Spatial and temporal changes in vegetation conditions in Paulist interior

Detalhes bibliográficos
Autor(a) principal: Filgueiras, Roberto
Data de Publicação: 2019
Outros Autores: Pastori Nicolete, Donizete Aparecido [UNESP], Cunha, Antonio Ribeiro [UNESP], Lopes Zimback, Celia Regina [UNESP]
Tipo de documento: Artigo
Idioma: por
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.31413/nativa.v7i5.7121
http://hdl.handle.net/11449/194835
Resumo: There is an increasing demand to better understand the dynamics of the vegetation conditions over time as a result of the improvement of remote sensing techniques. Yhis study aimed to analyse the spatio-temporal behavior of vegetation, stratified by land use in area located in Botucatu-SP. We sused21 Landsat-5 TM images in 25 years (1985 - 2010) of analysis. We applied conversion of the digital numbers to physical values, atmospheric and topographic corrections, which allowed to analyze the vegetation changes by using the VCI (Vegetation Condition Index) calculation. The VCI showed a good performance in analyzing the spatiotemporal vegetation condition at a local level, it is sensitive to local variations of rainfall, it enhances the variability of the intra-class land use for the vigor of vegetation. By applying the VCI we were able to observe the vegetation pattern of the semideciduous forest (land use class = Forest) present in the area, fact that makes this methodology recommended in future researches related to the analysis of the vegetation condition.
id UNSP_0ff961cae08d4628f73ff0411c3f7a7f
oai_identifier_str oai:repositorio.unesp.br:11449/194835
network_acronym_str UNSP
network_name_str Repositório Institucional da UNESP
repository_id_str 2946
spelling Spatial and temporal changes in vegetation conditions in Paulist interiorenvironmental monitoringremote sensingtime seriesThere is an increasing demand to better understand the dynamics of the vegetation conditions over time as a result of the improvement of remote sensing techniques. Yhis study aimed to analyse the spatio-temporal behavior of vegetation, stratified by land use in area located in Botucatu-SP. We sused21 Landsat-5 TM images in 25 years (1985 - 2010) of analysis. We applied conversion of the digital numbers to physical values, atmospheric and topographic corrections, which allowed to analyze the vegetation changes by using the VCI (Vegetation Condition Index) calculation. The VCI showed a good performance in analyzing the spatiotemporal vegetation condition at a local level, it is sensitive to local variations of rainfall, it enhances the variability of the intra-class land use for the vigor of vegetation. By applying the VCI we were able to observe the vegetation pattern of the semideciduous forest (land use class = Forest) present in the area, fact that makes this methodology recommended in future researches related to the analysis of the vegetation condition.Univ Fed Vicosa, Dept Engn Agr, Vicosa, MG, BrazilUniv Estadual Paulista, Fac Ciencias Agron, Botucatu, SP, BrazilUniv Estadual Paulista, Fac Ciencias Agron, Botucatu, SP, BrazilUniv Federal Mato GrossoUniversidade Federal de Viçosa (UFV)Universidade Estadual Paulista (Unesp)Filgueiras, RobertoPastori Nicolete, Donizete Aparecido [UNESP]Cunha, Antonio Ribeiro [UNESP]Lopes Zimback, Celia Regina [UNESP]2020-12-10T16:56:03Z2020-12-10T16:56:03Z2019-09-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article582-588http://dx.doi.org/10.31413/nativa.v7i5.7121Nativa. Sinop: Univ Federal Mato Grosso, v. 7, n. 5, p. 582-588, 2019.2318-7670http://hdl.handle.net/11449/19483510.31413/nativa.v7i5.7121WOS:000485808600017Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPporNativainfo:eu-repo/semantics/openAccess2021-10-23T11:55:48Zoai:repositorio.unesp.br:11449/194835Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T16:51:45.602789Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Spatial and temporal changes in vegetation conditions in Paulist interior
title Spatial and temporal changes in vegetation conditions in Paulist interior
spellingShingle Spatial and temporal changes in vegetation conditions in Paulist interior
Filgueiras, Roberto
environmental monitoring
remote sensing
time series
title_short Spatial and temporal changes in vegetation conditions in Paulist interior
title_full Spatial and temporal changes in vegetation conditions in Paulist interior
title_fullStr Spatial and temporal changes in vegetation conditions in Paulist interior
title_full_unstemmed Spatial and temporal changes in vegetation conditions in Paulist interior
title_sort Spatial and temporal changes in vegetation conditions in Paulist interior
author Filgueiras, Roberto
author_facet Filgueiras, Roberto
Pastori Nicolete, Donizete Aparecido [UNESP]
Cunha, Antonio Ribeiro [UNESP]
Lopes Zimback, Celia Regina [UNESP]
author_role author
author2 Pastori Nicolete, Donizete Aparecido [UNESP]
Cunha, Antonio Ribeiro [UNESP]
Lopes Zimback, Celia Regina [UNESP]
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade Federal de Viçosa (UFV)
Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Filgueiras, Roberto
Pastori Nicolete, Donizete Aparecido [UNESP]
Cunha, Antonio Ribeiro [UNESP]
Lopes Zimback, Celia Regina [UNESP]
dc.subject.por.fl_str_mv environmental monitoring
remote sensing
time series
topic environmental monitoring
remote sensing
time series
description There is an increasing demand to better understand the dynamics of the vegetation conditions over time as a result of the improvement of remote sensing techniques. Yhis study aimed to analyse the spatio-temporal behavior of vegetation, stratified by land use in area located in Botucatu-SP. We sused21 Landsat-5 TM images in 25 years (1985 - 2010) of analysis. We applied conversion of the digital numbers to physical values, atmospheric and topographic corrections, which allowed to analyze the vegetation changes by using the VCI (Vegetation Condition Index) calculation. The VCI showed a good performance in analyzing the spatiotemporal vegetation condition at a local level, it is sensitive to local variations of rainfall, it enhances the variability of the intra-class land use for the vigor of vegetation. By applying the VCI we were able to observe the vegetation pattern of the semideciduous forest (land use class = Forest) present in the area, fact that makes this methodology recommended in future researches related to the analysis of the vegetation condition.
publishDate 2019
dc.date.none.fl_str_mv 2019-09-01
2020-12-10T16:56:03Z
2020-12-10T16:56:03Z
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/10.31413/nativa.v7i5.7121
Nativa. Sinop: Univ Federal Mato Grosso, v. 7, n. 5, p. 582-588, 2019.
2318-7670
http://hdl.handle.net/11449/194835
10.31413/nativa.v7i5.7121
WOS:000485808600017
url http://dx.doi.org/10.31413/nativa.v7i5.7121
http://hdl.handle.net/11449/194835
identifier_str_mv Nativa. Sinop: Univ Federal Mato Grosso, v. 7, n. 5, p. 582-588, 2019.
2318-7670
10.31413/nativa.v7i5.7121
WOS:000485808600017
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv Nativa
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 582-588
dc.publisher.none.fl_str_mv Univ Federal Mato Grosso
publisher.none.fl_str_mv Univ Federal Mato Grosso
dc.source.none.fl_str_mv Web of Science
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_ 1808128712152973312