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Universidade de Brasília
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dc.contributor.authorAmaral, R.-
dc.contributor.authorBaptista, Gustavo Macedo de Mello-
dc.contributor.authorBezerra, M. C. L.-
dc.date.accessioned2020-04-17T18:48:34Z-
dc.date.available2020-04-17T18:48:34Z-
dc.date.issued2020-
dc.identifier.citationAMARAL, R.; BAPTISTA, G. M.M.; BEZERRA, M. C. L. Indentifying carbon sinks whith the use of hyperspectral images: a potencial tool for ladscape planning. 2020.pt_BR
dc.identifier.urihttps://repositorio.unb.br/handle/10482/37543-
dc.language.isoInglêspt_BR
dc.rightsAcesso Abertopt_BR
dc.titleIndentifying carbon sinks whith the use of hyperspectral images : a potencial tool for ladscape planningpt_BR
dc.typeManuscritopt_BR
dc.subject.keywordSensoriamento remotopt_BR
dc.subject.keywordImagens hiperespectraispt_BR
dc.subject.keywordPaisagens - Distrito Federal (Brasil)pt_BR
dc.subject.keywordSequestro de Carbonopt_BR
dc.description.abstract1There is a lack of assertive carbon sink identification techniques and guidelines to underpin landscape planning based on the promotion and protection of support ecosystem services, as well as other categories, needed for human well-being (regulation, provision and culture). Considering this, the present article aims to identify carbon sinks in stretches of the territorial landscape of Distrito Federal, by the use of remote sensing tools. To this end, it was applied the hyperspectral index ICO2 in a stretch of Distrito Federal’s landscape, seeking variations of CO2 in the atmospheric air column of areas with carbon sink action. Then, it was applied an index - CO2flux - in the same stretch, in a different approach: variations in carbon sequestration in vegetation performance (photosynthetic efficacy) in areas with carbon sink behavior. In sequence, the correlation between the indexes above was verified for the validation of the carbon sinks that have been found by both methods.pt_BR
dc.description.unidadeInstituto de Geociências (IG)pt_BR
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