Indentifying carbon sinks whith the use of hyperspectral images : a potencial tool for ladscape planning

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.creatorAmaral, R.-
Autor(es): dc.creatorBaptista, Gustavo Macedo de Mello-
Autor(es): dc.creatorBezerra, M. C. L.-
Data de aceite: dc.date.accessioned2024-10-23T15:55:42Z-
Data de disponibilização: dc.date.available2024-10-23T15:55:42Z-
Data de envio: dc.date.issued2020-04-17-
Data de envio: dc.date.issued2020-04-17-
Data de envio: dc.date.issued2019-
Fonte completa do material: dc.identifierhttps://repositorio.unb.br/handle/10482/37543-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/895616-
Descrição: dc.descriptionThere 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.-
Descrição: dc.descriptionInstituto de Geociências (IG)-
Direitos: dc.rightsAcesso Aberto-
Palavras-chave: dc.subjectSensoriamento remoto-
Palavras-chave: dc.subjectImagens hiperespectrais-
Palavras-chave: dc.subjectPaisagens - Distrito Federal (Brasil)-
Palavras-chave: dc.subjectSequestro de Carbono-
Título: dc.titleIndentifying carbon sinks whith the use of hyperspectral images : a potencial tool for ladscape planning-
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