A NEW PROCEDURE FOR FORESTRY DATABASE UPDATING WITH GIS AND REMOTE SENSING

Detalhes bibliográficos
Autor(a) principal: Carvalho, Luis M. T. de
Data de Publicação: 2015
Outros Autores: Clevers, Jan G. P. W., Jong, Steven M. de, Skidmore, Andrew K.
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

Registros relacionados