Analysis of areas undergoing desertification, using EVI2 multi-temporal data based on MODIS imagery as indicator

Detalhes bibliográficos
Autor(a) principal: Bezerra, Francisco Gilney Silva
Data de Publicação: 2020
Outros Autores: Aguiar, Ana Paula Dutra de, Alvalá, Regina Célia dos Santos, Giarolla, Angélica, Bezerra, Karine Rocha Aguiar, Lima, Patrícia Verônica Pinheiro Sales, Nascimento, Flávio Rodrigues do, Arai, Egidio
Tipo de documento: Artigo
Idioma: por
Título da fonte: Repositório Institucional da Universidade Federal do Ceará (UFC)
Texto Completo: http://www.repositorio.ufc.br/handle/riufc/61894
Resumo: Desertification is a global problem that impacts a significative part of the Earth's surface, which cause a large environmental and social losses in several regions of the world. The Brazilian semiarid region, located mainly in the northeast part of the country, includes areas of moderate to very high susceptibility to desertification. In order to contribute to a comprehension of the dimensions of desertification in the Brazilian semiarid region, this paper aimed to develop a potential indicator for the evaluation and monitoring of this area, considering an appropriate temporal and spatial scales. For this objective, satellite data were used for the identification and monitoring of sub-areas potentially undergoing degradation/desertification. Thus multitemporal series of Enhanced Vegetation Index 2 (EVI2) covering the period between 2000 and 2016 was used, which were calculated from data provided by the MODIS sensor carried aboard the Terra satellite. Besides, previous samples were selected for the calibration and validation of the methodology. The results show an increase of areas potentially undergoing degradation/desertification, covering an area equal to 167,814.24 km2 at the end of the period analyzed (around 16.7% of the study area). Approximately 23.63% of the total degraded area comprises both the Very High Degradation Trajectory and High Degradation Trajectory. The proposed methodology contributed to the determination of the degree of the degradation through the determination of Degradation Trajectories, which differentiates it from the ones proposed in other studies; however, it is emphasized that this approach must be analyzed in association with additional information, such as trends and climatic scenarios of land use and land cover, as well as retrospective analyses of the landscape, soil erosion, field recognition, socioeconomic conditions, among others.
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spelling Analysis of areas undergoing desertification, using EVI2 multi-temporal data based on MODIS imagery as indicatorDesertificaçãoSolos - DegradaçãoRegiões áridasSemiaridTrajectoryVegetation indexDesertificationLand degradationDesertification is a global problem that impacts a significative part of the Earth's surface, which cause a large environmental and social losses in several regions of the world. The Brazilian semiarid region, located mainly in the northeast part of the country, includes areas of moderate to very high susceptibility to desertification. In order to contribute to a comprehension of the dimensions of desertification in the Brazilian semiarid region, this paper aimed to develop a potential indicator for the evaluation and monitoring of this area, considering an appropriate temporal and spatial scales. For this objective, satellite data were used for the identification and monitoring of sub-areas potentially undergoing degradation/desertification. Thus multitemporal series of Enhanced Vegetation Index 2 (EVI2) covering the period between 2000 and 2016 was used, which were calculated from data provided by the MODIS sensor carried aboard the Terra satellite. Besides, previous samples were selected for the calibration and validation of the methodology. The results show an increase of areas potentially undergoing degradation/desertification, covering an area equal to 167,814.24 km2 at the end of the period analyzed (around 16.7% of the study area). Approximately 23.63% of the total degraded area comprises both the Very High Degradation Trajectory and High Degradation Trajectory. The proposed methodology contributed to the determination of the degree of the degradation through the determination of Degradation Trajectories, which differentiates it from the ones proposed in other studies; however, it is emphasized that this approach must be analyzed in association with additional information, such as trends and climatic scenarios of land use and land cover, as well as retrospective analyses of the landscape, soil erosion, field recognition, socioeconomic conditions, among others.Ecological Indicators2021-11-09T13:36:15Z2021-11-09T13:36:15Z2020info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfBEZERRA, Francisco Gilney Silva; AGUIAR, Ana Paula Dutra de; ALVALÁ, Regina Célia dos Santos; GIAROLLA, Angélica; BEZERRA, Karine Rocha Aguiar; LIMA, Patrícia Verônica Pinheiro Sales; NASCIMENTO, Flávio Rodrigues do; ARAI, Egidio. Analysis of areas undergoing desertification, using EVI2 multi-temporal data based on MODIS imagery as indicator. Ecological Indicators, Coimbra, v. 117, 2020.1470-160Xhttp://www.repositorio.ufc.br/handle/riufc/61894Bezerra, Francisco Gilney SilvaAguiar, Ana Paula Dutra deAlvalá, Regina Célia dos SantosGiarolla, AngélicaBezerra, Karine Rocha AguiarLima, Patrícia Verônica Pinheiro SalesNascimento, Flávio Rodrigues doArai, Egidioinfo:eu-repo/semantics/openAccessporreponame:Repositório Institucional da Universidade Federal do Ceará (UFC)instname:Universidade Federal do Ceará (UFC)instacron:UFC2023-09-18T18:48:39Zoai:repositorio.ufc.br:riufc/61894Repositório InstitucionalPUBhttp://www.repositorio.ufc.br/ri-oai/requestbu@ufc.br || repositorio@ufc.bropendoar:2024-09-11T18:16:56.556279Repositório Institucional da Universidade Federal do Ceará (UFC) - Universidade Federal do Ceará (UFC)false
dc.title.none.fl_str_mv Analysis of areas undergoing desertification, using EVI2 multi-temporal data based on MODIS imagery as indicator
title Analysis of areas undergoing desertification, using EVI2 multi-temporal data based on MODIS imagery as indicator
spellingShingle Analysis of areas undergoing desertification, using EVI2 multi-temporal data based on MODIS imagery as indicator
Bezerra, Francisco Gilney Silva
Desertificação
Solos - Degradação
Regiões áridas
Semiarid
Trajectory
Vegetation index
Desertification
Land degradation
title_short Analysis of areas undergoing desertification, using EVI2 multi-temporal data based on MODIS imagery as indicator
title_full Analysis of areas undergoing desertification, using EVI2 multi-temporal data based on MODIS imagery as indicator
title_fullStr Analysis of areas undergoing desertification, using EVI2 multi-temporal data based on MODIS imagery as indicator
title_full_unstemmed Analysis of areas undergoing desertification, using EVI2 multi-temporal data based on MODIS imagery as indicator
title_sort Analysis of areas undergoing desertification, using EVI2 multi-temporal data based on MODIS imagery as indicator
author Bezerra, Francisco Gilney Silva
author_facet Bezerra, Francisco Gilney Silva
Aguiar, Ana Paula Dutra de
Alvalá, Regina Célia dos Santos
Giarolla, Angélica
Bezerra, Karine Rocha Aguiar
Lima, Patrícia Verônica Pinheiro Sales
Nascimento, Flávio Rodrigues do
Arai, Egidio
author_role author
author2 Aguiar, Ana Paula Dutra de
Alvalá, Regina Célia dos Santos
Giarolla, Angélica
Bezerra, Karine Rocha Aguiar
Lima, Patrícia Verônica Pinheiro Sales
Nascimento, Flávio Rodrigues do
Arai, Egidio
author2_role author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Bezerra, Francisco Gilney Silva
Aguiar, Ana Paula Dutra de
Alvalá, Regina Célia dos Santos
Giarolla, Angélica
Bezerra, Karine Rocha Aguiar
Lima, Patrícia Verônica Pinheiro Sales
Nascimento, Flávio Rodrigues do
Arai, Egidio
dc.subject.por.fl_str_mv Desertificação
Solos - Degradação
Regiões áridas
Semiarid
Trajectory
Vegetation index
Desertification
Land degradation
topic Desertificação
Solos - Degradação
Regiões áridas
Semiarid
Trajectory
Vegetation index
Desertification
Land degradation
description Desertification is a global problem that impacts a significative part of the Earth's surface, which cause a large environmental and social losses in several regions of the world. The Brazilian semiarid region, located mainly in the northeast part of the country, includes areas of moderate to very high susceptibility to desertification. In order to contribute to a comprehension of the dimensions of desertification in the Brazilian semiarid region, this paper aimed to develop a potential indicator for the evaluation and monitoring of this area, considering an appropriate temporal and spatial scales. For this objective, satellite data were used for the identification and monitoring of sub-areas potentially undergoing degradation/desertification. Thus multitemporal series of Enhanced Vegetation Index 2 (EVI2) covering the period between 2000 and 2016 was used, which were calculated from data provided by the MODIS sensor carried aboard the Terra satellite. Besides, previous samples were selected for the calibration and validation of the methodology. The results show an increase of areas potentially undergoing degradation/desertification, covering an area equal to 167,814.24 km2 at the end of the period analyzed (around 16.7% of the study area). Approximately 23.63% of the total degraded area comprises both the Very High Degradation Trajectory and High Degradation Trajectory. The proposed methodology contributed to the determination of the degree of the degradation through the determination of Degradation Trajectories, which differentiates it from the ones proposed in other studies; however, it is emphasized that this approach must be analyzed in association with additional information, such as trends and climatic scenarios of land use and land cover, as well as retrospective analyses of the landscape, soil erosion, field recognition, socioeconomic conditions, among others.
publishDate 2020
dc.date.none.fl_str_mv 2020
2021-11-09T13:36:15Z
2021-11-09T13:36:15Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv BEZERRA, Francisco Gilney Silva; AGUIAR, Ana Paula Dutra de; ALVALÁ, Regina Célia dos Santos; GIAROLLA, Angélica; BEZERRA, Karine Rocha Aguiar; LIMA, Patrícia Verônica Pinheiro Sales; NASCIMENTO, Flávio Rodrigues do; ARAI, Egidio. Analysis of areas undergoing desertification, using EVI2 multi-temporal data based on MODIS imagery as indicator. Ecological Indicators, Coimbra, v. 117, 2020.
1470-160X
http://www.repositorio.ufc.br/handle/riufc/61894
identifier_str_mv BEZERRA, Francisco Gilney Silva; AGUIAR, Ana Paula Dutra de; ALVALÁ, Regina Célia dos Santos; GIAROLLA, Angélica; BEZERRA, Karine Rocha Aguiar; LIMA, Patrícia Verônica Pinheiro Sales; NASCIMENTO, Flávio Rodrigues do; ARAI, Egidio. Analysis of areas undergoing desertification, using EVI2 multi-temporal data based on MODIS imagery as indicator. Ecological Indicators, Coimbra, v. 117, 2020.
1470-160X
url http://www.repositorio.ufc.br/handle/riufc/61894
dc.language.iso.fl_str_mv por
language por
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Ecological Indicators
publisher.none.fl_str_mv Ecological Indicators
dc.source.none.fl_str_mv reponame:Repositório Institucional da Universidade Federal do Ceará (UFC)
instname:Universidade Federal do Ceará (UFC)
instacron:UFC
instname_str Universidade Federal do Ceará (UFC)
instacron_str UFC
institution UFC
reponame_str Repositório Institucional da Universidade Federal do Ceará (UFC)
collection Repositório Institucional da Universidade Federal do Ceará (UFC)
repository.name.fl_str_mv Repositório Institucional da Universidade Federal do Ceará (UFC) - Universidade Federal do Ceará (UFC)
repository.mail.fl_str_mv bu@ufc.br || repositorio@ufc.br
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