Landscape analysis and land use evolution in the hydrographic basin of Barra Seca river, ES

Bibliographic Details
Main Author: Guarnier, Letícia
Publication Date: 2018
Other Authors: Oliveira, Fabricia Benda de, Fonseca, Vicente Sombra da, Oliveira, Carlos Henrique Rodrigues de
Format: Article
Language: eng
Source: Revista Ciência e Natura (Online)
Download full: https://periodicos.ufsm.br/cienciaenatura/article/view/30413
Summary: Multitemporal analysis for monitoring land cover and use is an important tool for understanding the evolutionary dynamics of a region, assisting the knowledge on the environmental reality. This study aimed at mapping the land cover classes of the Barra Seca River basin, in northern Espírito Santo, obtained using the Bhattacharya algorithm supervised classification in 1985, 1996, 2006 and 2016. The land use and occupation map allowed characterizing quantitatively the areas identified in the basin map in 10 classes as follows water bodies, agriculture and grasses, dense tree cover, sparse tree cover, exposed soil, wetlands, urban areas, rocky outcrops, shade, and clouds. The landscape maps were obtained using the Patch Analyst extension. In the studied time interval, the land use and occupation in the basin changed little, with areas dominated mostly by agriculture and grasslands, followed by forests while the basin vegetation area also remained mostly unchanged. However, the quantitative analysis using landscape metrics indicates an increasing fragmentation and edge effect in the Barra Seca River basin.
id UFSM-23_ccf1573b3069cf6b13dc43aea6ff552b
oai_identifier_str oai:ojs.pkp.sfu.ca:article/30413
network_acronym_str UFSM-23
network_name_str Revista Ciência e Natura (Online)
repository_id_str
spelling Landscape analysis and land use evolution in the hydrographic basin of Barra Seca river, ESAtlantic ForestLandscape metricsRemote sensingMultitemporal analysis for monitoring land cover and use is an important tool for understanding the evolutionary dynamics of a region, assisting the knowledge on the environmental reality. This study aimed at mapping the land cover classes of the Barra Seca River basin, in northern Espírito Santo, obtained using the Bhattacharya algorithm supervised classification in 1985, 1996, 2006 and 2016. The land use and occupation map allowed characterizing quantitatively the areas identified in the basin map in 10 classes as follows water bodies, agriculture and grasses, dense tree cover, sparse tree cover, exposed soil, wetlands, urban areas, rocky outcrops, shade, and clouds. The landscape maps were obtained using the Patch Analyst extension. In the studied time interval, the land use and occupation in the basin changed little, with areas dominated mostly by agriculture and grasslands, followed by forests while the basin vegetation area also remained mostly unchanged. However, the quantitative analysis using landscape metrics indicates an increasing fragmentation and edge effect in the Barra Seca River basin.Universidade Federal de Santa Maria2018-03-27info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufsm.br/cienciaenatura/article/view/3041310.5902/2179460X30413Ciência e Natura; CIÊNCIA E NATURA, V. 40, 2018; e50Ciência e Natura; CIÊNCIA E NATURA, V. 40, 2018; e502179-460X0100-8307reponame:Revista Ciência e Natura (Online)instname:Universidade Federal de Santa Maria (UFSM)instacron:UFSMenghttps://periodicos.ufsm.br/cienciaenatura/article/view/30413/pdfCopyright (c) 2018 Ciência e Naturainfo:eu-repo/semantics/openAccessGuarnier, LetíciaOliveira, Fabricia Benda deFonseca, Vicente Sombra daOliveira, Carlos Henrique Rodrigues de2020-04-22T18:02:34Zoai:ojs.pkp.sfu.ca:article/30413Revistahttps://periodicos.ufsm.br/cienciaenatura/indexPUBhttps://periodicos.ufsm.br/cienciaenatura/oaicienciaenatura@ufsm.br || centraldeperiodicos@ufsm.br2179-460X0100-8307opendoar:2020-04-22T18:02:34Revista Ciência e Natura (Online) - Universidade Federal de Santa Maria (UFSM)false
dc.title.none.fl_str_mv Landscape analysis and land use evolution in the hydrographic basin of Barra Seca river, ES
title Landscape analysis and land use evolution in the hydrographic basin of Barra Seca river, ES
spellingShingle Landscape analysis and land use evolution in the hydrographic basin of Barra Seca river, ES
Guarnier, Letícia
Atlantic Forest
Landscape metrics
Remote sensing
title_short Landscape analysis and land use evolution in the hydrographic basin of Barra Seca river, ES
title_full Landscape analysis and land use evolution in the hydrographic basin of Barra Seca river, ES
title_fullStr Landscape analysis and land use evolution in the hydrographic basin of Barra Seca river, ES
title_full_unstemmed Landscape analysis and land use evolution in the hydrographic basin of Barra Seca river, ES
title_sort Landscape analysis and land use evolution in the hydrographic basin of Barra Seca river, ES
author Guarnier, Letícia
author_facet Guarnier, Letícia
Oliveira, Fabricia Benda de
Fonseca, Vicente Sombra da
Oliveira, Carlos Henrique Rodrigues de
author_role author
author2 Oliveira, Fabricia Benda de
Fonseca, Vicente Sombra da
Oliveira, Carlos Henrique Rodrigues de
author2_role author
author
author
dc.contributor.author.fl_str_mv Guarnier, Letícia
Oliveira, Fabricia Benda de
Fonseca, Vicente Sombra da
Oliveira, Carlos Henrique Rodrigues de
dc.subject.por.fl_str_mv Atlantic Forest
Landscape metrics
Remote sensing
topic Atlantic Forest
Landscape metrics
Remote sensing
description Multitemporal analysis for monitoring land cover and use is an important tool for understanding the evolutionary dynamics of a region, assisting the knowledge on the environmental reality. This study aimed at mapping the land cover classes of the Barra Seca River basin, in northern Espírito Santo, obtained using the Bhattacharya algorithm supervised classification in 1985, 1996, 2006 and 2016. The land use and occupation map allowed characterizing quantitatively the areas identified in the basin map in 10 classes as follows water bodies, agriculture and grasses, dense tree cover, sparse tree cover, exposed soil, wetlands, urban areas, rocky outcrops, shade, and clouds. The landscape maps were obtained using the Patch Analyst extension. In the studied time interval, the land use and occupation in the basin changed little, with areas dominated mostly by agriculture and grasslands, followed by forests while the basin vegetation area also remained mostly unchanged. However, the quantitative analysis using landscape metrics indicates an increasing fragmentation and edge effect in the Barra Seca River basin.
publishDate 2018
dc.date.none.fl_str_mv 2018-03-27
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://periodicos.ufsm.br/cienciaenatura/article/view/30413
10.5902/2179460X30413
url https://periodicos.ufsm.br/cienciaenatura/article/view/30413
identifier_str_mv 10.5902/2179460X30413
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://periodicos.ufsm.br/cienciaenatura/article/view/30413/pdf
dc.rights.driver.fl_str_mv Copyright (c) 2018 Ciência e Natura
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2018 Ciência e Natura
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Santa Maria
publisher.none.fl_str_mv Universidade Federal de Santa Maria
dc.source.none.fl_str_mv Ciência e Natura; CIÊNCIA E NATURA, V. 40, 2018; e50
Ciência e Natura; CIÊNCIA E NATURA, V. 40, 2018; e50
2179-460X
0100-8307
reponame:Revista Ciência e Natura (Online)
instname:Universidade Federal de Santa Maria (UFSM)
instacron:UFSM
instname_str Universidade Federal de Santa Maria (UFSM)
instacron_str UFSM
institution UFSM
reponame_str Revista Ciência e Natura (Online)
collection Revista Ciência e Natura (Online)
repository.name.fl_str_mv Revista Ciência e Natura (Online) - Universidade Federal de Santa Maria (UFSM)
repository.mail.fl_str_mv cienciaenatura@ufsm.br || centraldeperiodicos@ufsm.br
_version_ 1839277883534606336