Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1019401
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dc.contributor.authorLEITOLD, V.pt_BR
dc.contributor.authorKELLER, M.pt_BR
dc.contributor.authorMORTON, D. C.pt_BR
dc.contributor.authorCOOK, B. D.pt_BR
dc.contributor.authorSHIMABUKURO, Y. E.pt_BR
dc.date.accessioned2015-07-06T11:11:11Zpt_BR
dc.date.available2015-07-06T11:11:11Zpt_BR
dc.date.created2015-07-06pt_BR
dc.date.issued2015pt_BR
dc.identifier.citationCarbon Balance and Management, v. 10, n. 3, p. 1-12, 2015.pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1019401pt_BR
dc.descriptionCarbon stocks and fluxes in tropical forests remain large sources of uncertainty in the global carbon budget. Airborne lidar remote sensing is a powerful tool for estimating aboveground biomass, provided that lidar measurements penetrate dense forest vegetation to generate accurate estimates of surface topography and canopy heights. Tropical forest areas with complex topography present a challenge for lidar remote sensing.pt_BR
dc.language.isoporpt_BR
dc.rightsopenAccesspt_BR
dc.subjectAirbone lidarpt_BR
dc.subjectBiomass estimationpt_BR
dc.subjectCanopy heightpt_BR
dc.subjectData thinningpt_BR
dc.subjectDigital terrain modelpt_BR
dc.subjectElevation accuracypt_BR
dc.subjectREDD+pt_BR
dc.subjectTropical montane forestpt_BR
dc.titleAirborne lidar-based estimates of tropical forest structure in complex terrain: opportunities and trade-offs for REDD+.pt_BR
dc.typeArtigo de periódicopt_BR
dc.date.updated2015-07-06T11:11:11Zpt_BR
riaa.ainfo.id1019401pt_BR
riaa.ainfo.lastupdate2015-07-06pt_BR
dc.identifier.doi10.1186/s13021-015-0013-xpt_BR
dc.contributor.institutionVERONIKA LEITOLD, INPE; MICHAEL KELLER, USDA/PESQUISADOR VISITANTE CNPM; DOUGLAS C. MORTON, NASA; BRUCE D. COOK, NASA; YOSIO E. SHIMABUKURO, INPE.pt_BR
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