Use of Vegetation Cover Index (ICV) to identify susceptible areas to desertification process in the municipalities of Betânia, Floresta and Itacuruba, Pernambuco, Brazil.

Detalhes bibliográficos
Autor(a) principal: ALVES, R. B. de O.
Data de Publicação: 2019
Outros Autores: SILVA, H. P. da, ARAUJO FILHO, J. C. de, DOMINGUES, M. A. de O., ALBUQUERQUE, J. O. de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
Texto Completo: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1118938
https://doi.org/10.29150/jhrs.v9.6.p343-352
Resumo: Climate change in Brazil has led to an increase in temperature and changes in the distribution of climatic extremes, such as droughts, droughts, floods and floods. This is potentialized when it comes to the semi-arid Northeast. Environmental studies related to this theme are in constant development. For this, the geotechnologies are of great importance for the environmental studies, since they allow the acquisition and analysis of information of use of the ground, vegetal cover and phenomena of the nature. In the present work, the Vegetation Cover Index was studied using remote sensing and geoprocessing techniques through the digital processing of images acquired in the years 2000 to 2015 of the LANDSAT satellites of three municipalities of Pernambuco to observe the vegetation cover in the said temporal space with the degraded areas possibly resulting from the desertification process in the region. Thus, it was found that the municipalities of Betânia and Itacuruba have very high vulnerability (0.75 and 1, respectively). On the other hand, the municipality of Floresta presented a high vulnerability of ICV (0.5), as the vegetation deficit influences hydrological dynamics, soil protection, climatic stability and thermal influence, corroborating the desertification process.
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spelling Use of Vegetation Cover Index (ICV) to identify susceptible areas to desertification process in the municipalities of Betânia, Floresta and Itacuruba, Pernambuco, Brazil.Mudança ClimáticaDesertificaçãoMeio AmbienteClimate changeDesertificationEnvironmentClimate change in Brazil has led to an increase in temperature and changes in the distribution of climatic extremes, such as droughts, droughts, floods and floods. This is potentialized when it comes to the semi-arid Northeast. Environmental studies related to this theme are in constant development. For this, the geotechnologies are of great importance for the environmental studies, since they allow the acquisition and analysis of information of use of the ground, vegetal cover and phenomena of the nature. In the present work, the Vegetation Cover Index was studied using remote sensing and geoprocessing techniques through the digital processing of images acquired in the years 2000 to 2015 of the LANDSAT satellites of three municipalities of Pernambuco to observe the vegetation cover in the said temporal space with the degraded areas possibly resulting from the desertification process in the region. Thus, it was found that the municipalities of Betânia and Itacuruba have very high vulnerability (0.75 and 1, respectively). On the other hand, the municipality of Floresta presented a high vulnerability of ICV (0.5), as the vegetation deficit influences hydrological dynamics, soil protection, climatic stability and thermal influence, corroborating the desertification process.RAYANNA B. DE O. ALVES, UFRPE; HERNANDE P. DA SILVA, UFRPE; JOSE COELHO DE ARAUJO FILHO, CNPS; MARCO A. DE O. DOMINGUES, IFPE; JONES O. DE ALBUQUERQUE, UFRPE.ALVES, R. B. de O.SILVA, H. P. daARAUJO FILHO, J. C. deDOMINGUES, M. A. de O.ALBUQUERQUE, J. O. de2020-01-17T18:07:57Z2020-01-17T18:07:57Z2020-01-1720192020-04-22T11:11:11Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleJournal of Hyperspectral Remote Sensing, v. 9, n. 6, p. 343-352, 2019.http://www.alice.cnptia.embrapa.br/alice/handle/doc/1118938https://doi.org/10.29150/jhrs.v9.6.p343-352enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2020-01-17T18:08:03Zoai:www.alice.cnptia.embrapa.br:doc/1118938Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542020-01-17T18:08:03falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542020-01-17T18:08:03Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Use of Vegetation Cover Index (ICV) to identify susceptible areas to desertification process in the municipalities of Betânia, Floresta and Itacuruba, Pernambuco, Brazil.
title Use of Vegetation Cover Index (ICV) to identify susceptible areas to desertification process in the municipalities of Betânia, Floresta and Itacuruba, Pernambuco, Brazil.
spellingShingle Use of Vegetation Cover Index (ICV) to identify susceptible areas to desertification process in the municipalities of Betânia, Floresta and Itacuruba, Pernambuco, Brazil.
ALVES, R. B. de O.
Mudança Climática
Desertificação
Meio Ambiente
Climate change
Desertification
Environment
title_short Use of Vegetation Cover Index (ICV) to identify susceptible areas to desertification process in the municipalities of Betânia, Floresta and Itacuruba, Pernambuco, Brazil.
title_full Use of Vegetation Cover Index (ICV) to identify susceptible areas to desertification process in the municipalities of Betânia, Floresta and Itacuruba, Pernambuco, Brazil.
title_fullStr Use of Vegetation Cover Index (ICV) to identify susceptible areas to desertification process in the municipalities of Betânia, Floresta and Itacuruba, Pernambuco, Brazil.
title_full_unstemmed Use of Vegetation Cover Index (ICV) to identify susceptible areas to desertification process in the municipalities of Betânia, Floresta and Itacuruba, Pernambuco, Brazil.
title_sort Use of Vegetation Cover Index (ICV) to identify susceptible areas to desertification process in the municipalities of Betânia, Floresta and Itacuruba, Pernambuco, Brazil.
author ALVES, R. B. de O.
author_facet ALVES, R. B. de O.
SILVA, H. P. da
ARAUJO FILHO, J. C. de
DOMINGUES, M. A. de O.
ALBUQUERQUE, J. O. de
author_role author
author2 SILVA, H. P. da
ARAUJO FILHO, J. C. de
DOMINGUES, M. A. de O.
ALBUQUERQUE, J. O. de
author2_role author
author
author
author
dc.contributor.none.fl_str_mv RAYANNA B. DE O. ALVES, UFRPE; HERNANDE P. DA SILVA, UFRPE; JOSE COELHO DE ARAUJO FILHO, CNPS; MARCO A. DE O. DOMINGUES, IFPE; JONES O. DE ALBUQUERQUE, UFRPE.
dc.contributor.author.fl_str_mv ALVES, R. B. de O.
SILVA, H. P. da
ARAUJO FILHO, J. C. de
DOMINGUES, M. A. de O.
ALBUQUERQUE, J. O. de
dc.subject.por.fl_str_mv Mudança Climática
Desertificação
Meio Ambiente
Climate change
Desertification
Environment
topic Mudança Climática
Desertificação
Meio Ambiente
Climate change
Desertification
Environment
description Climate change in Brazil has led to an increase in temperature and changes in the distribution of climatic extremes, such as droughts, droughts, floods and floods. This is potentialized when it comes to the semi-arid Northeast. Environmental studies related to this theme are in constant development. For this, the geotechnologies are of great importance for the environmental studies, since they allow the acquisition and analysis of information of use of the ground, vegetal cover and phenomena of the nature. In the present work, the Vegetation Cover Index was studied using remote sensing and geoprocessing techniques through the digital processing of images acquired in the years 2000 to 2015 of the LANDSAT satellites of three municipalities of Pernambuco to observe the vegetation cover in the said temporal space with the degraded areas possibly resulting from the desertification process in the region. Thus, it was found that the municipalities of Betânia and Itacuruba have very high vulnerability (0.75 and 1, respectively). On the other hand, the municipality of Floresta presented a high vulnerability of ICV (0.5), as the vegetation deficit influences hydrological dynamics, soil protection, climatic stability and thermal influence, corroborating the desertification process.
publishDate 2019
dc.date.none.fl_str_mv 2019
2020-01-17T18:07:57Z
2020-01-17T18:07:57Z
2020-01-17
2020-04-22T11:11:11Z
dc.type.driver.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv Journal of Hyperspectral Remote Sensing, v. 9, n. 6, p. 343-352, 2019.
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1118938
https://doi.org/10.29150/jhrs.v9.6.p343-352
identifier_str_mv Journal of Hyperspectral Remote Sensing, v. 9, n. 6, p. 343-352, 2019.
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/1118938
https://doi.org/10.29150/jhrs.v9.6.p343-352
dc.language.iso.fl_str_mv eng
language eng
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