Spatiotemporal characterization of vegetation typologies in degraded caatinga environment: quantification by biophysical variables

Detalhes bibliográficos
Autor(a) principal: da Silva, Glauciene Justino Ferreira
Data de Publicação: 2019
Outros Autores: de Macêdo, Mônica Larissa Aires, da Silva, Richarde Marques
Tipo de documento: Artigo
Idioma: por
Título da fonte: Ateliê Geográfico
Texto Completo: https://revistas.ufg.br/atelie/article/view/55951
Resumo: The climatic characteristics of the semiarid region strongly influence the dynamics of the vegetation cover and soil, as well as environmental variables such as albedo and vegetation indices, among others. Researches in the semiarid region of Paraiba state have been carried out applying methodologies to analyze these variables, mainly based on orbital data that have subsidized the monitoring of the different landscapes in the caatinga biome. Thus, this paper aimed to analyze the spatiotemporal distribution and the quantification of surface albedo and SAVI vegetation index in different caatinga vegetation typologies in the Experimental Basin of São João do Cariri, Paraíba state. TM/Landsat-5 sensor images were used. The results showed that the albedo estimate was influenced by the spatial distribution of the vegetation typologies, which evidenced the level of land degradation, while the values ??obtained with the SAVI estimate did not present the pattern generally defined for the reflectance of the vegetation in the rainy or dry seasons in the study area. Keywords: remote sensing, degradation, semiarid.
id UFG-5_7ccf206547d883370018ae402a577013
oai_identifier_str oai:ojs.revistas.ufg.br:article/55951
network_acronym_str UFG-5
network_name_str Ateliê Geográfico
repository_id_str
spelling Spatiotemporal characterization of vegetation typologies in degraded caatinga environment: quantification by biophysical variablesLa caractérisation de l'espace-temporaire de la typologie du materiel vegetal dans la caatinga degradée quantification: pour des variables biophysiquesCaracterização espaço-temporal das tipologias vegetais em ambiente de caatinga degradada: quantificação por meio de variáveis biofísicasThe climatic characteristics of the semiarid region strongly influence the dynamics of the vegetation cover and soil, as well as environmental variables such as albedo and vegetation indices, among others. Researches in the semiarid region of Paraiba state have been carried out applying methodologies to analyze these variables, mainly based on orbital data that have subsidized the monitoring of the different landscapes in the caatinga biome. Thus, this paper aimed to analyze the spatiotemporal distribution and the quantification of surface albedo and SAVI vegetation index in different caatinga vegetation typologies in the Experimental Basin of São João do Cariri, Paraíba state. TM/Landsat-5 sensor images were used. The results showed that the albedo estimate was influenced by the spatial distribution of the vegetation typologies, which evidenced the level of land degradation, while the values ??obtained with the SAVI estimate did not present the pattern generally defined for the reflectance of the vegetation in the rainy or dry seasons in the study area. Keywords: remote sensing, degradation, semiarid.Les caractéristiques climatiques de la région semi-aride influencent fortement la dynamique de la végétation et le sol, et les variables environnementales telles que l'albédo et les indices de végétation, entre autres. La recherche dans l´état de Paraiba, sur des terrains semi-arides ont été réalisées en appliquant des méthodes d'analyse de ces variables, en particulier à partir des données orbitales ont soutenu le suivi des différents paysages du biome de Caatinga. Ainsi, cet article vise à analyser la distribution spatiale et temporelle et la quantification de l'albédo de surface et l´indice de végétation SAVI dans les différents types de végétation de caatinga dans le Bacia Experimental de São João do Cariri-PB. Des images du TM/Landsat-5 capteurs ont été utilisés. Les résultats ont montré que l'albédo estimée a été influencée par la répartition spatiale des types de plantes, qui ont montré le niveau de dégradation des terres, tandis que les valeurs obtenues avec le SAVI estimé ne montrent le motif généralement défini pour la réflectance de la végétation dans les périodes pluvieuses ou séché dans la zone d'étude. Mots-clés: télédétection, dégradation, semi-arides.As características climáticas do Semiárido influenciam fortemente a dinâmica da cobertura vegetal e dos solos, além de variáveis ambientais como albedo e índices de vegetação, entre outras. Pesquisas no Semiárido paraibano têm sido realizadas aplicando metodologias para análise dessas variáveis, sobretudo com base em dados orbitais que têm subsidiado o monitoramento das diferentes paisagens no bioma Caatinga. Assim, esse artigo teve como objetivo analisar a distribuição espaço-temporal e a quantificação do albedo da superfície e do índice de vegetação SAVI, em diferentes tipologias vegetais de caatinga na Bacia Experimental de São João do Cariri-PB. Foram utilizadas imagens do sensor TM/Landsat-5. Os resultados mostraram que a estimativa do albedo foi influenciada pela distribuição espacial das tipologias vegetais, o que evidenciou o nível de degradação das terras, enquanto os valores obtidos com a estimativa do SAVI não apresentaram o padrão geralmente definido para a reflectância da vegetação nos períodos chuvosos ou secos na área de estudo. Palavras-chave: sensoriamento remoto, degradação, Semiárido.  Universidade Federal de Goiás2019-08-20info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistas.ufg.br/atelie/article/view/5595110.5216/ag.v13i2.55951Ateliê Geográfico Journal; Vol. 13 No. 2 (2019); 92-110Ateliê Geográfico; Vol. 13 Núm. 2 (2019); 92-110Ateliê Geográfico; v. 13 n. 2 (2019); 92-1101982-1956reponame:Ateliê Geográficoinstname:Universidade Federal de Goiás (UFG)instacron:UFGporhttps://revistas.ufg.br/atelie/article/view/55951/33631Copyright (c) 2019 Ateliê Geográficoinfo:eu-repo/semantics/openAccessda Silva, Glauciene Justino Ferreirade Macêdo, Mônica Larissa Airesda Silva, Richarde Marques2020-08-17T19:54:42Zoai:ojs.revistas.ufg.br:article/55951Revistahttps://www.revistas.ufg.br/ateliePUBhttps://www.revistas.ufg.br/atelie/oairevista.ateliegeografico@gmail.com || deniscastilho@hotmail.com || laracristineufg@yahoo.com.br1982-19561982-1956opendoar:2024-05-21T19:55:32.716372Ateliê Geográfico - Universidade Federal de Goiás (UFG)true
dc.title.none.fl_str_mv Spatiotemporal characterization of vegetation typologies in degraded caatinga environment: quantification by biophysical variables
La caractérisation de l'espace-temporaire de la typologie du materiel vegetal dans la caatinga degradée quantification: pour des variables biophysiques
Caracterização espaço-temporal das tipologias vegetais em ambiente de caatinga degradada: quantificação por meio de variáveis biofísicas
title Spatiotemporal characterization of vegetation typologies in degraded caatinga environment: quantification by biophysical variables
spellingShingle Spatiotemporal characterization of vegetation typologies in degraded caatinga environment: quantification by biophysical variables
da Silva, Glauciene Justino Ferreira
title_short Spatiotemporal characterization of vegetation typologies in degraded caatinga environment: quantification by biophysical variables
title_full Spatiotemporal characterization of vegetation typologies in degraded caatinga environment: quantification by biophysical variables
title_fullStr Spatiotemporal characterization of vegetation typologies in degraded caatinga environment: quantification by biophysical variables
title_full_unstemmed Spatiotemporal characterization of vegetation typologies in degraded caatinga environment: quantification by biophysical variables
title_sort Spatiotemporal characterization of vegetation typologies in degraded caatinga environment: quantification by biophysical variables
author da Silva, Glauciene Justino Ferreira
author_facet da Silva, Glauciene Justino Ferreira
de Macêdo, Mônica Larissa Aires
da Silva, Richarde Marques
author_role author
author2 de Macêdo, Mônica Larissa Aires
da Silva, Richarde Marques
author2_role author
author
dc.contributor.author.fl_str_mv da Silva, Glauciene Justino Ferreira
de Macêdo, Mônica Larissa Aires
da Silva, Richarde Marques
description The climatic characteristics of the semiarid region strongly influence the dynamics of the vegetation cover and soil, as well as environmental variables such as albedo and vegetation indices, among others. Researches in the semiarid region of Paraiba state have been carried out applying methodologies to analyze these variables, mainly based on orbital data that have subsidized the monitoring of the different landscapes in the caatinga biome. Thus, this paper aimed to analyze the spatiotemporal distribution and the quantification of surface albedo and SAVI vegetation index in different caatinga vegetation typologies in the Experimental Basin of São João do Cariri, Paraíba state. TM/Landsat-5 sensor images were used. The results showed that the albedo estimate was influenced by the spatial distribution of the vegetation typologies, which evidenced the level of land degradation, while the values ??obtained with the SAVI estimate did not present the pattern generally defined for the reflectance of the vegetation in the rainy or dry seasons in the study area. Keywords: remote sensing, degradation, semiarid.
publishDate 2019
dc.date.none.fl_str_mv 2019-08-20
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.ufg.br/atelie/article/view/55951
10.5216/ag.v13i2.55951
url https://revistas.ufg.br/atelie/article/view/55951
identifier_str_mv 10.5216/ag.v13i2.55951
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://revistas.ufg.br/atelie/article/view/55951/33631
dc.rights.driver.fl_str_mv Copyright (c) 2019 Ateliê Geográfico
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2019 Ateliê Geográfico
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Goiás
publisher.none.fl_str_mv Universidade Federal de Goiás
dc.source.none.fl_str_mv Ateliê Geográfico Journal; Vol. 13 No. 2 (2019); 92-110
Ateliê Geográfico; Vol. 13 Núm. 2 (2019); 92-110
Ateliê Geográfico; v. 13 n. 2 (2019); 92-110
1982-1956
reponame:Ateliê Geográfico
instname:Universidade Federal de Goiás (UFG)
instacron:UFG
instname_str Universidade Federal de Goiás (UFG)
instacron_str UFG
institution UFG
reponame_str Ateliê Geográfico
collection Ateliê Geográfico
repository.name.fl_str_mv Ateliê Geográfico - Universidade Federal de Goiás (UFG)
repository.mail.fl_str_mv revista.ateliegeografico@gmail.com || deniscastilho@hotmail.com || laracristineufg@yahoo.com.br
_version_ 1799874837181628416

Registros relacionados