Multitemporal Analysis of Forest Cover in the Arroio Grande Small Hydrological Basin, Santa Maria, RS
Autor(a) principal: | |
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Data de Publicação: | 2011 |
Outros Autores: | , , , , |
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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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 |
_version_ |
1783370933140979712 |