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1. Identity statement
Reference TypeThesis or Dissertation (Thesis)
Sitemtc-m12.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier6qtX3pFwXQZ3r59YD6/GNwuN
Repositorysid.inpe.br/iris@1912/2005/07.19.04.12.41   (restricted access)
Last Update2014:05.21.12.32.12 (UTC) sergio@sid.inpe.br
Metadata Repositorysid.inpe.br/iris@1912/2005/07.19.04.13
Metadata Last Update2019:12.19.17.10.48 (UTC) sergio@sid.inpe.br
Secondary KeyINPE-3988-TDL/237
Label10
Citation KeyEspíndola:1986:AvDaMS
TitleAvaliação de dados MSS/LANDSAT para identificação e delimitação de manguezais na área de Cananéia-Iguape (Estado de São Paulo)
Alternate TitleAssessment of data MSS / Landsat for identification and delimitation of mangroves in the area of Cananeia-Iguape (Sao Paulo state)
CourseSER-SPG-INPE-BR
Year1986
Secondary Date1986
Date1985-11-21
Access Date2024, Apr. 19
Thesis TypeDissertação (Mestrado em Sensoriamento Remoto)
Secondary TypeTDI
Number of Pages93
Number of Files1
Size5473 KiB
2. Context
AuthorEspíndola, Carmen Regina Silveira
GroupSER-SPG-INPE-BR
CommitteeNovo, Evlyn Márcia Leão de Moraes (presidente)
Herz, Renato (orientador)
Kux, Hermann
Krishnan, Sahadev Anantha
Setzer, Alberto Waingort
e-Mail Addresspubtc@inpe.br
UniversityInstituto Nacional de Pesquisas Espaciais (INPE)
CitySao Jose dos Campos
History (UTC)2005-07-19 04:13:02 :: administrator -> jefferson ::
2007-01-17 16:26:28 :: jefferson -> Malu ::
2007-02-12 16:11:17 :: Malu -> jefferson ::
2007-02-13 14:15:03 :: jefferson -> administrator ::
2007-02-16 20:02:24 :: administrator -> Malu ::
2007-02-16 20:14:18 :: Malu -> jefferson ::
2009-01-07 11:28:36 :: jefferson -> administrator ::
2009-07-08 20:35:11 :: administrator -> jefferson ::
2010-04-15 12:57:49 :: jefferson -> administrator ::
2012-10-13 04:26:33 :: administrator -> viveca@sid.inpe.br ::
2013-01-07 13:56:18 :: viveca@sid.inpe.br -> administrator :: 1986
2013-04-30 01:54:21 :: administrator -> luis.cpv@hotmail.com :: 1986
2013-05-24 17:30:00 :: luis.cpv@hotmail.com -> administrator :: 1986
2013-10-18 22:45:31 :: administrator -> luis.cpv@hotmail.com :: 1986
2014-05-21 12:32:12 :: luis.cpv@hotmail.com -> sergio@sid.inpe.br :: 1986
2014-05-21 12:34:03 :: sergio@sid.inpe.br -> administrator :: 1986
2018-06-05 00:56:09 :: administrator -> sergio@sid.inpe.br :: 1986
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Keywordsestudos integrados do meio ambiente
Cananéia (SP)
Iguape (SP)
i-100
processamento digital de imagens
sistemas multiespectrais de varredura
satélites LANDSAT
imagens
radar
manguezais
fotografia aérea
integrated environmental studies
image processing
multispectral scanning systems
i-100 computer
mangrove
AbstractOs manguezais são considerados os ambientes responsáveis pela alta produtividade biológica e ecológica dos sistemas costeiros. Apesar disso, são pouco conhecidos e muito devastados, necessitando, portanto, de pesquisas que permitam a sua identificação de maneira rápida e pouco onerosa. As técnicas de sensoriamento remoto que utilizam dados obtidos por satélite, processados digitalmente, tem sido muito valiosas, não só por seu reduzido custo, como também pela capacidade de fornecer uma visão geral da extensa área costeira. Esta pesquisa teve como objetivo avaliar a distribuição física dos manguezais da região Cananeia-Iguape através de processamento digital de imagens MSS-LANDSAT com imagens de radar e fotografias aéreas. A classificação estatística realizada por algoritmos do Sistema Interativo de Analise de Imagens Multiespectrais (IMAGE-100) forneceu um mapa temático com 13 unidades de manguezal. Estas áreas foram calculadas e correlacionadas com as áreas obtidas em fotografias aéreas panorâmicas e em imagens de radar. Os resultados encontrados revelaram coeficientes de correlação linear muito próximos de um (r=0,99), o qual demonstrou que o processamento de dados MSS-LANDSAT e satisfatório para a identificação das características gerais dos ambientes de manguezais. ABSTRACT: Mangroves are considered to be responsible for the high biological productivity of coastal enviroments. In spite of their ecological importance, their spatial distribution patterns are poorly known and this fact restricts the effectiveness of management regarding protective measures against devastation by man. The application of satellite remote sensing techniques to the study of these patterns is economically attractive and permits an overall view of extensive areas. This study was made to evaluate the physical distribution of the Cananéia-Iguape mangrove in the southeast Brazilian coast using MSS-LANDSAT digital image processing which were correlated with radar images and aerial pkotographs. A statistical classification using algorithms from the Multispectral Interative Image Analysis System (IMAGE-100) yielded a thematic map, from which 13 units were selected for area estimation. Correlations with radar image and panchromatic aerial photograph area estimation revealed maximum linear correlation coefficients higher than r=0.99, which means that the MSS-LANDSAT data processing system was entirely satisfactory for identification of the general characteristics of mangrove environments.
AreaSRE
Arrangementurlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > Avaliação de dados...
doc Directory Contentaccess
source Directory Content
publicacao.pdf 21/05/2014 09:34 5.3 MiB
agreement Directory Contentthere are no files
4. Conditions of access and use
Languagept
Target Filepublicacao.pdf
User GroupMalu
administrator
jefferson
pubtc@inpe.br
sergio@sid.inpe.br
viveca@sid.inpe.br
Visibilityshown
Rightsholderoriginalauthor yes locatedauthor no
Copy HolderSID/SCD
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/3F3NU5S
Host Collectionsid.inpe.br/banon/2001/04.06.10.52
6. Notes
Empty Fieldsacademicdepartment affiliation archivingpolicy archivist callnumber contenttype copyright creatorhistory descriptionlevel dissemination doi electronicmailaddress format isbn issn lineage mark mirrorrepository nextedition notes number orcid parameterlist parentrepositories previousedition previouslowerunit progress readergroup resumeid schedulinginformation secondarymark session shorttitle sponsor subject tertiarymark tertiarytype url versiontype
7. Description control
e-Mail (login)sergio@sid.inpe.br
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