Correlation between soil erodibility and satellite data on areas of current desertification: a case study in Senegal

Detalhes bibliográficos
Autor(a) principal: Junior, Waldir de Carvalho
Data de Publicação: 2017
Outros Autores: Loireau, Maud, Fargette, Mireille, Filho, Braz Calderano, Wélé, Abdoulaye
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Ciência & Trópico (Online)
Texto Completo: https://periodicos.fundaj.gov.br/CIC/article/view/1656
Resumo: The purpose of the study is to verify whether some correlation exists between soil erodibility (i.e. K factor mentioned in RUSLE model) and data obtained from satellite images. This piece of work represents a first attempt towards a model that would predict the risk for soil erosion, from information contained in satellite images. Ouarchoch is a rural community in Ferlo Region, Senegal. It lies in a Sahelian typical arid zone and is affected by desertification processes. Ouarchoch site was the pilot area on which the test was performed. K factor was calculated by using soil textural data (sand, silt and clay) in the top (0 – 5 cm) soil layer (data obtained from the web). Landsat7 satellite images represented different seasonal snapshots (“cool” dry season, warm dry season, rainy season, end of rainy season or beginning of dry season) of the same year, 2014. Calculation used Bands 1 to 7 and Normalized Difference Vegetation Index (NDVI). The choice of data, calculation and analysis are detailed. Some positive moderate correlation exists between soil erodibility on the one hand, and NDVI index displayed during the dry season (images in January and May), as well as Band 5 radiations displayed at the beginning of the dry season (post-harvest, image in October) on the other hand.
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spelling Correlation between soil erodibility and satellite data on areas of current desertification: a case study in SenegalThe purpose of the study is to verify whether some correlation exists between soil erodibility (i.e. K factor mentioned in RUSLE model) and data obtained from satellite images. This piece of work represents a first attempt towards a model that would predict the risk for soil erosion, from information contained in satellite images. Ouarchoch is a rural community in Ferlo Region, Senegal. It lies in a Sahelian typical arid zone and is affected by desertification processes. Ouarchoch site was the pilot area on which the test was performed. K factor was calculated by using soil textural data (sand, silt and clay) in the top (0 – 5 cm) soil layer (data obtained from the web). Landsat7 satellite images represented different seasonal snapshots (“cool” dry season, warm dry season, rainy season, end of rainy season or beginning of dry season) of the same year, 2014. Calculation used Bands 1 to 7 and Normalized Difference Vegetation Index (NDVI). The choice of data, calculation and analysis are detailed. Some positive moderate correlation exists between soil erodibility on the one hand, and NDVI index displayed during the dry season (images in January and May), as well as Band 5 radiations displayed at the beginning of the dry season (post-harvest, image in October) on the other hand.Fundação Joaquim Nabuco2017-10-31info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.fundaj.gov.br/CIC/article/view/1656Ciência & Trópico; Vol. 41 No. 2 (2017)Ciência & Trópico; Vol. 41 Núm. 2 (2017)Ciência & Trópico; v. 41 n. 2 (2017)2526-93720304-2685reponame:Ciência & Trópico (Online)instname:Fundação Joaquim Nabuco (FUNDAJ)instacron:FUNDAJenghttps://periodicos.fundaj.gov.br/CIC/article/view/1656/1356Copyright (c) 2017 Fundação Joaquim Nabucoinfo:eu-repo/semantics/openAccessJunior, Waldir de CarvalhoLoireau, MaudFargette, MireilleFilho, Braz CalderanoWélé, Abdoulaye2017-11-01T14:07:37Zoai:ojs.emnuvens.com.br:article/1656Revistahttps://periodicos.fundaj.gov.br/CIC/indexONGhttps://periodicos.fundaj.gov.br/CIC/oailuis.silva-tc@fundaj.gov.br || alexandrina.sobreira@fundaj.gov.br2526-93720304-2685opendoar:2017-11-01T14:07:37Ciência & Trópico (Online) - Fundação Joaquim Nabuco (FUNDAJ)false
dc.title.none.fl_str_mv Correlation between soil erodibility and satellite data on areas of current desertification: a case study in Senegal
title Correlation between soil erodibility and satellite data on areas of current desertification: a case study in Senegal
spellingShingle Correlation between soil erodibility and satellite data on areas of current desertification: a case study in Senegal
Junior, Waldir de Carvalho
title_short Correlation between soil erodibility and satellite data on areas of current desertification: a case study in Senegal
title_full Correlation between soil erodibility and satellite data on areas of current desertification: a case study in Senegal
title_fullStr Correlation between soil erodibility and satellite data on areas of current desertification: a case study in Senegal
title_full_unstemmed Correlation between soil erodibility and satellite data on areas of current desertification: a case study in Senegal
title_sort Correlation between soil erodibility and satellite data on areas of current desertification: a case study in Senegal
author Junior, Waldir de Carvalho
author_facet Junior, Waldir de Carvalho
Loireau, Maud
Fargette, Mireille
Filho, Braz Calderano
Wélé, Abdoulaye
author_role author
author2 Loireau, Maud
Fargette, Mireille
Filho, Braz Calderano
Wélé, Abdoulaye
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Junior, Waldir de Carvalho
Loireau, Maud
Fargette, Mireille
Filho, Braz Calderano
Wélé, Abdoulaye
description The purpose of the study is to verify whether some correlation exists between soil erodibility (i.e. K factor mentioned in RUSLE model) and data obtained from satellite images. This piece of work represents a first attempt towards a model that would predict the risk for soil erosion, from information contained in satellite images. Ouarchoch is a rural community in Ferlo Region, Senegal. It lies in a Sahelian typical arid zone and is affected by desertification processes. Ouarchoch site was the pilot area on which the test was performed. K factor was calculated by using soil textural data (sand, silt and clay) in the top (0 – 5 cm) soil layer (data obtained from the web). Landsat7 satellite images represented different seasonal snapshots (“cool” dry season, warm dry season, rainy season, end of rainy season or beginning of dry season) of the same year, 2014. Calculation used Bands 1 to 7 and Normalized Difference Vegetation Index (NDVI). The choice of data, calculation and analysis are detailed. Some positive moderate correlation exists between soil erodibility on the one hand, and NDVI index displayed during the dry season (images in January and May), as well as Band 5 radiations displayed at the beginning of the dry season (post-harvest, image in October) on the other hand.
publishDate 2017
dc.date.none.fl_str_mv 2017-10-31
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://periodicos.fundaj.gov.br/CIC/article/view/1656
url https://periodicos.fundaj.gov.br/CIC/article/view/1656
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://periodicos.fundaj.gov.br/CIC/article/view/1656/1356
dc.rights.driver.fl_str_mv Copyright (c) 2017 Fundação Joaquim Nabuco
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2017 Fundação Joaquim Nabuco
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Fundação Joaquim Nabuco
publisher.none.fl_str_mv Fundação Joaquim Nabuco
dc.source.none.fl_str_mv Ciência & Trópico; Vol. 41 No. 2 (2017)
Ciência & Trópico; Vol. 41 Núm. 2 (2017)
Ciência & Trópico; v. 41 n. 2 (2017)
2526-9372
0304-2685
reponame:Ciência & Trópico (Online)
instname:Fundação Joaquim Nabuco (FUNDAJ)
instacron:FUNDAJ
instname_str Fundação Joaquim Nabuco (FUNDAJ)
instacron_str FUNDAJ
institution FUNDAJ
reponame_str Ciência & Trópico (Online)
collection Ciência & Trópico (Online)
repository.name.fl_str_mv Ciência & Trópico (Online) - Fundação Joaquim Nabuco (FUNDAJ)
repository.mail.fl_str_mv luis.silva-tc@fundaj.gov.br || alexandrina.sobreira@fundaj.gov.br
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