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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitemtc-m12.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier6qtX3pFwXQZ3r59YD6/GNpap
Repositorysid.inpe.br/iris@1912/2005/07.18.22.27.48
Last Update2015:10.22.13.54.48 (UTC) marciana
Metadata Repositorysid.inpe.br/iris@1912/2005/07.18.22.27.56
Metadata Last Update2019:02.04.13.03.31 (UTC) administrator
Secondary KeyINPE-4594-PRE/1324
Label392
Citation KeyPintoFlor:1988:LaDaMa
TitleLandsat-TM data to map flooded areas
Year1988
Secondary Date19900419
Access Date2024, May 19
Secondary TypePRE CI
Number of Files1
Size1015 KiB
2. Context
Author1 Pinto, Sergio dos Anjos Ferreira
2 Florenzano, Teresa Gallotti
Group1 DSR-INPE-BR
Conference NameInternational Congress of Photogrammetry and Remote Sensing, 16.
Conference LocationKyoto, Japan
Date1-10 July 1988
Pages535-537
OrganizationISPRS
History (UTC)2008-06-09 19:49:40 :: administrator -> jefferson ::
2010-07-07 18:43:15 :: jefferson -> administrator ::
2015-05-20 16:44:13 :: administrator -> marciana :: 1988
2015-10-22 13:54:48 :: marciana -> administrator :: 1988
2019-02-04 13:03:31 :: administrator -> simone :: 1988
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
KeywordsESTUDOS INTEGRADOS DO MEIO AMBIENTE
RIO PARNAIBA
INUNDACAO
LAMINA D'AGUA
TM LANDSAT
MAXIMA VEROSSIMILHANCA
MAPEADOR TEMATICO (LANDSAT)
IMAGENS LANDSAT
FLOODS
WATER SURFACE
AbstractThe objective of this study is to identify flooded areas using digital LANDSAT-TM data. The test site is a section along the Parnaiba river (NE of Brazil). By means of digital processing, one analyses the spectral separability of the classes, which are characterized by the presence of water surface with different intensities of a pixel in the near infrared band (4). A Density Slicing algorithm is applied for this purpose. The multitemporal analysis of the data is accomplished through the merging of the band 4 images corresponding to normal and flood periods. After this procedure, a maximum likelihood algorithm is applied in both images. The Density Slicing is also applied in multitemporal difference of the image (band-4-normal minus band-4-flood). A comparative analysis of the digital processing techniques using TM data to study flooded areas is presented.
AreaSRE
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Landsat-TM data to...
doc Directory Contentaccess
source Directory Contentthere are no files
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/6qtX3pFwXQZ3r59YD6/GNpap
zipped data URLhttp://urlib.net/zip/6qtX3pFwXQZ3r59YD6/GNpap
Target FileINPE 4594.pdf
User Groupadministrator
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Reader Groupadministrator
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Visibilityshown
Read Permissionallow from all
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/3ER446E
Host Collectionsid.inpe.br/banon/2001/04.06.10.52
6. Notes
Empty Fieldsaffiliation archivingpolicy archivist booktitle callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi e-mailaddress edition editor electronicmailaddress format isbn issn language lineage mark mirrorrepository nextedition notes numberofvolumes orcid parameterlist parentrepositories previousedition previouslowerunit progress project publisher publisheraddress resumeid rightsholder schedulinginformation secondarymark serieseditor session shorttitle sponsor subject tertiarymark tertiarytype type url versiontype volume
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