Analysis of the correlation between vegetation cover and surface temperature in the municipality of Ji-Paraná, RO, Western Amazon
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | por eng |
Título da fonte: | Revista de Geociências do Nordeste |
Texto Completo: | https://periodicos.ufrn.br/revistadoregne/article/view/27951 |
Resumo: | This paper aims to highlight the consequences the disorderly occupation caused on the surface temperature in Ji-Paraná/RO between 1990 and 2020. The research is based on geoprocessing tools, such as QGis v 3.10, Landsat 5 Thematic Mapper (TM), Landsat 7 Enhanced Thematic Mapper Plus (ETM +), Landsat 8 Orbital Land Imager (OLI) and Thermal InfraRed Sensor (TIRS) satellites, obtained by the United States Geological Survey (USGS). Images were used in order to analyze the Vegetation Index by Normalized Difference (NDVI), estimation of Surface Temperature and Land Use Occupation using the Random Forest method. According to the results, Ji-Paraná’s urban area lost 11,77% of native vegetation in comparison to 1990 figures. Moreover, the entropized area grew 58,53%. As a result, the average temperature has rose from 35,03 °C [34,85 °C; 35,22 °C] in 1990 to 47,04 °C [46,82 °C; 47,26 °C] in 2020. It is evident that native vegetation suppression can directly influence the Surface Temperature and population thermal comfort. Therefore, it is necessary to properly implement the current Master Plan. |
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Analysis of the correlation between vegetation cover and surface temperature in the municipality of Ji-Paraná, RO, Western AmazonAnálisis de la correlación entre cobertura vegetal y temperatura superficial en el área urbana del municipio de Ji-Paraná, RO, Amazonía OccidentalAnálise da correlação entre cobertura vegetal e temperatura de superfície na área urbana do município de Ji-Paraná, RO, Amazônia Ocidental entre 1990 e 2020This paper aims to highlight the consequences the disorderly occupation caused on the surface temperature in Ji-Paraná/RO between 1990 and 2020. The research is based on geoprocessing tools, such as QGis v 3.10, Landsat 5 Thematic Mapper (TM), Landsat 7 Enhanced Thematic Mapper Plus (ETM +), Landsat 8 Orbital Land Imager (OLI) and Thermal InfraRed Sensor (TIRS) satellites, obtained by the United States Geological Survey (USGS). Images were used in order to analyze the Vegetation Index by Normalized Difference (NDVI), estimation of Surface Temperature and Land Use Occupation using the Random Forest method. According to the results, Ji-Paraná’s urban area lost 11,77% of native vegetation in comparison to 1990 figures. Moreover, the entropized area grew 58,53%. As a result, the average temperature has rose from 35,03 °C [34,85 °C; 35,22 °C] in 1990 to 47,04 °C [46,82 °C; 47,26 °C] in 2020. It is evident that native vegetation suppression can directly influence the Surface Temperature and population thermal comfort. Therefore, it is necessary to properly implement the current Master Plan.Esta investigación tuvo como objetivo resaltar las consecuencias que la ocupación desordenada provocó en la temperatura superficial en el municipio de Ji-Paraná/RO en el período comprendido entre 1990 y 2020. Su herramienta de trabajo fueron las herramientas de geoprocesamiento de QGis v3.10, utilizando imágenes de los satélites Landsat 5 Thematic Mapper (TM), Landsat 7 Enhanced Thematic Mapper Plus (ETM+) y Landsat 8 Orbital Land Imager (OLI) y Thermal InfraRed Sensor (TIRS), obtenidos por el Servicio Geológico de los Estados Unidos (USGS – US Geological Survey ). Estas imágenes se utilizaron para obtener datos sobre el índice de vegetación de diferencia normalizada (NDVI), la estimación de la temperatura superficial y la clasificación del uso del suelo por el método Random Forest. Según los resultados, la zona urbana del municipio perdió un 11,77 % de vegetación nativa con respecto a la que había en 1990 y la zona antropizada creció un 58,53 %. Como resultado, la temperatura promedio aumentó 35,03 °C [34,85 °C; 35,22°C] en 1990 a 47,04°C [46,82°C; 47,26 °C] en 2020. Con estos datos, se evidencia que la supresión de la vegetación nativa puede influir directamente en la temperatura superficial y el confort térmico de la población residente en el municipio de Ji-Paraná. Por ello, es necesaria la correcta ejecución del Plan Director vigente.Esta pesquisa teve como objetivo evidenciar as consequências que a ocupação desordenada causou sobre a temperatura de superfície no município de Ji-Paraná/RO no período entre 1990 e 2020. Teve como instrumento de trabalho as ferramentas de geoprocessamento do QGis v3.10, usando imagens dos satélites Landsat 5 Thematic Mapper (TM), Landsat 7 Enhanced Thematic Mapper Plus (ETM+) e Landsat 8 Orbital Land Imager (OLI) e Thermal InfraRed Sensor (TIRS), obtidas pelo Serviço Geológico dos Estados Unidos (USGS – U.S. Geological Survey). Essas imagens foram utilizadas para obter dados de Índice de Vegetação por Diferença Normalizada (NDVI), estimativa da Temperatura de Superfície e classificação do uso do solo pelo método Random Forest. De acordo com os resultados, a área urbana do município perdeu 11,77% de vegetação nativa em comparação ao que havia em 1990 e a área antropizada cresceu 58,53%. Com isso, a temperatura média subiu de 35,03 °C [34,85 °C; 35,22 °C] em 1990 para 47,04 °C [46,82 °C; 47,26 °C] em 2020. Com esses dados fica evidente que a supressão da vegetação nativa pode influenciar diretamente a temperatura de superfície e o conforto térmico da população residente no município de Ji-Paraná. Logo, faz-se necessária a execução adequada do Plano Diretor vigente.Universidade Federal do Rio Grande do Norte2022-12-15info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://periodicos.ufrn.br/revistadoregne/article/view/2795110.21680/2447-3359.2022v8n2ID27951Revista de Geociências do Nordeste; v. 8 n. 2 (2022); 172-1882447-335910.21680/2447-3359.2022v8n2reponame:Revista de Geociências do Nordesteinstname:Universidade Federal do Rio Grande do Norte (UFRN)instacron:UFRNporenghttps://periodicos.ufrn.br/revistadoregne/article/view/27951/16390https://periodicos.ufrn.br/revistadoregne/article/view/27951/16391Copyright (c) 2022 Revista de Geociências do Nordestehttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessReis, Wellington Kruger BritesMoreira, Rodrigo MartinsSantos, Bruno César dosSouza, Paulo Henrique de2022-12-22T18:12:56Zoai:periodicos.ufrn.br:article/27951Revistahttps://periodicos.ufrn.br/revistadoregne/indexPUBhttps://periodicos.ufrn.br/revistadoregne/oairegneufrn@gmail.com || periodicos@bczm.ufrn.br2447-33592447-3359opendoar:2022-12-22T18:12:56Revista de Geociências do Nordeste - Universidade Federal do Rio Grande do Norte (UFRN)false |
dc.title.none.fl_str_mv |
Analysis of the correlation between vegetation cover and surface temperature in the municipality of Ji-Paraná, RO, Western Amazon Análisis de la correlación entre cobertura vegetal y temperatura superficial en el área urbana del municipio de Ji-Paraná, RO, Amazonía Occidental Análise da correlação entre cobertura vegetal e temperatura de superfície na área urbana do município de Ji-Paraná, RO, Amazônia Ocidental entre 1990 e 2020 |
title |
Analysis of the correlation between vegetation cover and surface temperature in the municipality of Ji-Paraná, RO, Western Amazon |
spellingShingle |
Analysis of the correlation between vegetation cover and surface temperature in the municipality of Ji-Paraná, RO, Western Amazon Reis, Wellington Kruger Brites |
title_short |
Analysis of the correlation between vegetation cover and surface temperature in the municipality of Ji-Paraná, RO, Western Amazon |
title_full |
Analysis of the correlation between vegetation cover and surface temperature in the municipality of Ji-Paraná, RO, Western Amazon |
title_fullStr |
Analysis of the correlation between vegetation cover and surface temperature in the municipality of Ji-Paraná, RO, Western Amazon |
title_full_unstemmed |
Analysis of the correlation between vegetation cover and surface temperature in the municipality of Ji-Paraná, RO, Western Amazon |
title_sort |
Analysis of the correlation between vegetation cover and surface temperature in the municipality of Ji-Paraná, RO, Western Amazon |
author |
Reis, Wellington Kruger Brites |
author_facet |
Reis, Wellington Kruger Brites Moreira, Rodrigo Martins Santos, Bruno César dos Souza, Paulo Henrique de |
author_role |
author |
author2 |
Moreira, Rodrigo Martins Santos, Bruno César dos Souza, Paulo Henrique de |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Reis, Wellington Kruger Brites Moreira, Rodrigo Martins Santos, Bruno César dos Souza, Paulo Henrique de |
description |
This paper aims to highlight the consequences the disorderly occupation caused on the surface temperature in Ji-Paraná/RO between 1990 and 2020. The research is based on geoprocessing tools, such as QGis v 3.10, Landsat 5 Thematic Mapper (TM), Landsat 7 Enhanced Thematic Mapper Plus (ETM +), Landsat 8 Orbital Land Imager (OLI) and Thermal InfraRed Sensor (TIRS) satellites, obtained by the United States Geological Survey (USGS). Images were used in order to analyze the Vegetation Index by Normalized Difference (NDVI), estimation of Surface Temperature and Land Use Occupation using the Random Forest method. According to the results, Ji-Paraná’s urban area lost 11,77% of native vegetation in comparison to 1990 figures. Moreover, the entropized area grew 58,53%. As a result, the average temperature has rose from 35,03 °C [34,85 °C; 35,22 °C] in 1990 to 47,04 °C [46,82 °C; 47,26 °C] in 2020. It is evident that native vegetation suppression can directly influence the Surface Temperature and population thermal comfort. Therefore, it is necessary to properly implement the current Master Plan. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-12-15 |
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.ufrn.br/revistadoregne/article/view/27951 10.21680/2447-3359.2022v8n2ID27951 |
url |
https://periodicos.ufrn.br/revistadoregne/article/view/27951 |
identifier_str_mv |
10.21680/2447-3359.2022v8n2ID27951 |
dc.language.iso.fl_str_mv |
por eng |
language |
por eng |
dc.relation.none.fl_str_mv |
https://periodicos.ufrn.br/revistadoregne/article/view/27951/16390 https://periodicos.ufrn.br/revistadoregne/article/view/27951/16391 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2022 Revista de Geociências do Nordeste https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2022 Revista de Geociências do Nordeste https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal do Rio Grande do Norte |
publisher.none.fl_str_mv |
Universidade Federal do Rio Grande do Norte |
dc.source.none.fl_str_mv |
Revista de Geociências do Nordeste; v. 8 n. 2 (2022); 172-188 2447-3359 10.21680/2447-3359.2022v8n2 reponame:Revista de Geociências do Nordeste instname:Universidade Federal do Rio Grande do Norte (UFRN) instacron:UFRN |
instname_str |
Universidade Federal do Rio Grande do Norte (UFRN) |
instacron_str |
UFRN |
institution |
UFRN |
reponame_str |
Revista de Geociências do Nordeste |
collection |
Revista de Geociências do Nordeste |
repository.name.fl_str_mv |
Revista de Geociências do Nordeste - Universidade Federal do Rio Grande do Norte (UFRN) |
repository.mail.fl_str_mv |
regneufrn@gmail.com || periodicos@bczm.ufrn.br |
_version_ |
1797052929349255168 |