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

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dc.contributor.authorde Souza, José Carlos
dc.contributor.authorLopes, Elfany Reis Do Nascimento [UNESP]
dc.contributor.authorde Sousa, Josy Ana Paixão [UNESP]
dc.contributor.authorMartins, Antônio Cesar Germano [UNESP]
dc.contributor.authorLourenço, Roberto Wagner [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.date.accessioned2022-04-29T08:28:04Z
dc.date.available2022-04-29T08:28:04Z
dc.date.issued2018-07-01
dc.description.abstractThis 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.en
dc.description.affiliationDepartment of Geography of the Goiás State University, Campus Minaçu
dc.description.affiliationLaboratory of Geoprocessing and Environmental Mathematical Modeling of the Paulista State University Institute of Science and Technology of Sorocaba
dc.description.affiliationUnespLaboratory of Geoprocessing and Environmental Mathematical Modeling of the Paulista State University Institute of Science and Technology of Sorocaba
dc.format.extent245-256
dc.identifierhttp://dx.doi.org/10.4090/juee.2018.v12n2.245256
dc.identifier.citationJournal of Urban and Environmental Engineering, v. 12, n. 2, p. 245-256, 2018.
dc.identifier.doi10.4090/juee.2018.v12n2.245256
dc.identifier.issn1982-3932
dc.identifier.scopus2-s2.0-85066758028
dc.identifier.urihttp://hdl.handle.net/11449/228687
dc.language.isoeng
dc.relation.ispartofJournal of Urban and Environmental Engineering
dc.sourceScopus
dc.subjectCorrelation matrixes
dc.subjectPixels
dc.subjectPlant cover
dc.subjectRemote sensing
dc.subjectVegetation index
dc.titleMethod for evaluating plant cover and quantification using pixel to pixel correlation indicesen
dc.typeArtigo

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Artigos - Planejamento Territorial e Geoprocessamento - IGCE