Analysis of change detection techniques for disaster mapping using remote sensing data

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorCemaden – Centro Nacional de Monitoramento e Alertas de Desastres Naturais-
Autor(es): dc.creatorde Oliveira, Lucas Valerio [UNESP]-
Autor(es): dc.creatorNegri, Rogério Galante [UNESP]-
Autor(es): dc.creatorSantos, Leonardo Bacelar Lima-
Data de aceite: dc.date.accessioned2022-08-04T22:09:57Z-
Data de disponibilização: dc.date.available2022-08-04T22:09:57Z-
Data de envio: dc.date.issued2022-04-28-
Data de envio: dc.date.issued2022-04-28-
Data de envio: dc.date.issued2020-03-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.14393/RBCV72N1-51447-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/221832-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/221832-
Descrição: dc.descriptionIn recent years Brazil has suffered a series of environmental disasters that impaired its society, economy, and biodiversity in immeasurable levels. The use of remote sensing data rises as a fundamental source when analyzing environmental disaster impacts. Among several methods proposed in the literature, change detection techniques have shown potential use on environmental disaster investigations. In this context, this study presents an analysis with different change detection techniques applied to map the landscape modifications caused by recent environmental disasters in Brazil. The methods discussed in this paper are restricted to the unsupervised approach, which does not require a priori information about the data. Three applications were carried regarding the collapse that occurred in Mariana and Brumadinho dams, the state of Minas Gerais, and forest burning in the state of Mato Grosso. Images acquired by Landsat-8 and Sentinel-1 and 2 satellites were used in these studies. The results evidenced that such techniques, as long as parameterized and using favorable attributes, they can provide accurate maps regarding the changes from disaster events.-
Descrição: dc.descriptionUnesp Universidade Estadual Paulista “Júlio de Mesquita Filho” Departamento de Engenharia Ambiental-
Descrição: dc.descriptionCemaden – Centro Nacional de Monitoramento e Alertas de Desastres Naturais-
Descrição: dc.descriptionUnesp Universidade Estadual Paulista “Júlio de Mesquita Filho” Departamento de Engenharia Ambiental-
Formato: dc.format177-189-
Idioma: dc.languagept_BR-
Relação: dc.relationRevista Brasileira de Cartografia-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectChange detection. Unsupervised. Environmental disaster-
Título: dc.titleAnalysis of change detection techniques for disaster mapping using remote sensing data-
Título: dc.titleAnálise de técnicas de detecção de mudança para mapeamento de desastres com uso de dados de sensoriamento remoto-
Aparece nas coleções:Repositório Institucional - Unesp

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