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Applying gully risk in the Fernão Dias environmental protection area, southeastern brazil, using FUZZY logic decision

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Detalhes bibliográficos
Resumo:A spatial model is presented using logistic regression, fuzzy classification and GIS, to map the risk to the ravine. This model uses the maps: vegetation index, slope, and structural lineaments and roads density maps. The chance in favour of a gully event for these maps was estimated using odds ratio. The model calculates the risk of gully in each pixel, from the weighted sum of fuzzy maps, and uses r2 value obtained by frequency ravine points observed in each class of thematic maps as weight values.
Autores principais:Ferreira, Marcos César
Outros Autores:Garófalo, Danilo Trovó; Ferreira, Marta Marujo
Assunto:Clasificación difusa SIG mapa de riesgos barrancos regresión logística. Classificação fuzzy SIG mapa de riscos ravinas regressão logística. Classification diffuse SIG cartographie des risques ravines régression logistique. Fuzzy classification GIS risk map gullies logistic regression.
Ano:2015
País:Portugal
Tipo de documento:artigo
Tipo de acesso:unknown
Instituição associada:Imprensa da Universidade de Coimbra
Idioma:português
Origem:Territorium
Descrição
Resumo:A spatial model is presented using logistic regression, fuzzy classification and GIS, to map the risk to the ravine. This model uses the maps: vegetation index, slope, and structural lineaments and roads density maps. The chance in favour of a gully event for these maps was estimated using odds ratio. The model calculates the risk of gully in each pixel, from the weighted sum of fuzzy maps, and uses r2 value obtained by frequency ravine points observed in each class of thematic maps as weight values.