Method for evaluating plant cover and quantification using pixel to pixel correlation indices

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.creatorde Souza, José Carlos-
Autor(es): dc.creatorLopes, Elfany Reis Do Nascimento-
Autor(es): dc.creatorde Sousa, Josy Ana Paixão-
Autor(es): dc.creatorMartins, Antônio Cesar Germano-
Autor(es): dc.creatorLourenço, Roberto Wagner-
Data de aceite: dc.date.accessioned2025-08-21T19:30:03Z-
Data de disponibilização: dc.date.available2025-08-21T19:30:03Z-
Data de envio: dc.date.issued2022-04-29-
Data de envio: dc.date.issued2022-04-29-
Data de envio: dc.date.issued2018-07-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.4090/juee.2018.v12n2.245256-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/228687-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/228687-
Descrição: dc.descriptionThis study brings results on Normalized Difference Vegetation Index (NDVI), the Adjusted Vegetation Index of Soil (SAVI) and the Index of Water by Normalized Difference (NDWI) through a method that uses correlation matrices built on a pixel to pixel combination for spatial and temporal analysis of plant cover. The study was developed by using Landsat 8 images from January and August, 2015. Image processing was performed with ArcGis and Matlab building correlation matrices to evaluate variations of each index in Brazilian vegetation. Results showed decreasing values of the three indices from wet to dry period. Climatic conditions influenced on the vigor and moisture content of vegetation. The pixel to pixel correlation method is appropriated to study vegetation changes and quantify increase, decrease or maintenance of vegetation.-
Descrição: dc.descriptionDepartment of Geography of the Goiás State University, Campus Minaçu-
Descrição: dc.descriptionLaboratory of Geoprocessing and Environmental Mathematical Modeling of the Paulista State University Institute of Science and Technology of Sorocaba-
Descrição: dc.descriptionLaboratory of Geoprocessing and Environmental Mathematical Modeling of the Paulista State University Institute of Science and Technology of Sorocaba-
Formato: dc.format245-256-
Idioma: dc.languageen-
Relação: dc.relationJournal of Urban and Environmental Engineering-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectCorrelation matrixes-
Palavras-chave: dc.subjectPixels-
Palavras-chave: dc.subjectPlant cover-
Palavras-chave: dc.subjectRemote sensing-
Palavras-chave: dc.subjectVegetation index-
Título: dc.titleMethod for evaluating plant cover and quantification using pixel to pixel correlation indices-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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