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 Alberto-
dc.contributor.authorSaatchi, Sassan S-
dc.contributor.authorGarcia, Mariano-
dc.contributor.authorLabriere, Nicolas-
dc.contributor.authorKlauberg, Carine-
dc.contributor.authorFerraz, Antonio-
dc.contributor.authorMeyer, Victoria-
dc.contributor.authorJeffery, Kathryn Jane-
dc.contributor.authorAbernethy, Katharine-
dc.contributor.authorWhite, Lee-
dc.contributor.authorZhao, Kaiguang-
dc.contributor.authorLewis, Simon-
dc.contributor.authorHudak, Andrew T-
dc.date.accessioned2018-04-20T03:02:38Z-
dc.date.available2018-04-20T03:02:38Z-
dc.date.issued2018-04-05-
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.isoen-
dc.publisherIEEE-
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 (Forthcoming/Available Online), IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.-
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.-
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 Gabon (Forthcoming/Available Online)en_UK
dc.typeJournal Articleen_UK
dc.identifier.doihttp://dx.doi.org/10.1109/JSTARS.2018.2816962-
dc.citation.jtitleIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing-
dc.citation.issn1939-1404-
dc.citation.publicationstatusIn press-
dc.citation.peerreviewedRefereed-
dc.type.statusPost-print (author final draft post-refereeing)-
dc.citation.date05/04/2018-
dc.contributor.affiliationCalifornia Institute of Technology-
dc.contributor.affiliationCalifornia Institute of Technology-
dc.contributor.affiliationUniversity of Alcala-
dc.contributor.affiliationEvolution and Biological Diversity Laboratory-
dc.contributor.affiliationUS Forest Service-
dc.contributor.affiliationCalifornia Institute of Technology-
dc.contributor.affiliationCalifornia Institute of Technology-
dc.contributor.affiliationBiological and Environmental Sciences-
dc.contributor.affiliationBiological and Environmental Sciences-
dc.contributor.affiliationBiological and Environmental Sciences-
dc.contributor.affiliationThe Ohio State University-
dc.contributor.affiliationUniversity College London-
dc.contributor.affiliationUS Forest Service-
Appears in Collections:Biological and Environmental Sciences Journal Articles

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