Multitemporal Analysis of Forest Cover in the Arroio Grande Small Hydrological Basin, Santa Maria, RS

Detalhes bibliográficos
Autor(a) principal: Kleinpaul, Joel Juliano
Data de Publicação: 2011
Outros Autores: Pereira, Rudiney Soares, Hendges, Elvis Rabuske, Benedetti, Ana Carolina Paim, Zorzi, Cícero, Ferrari, Renata
Tipo de documento: Artigo
Idioma: por
Título da fonte: Pesquisa Florestal Brasileira (Online)
Texto Completo: https://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/235
Resumo: This work aims to carry out a multitemporal analysis of the forest cover of Arroio Grande small hydrological basin located in Santa Maria, RS, Brazil. Four satellite images were used: LANDSAT 5 (1987), LANDSAT 5 (1995), LANDSAT 7 (2002) and CBERS 2 (2005). The images were classified according to the Bhattacharya algorithm. After the classification of such images, the crossing of the thematic maps was accomplished. Maps with different land uses were obtained: unaffected forest cover, regeneration and deforestation for the period 1987 – 2005. During 18 years, the forest cover increased 10,24% in the basin area, changing from 14.135,42 ha (40,01%) in 1987 to 17.752,20 ha (50,25%) in 2005. This happened because the State Forest Law has become effective as well as the rural owners’ consciousness and also due to increment of exotic forest plantations in the State. 
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spelling Multitemporal Analysis of Forest Cover in the Arroio Grande Small Hydrological Basin, Santa Maria, RSAnálise Multitemporal da Cobertura Florestal da Microbacia do Arroio Grande, Santa Maria, RSRemote sensingGISmultitemporal dataBrazil.sensoriamento remotoSIGdados multitemporais.This work aims to carry out a multitemporal analysis of the forest cover of Arroio Grande small hydrological basin located in Santa Maria, RS, Brazil. Four satellite images were used: LANDSAT 5 (1987), LANDSAT 5 (1995), LANDSAT 7 (2002) and CBERS 2 (2005). The images were classified according to the Bhattacharya algorithm. After the classification of such images, the crossing of the thematic maps was accomplished. Maps with different land uses were obtained: unaffected forest cover, regeneration and deforestation for the period 1987 – 2005. During 18 years, the forest cover increased 10,24% in the basin area, changing from 14.135,42 ha (40,01%) in 1987 to 17.752,20 ha (50,25%) in 2005. This happened because the State Forest Law has become effective as well as the rural owners’ consciousness and also due to increment of exotic forest plantations in the State. Este trabalho teve como objetivo realizar uma análise multitemporal da cobertura florestal da microbacia do Arroio Grande, Santa Maria, RS. Foram utilizadas quatro imagens de satélite: LANDSAT 5 (1987), LANDSAT 5 (1995), LANDSAT 7 (2002) e CBERS 2 (2005). As imagens foram classificadas empregando-se o algoritmo Bhattacharya. Após a classificação das imagens, foi realizado o cruzamento dos mapas temáticos. Como resultado, obteve-se mapas com os seguintes usos da terra: cobertura florestal, regeneração e desmatamento, ou seja, as florestas que permaneceram inalteradas de uma época para outra, as que regeneraram e as que foram desmatadas. Para um período de 18 anos, a cobertura florestal aumentou 10,24% na área da microbacia, passando de 14.135,42 ha (40,01%) em 1987 para 17.752,20 ha (50,25%) em 2005. Isto ocorreu devido à entrada em vigor do Código Florestal Estadual, à conscientização dosproprietários rurais e à implantação em maiorescala de povoamentos de espécies exóticas no estado. Embrapa Florestas2011-03-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/235Pesquisa Florestal Brasileira; n. 51 (2005): jul./dez.; 171Pesquisa Florestal Brasileira; No. 51 (2005): jul./dez.; 1711983-26051809-3647reponame:Pesquisa Florestal Brasileira (Online)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPAporhttps://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/235/186Kleinpaul, Joel JulianoPereira, Rudiney SoaresHendges, Elvis RabuskeBenedetti, Ana Carolina PaimZorzi, CíceroFerrari, Renatainfo:eu-repo/semantics/openAccess2017-04-28T14:11:52Zoai:pfb.cnpf.embrapa.br/pfb:article/235Revistahttps://pfb.cnpf.embrapa.br/pfb/index.php/pfb/PUBhttps://pfb.cnpf.embrapa.br/pfb/index.php/pfb/oaipfb@embrapa.br || revista.pfb@gmail.com || patricia.mattos@embrapa.br1983-26051809-3647opendoar:2017-04-28T14:11:52Pesquisa Florestal Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Multitemporal Analysis of Forest Cover in the Arroio Grande Small Hydrological Basin, Santa Maria, RS
Análise Multitemporal da Cobertura Florestal da Microbacia do Arroio Grande, Santa Maria, RS
title Multitemporal Analysis of Forest Cover in the Arroio Grande Small Hydrological Basin, Santa Maria, RS
spellingShingle Multitemporal Analysis of Forest Cover in the Arroio Grande Small Hydrological Basin, Santa Maria, RS
Kleinpaul, Joel Juliano
Remote sensing
GIS
multitemporal data
Brazil.
sensoriamento remoto
SIG
dados multitemporais.
title_short Multitemporal Analysis of Forest Cover in the Arroio Grande Small Hydrological Basin, Santa Maria, RS
title_full Multitemporal Analysis of Forest Cover in the Arroio Grande Small Hydrological Basin, Santa Maria, RS
title_fullStr Multitemporal Analysis of Forest Cover in the Arroio Grande Small Hydrological Basin, Santa Maria, RS
title_full_unstemmed Multitemporal Analysis of Forest Cover in the Arroio Grande Small Hydrological Basin, Santa Maria, RS
title_sort Multitemporal Analysis of Forest Cover in the Arroio Grande Small Hydrological Basin, Santa Maria, RS
author Kleinpaul, Joel Juliano
author_facet Kleinpaul, Joel Juliano
Pereira, Rudiney Soares
Hendges, Elvis Rabuske
Benedetti, Ana Carolina Paim
Zorzi, Cícero
Ferrari, Renata
author_role author
author2 Pereira, Rudiney Soares
Hendges, Elvis Rabuske
Benedetti, Ana Carolina Paim
Zorzi, Cícero
Ferrari, Renata
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Kleinpaul, Joel Juliano
Pereira, Rudiney Soares
Hendges, Elvis Rabuske
Benedetti, Ana Carolina Paim
Zorzi, Cícero
Ferrari, Renata
dc.subject.por.fl_str_mv Remote sensing
GIS
multitemporal data
Brazil.
sensoriamento remoto
SIG
dados multitemporais.
topic Remote sensing
GIS
multitemporal data
Brazil.
sensoriamento remoto
SIG
dados multitemporais.
description This work aims to carry out a multitemporal analysis of the forest cover of Arroio Grande small hydrological basin located in Santa Maria, RS, Brazil. Four satellite images were used: LANDSAT 5 (1987), LANDSAT 5 (1995), LANDSAT 7 (2002) and CBERS 2 (2005). The images were classified according to the Bhattacharya algorithm. After the classification of such images, the crossing of the thematic maps was accomplished. Maps with different land uses were obtained: unaffected forest cover, regeneration and deforestation for the period 1987 – 2005. During 18 years, the forest cover increased 10,24% in the basin area, changing from 14.135,42 ha (40,01%) in 1987 to 17.752,20 ha (50,25%) in 2005. This happened because the State Forest Law has become effective as well as the rural owners’ consciousness and also due to increment of exotic forest plantations in the State. 
publishDate 2011
dc.date.none.fl_str_mv 2011-03-09
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://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/235
url https://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/235
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/235/186
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Embrapa Florestas
publisher.none.fl_str_mv Embrapa Florestas
dc.source.none.fl_str_mv Pesquisa Florestal Brasileira; n. 51 (2005): jul./dez.; 171
Pesquisa Florestal Brasileira; No. 51 (2005): jul./dez.; 171
1983-2605
1809-3647
reponame:Pesquisa Florestal Brasileira (Online)
instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron_str EMBRAPA
institution EMBRAPA
reponame_str Pesquisa Florestal Brasileira (Online)
collection Pesquisa Florestal Brasileira (Online)
repository.name.fl_str_mv Pesquisa Florestal Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
repository.mail.fl_str_mv pfb@embrapa.br || revista.pfb@gmail.com || patricia.mattos@embrapa.br
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