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Temporal analysis (2002-2014) of the expansion of fern species dicranopteris flexuosa in Pati Valley (Brazil) using satellite images classification techniques

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Detalhes bibliográficos
Resumo:In order to analyze the areas occupied by the invasive fern species Dicranopteris flexuosa between 2002 and 2014 in the Pati Valley (Brazil) multispectral satellite image classification techniques were used from the supervised classification algorithms Neural Networks and Maximum Likelihood. The results show that the species tends to spread rapidly, blocking the regeneration of native flora. The algorithm with the highest reliability for this was the Neural Networks. https://doi.org/10.14195/1647-7723_24_10
Autores principais:Leite, Cndida Caroline Souza de Santana
Outros Autores:Santos, Sarah Moura Batista dos; Franca, Washington de Jesus Sant’anna da; Vasconcelos, Rodrigo Nogueira
Assunto:Neural networks maximum likelihood geotechnology invasive species Redes neurais máxima verossimilhança geotecnologias espécie invasora
Ano:2017
País:Portugal
Tipo de documento:artigo
Tipo de acesso:unknown
Instituição associada:Imprensa da Universidade de Coimbra
Idioma:português
Origem:Territorium
Descrição
Resumo:In order to analyze the areas occupied by the invasive fern species Dicranopteris flexuosa between 2002 and 2014 in the Pati Valley (Brazil) multispectral satellite image classification techniques were used from the supervised classification algorithms Neural Networks and Maximum Likelihood. The results show that the species tends to spread rapidly, blocking the regeneration of native flora. The algorithm with the highest reliability for this was the Neural Networks. https://doi.org/10.14195/1647-7723_24_10