Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/26962
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dc.contributor.authorSilva, Carlos Albertoen_UK
dc.contributor.authorSaatchi, Sassan Sen_UK
dc.contributor.authorGarcia, Marianoen_UK
dc.contributor.authorLabriere, Nicolasen_UK
dc.contributor.authorKlauberg, Carineen_UK
dc.contributor.authorFerraz, Antonioen_UK
dc.contributor.authorMeyer, Victoriaen_UK
dc.contributor.authorJeffery, Kathryn Janeen_UK
dc.contributor.authorAbernethy, Katharineen_UK
dc.contributor.authorWhite, Leeen_UK
dc.contributor.authorZhao, Kaiguangen_UK
dc.contributor.authorLewis, Simonen_UK
dc.contributor.authorHudak, Andrew Ten_UK
dc.date.accessioned2018-04-20T03:02:38Z-
dc.date.available2018-04-20T03:02:38Z-
dc.date.issued2018-10en_UK
dc.identifier.urihttp://hdl.handle.net/1893/26962-
dc.description.abstractNASA's Global Ecosystem Dynamic Investigation (GEDI) mission has been designed to measure forest structure using lidar waveforms to sample the earth's vegetation while in orbit aboard the International Space Station. In this paper, we used airborne large-footprint (LF) lidar measurements to simulate GEDI observations from which we retrieved ground elevation, vegetation height, and aboveground biomass (AGB). GEDI-like product accuracy was then assessed by comparing them to similar products derived from airborne small-footprint (SF) lidar measurements. The study focused on tropical forests and used data collected during the NASA and European Space Agency (ESA) AfriSAR ground and airborne campaigns in the Lope National Park in Central Gabon. The measurements covered a gradient of successional stages of forest development with different height, canopy density, and topography. The comparison of the two sensors shows that LF lidar waveforms and simulated waveforms from SF lidar are equivalent in their ability to estimate ground elevation (RMSE = 0.5 m, bias = 0.29 m) and maximum forest height (RMSE = 2.99 m, bias = 0.24 m) over the study area. The difference in the AGB estimated from both lidar instruments at the 1-ha spatial scale is small over the entire study area (RMSE = 6.34 Mg·ha-1, bias = 11.27 Mg·ha-1) and the bias is attributed to the impact of ground slopes greater than 10–20° on the LF lidar measurements of forest height. Our results support the ability of GEDILF lidar to measure the complex structure of humid tropical forests and provide AGB estimates comparable to SF-derived ones.en_UK
dc.language.isoenen_UK
dc.publisherIEEEen_UK
dc.relationSilva CA, Saatchi SS, Garcia M, Labriere N, Klauberg C, Ferraz A, Meyer V, Jeffery KJ, Abernethy K, White L, Zhao K, Lewis S & Hudak AT (2018) Comparison of Small- and Large-Footprint Lidar Characterization of Tropical Forest Aboveground Structure and Biomass: A Case Study From Central Gabon. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11 (10), pp. 3512-3526. https://doi.org/10.1109/JSTARS.2018.2816962en_UK
dc.rights© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en_UK
dc.subjectBiomassen_UK
dc.subjectEarthen_UK
dc.subjectLaser radaren_UK
dc.subjectMeasurementen_UK
dc.subjectRemote sensingen_UK
dc.subjectSensorsen_UK
dc.subjectVegetation mappingen_UK
dc.subjectAfriSARen_UK
dc.subjectGabonen_UK
dc.subjectGlobal Ecosystem Dynamic Investigation (GEDI)en_UK
dc.subjectand ice sensor (LVIS)en_UK
dc.subjectlanden_UK
dc.subjectlidaren_UK
dc.subjecttropical foresten_UK
dc.subjectvegetationen_UK
dc.titleComparison of Small- and Large-Footprint Lidar Characterization of Tropical Forest Aboveground Structure and Biomass: A Case Study From Central Gabonen_UK
dc.typeJournal Articleen_UK
dc.identifier.doi10.1109/JSTARS.2018.2816962en_UK
dc.citation.jtitleIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensingen_UK
dc.citation.issn2151-1535en_UK
dc.citation.issn1939-1404en_UK
dc.citation.volume11en_UK
dc.citation.issue10en_UK
dc.citation.spage3512en_UK
dc.citation.epage3526en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusAM - Accepted Manuscripten_UK
dc.contributor.funderNational Council of Technological and Scientific Development—CNPqen_UK
dc.contributor.funder7th European Community Framework Programmeen_UK
dc.citation.date05/04/2018en_UK
dc.contributor.affiliationCalifornia Institute of Technologyen_UK
dc.contributor.affiliationCalifornia Institute of Technologyen_UK
dc.contributor.affiliationUniversity of Alcalaen_UK
dc.contributor.affiliationEvolution and Biological Diversity Laboratoryen_UK
dc.contributor.affiliationUS Forest Serviceen_UK
dc.contributor.affiliationCalifornia Institute of Technologyen_UK
dc.contributor.affiliationCalifornia Institute of Technologyen_UK
dc.contributor.affiliationBiological and Environmental Sciencesen_UK
dc.contributor.affiliationBiological and Environmental Sciencesen_UK
dc.contributor.affiliationBiological and Environmental Sciencesen_UK
dc.contributor.affiliationOhio State Universityen_UK
dc.contributor.affiliationUniversity College Londonen_UK
dc.contributor.affiliationUS Forest Serviceen_UK
dc.identifier.isiWOS:000447950200012en_UK
dc.identifier.scopusid2-s2.0-85045208102en_UK
dc.identifier.wtid878097en_UK
dc.contributor.orcid0000-0002-2632-0008en_UK
dc.contributor.orcid0000-0002-0393-9342en_UK
dc.date.accepted2018-03-14en_UK
dcterms.dateAccepted2018-03-14en_UK
dc.date.filedepositdate2018-04-10en_UK
rioxxterms.apcnot requireden_UK
rioxxterms.typeJournal Article/Reviewen_UK
rioxxterms.versionAMen_UK
local.rioxx.authorSilva, Carlos Alberto|en_UK
local.rioxx.authorSaatchi, Sassan S|en_UK
local.rioxx.authorGarcia, Mariano|en_UK
local.rioxx.authorLabriere, Nicolas|en_UK
local.rioxx.authorKlauberg, Carine|en_UK
local.rioxx.authorFerraz, Antonio|en_UK
local.rioxx.authorMeyer, Victoria|en_UK
local.rioxx.authorJeffery, Kathryn Jane|0000-0002-2632-0008en_UK
local.rioxx.authorAbernethy, Katharine|0000-0002-0393-9342en_UK
local.rioxx.authorWhite, Lee|en_UK
local.rioxx.authorZhao, Kaiguang|en_UK
local.rioxx.authorLewis, Simon|en_UK
local.rioxx.authorHudak, Andrew T|en_UK
local.rioxx.projectInternal Project|University of Stirling|https://isni.org/isni/0000000122484331en_UK
local.rioxx.freetoreaddate2018-04-10en_UK
local.rioxx.licencehttp://www.rioxx.net/licenses/all-rights-reserved|2018-04-10|en_UK
local.rioxx.filenameSF_LF_lidar_Silva_et_al_2018.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source2151-1535en_UK
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