Variation of the Pantanal's Landcover from 2000 to 2015 by Remote Sensing with Free Software and Data
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Anuário do Instituto de Geociências (Online) |
Texto Completo: | https://revistas.ufrj.br/index.php/aigeo/article/view/7004 |
Resumo: | Due to the great environmental importance and the advance of the agro pastoralist activities in Pantanal, the aim of the current study is to analyze the modifications that occurred in the land cover, considered one of the richest areas in biodiversity of the planet. The work is justified on the importance of preserving the Pantanal, since it plays a very important role in the maintenance of such biodiversity. As the livestock is the basis of the local economy, and knowing that it is the activity that most promote deforestation, one should intensify the monitoring to ensure the conservation and predict potential impacts on forest vegetation. Thus, for this work we used TERRA satellite images, MODIS sensor, which are available for free, and also NDVI data (Normalized Difference Vegetation Index), MOD13Q1 product, from the same sensor of two distinct years - 2000 and 2015. Such data were analyzed on QGIS 2.8 (QGIS Development Team, 2015) freely available, where through false color multitemporal reclassification, the change in the land cover was verified between the two years. The results show a reduction of 28.8% of the forest vegetation and an increasing of 11.6% of undergrowth (fields or pastures). It is interesting to highlight that it is possible to apply the methodology used in this work elsewhere without financial cost, since there was no need to purchase the images and software. |
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Variation of the Pantanal's Landcover from 2000 to 2015 by Remote Sensing with Free Software and DataVariação da Cobertura do Solo no Pantanal de 2000 a 2015 por Sensoriamento Remoto com Software e Dados GratuitosMultitemporal analysis; NDVI; MODIS; QGIS.Análise multitemporal; NDVI; MODIS; QGIS.Due to the great environmental importance and the advance of the agro pastoralist activities in Pantanal, the aim of the current study is to analyze the modifications that occurred in the land cover, considered one of the richest areas in biodiversity of the planet. The work is justified on the importance of preserving the Pantanal, since it plays a very important role in the maintenance of such biodiversity. As the livestock is the basis of the local economy, and knowing that it is the activity that most promote deforestation, one should intensify the monitoring to ensure the conservation and predict potential impacts on forest vegetation. Thus, for this work we used TERRA satellite images, MODIS sensor, which are available for free, and also NDVI data (Normalized Difference Vegetation Index), MOD13Q1 product, from the same sensor of two distinct years - 2000 and 2015. Such data were analyzed on QGIS 2.8 (QGIS Development Team, 2015) freely available, where through false color multitemporal reclassification, the change in the land cover was verified between the two years. The results show a reduction of 28.8% of the forest vegetation and an increasing of 11.6% of undergrowth (fields or pastures). It is interesting to highlight that it is possible to apply the methodology used in this work elsewhere without financial cost, since there was no need to purchase the images and software.Devido à grande importância ambiental e diante do avanço das atividades agropastoris no Pantanal, o presente estudo tem como objetivo analisar as modificações ocorridas na cobertura do solo na região, considerada uma das áreas mais ricas em biodiversidade do planeta. O trabalho justifica-se na relevância da preservação do Pantanal, já que este desempenha papel importantíssimo na manutenção de tal biodiversidade. Sendo a pecuária a base da economia local, e sabendo que é a atividade que mais promove o desmatamento, deve-se redobrar o monitoramento para garantir a conservação e prever possíveis impactos na vegetação. Assim, para a realização deste trabalho utilizaram-se imagens do satélite TERRA, sensor MODIS, as quais estão disponíveis de forma gratuita na rede, utilizando-se também dados de NDVI (índice de vegetação da diferença normalizada), produto MOD13Q1, do mesmo sensor e também gratuito, de dois anos distintos -- 2000 e 2015. Tais dados foram analisados no SIG (sistemas de informações geográficas) livre e gratuito QGIS versão 2.8 (QGIS Development Team, 2015), onde através de composições falsa-cor multitemporais e de reclassificação verificou-se a mudança na cobertura do solo do Pantanal entre os dois anos. O resultado apresentou a redução de 28,8% de vegetação arbóreo-arbustiva e o aumento de 11,6% de vegetação rasteira (campos ou pastagens). É interessante destacar que a metodologia utilizada neste trabalho é passível de ser aplicada em outros locais sem custo, visto que não houve a necessidade de gastos com compra de imagens e softwares.Universidade Federal do Rio de Janeiro2016-06-23info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistas.ufrj.br/index.php/aigeo/article/view/700410.11137/2016_2_116_123Anuário do Instituto de Geociências; Vol 39, No 2 (2016); 116-123Anuário do Instituto de Geociências; Vol 39, No 2 (2016); 116-1231982-39080101-9759reponame:Anuário do Instituto de Geociências (Online)instname:Universidade Federal do Rio de Janeiro (UFRJ)instacron:UFRJporhttps://revistas.ufrj.br/index.php/aigeo/article/view/7004/5571Copyright (c) 2016 Anuário do Instituto de Geociênciashttp://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessPeres, Poliana NevesMioto, Camila LeonardoMarcato Junior, JoséParanhos Filho, Antonio Conceição2017-01-23T22:48:34Zoai:www.revistas.ufrj.br:article/7004Revistahttps://revistas.ufrj.br/index.php/aigeo/indexPUBhttps://revistas.ufrj.br/index.php/aigeo/oaianuario@igeo.ufrj.br||1982-39080101-9759opendoar:2017-01-23T22:48:34Anuário do Instituto de Geociências (Online) - Universidade Federal do Rio de Janeiro (UFRJ)false |
dc.title.none.fl_str_mv |
Variation of the Pantanal's Landcover from 2000 to 2015 by Remote Sensing with Free Software and Data Variação da Cobertura do Solo no Pantanal de 2000 a 2015 por Sensoriamento Remoto com Software e Dados Gratuitos |
title |
Variation of the Pantanal's Landcover from 2000 to 2015 by Remote Sensing with Free Software and Data |
spellingShingle |
Variation of the Pantanal's Landcover from 2000 to 2015 by Remote Sensing with Free Software and Data Peres, Poliana Neves Multitemporal analysis; NDVI; MODIS; QGIS. Análise multitemporal; NDVI; MODIS; QGIS. |
title_short |
Variation of the Pantanal's Landcover from 2000 to 2015 by Remote Sensing with Free Software and Data |
title_full |
Variation of the Pantanal's Landcover from 2000 to 2015 by Remote Sensing with Free Software and Data |
title_fullStr |
Variation of the Pantanal's Landcover from 2000 to 2015 by Remote Sensing with Free Software and Data |
title_full_unstemmed |
Variation of the Pantanal's Landcover from 2000 to 2015 by Remote Sensing with Free Software and Data |
title_sort |
Variation of the Pantanal's Landcover from 2000 to 2015 by Remote Sensing with Free Software and Data |
author |
Peres, Poliana Neves |
author_facet |
Peres, Poliana Neves Mioto, Camila Leonardo Marcato Junior, José Paranhos Filho, Antonio Conceição |
author_role |
author |
author2 |
Mioto, Camila Leonardo Marcato Junior, José Paranhos Filho, Antonio Conceição |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Peres, Poliana Neves Mioto, Camila Leonardo Marcato Junior, José Paranhos Filho, Antonio Conceição |
dc.subject.por.fl_str_mv |
Multitemporal analysis; NDVI; MODIS; QGIS. Análise multitemporal; NDVI; MODIS; QGIS. |
topic |
Multitemporal analysis; NDVI; MODIS; QGIS. Análise multitemporal; NDVI; MODIS; QGIS. |
description |
Due to the great environmental importance and the advance of the agro pastoralist activities in Pantanal, the aim of the current study is to analyze the modifications that occurred in the land cover, considered one of the richest areas in biodiversity of the planet. The work is justified on the importance of preserving the Pantanal, since it plays a very important role in the maintenance of such biodiversity. As the livestock is the basis of the local economy, and knowing that it is the activity that most promote deforestation, one should intensify the monitoring to ensure the conservation and predict potential impacts on forest vegetation. Thus, for this work we used TERRA satellite images, MODIS sensor, which are available for free, and also NDVI data (Normalized Difference Vegetation Index), MOD13Q1 product, from the same sensor of two distinct years - 2000 and 2015. Such data were analyzed on QGIS 2.8 (QGIS Development Team, 2015) freely available, where through false color multitemporal reclassification, the change in the land cover was verified between the two years. The results show a reduction of 28.8% of the forest vegetation and an increasing of 11.6% of undergrowth (fields or pastures). It is interesting to highlight that it is possible to apply the methodology used in this work elsewhere without financial cost, since there was no need to purchase the images and software. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-06-23 |
dc.type.none.fl_str_mv |
|
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://revistas.ufrj.br/index.php/aigeo/article/view/7004 10.11137/2016_2_116_123 |
url |
https://revistas.ufrj.br/index.php/aigeo/article/view/7004 |
identifier_str_mv |
10.11137/2016_2_116_123 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://revistas.ufrj.br/index.php/aigeo/article/view/7004/5571 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2016 Anuário do Instituto de Geociências http://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2016 Anuário do Instituto de Geociências http://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal do Rio de Janeiro |
publisher.none.fl_str_mv |
Universidade Federal do Rio de Janeiro |
dc.source.none.fl_str_mv |
Anuário do Instituto de Geociências; Vol 39, No 2 (2016); 116-123 Anuário do Instituto de Geociências; Vol 39, No 2 (2016); 116-123 1982-3908 0101-9759 reponame:Anuário do Instituto de Geociências (Online) instname:Universidade Federal do Rio de Janeiro (UFRJ) instacron:UFRJ |
instname_str |
Universidade Federal do Rio de Janeiro (UFRJ) |
instacron_str |
UFRJ |
institution |
UFRJ |
reponame_str |
Anuário do Instituto de Geociências (Online) |
collection |
Anuário do Instituto de Geociências (Online) |
repository.name.fl_str_mv |
Anuário do Instituto de Geociências (Online) - Universidade Federal do Rio de Janeiro (UFRJ) |
repository.mail.fl_str_mv |
anuario@igeo.ufrj.br|| |
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1797053539198959616 |