Analysis of areas undergoing desertification, using EVI2 multi-temporal data based on MODIS imagery as indicator
Autor(a) principal: | |
---|---|
Data de Publicação: | 2020 |
Outros Autores: | , , , , , , |
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. |
id |
UFC-7_4c6023b5d5838137c3193c36c1028ae7 |
---|---|
oai_identifier_str |
oai:repositorio.ufc.br:riufc/61894 |
network_acronym_str |
UFC-7 |
network_name_str |
Repositório Institucional da Universidade Federal do Ceará (UFC) |
repository_id_str |
|
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 |
_version_ |
1813028736641007616 |