The use of digital photographs to quantify vegetation ground cover in degraded areas
Autor(a) principal: | |
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Data de Publicação: | 2005 |
Outros Autores: | , |
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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Sociedade & natureza (Online) |
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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 |
_version_ |
1799943978440720384 |