Use of Remote Sensing and Geoprocessing to estimate vegetated and non-vegetated areas in the fastest growing neighborhoods in São Luís-MA, during the years 2000 and 2010

Detalhes bibliográficos
Autor(a) principal: Garcia, Ronald Costa
Data de Publicação: 2021
Outros Autores: Araujo, Rodrigo da Cruz de
Tipo de documento: Artigo
Idioma: por
Título da fonte: Research, Society and Development
Texto Completo: https://rsdjournal.org/index.php/rsd/article/view/15013
Resumo: In the city of São Luís do Maranhão there was a population growth of 17% during the years 2000 to 2010. The urban growth resulting from populational growth affects the vegetation cover, in some areas this change may be positive due to the increase in vegetation or negative due to the loss of vegetation. Since the urban expansion directly affects the vegetated areas, it is interesting to carry out a constant mapping of the vegetation cover. Therefore, remote sensing and geoprocessing combined with a Geographic Information System (GIS) can be viable alternatives for studying the vegetative vigor of certain regions through the Normalized Difference Index (NDVI), to estimate the change in the vegetation resulting from the urban expansion between the years 2000 and 2010, in the capital of Maranhão. In this study, we identified the fifteen neighborhoods in the city that achieved the highest population growth, in addition, the neighborhoods were classified according to occupancy patterns. From satellite images from remote sensing, combined with geoprocessing techniques, it was possible to estimate the vegetated and non-vegetated areas of the fastest-growing neighborhoods in the city of São Luís-MA, in the years 2000 and 2010. Seven neighborhoods showed losses of vegetation over the period, another seven showed an increase in vegetation areas, and one neighborhood showed no variation.
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spelling Use of Remote Sensing and Geoprocessing to estimate vegetated and non-vegetated areas in the fastest growing neighborhoods in São Luís-MA, during the years 2000 and 2010Uso de Teledetección y Geoprocesamiento para estimar áreas con y sin vegetación en los barrios de más rápido crecimiento en São Luís-MA, durante los años 2000 y 2010Uso de Sensoriamento Remoto e Geoprocessamento para estimativa de áreas vegetadas e não vegetadas nos bairros de maior crescimento em São Luís-MA, durante os anos de 2000 e 2010Population growthRemote renseGeoprocessing.Crecimiento de poblaciónTeledetecciónGeoprocesamiento.Crescimento populacionalSensoriamento remotoGeoprocessamento.In the city of São Luís do Maranhão there was a population growth of 17% during the years 2000 to 2010. The urban growth resulting from populational growth affects the vegetation cover, in some areas this change may be positive due to the increase in vegetation or negative due to the loss of vegetation. Since the urban expansion directly affects the vegetated areas, it is interesting to carry out a constant mapping of the vegetation cover. Therefore, remote sensing and geoprocessing combined with a Geographic Information System (GIS) can be viable alternatives for studying the vegetative vigor of certain regions through the Normalized Difference Index (NDVI), to estimate the change in the vegetation resulting from the urban expansion between the years 2000 and 2010, in the capital of Maranhão. In this study, we identified the fifteen neighborhoods in the city that achieved the highest population growth, in addition, the neighborhoods were classified according to occupancy patterns. From satellite images from remote sensing, combined with geoprocessing techniques, it was possible to estimate the vegetated and non-vegetated areas of the fastest-growing neighborhoods in the city of São Luís-MA, in the years 2000 and 2010. Seven neighborhoods showed losses of vegetation over the period, another seven showed an increase in vegetation areas, and one neighborhood showed no variation.En la ciudad de São Luís do Maranhão hubo un crecimiento poblacional del 17% durante los años 2000 a 2010. El crecimiento urbano resultante del crecimiento poblacional afecta la cobertura vegetal, en algunas áreas este cambio puede ser positivo debido al aumento de la vegetación o negativo debido a la pérdida de vegetación. Dado que la expansión urbana afecta directamente a las áreas vegetadas, es interesante realizar un mapeo constante de la cobertura vegetal. Por tanto, la teledetección y el geoprocesamiento combinados con un Sistema de Información Geográfica (SIG) pueden ser alternativas viables para estudiar el vigor vegetativo de determinadas regiones a través del Índice de Diferencia Normalizada (NDVI), como una forma de estimar el cambio en la vegetación resultante de la urbanización. expansión entre los años 2000 y 2010, en la capital de Maranhão. En este estudio, identificamos los quince barrios de la ciudad que lograron el mayor crecimiento poblacional, además los barrios fueron clasificados según patrones de ocupación. A partir de imágenes satelitales de teledetección, combinadas con técnicas de geoprocesamiento, fue posible estimar las áreas con y sin vegetación de los barrios de más rápido crecimiento en la ciudad de São Luís-MA, en los años 2000 y 2010. Siete barrios mostraron pérdidas de vegetación. durante el período, otros siete mostraron un aumento en las áreas de vegetación y un barrio no mostró variación.Na cidade de São Luís do Maranhão houve um crescimento populacional de 17% durante os anos de 2000 à 2010. O crescimento urbano decorrente de aumento populacional afeta a cobertura vegetal, em algumas áreas essa alteração pode ser positiva devido ao aumento da vegetação ou negativa devido a perda de vegetação. Uma vez que a expansão urbana afeta diretamente as áreas vegetadas faz-se interessante a realização de mapeamentos constantes da cobertura vegetal. Diante disso, o sensoriamento remoto e o geoprocessamento aliados a um Sistema de Informações Geográficas (SIG) podem ser alternativas viáveis para o estudo sobre o vigor vegetativo de determinadas regiões por meio do Índice por Diferença Normalizada (NDVI), como forma de estimar a alteração na vegetação decorrente da expansão urbana entre os anos de 2000 e 2010, na capital maranhense. Neste estudo, identificou-se os quinze bairros da cidade que obtiveram maior crescimento populacional, além disso os bairros foram classificados de acordo com os padrões de ocupações. A partir das imagens de satélites provenientes do sensoriamento remoto, aliadas com as técnicas de geoprocessamento foi possível estimar as áreas vegetadas e não vegetadas dos bairros de maior crescimento da cidade de São Luís-MA, nos anos de 2000 e 2010. Sete bairros apresentaram perdas de vegetação ao longo do período, outros sete apresentaram um aumento das áreas de vegetação e um bairro não apresentou variação.Research, Society and Development2021-05-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/1501310.33448/rsd-v10i5.15013Research, Society and Development; Vol. 10 No. 5; e27110515013Research, Society and Development; Vol. 10 Núm. 5; e27110515013Research, Society and Development; v. 10 n. 5; e271105150132525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/15013/13382Copyright (c) 2021 Ronald Costa Garcia; Rodrigo da Cruz de Araujohttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessGarcia, Ronald CostaAraujo, Rodrigo da Cruz de2021-05-17T18:20:49Zoai:ojs.pkp.sfu.ca:article/15013Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:35:56.874356Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false
dc.title.none.fl_str_mv Use of Remote Sensing and Geoprocessing to estimate vegetated and non-vegetated areas in the fastest growing neighborhoods in São Luís-MA, during the years 2000 and 2010
Uso de Teledetección y Geoprocesamiento para estimar áreas con y sin vegetación en los barrios de más rápido crecimiento en São Luís-MA, durante los años 2000 y 2010
Uso de Sensoriamento Remoto e Geoprocessamento para estimativa de áreas vegetadas e não vegetadas nos bairros de maior crescimento em São Luís-MA, durante os anos de 2000 e 2010
title Use of Remote Sensing and Geoprocessing to estimate vegetated and non-vegetated areas in the fastest growing neighborhoods in São Luís-MA, during the years 2000 and 2010
spellingShingle Use of Remote Sensing and Geoprocessing to estimate vegetated and non-vegetated areas in the fastest growing neighborhoods in São Luís-MA, during the years 2000 and 2010
Garcia, Ronald Costa
Population growth
Remote rense
Geoprocessing.
Crecimiento de población
Teledetección
Geoprocesamiento.
Crescimento populacional
Sensoriamento remoto
Geoprocessamento.
title_short Use of Remote Sensing and Geoprocessing to estimate vegetated and non-vegetated areas in the fastest growing neighborhoods in São Luís-MA, during the years 2000 and 2010
title_full Use of Remote Sensing and Geoprocessing to estimate vegetated and non-vegetated areas in the fastest growing neighborhoods in São Luís-MA, during the years 2000 and 2010
title_fullStr Use of Remote Sensing and Geoprocessing to estimate vegetated and non-vegetated areas in the fastest growing neighborhoods in São Luís-MA, during the years 2000 and 2010
title_full_unstemmed Use of Remote Sensing and Geoprocessing to estimate vegetated and non-vegetated areas in the fastest growing neighborhoods in São Luís-MA, during the years 2000 and 2010
title_sort Use of Remote Sensing and Geoprocessing to estimate vegetated and non-vegetated areas in the fastest growing neighborhoods in São Luís-MA, during the years 2000 and 2010
author Garcia, Ronald Costa
author_facet Garcia, Ronald Costa
Araujo, Rodrigo da Cruz de
author_role author
author2 Araujo, Rodrigo da Cruz de
author2_role author
dc.contributor.author.fl_str_mv Garcia, Ronald Costa
Araujo, Rodrigo da Cruz de
dc.subject.por.fl_str_mv Population growth
Remote rense
Geoprocessing.
Crecimiento de población
Teledetección
Geoprocesamiento.
Crescimento populacional
Sensoriamento remoto
Geoprocessamento.
topic Population growth
Remote rense
Geoprocessing.
Crecimiento de población
Teledetección
Geoprocesamiento.
Crescimento populacional
Sensoriamento remoto
Geoprocessamento.
description In the city of São Luís do Maranhão there was a population growth of 17% during the years 2000 to 2010. The urban growth resulting from populational growth affects the vegetation cover, in some areas this change may be positive due to the increase in vegetation or negative due to the loss of vegetation. Since the urban expansion directly affects the vegetated areas, it is interesting to carry out a constant mapping of the vegetation cover. Therefore, remote sensing and geoprocessing combined with a Geographic Information System (GIS) can be viable alternatives for studying the vegetative vigor of certain regions through the Normalized Difference Index (NDVI), to estimate the change in the vegetation resulting from the urban expansion between the years 2000 and 2010, in the capital of Maranhão. In this study, we identified the fifteen neighborhoods in the city that achieved the highest population growth, in addition, the neighborhoods were classified according to occupancy patterns. From satellite images from remote sensing, combined with geoprocessing techniques, it was possible to estimate the vegetated and non-vegetated areas of the fastest-growing neighborhoods in the city of São Luís-MA, in the years 2000 and 2010. Seven neighborhoods showed losses of vegetation over the period, another seven showed an increase in vegetation areas, and one neighborhood showed no variation.
publishDate 2021
dc.date.none.fl_str_mv 2021-05-06
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://rsdjournal.org/index.php/rsd/article/view/15013
10.33448/rsd-v10i5.15013
url https://rsdjournal.org/index.php/rsd/article/view/15013
identifier_str_mv 10.33448/rsd-v10i5.15013
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/15013/13382
dc.rights.driver.fl_str_mv Copyright (c) 2021 Ronald Costa Garcia; Rodrigo da Cruz de Araujo
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2021 Ronald Costa Garcia; Rodrigo da Cruz de Araujo
https://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 Research, Society and Development
publisher.none.fl_str_mv Research, Society and Development
dc.source.none.fl_str_mv Research, Society and Development; Vol. 10 No. 5; e27110515013
Research, Society and Development; Vol. 10 Núm. 5; e27110515013
Research, Society and Development; v. 10 n. 5; e27110515013
2525-3409
reponame:Research, Society and Development
instname:Universidade Federal de Itajubá (UNIFEI)
instacron:UNIFEI
instname_str Universidade Federal de Itajubá (UNIFEI)
instacron_str UNIFEI
institution UNIFEI
reponame_str Research, Society and Development
collection Research, Society and Development
repository.name.fl_str_mv Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)
repository.mail.fl_str_mv rsd.articles@gmail.com
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