Analysis of the soil cover of the Enganado river microbasin, Western Amazon, Brazil
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Research, Society and Development |
Texto Completo: | https://rsdjournal.org/index.php/rsd/article/view/35841 |
Resumo: | The process of occupation of agricultural areas in the state of Rondônia occurred in a disorderly way, increasing the fragility of ecosystems, due to partial and/or total suppression of native vegetation. The objective of this work was to analyze the soil cover of the Enganado river microbasin, between the years 1984 to 2021. The Enganado river watershed covers about 218 rural enterprises. For the analysis, the QGIS 2.18.0 software, images from the Landsat 5 (1984, 1988 and 2008) and Landsat 8 (2021) satellites were used. Next, three classes were stratified (native forest, agriculture and water resource - water) with the “slicer” tool, and conversion of the generated image in matrix to vector format, with the polygonize tool. The classification of the images was done with the “Graduated Style” tool, and later manual adjustments were carried out in the classes. To delimit the riparian zone, the “buffer” tool was used under variable distance, considering the fiscal modules, as established in the relevant legislation. There was a percentage reduction of the native forest class from 63.73% to 31.77% of the total area, and an amplification of the agricultural class from 33.26% to 68.05%, in the period from 1984 to 2021, the water class , in turn, was distinguished only in the years 2008 and 2021 with 0.14% and 0.16%, respectively. Approximately 584 ha of environmental liabilities were measured. There is a need to recover permanent preservation areas for environmental regularization. |
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Analysis of the soil cover of the Enganado river microbasin, Western Amazon, BrazilAnálisis de la cobertura del suelo de la cuenca del Río Engado, Amazonía Occidental, BrasilAnálise da cobertura do solo da microbacia do rio Enganado, Amazônia Ocidental, BrasilRecuperação de áreas degradadasVegetação ripáriaSensoriamento remoto.Recuperación de áreas degradadasVegetación de riberaDetección remota.Recovery of degraded areasRiparian vegetationRemote sensing.The process of occupation of agricultural areas in the state of Rondônia occurred in a disorderly way, increasing the fragility of ecosystems, due to partial and/or total suppression of native vegetation. The objective of this work was to analyze the soil cover of the Enganado river microbasin, between the years 1984 to 2021. The Enganado river watershed covers about 218 rural enterprises. For the analysis, the QGIS 2.18.0 software, images from the Landsat 5 (1984, 1988 and 2008) and Landsat 8 (2021) satellites were used. Next, three classes were stratified (native forest, agriculture and water resource - water) with the “slicer” tool, and conversion of the generated image in matrix to vector format, with the polygonize tool. The classification of the images was done with the “Graduated Style” tool, and later manual adjustments were carried out in the classes. To delimit the riparian zone, the “buffer” tool was used under variable distance, considering the fiscal modules, as established in the relevant legislation. There was a percentage reduction of the native forest class from 63.73% to 31.77% of the total area, and an amplification of the agricultural class from 33.26% to 68.05%, in the period from 1984 to 2021, the water class , in turn, was distinguished only in the years 2008 and 2021 with 0.14% and 0.16%, respectively. Approximately 584 ha of environmental liabilities were measured. There is a need to recover permanent preservation areas for environmental regularization.El proceso de ocupación de áreas agrícolas en el estado de Rondônia ocurrió de forma desordenada, aumentando la fragilidad de los ecosistemas, debido a la supresión parcial y/o total de la vegetación nativa. El objetivo de este trabajo fue analizar la cobertura del suelo de la cuenca del río Enganado, entre los años 1984 al 2021. La cuenca del río Enganado cubre alrededor de 218 emprendimientos rurales. Para el análisis se utilizó el software QGIS 2.18.0, imágenes de los satélites Landsat 5 (1984, 1988 y 2008) y Landsat 8 (2021). A continuación, se estratificaron tres clases (bosque nativo, agricultura y recurso hídrico - agua) con la herramienta “slicer”, y conversión de la imagen generada en formato matricial a vectorial, con la herramienta poligonizar. La clasificación de las imágenes se realizó con la herramienta “Estilo Graduado”, y posteriormente se realizaron ajustes manuales en las clases. Para delimitar la zona ribereña se utilizó la herramienta de “amortiguación” bajo distancia variable, considerando los módulos fiscales, según lo establecido en la legislación respectiva. Hubo una reducción porcentual de la clase bosque nativo de 63.73% a 31.77% del área total, y una ampliación de la clase agrícola de 33.26% a 68.05%, en el período de 1984 a 2021, la clase agua, a su vez, se distinguió únicamente en los años 2008 y 2021 con 0,14% y 0,16%, respectivamente. Se midieron aproximadamente 584 ha de pasivos ambientales. Existe la necesidad de recuperar áreas de preservación permanente para la regularización ambiental.O processo de ocupação das áreas agrícolas no estado de Rondônia ocorreu de forma desordenada, potencializando a fragilidade dos ecossistemas, em virtude da supressão parcial e/ou total da vegetação nativa. O objetivo deste trabalho foi analisar a dinâmica da cobertura do solo da microbacia do rio Enganado, entre os anos de 1984 a 2021. A microbacia do rio Enganado abrange cerca de 218 empreendimentos rurais. Para a análise foi utilizado o software QGIS 2.18.0, imagens dos satélites Landsat 5 (1984, 1988 e 2008) e Landsat 8 (2021). Por seguinte, foram estratificadas três classes de cobertura (floresta nativa, agropecuária e recurso hídrico - água) com a ferramenta “slicer”, e a conversão da imagem gerada em formato matricial para vetorial, com a ferramenta poligonizar. A classificação das imagens foi feita com a ferramenta “Estilo graduado”, e posteriormente foi realizada a efetivação de ajustes manuais nas classes. Para delimitar a zona ripária, foi utilizada a ferramenta “buffer” sob distância variável, considerando os módulos fiscais, conforme estabelecido na legislação pertinente. Observou-se a redução percentual da classe floresta nativa de 63,73% para 31,77% da área total, e amplificação da classe agropecuária de 33,26% para 68,05%, no período de 1984 a 2021, a classe água, por sua vez, foi distinguida apenas nos anos de 2008 e 2021 com 0,14% e 0,16%, respectivamente. Aferiu-se cerca de 584 ha de passivo ambiental. Observa-se a necessidade da recuperação das áreas de preservação permanente, para regularização ambiental.Research, Society and Development2022-10-26info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/3584110.33448/rsd-v11i14.35841Research, Society and Development; Vol. 11 No. 14; e258111435841Research, Society and Development; Vol. 11 Núm. 14; e258111435841Research, Society and Development; v. 11 n. 14; e2581114358412525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/35841/30316Copyright (c) 2022 Gabriel Fernando Mello da Silva; Jhony Vendruscolo; Calina Grazielli Dias Barros; Dany Roberta Marques Caldeirahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessSilva, Gabriel Fernando Mello daVendruscolo, Jhony Barros, Calina Grazielli DiasCaldeira, Dany Roberta Marques2022-11-08T13:36:27Zoai:ojs.pkp.sfu.ca:article/35841Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:50:36.271585Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false |
dc.title.none.fl_str_mv |
Analysis of the soil cover of the Enganado river microbasin, Western Amazon, Brazil Análisis de la cobertura del suelo de la cuenca del Río Engado, Amazonía Occidental, Brasil Análise da cobertura do solo da microbacia do rio Enganado, Amazônia Ocidental, Brasil |
title |
Analysis of the soil cover of the Enganado river microbasin, Western Amazon, Brazil |
spellingShingle |
Analysis of the soil cover of the Enganado river microbasin, Western Amazon, Brazil Silva, Gabriel Fernando Mello da Recuperação de áreas degradadas Vegetação ripária Sensoriamento remoto. Recuperación de áreas degradadas Vegetación de ribera Detección remota. Recovery of degraded areas Riparian vegetation Remote sensing. |
title_short |
Analysis of the soil cover of the Enganado river microbasin, Western Amazon, Brazil |
title_full |
Analysis of the soil cover of the Enganado river microbasin, Western Amazon, Brazil |
title_fullStr |
Analysis of the soil cover of the Enganado river microbasin, Western Amazon, Brazil |
title_full_unstemmed |
Analysis of the soil cover of the Enganado river microbasin, Western Amazon, Brazil |
title_sort |
Analysis of the soil cover of the Enganado river microbasin, Western Amazon, Brazil |
author |
Silva, Gabriel Fernando Mello da |
author_facet |
Silva, Gabriel Fernando Mello da Vendruscolo, Jhony Barros, Calina Grazielli Dias Caldeira, Dany Roberta Marques |
author_role |
author |
author2 |
Vendruscolo, Jhony Barros, Calina Grazielli Dias Caldeira, Dany Roberta Marques |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Silva, Gabriel Fernando Mello da Vendruscolo, Jhony Barros, Calina Grazielli Dias Caldeira, Dany Roberta Marques |
dc.subject.por.fl_str_mv |
Recuperação de áreas degradadas Vegetação ripária Sensoriamento remoto. Recuperación de áreas degradadas Vegetación de ribera Detección remota. Recovery of degraded areas Riparian vegetation Remote sensing. |
topic |
Recuperação de áreas degradadas Vegetação ripária Sensoriamento remoto. Recuperación de áreas degradadas Vegetación de ribera Detección remota. Recovery of degraded areas Riparian vegetation Remote sensing. |
description |
The process of occupation of agricultural areas in the state of Rondônia occurred in a disorderly way, increasing the fragility of ecosystems, due to partial and/or total suppression of native vegetation. The objective of this work was to analyze the soil cover of the Enganado river microbasin, between the years 1984 to 2021. The Enganado river watershed covers about 218 rural enterprises. For the analysis, the QGIS 2.18.0 software, images from the Landsat 5 (1984, 1988 and 2008) and Landsat 8 (2021) satellites were used. Next, three classes were stratified (native forest, agriculture and water resource - water) with the “slicer” tool, and conversion of the generated image in matrix to vector format, with the polygonize tool. The classification of the images was done with the “Graduated Style” tool, and later manual adjustments were carried out in the classes. To delimit the riparian zone, the “buffer” tool was used under variable distance, considering the fiscal modules, as established in the relevant legislation. There was a percentage reduction of the native forest class from 63.73% to 31.77% of the total area, and an amplification of the agricultural class from 33.26% to 68.05%, in the period from 1984 to 2021, the water class , in turn, was distinguished only in the years 2008 and 2021 with 0.14% and 0.16%, respectively. Approximately 584 ha of environmental liabilities were measured. There is a need to recover permanent preservation areas for environmental regularization. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-10-26 |
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/35841 10.33448/rsd-v11i14.35841 |
url |
https://rsdjournal.org/index.php/rsd/article/view/35841 |
identifier_str_mv |
10.33448/rsd-v11i14.35841 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://rsdjournal.org/index.php/rsd/article/view/35841/30316 |
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. 11 No. 14; e258111435841 Research, Society and Development; Vol. 11 Núm. 14; e258111435841 Research, Society and Development; v. 11 n. 14; e258111435841 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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1797052813990166528 |