Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/17490
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dc.contributor.authorLU, D.pt_BR
dc.contributor.authorBATISTELLA, M.pt_BR
dc.contributor.authorMORAN, E.pt_BR
dc.date.accessioned2014-08-21T06:27:41Z-
dc.date.available2014-08-21T06:27:41Z-
dc.date.created2006-05-12pt_BR
dc.date.issued2005pt_BR
dc.identifier.citationPhotogrammetric Engineering and Remote Sensing, v. 71, n. 8, aug. 2005.pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/17490pt_BR
dc.descriptionHeterogeneous Amazonian landscapes and complex forest stand structure often make aboveground biomass (AGB) estimation difficult. In this study, spectral mixture analysis was used to convert a Landsat Thematic Mapper (TM) image into green vegetation, shade, and soil fraction images. Entropy was used to analyze the complexity of forest stand structure and to examine impacts of different stand structures on TM reflectance data. The relationships between AGB and fraction images or TM spectral signatures were investigated based on successional and primary forests, respectively, and AGB estimation models were developed for both types of forests. Our findings indicate that the AGB estimation models using fraction images perform better for successional forest biomass estimation than using TM spectral signatures. However, both models based on TM spectral signatures and fractions provided poor performance for primary forest biomass estimation. The complex stand structure and associated canopy shadow greatly reduced relationships between AGB and TM reflectance or fraction images.pt_BR
dc.formatfolhas avulsaspt_BR
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectFlorestaspt_BR
dc.subjectMachadinho D´Oestept_BR
dc.subjectRondôniapt_BR
dc.titleSatellite estimation of aboveground biomass and impacts of forest stand structure.pt_BR
dc.typeArtigo de periódicopt_BR
dc.date.updated2014-08-21T06:27:41Zpt_BR
dc.subject.thesagroImpacto Ambientalpt_BR
dc.subject.thesagroVegetaçãopt_BR
dc.format.extent2p. 967-974.pt_BR
riaa.ainfo.id17490pt_BR
riaa.ainfo.lastupdate2014-08-20pt_BR
dc.contributor.institutionIndiana University (1,3); Embrapa Monitoramento por Satélite (2).pt_BR
Aparece nas coleções:Artigo em periódico indexado (CNPM)

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