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http://www.alice.cnptia.embrapa.br/alice/handle/doc/1019401
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Campo DC | Valor | Idioma |
---|---|---|
dc.contributor.author | LEITOLD, V. | pt_BR |
dc.contributor.author | KELLER, M. | pt_BR |
dc.contributor.author | MORTON, D. C. | pt_BR |
dc.contributor.author | COOK, B. D. | pt_BR |
dc.contributor.author | SHIMABUKURO, Y. E. | pt_BR |
dc.date.accessioned | 2015-07-06T11:11:11Z | pt_BR |
dc.date.available | 2015-07-06T11:11:11Z | pt_BR |
dc.date.created | 2015-07-06 | pt_BR |
dc.date.issued | 2015 | pt_BR |
dc.identifier.citation | Carbon Balance and Management, v. 10, n. 3, p. 1-12, 2015. | pt_BR |
dc.identifier.uri | http://www.alice.cnptia.embrapa.br/alice/handle/doc/1019401 | pt_BR |
dc.description | Carbon 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.iso | por | pt_BR |
dc.rights | openAccess | pt_BR |
dc.subject | Airbone lidar | pt_BR |
dc.subject | Biomass estimation | pt_BR |
dc.subject | Canopy height | pt_BR |
dc.subject | Data thinning | pt_BR |
dc.subject | Digital terrain model | pt_BR |
dc.subject | Elevation accuracy | pt_BR |
dc.subject | REDD+ | pt_BR |
dc.subject | Tropical montane forest | pt_BR |
dc.title | Airborne lidar-based estimates of tropical forest structure in complex terrain: opportunities and trade-offs for REDD+. | pt_BR |
dc.type | Artigo de periódico | pt_BR |
dc.date.updated | 2015-07-06T11:11:11Z | pt_BR |
riaa.ainfo.id | 1019401 | pt_BR |
riaa.ainfo.lastupdate | 2015-07-06 | pt_BR |
dc.identifier.doi | 10.1186/s13021-015-0013-x | pt_BR |
dc.contributor.institution | VERONIKA 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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4535.pdf | 1.44 MB | Adobe PDF | ![]() Visualizar/Abrir |