A NEW PROCEDURE FOR FORESTRY DATABASE UPDATING WITH GIS AND REMOTE SENSING
Autor(a) principal: | |
---|---|
Data de Publicação: | 2015 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Cerne (Online) |
Texto Completo: | https://cerne.ufla.br/site/index.php/CERNE/article/view/546 |
Resumo: | The aim of this study was to develop an automated, simple and flexible procedure for updating raster-based forestry database. Four modules compose the procedure: (1) location of changed sites, (2) quantification of changed area, (3) identification of the new land cover, and (4) database updating. Firstly, a difference image is decomposed with wavelet transforms in order to extract changed sites. Secondly, segmentation is performed on the difference image. Thirdly, each changed pixel or each segmented region is assigned to the land cover class with the highest probability of membership. Then, the output is used to update the GIS layer where changes took place. This procedure was less sensitive to geometric and radiometric misregistration, and less dependent on ground truth, when compared with post classification comparison and direct multidate classification. |
id |
UFLA-3_221e6ce9b1be7ec678093de46ae90a31 |
---|---|
oai_identifier_str |
oai:cerne.ufla.br:article/546 |
network_acronym_str |
UFLA-3 |
network_name_str |
Cerne (Online) |
repository_id_str |
|
spelling |
A NEW PROCEDURE FOR FORESTRY DATABASE UPDATING WITH GIS AND REMOTE SENSINGwaveletssegmentationclassificationrasterchange detectionremote sensingThe aim of this study was to develop an automated, simple and flexible procedure for updating raster-based forestry database. Four modules compose the procedure: (1) location of changed sites, (2) quantification of changed area, (3) identification of the new land cover, and (4) database updating. Firstly, a difference image is decomposed with wavelet transforms in order to extract changed sites. Secondly, segmentation is performed on the difference image. Thirdly, each changed pixel or each segmented region is assigned to the land cover class with the highest probability of membership. Then, the output is used to update the GIS layer where changes took place. This procedure was less sensitive to geometric and radiometric misregistration, and less dependent on ground truth, when compared with post classification comparison and direct multidate classification.CERNECERNE2015-10-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://cerne.ufla.br/site/index.php/CERNE/article/view/546CERNE; Vol. 9 No. 2 (2003); 164-177CERNE; v. 9 n. 2 (2003); 164-1772317-63420104-7760reponame:Cerne (Online)instname:Universidade Federal de Lavras (UFLA)instacron:UFLAporhttps://cerne.ufla.br/site/index.php/CERNE/article/view/546/471Copyright (c) 2015 CERNEinfo:eu-repo/semantics/openAccessCarvalho, Luis M. T. deClevers, Jan G. P. W.Jong, Steven M. deSkidmore, Andrew K.2015-10-21T22:59:19Zoai:cerne.ufla.br:article/546Revistahttps://cerne.ufla.br/site/index.php/CERNEPUBhttps://cerne.ufla.br/site/index.php/CERNE/oaicerne@dcf.ufla.br||cerne@dcf.ufla.br2317-63420104-7760opendoar:2024-05-21T19:53:58.106204Cerne (Online) - Universidade Federal de Lavras (UFLA)true |
dc.title.none.fl_str_mv |
A NEW PROCEDURE FOR FORESTRY DATABASE UPDATING WITH GIS AND REMOTE SENSING |
title |
A NEW PROCEDURE FOR FORESTRY DATABASE UPDATING WITH GIS AND REMOTE SENSING |
spellingShingle |
A NEW PROCEDURE FOR FORESTRY DATABASE UPDATING WITH GIS AND REMOTE SENSING Carvalho, Luis M. T. de wavelets segmentation classification raster change detection remote sensing |
title_short |
A NEW PROCEDURE FOR FORESTRY DATABASE UPDATING WITH GIS AND REMOTE SENSING |
title_full |
A NEW PROCEDURE FOR FORESTRY DATABASE UPDATING WITH GIS AND REMOTE SENSING |
title_fullStr |
A NEW PROCEDURE FOR FORESTRY DATABASE UPDATING WITH GIS AND REMOTE SENSING |
title_full_unstemmed |
A NEW PROCEDURE FOR FORESTRY DATABASE UPDATING WITH GIS AND REMOTE SENSING |
title_sort |
A NEW PROCEDURE FOR FORESTRY DATABASE UPDATING WITH GIS AND REMOTE SENSING |
author |
Carvalho, Luis M. T. de |
author_facet |
Carvalho, Luis M. T. de Clevers, Jan G. P. W. Jong, Steven M. de Skidmore, Andrew K. |
author_role |
author |
author2 |
Clevers, Jan G. P. W. Jong, Steven M. de Skidmore, Andrew K. |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Carvalho, Luis M. T. de Clevers, Jan G. P. W. Jong, Steven M. de Skidmore, Andrew K. |
dc.subject.por.fl_str_mv |
wavelets segmentation classification raster change detection remote sensing |
topic |
wavelets segmentation classification raster change detection remote sensing |
description |
The aim of this study was to develop an automated, simple and flexible procedure for updating raster-based forestry database. Four modules compose the procedure: (1) location of changed sites, (2) quantification of changed area, (3) identification of the new land cover, and (4) database updating. Firstly, a difference image is decomposed with wavelet transforms in order to extract changed sites. Secondly, segmentation is performed on the difference image. Thirdly, each changed pixel or each segmented region is assigned to the land cover class with the highest probability of membership. Then, the output is used to update the GIS layer where changes took place. This procedure was less sensitive to geometric and radiometric misregistration, and less dependent on ground truth, when compared with post classification comparison and direct multidate classification. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-10-08 |
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/546 |
url |
https://cerne.ufla.br/site/index.php/CERNE/article/view/546 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://cerne.ufla.br/site/index.php/CERNE/article/view/546/471 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2015 CERNE info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2015 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. 9 No. 2 (2003); 164-177 CERNE; v. 9 n. 2 (2003); 164-177 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_ |
1799874941052518400 |