MONITORING ENVIRONMENTAL CATASTROPHE AREA THROUGH CHANGE DETECTION TECHNIQUES
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Cerne (Online) |
Texto Completo: | https://cerne.ufla.br/site/index.php/CERNE/article/view/884 |
Resumo: | The use of satellite images has been very effective for monitoring the dynamics of the land use and occupation over time. For this purpose , the change detection techniques have been strong allies. These techniques have multiple complexities depending on the objective to be achieved. This study aims to evaluate the technique for land use and land cover changing detection in areas affected by the environmental disaster of November 2008 in the region of Morro do Baú, Santa Catarina, Brazil. A total of 04 (four) images from different dates between 1992 and 2009 (post-disaster) were used. The images were processed in vegetation index using bands 7 and 4 in order to minimize atmospheric and radiometric distortions. Shadow mask, construted from the digital terrain model, was developed to avoid false changes caused by shade. It was concluded that the georeferencing must be very accurate in applying these techniques. The vegetation index by using bands 7 and 4and the shadow mask, were effective in minimizing false changes. It showed that the techniques applied are effective to detect changes in areas affected by the disaster. |
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MONITORING ENVIRONMENTAL CATASTROPHE AREA THROUGH CHANGE DETECTION TECHNIQUESItajaí wattershedland use monitoringlandslides.The use of satellite images has been very effective for monitoring the dynamics of the land use and occupation over time. For this purpose , the change detection techniques have been strong allies. These techniques have multiple complexities depending on the objective to be achieved. This study aims to evaluate the technique for land use and land cover changing detection in areas affected by the environmental disaster of November 2008 in the region of Morro do Baú, Santa Catarina, Brazil. A total of 04 (four) images from different dates between 1992 and 2009 (post-disaster) were used. The images were processed in vegetation index using bands 7 and 4 in order to minimize atmospheric and radiometric distortions. Shadow mask, construted from the digital terrain model, was developed to avoid false changes caused by shade. It was concluded that the georeferencing must be very accurate in applying these techniques. The vegetation index by using bands 7 and 4and the shadow mask, were effective in minimizing false changes. It showed that the techniques applied are effective to detect changes in areas affected by the disaster.CERNECERNE2016-04-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://cerne.ufla.br/site/index.php/CERNE/article/view/884CERNE; Vol. 19 No. 1 (2013); 133-140CERNE; v. 19 n. 1 (2013); 133-1402317-63420104-7760reponame:Cerne (Online)instname:Universidade Federal de Lavras (UFLA)instacron:UFLAenghttps://cerne.ufla.br/site/index.php/CERNE/article/view/884/663Copyright (c) 2016 CERNEinfo:eu-repo/semantics/openAccessSantos, Jorgeane Schaefer dosLingnau, Christel2016-04-19T15:46:46Zoai:cerne.ufla.br:article/884Revistahttps://cerne.ufla.br/site/index.php/CERNEPUBhttps://cerne.ufla.br/site/index.php/CERNE/oaicerne@dcf.ufla.br||cerne@dcf.ufla.br2317-63420104-7760opendoar:2024-05-21T19:54:09.886456Cerne (Online) - Universidade Federal de Lavras (UFLA)true |
dc.title.none.fl_str_mv |
MONITORING ENVIRONMENTAL CATASTROPHE AREA THROUGH CHANGE DETECTION TECHNIQUES |
title |
MONITORING ENVIRONMENTAL CATASTROPHE AREA THROUGH CHANGE DETECTION TECHNIQUES |
spellingShingle |
MONITORING ENVIRONMENTAL CATASTROPHE AREA THROUGH CHANGE DETECTION TECHNIQUES Santos, Jorgeane Schaefer dos Itajaí wattershed land use monitoring landslides. |
title_short |
MONITORING ENVIRONMENTAL CATASTROPHE AREA THROUGH CHANGE DETECTION TECHNIQUES |
title_full |
MONITORING ENVIRONMENTAL CATASTROPHE AREA THROUGH CHANGE DETECTION TECHNIQUES |
title_fullStr |
MONITORING ENVIRONMENTAL CATASTROPHE AREA THROUGH CHANGE DETECTION TECHNIQUES |
title_full_unstemmed |
MONITORING ENVIRONMENTAL CATASTROPHE AREA THROUGH CHANGE DETECTION TECHNIQUES |
title_sort |
MONITORING ENVIRONMENTAL CATASTROPHE AREA THROUGH CHANGE DETECTION TECHNIQUES |
author |
Santos, Jorgeane Schaefer dos |
author_facet |
Santos, Jorgeane Schaefer dos Lingnau, Christel |
author_role |
author |
author2 |
Lingnau, Christel |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Santos, Jorgeane Schaefer dos Lingnau, Christel |
dc.subject.por.fl_str_mv |
Itajaí wattershed land use monitoring landslides. |
topic |
Itajaí wattershed land use monitoring landslides. |
description |
The use of satellite images has been very effective for monitoring the dynamics of the land use and occupation over time. For this purpose , the change detection techniques have been strong allies. These techniques have multiple complexities depending on the objective to be achieved. This study aims to evaluate the technique for land use and land cover changing detection in areas affected by the environmental disaster of November 2008 in the region of Morro do Baú, Santa Catarina, Brazil. A total of 04 (four) images from different dates between 1992 and 2009 (post-disaster) were used. The images were processed in vegetation index using bands 7 and 4 in order to minimize atmospheric and radiometric distortions. Shadow mask, construted from the digital terrain model, was developed to avoid false changes caused by shade. It was concluded that the georeferencing must be very accurate in applying these techniques. The vegetation index by using bands 7 and 4and the shadow mask, were effective in minimizing false changes. It showed that the techniques applied are effective to detect changes in areas affected by the disaster. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-04-05 |
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://cerne.ufla.br/site/index.php/CERNE/article/view/884 |
url |
https://cerne.ufla.br/site/index.php/CERNE/article/view/884 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://cerne.ufla.br/site/index.php/CERNE/article/view/884/663 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2016 CERNE info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2016 CERNE |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
CERNE CERNE |
publisher.none.fl_str_mv |
CERNE CERNE |
dc.source.none.fl_str_mv |
CERNE; Vol. 19 No. 1 (2013); 133-140 CERNE; v. 19 n. 1 (2013); 133-140 2317-6342 0104-7760 reponame:Cerne (Online) instname:Universidade Federal de Lavras (UFLA) instacron:UFLA |
instname_str |
Universidade Federal de Lavras (UFLA) |
instacron_str |
UFLA |
institution |
UFLA |
reponame_str |
Cerne (Online) |
collection |
Cerne (Online) |
repository.name.fl_str_mv |
Cerne (Online) - Universidade Federal de Lavras (UFLA) |
repository.mail.fl_str_mv |
cerne@dcf.ufla.br||cerne@dcf.ufla.br |
_version_ |
1799874941940662272 |