1. Identity statement | |
Reference Type | Journal Article |
Site | plutao.sid.inpe.br |
Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identifier | 8JMKD3MGP3W/3GDQ66E |
Repository | sid.inpe.br/plutao/2014/06.03.19.05 (restricted access) |
Last Update | 2014:09.09.18.41.49 (UTC) administrator |
Metadata Repository | sid.inpe.br/plutao/2014/06.03.19.05.28 |
Metadata Last Update | 2018:06.04.23.39.28 (UTC) administrator |
DOI | 10.1016/j.jag.2014.04.006 |
ISSN | 0303-2434 |
Label | lattes: 9558008969923427 1 MoreiraVale:2014:ApEvTo |
Citation Key | MoreiraVale:2014:ApEvTo |
Title | Application and evaluation of topographic correction methods to improve land cover mapping using object-based classification |
Year | 2014 |
Access Date | 2024, May 18 |
Type of Work | journal article |
Secondary Type | PRE PI |
Number of Files | 1 |
Size | 2193 KiB |
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2. Context | |
Author | 1 Moreira, Eder Paulo 2 Valeriano, Márcio de Morisson |
Resume Identifier | 1 2 8JMKD3MGP5W/3C9JHPL |
Group | 1 SER-SRE-SPG-INPE-MCTI-GOV-BR 2 DSR-OBT-INPE-MCTI-GOV-BR |
Affiliation | 1 Instituto Nacional de Pesquisas Espaciais (INPE) 2 Instituto Nacional de Pesquisas Espaciais (INPE) |
Author e-Mail Address | 1 eder@dsr.inpe.br 2 valerian@dsr.inpe.br |
e-Mail Address | marcelo.pazos@inpe.br |
Journal | International Journal of Applied Earth Observation and Geoinformation |
Volume | 32 |
Pages | 208-217 |
Secondary Mark | B1_GEOCIÊNCIAS |
History (UTC) | 2014-06-03 19:08:20 :: lattes -> administrator :: 2014 2018-06-04 23:39:28 :: administrator -> marcelo.pazos@inpe.br :: 2014 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Content Type | External Contribution |
Version Type | publisher |
Keywords | Topographic effect Landsat SRTM Classification accuracy Land cover classification Radiometric correction |
Abstract | This 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. |
Area | SRE |
Arrangement 1 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Application and evaluation... |
Arrangement 2 | urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > Application and evaluation... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | there are no files |
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4. Conditions of access and use | |
Language | en |
User Group | lattes marcelo.pazos@inpe.br self-uploading-INPE-MCTI-GOV-BR |
Reader Group | administrator marcelo.pazos@inpe.br |
Visibility | shown |
Archiving Policy | denypublisher denyfinaldraft24 |
Read Permission | deny from all and allow from 150.163 |
Update Permission | not transferred |
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5. Allied materials | |
Linking | 8JMKD3MGP7W/3FHCR62 |
Mirror Repository | iconet.com.br/banon/2006/11.26.21.31 |
Next Higher Units | 8JMKD3MGPCW/3ER446E 8JMKD3MGPCW/3F3NU5S |
Citing Item List | sid.inpe.br/bibdigital/2013/10.18.22.34 1 |
URL (untrusted data) | http://www.sciencedirect.com/science/article/pii/S0303243414000907# |
Dissemination | WEBSCI; PORTALCAPES; SCOPUS. |
Host Collection | dpi.inpe.br/plutao@80/2008/08.19.15.01 |
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6. Notes | |
Empty Fields | alternatejournal 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 |
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7. Description control | |
e-Mail (login) | marcelo.pazos@inpe.br |
update | |
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