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Use este identificador para citar ou linkar para este item: http://repositorio.unb.br/handle/10482/37543
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Título: Indentifying carbon sinks whith the use of hyperspectral images : a potencial tool for ladscape planning
Autor(es): Amaral, R.
Baptista, Gustavo Macedo de Mello
Bezerra, M. C. L.
Assunto: Sensoriamento remoto
Imagens hiperespectrais
Paisagens - Distrito Federal (Brasil)
Sequestro de Carbono
Data de publicação: 2020
Referência: AMARAL, 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.
Abstract: There 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.
Unidade Acadêmica: Instituto de Geociências (IG)
Aparece nas coleções:Artigos publicados em periódicos e afins

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