Agronomia (Sede)

URI permanente desta comunidadehttps://arandu.ufrpe.br/handle/123456789/4

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APP - Artigo Publicado em Periódico
TAE - Trabalho Apresentado em Evento
TCC - Trabalho de Conclusão de Curso

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20211

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Autor: search.filters.author.Rufino, Braynner AndradeAssunto: search.filters.subject.Sensoriamento remoto

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    Sensoriamento remoto aplicado ao estudo de mudanças ambientais no Nordeste do Brasil
    (2021) Rufino, Braynner Andrade; Moura, Geber Barbosa de Albuquerque; http://lattes.cnpq.br/5290189594470508; http://lattes.cnpq.br/6532123398345334
    Degradation of cultivable areas is a problem that has been getting worse in the Brazil Northeast. Remote sensing stands out as an important tool for its monitoring, through the analysis of Vegetative Indices (VIs). Therefore, the present work aims to use the Google Earth Engine tool in the manipulation of scripts, to obtain the biophysical parameters and maps of the VIs (NDVI, EVI, SAVI, NDWI) in the period from 2000 to 2020 and years of El-Niño and La-Niña. MODIS products facilitate the process for data collection in ideal conditions where the collected values will be of greater relevance. The relationship between the spectra of the bands generates the Vegetative Indices in time and space required with accurate evaluation, and in the future these data obtained can be used as a basis for agriculture, fishing, reforestation activities or monitoring the progress of degraded areas.