.Mendonça
Vicari, Matheus Boni
Disney, Mathias I.
DeLucia, Evan H.
null, Tomas
Kruijt, Bart J.
Lapola, David Montenegro
Meir, Patrick W.
Norby, Richard J.
Ometto, Jean Pierre Henry Balbaud
Quesada, Carlos Alberto
Rammig, Anja
Hofhansl, Florian
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Pereira, Iokanam Sales
do Nascimento, Henrique E.Mendonça
Vicari, Matheus Boni
Disney, Mathias I.
DeLucia, Evan H.
null, Tomas
Kruijt, Bart J.
Lapola, David Montenegro
Meir, Patrick W.
Norby, Richard J.
Ometto, Jean Pierre Henry Balbaud
Quesada, Carlos Alberto
Rammig, Anja
Hofhansl, Florian
dc.subject.eng.fl_str_mv Biomass
Ecosystems
Electronic Equipment
Forestry
Instrument Errors
Optical Radar
Remote Sensing
Systematic Errors
Thermoelectric Equipment
Tropics
Vegetation
Amazonia
Carbon Storage
Forest Structure
Light Detection And Ranging
"terra Firme" Forest
Terrestrial Laser Scanning
Uncertainty Analysis
topic Biomass
Ecosystems
Electronic Equipment
Forestry
Instrument Errors
Optical Radar
Remote Sensing
Systematic Errors
Thermoelectric Equipment
Tropics
Vegetation
Amazonia
Carbon Storage
Forest Structure
Light Detection And Ranging
"terra Firme" Forest
Terrestrial Laser Scanning
Uncertainty Analysis
description Tropical vegetation biomass represents a key component of the carbon stored in global forest ecosystems. Estimates of aboveground biomass commonly rely on measurements of tree size (diameter and height) and then indirectly relate, via allometric relationships and wood density, to biomass sampled from a relatively small number of harvested and weighed trees. Recently, however, novel in situ remote sensing techniques have been proposed, which may provide nondestructive alternative approaches to derive biomass estimates. Nonetheless, we still lack knowledge of the measurement uncertainties, as both the calibration and validation of estimates using different techniques and instruments requires consistent assessment of the underlying errors. To that end, we investigate different approaches estimating the tropical aboveground biomass in situ. We quantify the total and systematic errors among measurements obtained from terrestrial light detection and ranging (LiDAR), hypsometer-based trigonometry, and traditional forest inventory. We show that laser-based estimates of aboveground biomass are in good agreement (< 10% measurement uncertainty) with traditional measurements. However, relative uncertainties vary among the allometric equations based on the vegetation parameters used for parameterization. We report the error metrics for measurements of tree diameter and tree height and discuss the consequences for estimated biomass. Despite methodological differences detected in this study, we conclude that laser-based electronic devices could complement conventional measurement techniques, thereby potentially improving estimates of tropical vegetation biomass. © 2019 by the authors.
publishDate 2019
dc.date.issued.fl_str_mv 2019
dc.date.accessioned.fl_str_mv 2020-05-14T16:32:39Z
dc.date.available.fl_str_mv 2020-05-14T16:32:39Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://repositorio.inpa.gov.br/handle/1/15524
dc.identifier.doi.none.fl_str_mv 10.3390/rs11050510
url https://repositorio.inpa.gov.br/handle/1/15524
identifier_str_mv 10.3390/rs11050510
dc.language.iso.fl_str_mv eng
language eng
dc.relation.ispartof.pt_BR.fl_str_mv Volume 11, Número 5
dc.rights.driver.fl_str_mv Attribution-NonCommercial-NoDerivs 3.0 Brazil
http://creativecommons.org/licenses/by-nc-nd/3.0/br/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution-NonCommercial-NoDerivs 3.0 Brazil
http://creativecommons.org/licenses/by-nc-nd/3.0/br/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Remote Sensing
publisher.none.fl_str_mv Remote Sensing
dc.source.none.fl_str_mv reponame:Repositório Institucional do INPA
instname:Instituto Nacional de Pesquisas da Amazônia (INPA)
instacron:INPA
instname_str Instituto Nacional de Pesquisas da Amazônia (INPA)
instacron_str INPA
institution INPA
reponame_str Repositório Institucional do INPA
collection Repositório Institucional do INPA
bitstream.url.fl_str_mv https://repositorio.inpa.gov.br/bitstream/1/15524/1/artigo-inpa.pdf
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