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1. Identity statement
Reference TypeJournal Article
Sitemtc-m12.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier6qtX3pFwXQZ3r59YD6/GPAwF
Repositorysid.inpe.br/iris@1912/2005/07.21.00.42.53
Last Update2010:05.17.14.46.09 (UTC) marciana
Metadata Repositorysid.inpe.br/iris@1912/2005/07.21.00.42.58
Metadata Last Update2018:06.05.00.40.25 (UTC) administrator
Secondary KeyINPE-9400-PRE/5056
ISSN0100-7912
1983-8700
Label10313
Citation KeyCrepaniDuarShimFida:2002:SeReGe
TitleSensoriamento remoto e geoprocessamento no mapeamento regional da cobertura e uso atual da Terra
Year2002
Secondary Date20021012
Monthabr.
Access Date2024, May 18
Secondary TypePRE PN
Number of Files1
Size287 KiB
2. Context
Author1 Crepani, Edison
2 Duarte, Valdete
3 Shimabukuro, Yosio Edemir
4 Fidalgo, Elaine Cristina Cardoso
Resume Identifier1 8JMKD3MGP5W/3C9JGU9
2 8JMKD3MGP5W/3C9JJAU
3 8JMKD3MGP5W/3C9JJCQ
Group1 DSR-INPE-MCT-BR
2 DSR-INPE-MCT-BR
3 DSR-INPE-MCT-BR
JournalGeografia (Rio Claro)
Volume27
Number1
Pages119-135
History (UTC)2008-06-09 19:19:44 :: administrator -> jefferson ::
2010-07-07 19:06:04 :: jefferson -> marciana :: 2002
2011-10-31 12:50:54 :: marciana -> administrator :: 2002
2016-06-04 23:29:45 :: administrator -> marciana :: 2002
2016-10-13 18:50:29 :: marciana -> administrator :: 2002
2018-06-05 00:40:25 :: administrator -> marciana :: 2002
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsGEOPROCESSAMENTO
imagens sintéticas
cobertura vegetal
uso da terra.
geoprocessing
synthetic images
land cover
land use
AbstractO objetivo deste trabalho é apresentar uma abordagem metodológica para mapear a cobertura e o uso atual da terra, a nível regional, utilizando técnicas de Sensoriamento Remoto e Geoprocessamento. A área de estudo compreendida entre as coordenadas 01o 45' e 08o 20' de Latitude Sul e 44o 00' e 54o 00' de Longitude Oeste é coberta por 17 imagens do sensor "Thematic Mapper" (TM)do satélite Landsat. Esta metodologia consiste na geração de imagens sintéticas (vegetação, solo e sombra), através do modelo linear de mistura espectral utilizando as bandas 3, 4 e 5 do TM, para realçar os alvos de interesse e minimizar o tempo de processamento na tarefa de classificação. Esta tarefa foi realizada utilizando o processo de segmentação de imagens, seguida da classificação não supervisionada por regiões e mapeamento das classes de interesse pré-definidas (legenda temática). O resultado do mapeamento é finalmente editado pelo fotointérprete com a finalidade de corrigir os erros de classificação do sistema, baseado na sua experiência e informações auxiliares disponíveis (fotografias aéreas, mapas, etc.). A abordagem proposta é viável para grandes regiões utilizando imagens do TM ou de outros sensores de alta resolução espacial, produzindo mapa bem confiável, e permitindo a atualização a qualquer tempo e a integração com outras informações do banco de dados gerado. ABSTRACT: The objective of this work is to present a methodological approach for land use land cover regional mapping, using Remote Sensing and Geoprocessing techniques. The study area, comprised between the geographic coordinates 01o 45' and 08o 20' South Latitude and 44o 00' and 54o 00' West Longitude, is covered by 17 Thematic Mapper (TM)images of Landsat satellite. This methodology consists on the generation of synthetic images (vegetation, soil and shade), through the spectral linear mixing model using the TM bands 3, 4, and 5, to enhance the contrast among targets of interest and to minimize computer processing time during the classification task. This task was performed using the image segmentation algorithm, followed by the non-supervised classification of regions and mapping the pre-defined classes of interest (thematic legend). The mapping result is finally edited by the photointerpreter with the purpose of correcting any classification errors, based on his experience and using available ancillary information (aerial photographs, maps, etc.). The proposed approach is feasible for large areas using TM or other high-resolution data, producing very reliable map, and permitting to update it at any time and to integrate it with other information in the data base.
AreaSRE
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Sensoriamento remoto e...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://urlib.net/ibi/6qtX3pFwXQZ3r59YD6/GPAwF
zipped data URLhttp://urlib.net/zip/6qtX3pFwXQZ3r59YD6/GPAwF
Languagept
Target File1758-7390-1-PB[1].pdf
User Groupadministrator
jefferson
marciana
Reader Groupadministrator
marciana
Visibilityshown
Archiving Policyallowpublisher allowfinaldraft
Read Permissionallow from all
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/3ER446E
Citing Item Listsid.inpe.br/mtc-m21/2012/07.13.14.44.49 1
Host Collectionsid.inpe.br/banon/2001/04.06.10.52
6. Notes
Empty Fieldsaffiliation alternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi e-mailaddress electronicmailaddress format isbn lineage mark mirrorrepository nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarymark session shorttitle sponsor subject tertiarymark tertiarytype typeofwork url
7. Description control
e-Mail (login)marciana
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