The use of digital photographs to quantify vegetation ground cover in degraded areas

Detalhes bibliográficos
Autor(a) principal: Azevedo, Marinete Martins
Data de Publicação: 2005
Outros Autores: Leite, Laércio Leonel, Baptista, Gustavo Macedo de Mello
Tipo de documento: Artigo
Idioma: por
Título da fonte: Sociedade & natureza (Online)
Texto Completo: https://seer.ufu.br/index.php/sociedadenatureza/article/view/9786
Resumo: This study was aimed at assessing the possibility to use digital photographs to evaluate success of the reclamation of a gravel-mined degraded area. The indicator used to measure success was the degree of vegetation ground cover. Photographs were taken with a Canon camera (model Power Shot A 100). On 11th of October 2003, in a sunny day (without clouds), a total of 24 photographs were taken of the centre of the 24 experimental plots. All the 24 photographs were processed with ENVI 3.5 software following the same procedures applied to process satellite scenes. In each scene analysed, two classes - vegetation cover and bared soil - were identified with the maximum likelihood algorithm. Results showed that digital photographs can be used in the quantification of vegetation ground cover and that the technique employed in this study can be applied to evaluate methodologies of reclamation of mined areas in which the establishment of vegetation is expected. The technique tested in this study can be employed by government agencies in charge of land reclamation plans because it is efficient in determining vegetation ground cover, is easy to perform and is not expensive.
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spelling The use of digital photographs to quantify vegetation ground cover in degraded areasThis study was aimed at assessing the possibility to use digital photographs to evaluate success of the reclamation of a gravel-mined degraded area. The indicator used to measure success was the degree of vegetation ground cover. Photographs were taken with a Canon camera (model Power Shot A 100). On 11th of October 2003, in a sunny day (without clouds), a total of 24 photographs were taken of the centre of the 24 experimental plots. All the 24 photographs were processed with ENVI 3.5 software following the same procedures applied to process satellite scenes. In each scene analysed, two classes - vegetation cover and bared soil - were identified with the maximum likelihood algorithm. Results showed that digital photographs can be used in the quantification of vegetation ground cover and that the technique employed in this study can be applied to evaluate methodologies of reclamation of mined areas in which the establishment of vegetation is expected. The technique tested in this study can be employed by government agencies in charge of land reclamation plans because it is efficient in determining vegetation ground cover, is easy to perform and is not expensive.Universidade Federal de Uberlândia2005-05-30info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.ufu.br/index.php/sociedadenatureza/article/view/978610.14393/SN-v1-2005-9786Sociedade & Natureza; Vol. 1 No. 1 (2005): International Symposium on Land Degradation and DesertificationSociedade & Natureza; v. 1 n. 1 (2005): International Symposium on Land Degradation and Desertification1982-45130103-1570reponame:Sociedade & natureza (Online)instname:Universidade Federal de Uberlândia (UFU)instacron:UFUporhttps://seer.ufu.br/index.php/sociedadenatureza/article/view/9786/5875Copyright (c) 2009 Marinete Martins Azevedo, Laércio Leonel Leite, Gustavo Macedo de Mello Baptistahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessAzevedo, Marinete MartinsLeite, Laércio LeonelBaptista, Gustavo Macedo de Mello2022-12-07T15:00:14Zoai:ojs.www.seer.ufu.br:article/9786Revistahttp://www.sociedadenatureza.ig.ufu.br/PUBhttps://seer.ufu.br/index.php/sociedadenatureza/oai||sociedade.natureza.ufu@gmail.com|| lucianamelo@ufu.br1982-45130103-1570opendoar:2022-12-07T15:00:14Sociedade & natureza (Online) - Universidade Federal de Uberlândia (UFU)false
dc.title.none.fl_str_mv The use of digital photographs to quantify vegetation ground cover in degraded areas
title The use of digital photographs to quantify vegetation ground cover in degraded areas
spellingShingle The use of digital photographs to quantify vegetation ground cover in degraded areas
Azevedo, Marinete Martins
title_short The use of digital photographs to quantify vegetation ground cover in degraded areas
title_full The use of digital photographs to quantify vegetation ground cover in degraded areas
title_fullStr The use of digital photographs to quantify vegetation ground cover in degraded areas
title_full_unstemmed The use of digital photographs to quantify vegetation ground cover in degraded areas
title_sort The use of digital photographs to quantify vegetation ground cover in degraded areas
author Azevedo, Marinete Martins
author_facet Azevedo, Marinete Martins
Leite, Laércio Leonel
Baptista, Gustavo Macedo de Mello
author_role author
author2 Leite, Laércio Leonel
Baptista, Gustavo Macedo de Mello
author2_role author
author
dc.contributor.author.fl_str_mv Azevedo, Marinete Martins
Leite, Laércio Leonel
Baptista, Gustavo Macedo de Mello
description This study was aimed at assessing the possibility to use digital photographs to evaluate success of the reclamation of a gravel-mined degraded area. The indicator used to measure success was the degree of vegetation ground cover. Photographs were taken with a Canon camera (model Power Shot A 100). On 11th of October 2003, in a sunny day (without clouds), a total of 24 photographs were taken of the centre of the 24 experimental plots. All the 24 photographs were processed with ENVI 3.5 software following the same procedures applied to process satellite scenes. In each scene analysed, two classes - vegetation cover and bared soil - were identified with the maximum likelihood algorithm. Results showed that digital photographs can be used in the quantification of vegetation ground cover and that the technique employed in this study can be applied to evaluate methodologies of reclamation of mined areas in which the establishment of vegetation is expected. The technique tested in this study can be employed by government agencies in charge of land reclamation plans because it is efficient in determining vegetation ground cover, is easy to perform and is not expensive.
publishDate 2005
dc.date.none.fl_str_mv 2005-05-30
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://seer.ufu.br/index.php/sociedadenatureza/article/view/9786
10.14393/SN-v1-2005-9786
url https://seer.ufu.br/index.php/sociedadenatureza/article/view/9786
identifier_str_mv 10.14393/SN-v1-2005-9786
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://seer.ufu.br/index.php/sociedadenatureza/article/view/9786/5875
dc.rights.driver.fl_str_mv Copyright (c) 2009 Marinete Martins Azevedo, Laércio Leonel Leite, Gustavo Macedo de Mello Baptista
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2009 Marinete Martins Azevedo, Laércio Leonel Leite, Gustavo Macedo de Mello Baptista
https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Uberlândia
publisher.none.fl_str_mv Universidade Federal de Uberlândia
dc.source.none.fl_str_mv Sociedade & Natureza; Vol. 1 No. 1 (2005): International Symposium on Land Degradation and Desertification
Sociedade & Natureza; v. 1 n. 1 (2005): International Symposium on Land Degradation and Desertification
1982-4513
0103-1570
reponame:Sociedade & natureza (Online)
instname:Universidade Federal de Uberlândia (UFU)
instacron:UFU
instname_str Universidade Federal de Uberlândia (UFU)
instacron_str UFU
institution UFU
reponame_str Sociedade & natureza (Online)
collection Sociedade & natureza (Online)
repository.name.fl_str_mv Sociedade & natureza (Online) - Universidade Federal de Uberlândia (UFU)
repository.mail.fl_str_mv ||sociedade.natureza.ufu@gmail.com|| lucianamelo@ufu.br
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