Close

1. Identity statement
Reference TypeJournal Article
Siteplutao.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W/3GDQ66E
Repositorysid.inpe.br/plutao/2014/06.03.19.05   (restricted access)
Last Update2014:09.09.18.41.49 (UTC) administrator
Metadata Repositorysid.inpe.br/plutao/2014/06.03.19.05.28
Metadata Last Update2018:06.04.23.39.28 (UTC) administrator
DOI10.1016/j.jag.2014.04.006
ISSN0303-2434
Labellattes: 9558008969923427 1 MoreiraVale:2014:ApEvTo
Citation KeyMoreiraVale:2014:ApEvTo
TitleApplication and evaluation of topographic correction methods to improve land cover mapping using object-based classification
Year2014
Access Date2024, May 18
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size2193 KiB
2. Context
Author1 Moreira, Eder Paulo
2 Valeriano, Márcio de Morisson
Resume Identifier1
2 8JMKD3MGP5W/3C9JHPL
Group1 SER-SRE-SPG-INPE-MCTI-GOV-BR
2 DSR-OBT-INPE-MCTI-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 eder@dsr.inpe.br
2 valerian@dsr.inpe.br
e-Mail Addressmarcelo.pazos@inpe.br
JournalInternational Journal of Applied Earth Observation and Geoinformation
Volume32
Pages208-217
Secondary MarkB1_GEOCIÊNCIAS
History (UTC)2014-06-03 19:08:20 :: lattes -> administrator :: 2014
2018-06-04 23:39:28 :: administrator -> marcelo.pazos@inpe.br :: 2014
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsTopographic effect
Landsat
SRTM
Classification accuracy
Land cover classification
Radiometric correction
AbstractThis study applies and evaluates topographic correction methods to reduce radiometric variation dueto topography characteristics in rugged terrain. The aim of this study was to improve the capability ofsatellite images to generate more reliable land cover mapping using object-based classification. Severalsemi-empirical correction methods, which require the estimation of empirically defined parameters,were selected for this study. Usually, these parameters are estimated relying on a previous land covermap. However, in this work the correction methods were applied considering the unavailability of a pre-vious land cover map and the ease for implementation, so the main land cover type was used to estimatecorrection parameters to be applied to correct all land cover type. Landsat 5 TM image and topographicdata derived from SRTM (Shuttle Radar Topography Mission) over an area located in an agriculturalregion of southeastern Brazil were used. Land cover classification was carried out using an object-basedapproach, which includes image segmentation and decision tree classification. The evaluation of topo-graphic correction methods was based on: spectral characteristics expressed by standard deviation andmean values of spectral data within land cover classes; relationship between spectral data and solar illu-mination angle on the slope (cos i); object (segment) mean size; decision tree structure; visual analysis;and classification accuracy. Results show that the standard deviation of spectral data and the correlationbetween spectral values and cos i decreased after data correction, but not for all methods for some of thetested TM bands. The methods herein referred as Cosine, S1, Ad2S and SCS methods showed to increasethe standard deviation and the correlation compared to the uncorrected data, mainly for bands 1, 2 and3. Object mean size, in general, decreased after correction, except for C method. The effect on the objectsize showed to be related to a calculated standard deviation of adjacent pixels values. The decision treestructure given by the number of leaves also decreased after correction. The C, SCS + C and Minnaertmethods showed the highest performance, followed by S2 and E-Stat, with a general accuracy increasearound 10%. Land cover classification from uncorrected and corrected data differed in a large portion ofthe total studied area, with values around 29% for all correction methods.
AreaSRE
Arrangement 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Application and evaluation...
Arrangement 2urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > Application and evaluation...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
Languageen
User Grouplattes
marcelo.pazos@inpe.br
self-uploading-INPE-MCTI-GOV-BR
Reader Groupadministrator
marcelo.pazos@inpe.br
Visibilityshown
Archiving Policydenypublisher denyfinaldraft24
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Linking8JMKD3MGP7W/3FHCR62
Mirror Repositoryiconet.com.br/banon/2006/11.26.21.31
Next Higher Units8JMKD3MGPCW/3ER446E
8JMKD3MGPCW/3F3NU5S
Citing Item Listsid.inpe.br/bibdigital/2013/10.18.22.34 1
URL (untrusted data)http://www.sciencedirect.com/science/article/pii/S0303243414000907#
DisseminationWEBSCI; PORTALCAPES; SCOPUS.
Host Collectiondpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notes
Empty Fieldsalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel format isbn lineage mark month nextedition notes number orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject targetfile tertiarytype
7. Description control
e-Mail (login)marcelo.pazos@inpe.br
update 


Close