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

Detalhes bibliográficos
Autor(a) principal: de Souza, José Carlos
Data de Publicação: 2018
Outros Autores: Lopes, Elfany Reis Do Nascimento [UNESP], de Sousa, Josy Ana Paixão [UNESP], Martins, Antônio Cesar Germano [UNESP], Lourenço, Roberto Wagner [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.4090/juee.2018.v12n2.245256
http://hdl.handle.net/11449/228687
Resumo: This 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.
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spelling Method for evaluating plant cover and quantification using pixel to pixel correlation indicesCorrelation matrixesPixelsPlant coverRemote sensingVegetation indexThis 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.Department of Geography of the Goiás State University, Campus MinaçuLaboratory of Geoprocessing and Environmental Mathematical Modeling of the Paulista State University Institute of Science and Technology of SorocabaLaboratory of Geoprocessing and Environmental Mathematical Modeling of the Paulista State University Institute of Science and Technology of SorocabaUniversidade Estadual Paulista (UNESP)de Souza, José CarlosLopes, Elfany Reis Do Nascimento [UNESP]de Sousa, Josy Ana Paixão [UNESP]Martins, Antônio Cesar Germano [UNESP]Lourenço, Roberto Wagner [UNESP]2022-04-29T08:28:04Z2022-04-29T08:28:04Z2018-07-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article245-256http://dx.doi.org/10.4090/juee.2018.v12n2.245256Journal of Urban and Environmental Engineering, v. 12, n. 2, p. 245-256, 2018.1982-3932http://hdl.handle.net/11449/22868710.4090/juee.2018.v12n2.2452562-s2.0-85066758028Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengJournal of Urban and Environmental Engineeringinfo:eu-repo/semantics/openAccess2022-04-29T08:28:04Zoai:repositorio.unesp.br:11449/228687Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T19:10:48.097855Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Method for evaluating plant cover and quantification using pixel to pixel correlation indices
title Method for evaluating plant cover and quantification using pixel to pixel correlation indices
spellingShingle Method for evaluating plant cover and quantification using pixel to pixel correlation indices
de Souza, José Carlos
Correlation matrixes
Pixels
Plant cover
Remote sensing
Vegetation index
title_short Method for evaluating plant cover and quantification using pixel to pixel correlation indices
title_full Method for evaluating plant cover and quantification using pixel to pixel correlation indices
title_fullStr Method for evaluating plant cover and quantification using pixel to pixel correlation indices
title_full_unstemmed Method for evaluating plant cover and quantification using pixel to pixel correlation indices
title_sort Method for evaluating plant cover and quantification using pixel to pixel correlation indices
author de Souza, José Carlos
author_facet de Souza, José Carlos
Lopes, Elfany Reis Do Nascimento [UNESP]
de Sousa, Josy Ana Paixão [UNESP]
Martins, Antônio Cesar Germano [UNESP]
Lourenço, Roberto Wagner [UNESP]
author_role author
author2 Lopes, Elfany Reis Do Nascimento [UNESP]
de Sousa, Josy Ana Paixão [UNESP]
Martins, Antônio Cesar Germano [UNESP]
Lourenço, Roberto Wagner [UNESP]
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
dc.contributor.author.fl_str_mv de Souza, José Carlos
Lopes, Elfany Reis Do Nascimento [UNESP]
de Sousa, Josy Ana Paixão [UNESP]
Martins, Antônio Cesar Germano [UNESP]
Lourenço, Roberto Wagner [UNESP]
dc.subject.por.fl_str_mv Correlation matrixes
Pixels
Plant cover
Remote sensing
Vegetation index
topic Correlation matrixes
Pixels
Plant cover
Remote sensing
Vegetation index
description This 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.
publishDate 2018
dc.date.none.fl_str_mv 2018-07-01
2022-04-29T08:28:04Z
2022-04-29T08:28:04Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.4090/juee.2018.v12n2.245256
Journal of Urban and Environmental Engineering, v. 12, n. 2, p. 245-256, 2018.
1982-3932
http://hdl.handle.net/11449/228687
10.4090/juee.2018.v12n2.245256
2-s2.0-85066758028
url http://dx.doi.org/10.4090/juee.2018.v12n2.245256
http://hdl.handle.net/11449/228687
identifier_str_mv Journal of Urban and Environmental Engineering, v. 12, n. 2, p. 245-256, 2018.
1982-3932
10.4090/juee.2018.v12n2.245256
2-s2.0-85066758028
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Journal of Urban and Environmental Engineering
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 245-256
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
_version_ 1808129029934415872

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