Soil use and occupation in Caracol Settlement: a multitemporal assessment using remote sensing and geoprocessing techniques
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Research, Society and Development |
Texto Completo: | https://rsdjournal.org/index.php/rsd/article/view/11029 |
Resumo: | This study focused on the application of remote sensing and geoprocessing techniques to quantify the agroecological use of Caracol settlement area in order to quantify the vegetated areas, as well as the use and occupation of the soil in the years 2000, 2010 and 2020, in the months of May of each year. To achieve the objectives, computational tools (Quantum GIS software) were used, as well as data from Landsat 5 and 8 satellites, bands 3 and 4, 4 and 5 respectively. Vector data from the database of the Brazilian Institute of Geography and Statistics (IBGE), a Digital Elevation Model (DEM), from the United States Geological Survey (USGS/NASA) for evaluation of the watersheds were also used. For vegetation analysis, as well as temporal evolution, the Normalized Difference Vegetation Index (NDVI) was used, with this it was possible to evaluate by means of thematic maps and tables containing the quantification and classification of vegetation and soil cover. It was evident in the present study that there were significant changes in the vegetation landscape over two decades, through anthropic activity by settled families, that were responsible for such changes in the use and soil cover of Caracol settlement. |
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Research, Society and Development |
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Soil use and occupation in Caracol Settlement: a multitemporal assessment using remote sensing and geoprocessing techniquesUso y ocupación del suelo en el Assentamento Caracol: una evaluación multitemporal utilizando técnicas de detección remota y geoprocesamientoUso e ocupação do solo no Assentamento Caracol: uma avaliação multitemporal utilizando técnicas de sensoriamento remoto e geoprocessamentoNormalized difference vegetation index (NDVI)Use of soilLandsatSettlementRemote sensing.Índice de vegetação por diferença normalizada (NDVI)Uso do soloLandsatAssentamentoSensoriamento remoto.Índice de Vegetación de Diferencia Normalizada (NDVI)Uso del sueloLandsatAsentamientoDetección Remota.This study focused on the application of remote sensing and geoprocessing techniques to quantify the agroecological use of Caracol settlement area in order to quantify the vegetated areas, as well as the use and occupation of the soil in the years 2000, 2010 and 2020, in the months of May of each year. To achieve the objectives, computational tools (Quantum GIS software) were used, as well as data from Landsat 5 and 8 satellites, bands 3 and 4, 4 and 5 respectively. Vector data from the database of the Brazilian Institute of Geography and Statistics (IBGE), a Digital Elevation Model (DEM), from the United States Geological Survey (USGS/NASA) for evaluation of the watersheds were also used. For vegetation analysis, as well as temporal evolution, the Normalized Difference Vegetation Index (NDVI) was used, with this it was possible to evaluate by means of thematic maps and tables containing the quantification and classification of vegetation and soil cover. It was evident in the present study that there were significant changes in the vegetation landscape over two decades, through anthropic activity by settled families, that were responsible for such changes in the use and soil cover of Caracol settlement.Este estudio se centró en la aplicación de técnicas de teledetección y geoprocesamiento para cuantificar el uso agroecológico del área de asentamiento de Caracol con el fin de cuantificar las áreas vegetadas, así como el uso y ocupación del suelo los días 25, 21 y 16 de mayo. 2000, 2010 y 2020 respectivamente. Para lograr los objetivos se utilizaron herramientas computacionales (software Quantun Gis), además de datos de los satélites Landsat 5 y 8, bandas 3 y 4, 4 y 5 respectivamente. También se utilizaron datos vectoriales de la base de datos del Instituto Brasileiro de Geografía e Estatística (IBGE), Modelo Digital de Elevación (MDE), del United States Geological Survey (USGS/NASA) para la evaluación de las cuencas hidrográficas. Para el análisis de la vegetación, así como la evolución temporal, se utilizó el Índice de Vegetación de Diferencia Normalizada (NDVI), con este se pudo evaluar mediante mapas temáticos y tablas que contienen la cuantificación y clasificación de la vegetación y cobertura del suelo. En el presente estudio se evidenció que hubo cambios significativos en el paisaje vegetal a lo largo de dos décadas, esto a través de la actividad antrópica de las familias asentadas, responsables de tales cambios en el uso y cobertura del suelo del Assentamento Caracol.Este estudo se deteve na aplicação de técnicas de sensoriamento remoto e geoprocessamento para a quantificação do uso agroecológico da área do assentamento Caracol com intuito de quantificar as áreas vegetadas, bem como o uso e ocupação do solo nos anos de 2000, 2010 e 2020, nos meses de maio de cada ano. Para o alcance dos objetivos, foram utilizadas ferramentas computacionais (software Quantun Gis), além de dados dos satélites Landsat 5 e 8, bandas 3 e 4, 4 e 5 respectivamente. Foram utilizados também dados vetoriais da base de dados do Instituto Brasileiro de Geografia e Estatística (IBGE), Modelo de Elevação Digital (MDE), do United States Geological Survey (USGS/NASA) para avaliação das bacias hidrográficas. Para análise da vegetação, bem como a evolução temporal, foi utilizado o Índice de Vegetação por Diferença Normalizada (NDVI), com isso foi possível avaliar por meio de mapas temáticos e tabelas contendo a quantificação e classificação da vegetação e cobertura do solo. Ficou evidente no presente estudo que houve mudanças significativas na paisagem da vegetação no decorrer de duas décadas, isso mediante a atividade antrópica por família assentadas, as quais foram responsáveis por tais modificações no uso e cobertura do solo do Assentamento Caracol.Research, Society and Development2020-12-25info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/1102910.33448/rsd-v9i12.11029Research, Society and Development; Vol. 9 No. 12; e30891211029Research, Society and Development; Vol. 9 Núm. 12; e30891211029Research, Society and Development; v. 9 n. 12; e308912110292525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIenghttps://rsdjournal.org/index.php/rsd/article/view/11029/9959Copyright (c) 2020 Odemir Coelho da Costa; José Francisco dos Reis Neto ; Ana Paula Garcia Oliveirahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessCosta, Odemir Coelho da Reis Neto , José Francisco dos Oliveira, Ana Paula Garcia 2020-12-30T23:32:22Zoai:ojs.pkp.sfu.ca:article/11029Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:32:57.966573Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false |
dc.title.none.fl_str_mv |
Soil use and occupation in Caracol Settlement: a multitemporal assessment using remote sensing and geoprocessing techniques Uso y ocupación del suelo en el Assentamento Caracol: una evaluación multitemporal utilizando técnicas de detección remota y geoprocesamiento Uso e ocupação do solo no Assentamento Caracol: uma avaliação multitemporal utilizando técnicas de sensoriamento remoto e geoprocessamento |
title |
Soil use and occupation in Caracol Settlement: a multitemporal assessment using remote sensing and geoprocessing techniques |
spellingShingle |
Soil use and occupation in Caracol Settlement: a multitemporal assessment using remote sensing and geoprocessing techniques Costa, Odemir Coelho da Normalized difference vegetation index (NDVI) Use of soil Landsat Settlement Remote sensing. Índice de vegetação por diferença normalizada (NDVI) Uso do solo Landsat Assentamento Sensoriamento remoto. Índice de Vegetación de Diferencia Normalizada (NDVI) Uso del suelo Landsat Asentamiento Detección Remota. |
title_short |
Soil use and occupation in Caracol Settlement: a multitemporal assessment using remote sensing and geoprocessing techniques |
title_full |
Soil use and occupation in Caracol Settlement: a multitemporal assessment using remote sensing and geoprocessing techniques |
title_fullStr |
Soil use and occupation in Caracol Settlement: a multitemporal assessment using remote sensing and geoprocessing techniques |
title_full_unstemmed |
Soil use and occupation in Caracol Settlement: a multitemporal assessment using remote sensing and geoprocessing techniques |
title_sort |
Soil use and occupation in Caracol Settlement: a multitemporal assessment using remote sensing and geoprocessing techniques |
author |
Costa, Odemir Coelho da |
author_facet |
Costa, Odemir Coelho da Reis Neto , José Francisco dos Oliveira, Ana Paula Garcia |
author_role |
author |
author2 |
Reis Neto , José Francisco dos Oliveira, Ana Paula Garcia |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Costa, Odemir Coelho da Reis Neto , José Francisco dos Oliveira, Ana Paula Garcia |
dc.subject.por.fl_str_mv |
Normalized difference vegetation index (NDVI) Use of soil Landsat Settlement Remote sensing. Índice de vegetação por diferença normalizada (NDVI) Uso do solo Landsat Assentamento Sensoriamento remoto. Índice de Vegetación de Diferencia Normalizada (NDVI) Uso del suelo Landsat Asentamiento Detección Remota. |
topic |
Normalized difference vegetation index (NDVI) Use of soil Landsat Settlement Remote sensing. Índice de vegetação por diferença normalizada (NDVI) Uso do solo Landsat Assentamento Sensoriamento remoto. Índice de Vegetación de Diferencia Normalizada (NDVI) Uso del suelo Landsat Asentamiento Detección Remota. |
description |
This study focused on the application of remote sensing and geoprocessing techniques to quantify the agroecological use of Caracol settlement area in order to quantify the vegetated areas, as well as the use and occupation of the soil in the years 2000, 2010 and 2020, in the months of May of each year. To achieve the objectives, computational tools (Quantum GIS software) were used, as well as data from Landsat 5 and 8 satellites, bands 3 and 4, 4 and 5 respectively. Vector data from the database of the Brazilian Institute of Geography and Statistics (IBGE), a Digital Elevation Model (DEM), from the United States Geological Survey (USGS/NASA) for evaluation of the watersheds were also used. For vegetation analysis, as well as temporal evolution, the Normalized Difference Vegetation Index (NDVI) was used, with this it was possible to evaluate by means of thematic maps and tables containing the quantification and classification of vegetation and soil cover. It was evident in the present study that there were significant changes in the vegetation landscape over two decades, through anthropic activity by settled families, that were responsible for such changes in the use and soil cover of Caracol settlement. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-12-25 |
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/11029 10.33448/rsd-v9i12.11029 |
url |
https://rsdjournal.org/index.php/rsd/article/view/11029 |
identifier_str_mv |
10.33448/rsd-v9i12.11029 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://rsdjournal.org/index.php/rsd/article/view/11029/9959 |
dc.rights.driver.fl_str_mv |
https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
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. 9 No. 12; e30891211029 Research, Society and Development; Vol. 9 Núm. 12; e30891211029 Research, Society and Development; v. 9 n. 12; e30891211029 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 |
_version_ |
1797052817160011776 |