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Reference TypeThesis
Identifier6qtX3pFwXQZ3r59YD6/GNoaU
Repositorysid.inpe.br/iris@1912/2005/07.18.21.41.28
Metadatasid.inpe.br/iris@1912/2005/07.18.21.41.34
Sitemtc-m12.sid.inpe.br
Label22
Secondary KeyINPE-2694-TDL/128
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Citation KeyPinto:1983:UtTéSe
AuthorPinto, Sérgio dos Anjos Ferreira
GroupSER-SPG-INPE-BR
TitleUtilização de técnicas de sensoriamento remoto para a caracterização de erosão do solo no SW do Estado de São Paulo
Year1983
CommitteeKux, Hermann Johann Heinrich (presidente)
Queiroz Neto, José Pereira de (orientador)
Amaral, Gilberto (orientador)
Lombardi Neto, Francisco
Tardin, Antonio Tebaldi
Date1982-09-29
Alternate TitleRemote sensing techniques used to characterize soil erosion in southwestern Sao Paulo state
UniversityInstituto Nacional de Pesquisas Espaciais (INPE)
CitySao Jose dos Campos
Keywordsestudos integrados do meio ambiente, Bacia Ribeirão Anhumas (SP) São Paulo (Estado), erosão, solos, topografia, vegetação, Landsat-2, satélites Landsat, fotografia aérea, fotointerpretação, uso do solo, vegetação, sistemas multiespectrais de varredura, imagens Landsat, satélite Landsat, geology, soil erosion, aerial photography, vegetation, land use, multispectral band scanners.
AbstractEste trabalho teve como objetivo desenvolver uma metodologia de utilização de técnicas de sensoriamento remoto para a caracterização da erosão do solo, considerando os fatores topográficos e antrópico. Selecionou-se como área de estudo a bacia do Ribeirão Anhumas, na região SW do Estado de São Paulo, que vem sendo submetida a processos de erosão do solo, através de ravinamentos. Neste trabalho foram utilizadas fotografias aéreas pancromáticas, cartas topográficas e fitas compatíveis com computador (CCTs) do LANDSAT-2. Através de amostragem randômica em quadrículas de 1 km x 1 km foram extraídas das fotografias aéreas a frequência de ravinas, o tipo de cobertura vegetal/uso da terra e as formas de vertentes; foram calculados das cartas topográficas a declividade média, a densidade hidrográfica e a extensão de vertentes. Durante os trabalhos de campo foram obtidos dados sobre a razão entre porcentagem de areia fina e areia grossa e densidade de cobertura vegetal. Os dados contidos em CCTs foram analisados utilizando os algoritmos "Single-Cell", "Cluster Synthesis" e "Slicer", implementados no sistema Image 100. As análises gráficas e estatísticas demonstraram que a declividade e a variação de cobertura vegetal/uso são os fatores mais significativos ao condicionamento da erosão do solo. A análise digital das CCts/LANDSAT, referentes ao canal 5, permitiu o estabelecimento de associações entre classes de níveis de cinza e de cobertura vegetal, sendo possível definir sete classes para a área de estudo. As classes de níveis de cinza e de declividades foram utilizadas para compor uma escala de riscos à erosão. ABSTRAT: The objective of this study was to develop a methodology of application of remote sensing techniques to characterize soil erosion, considering topographic features and human influences. The area under study was the Ribeirão Anhumas drainage basin, SW of São Paulo State (Brazil) which is undergoing rill and gullying erosion processes. The following materials were used: panchromatic aerial photographies; topographic maps and computer compatible tapes (CCTs) from MSS-LANDSAT-2 data. Within randomly sampled squares of a 1 km x 1 km grid, rill/gullies frequency, land cover/land use type and shape of the slopes were extracted from the aerial photographies; mean slope gradient, stream frequency and slope length were calculated on the topographic maps. During field work data on fine sand/coarse sand ratio and vegetation cover densities were obtained. The MSS-LANDSAT-2 data (CCTs) were analyzed using the folowing algorithms: Single-Cell, Cluster Synthesis and Slicer, implemented at the Image 100 system. The graphical and statistical analysis of the data indicated that different slope gradients and land cover/land use types are the most significant factors related to the soil erosion process. The digital analysis of MSS/5 LANDSAT-2 data (CCTs) allowed the association among gray level classes and vegetation cover classes, which defined seven classes in the study area. These gray level classes and slope gradient classes were used in order to establish an erosion risk ranking.
Number of Pages122
Languagept
Thesis TypeDissertação (Mestrado em Sensoriamento Remoto)
Secondary TypeTDI
DisseminationNTRSNASA; BNDEPOSITOLEGAL.
AreaSRE
CourseSER-SPG-INPE-BR
Size3184 KiB
Number of Files1
Target Filepublicacao.pdf
Last Update2011:09.02.13.00.04 sid.inpe.br/banon/2001/04.06.10.52 simone
Metadata Last Update2020:01.21.15.07.33 sid.inpe.br/banon/2001/04.06.10.52 simone {D 1983}
Document Stagecompleted
Is the master or a copy?is the master
User GroupMalu administrator amandinha_cta@hotmail.com jefferson viveca@sid.inpe.br
Copy HolderSID/SCD
Visibilityshown
Transferable1
Host Collectionsid.inpe.br/banon/2001/04.06.10.52
Document Stagenot transferred
Copyright Repositoryurlib.net/www/2012/11.12.15.10
Rightsholderoriginalauthor yes
Read Permissionallow from all
Next Higher Units8JMKD3MGPCW/3F3NU5S
source Directory Content
Originais.zip 02/09/2011 09:56 16.1 MiB
publicacao.pdf 02/09/2011 09:55 3.1 MiB
agreement Directory Content
autorizacao.pdf 13/07/2011 10:54 287.5 KiB
History2005-07-18 21:41:34 :: administrator -> jefferson ::
2006-03-07 13:59:26 :: jefferson -> administrator ::
2006-08-24 19:38:04 :: administrator -> jefferson ::
2007-01-17 16:18:22 :: jefferson -> Malu ::
2007-02-12 16:08:04 :: Malu -> jefferson ::
2007-02-12 17:03:57 :: jefferson -> administrator ::
2007-02-16 20:01:53 :: administrator -> Malu ::
2007-02-16 20:14:14 :: Malu -> jefferson ::
2009-03-13 12:49:06 :: jefferson -> administrator ::
2009-07-08 20:33:54 :: administrator -> jefferson ::
2010-04-15 12:29:14 :: jefferson -> viveca@sid.inpe.br ::
2011-06-13 17:12:27 :: viveca@sid.inpe.br -> amandinha_cta@hotmail.com ::
2011-07-14 12:34:45 :: amandinha_cta@hotmail.com -> viveca@sid.inpe.br :: 1983
2011-08-23 20:29:58 :: viveca@sid.inpe.br -> amandinha_cta@hotmail.com :: 1983
2011-08-24 12:38:53 :: amandinha_cta@hotmail.com -> viveca@sid.inpe.br :: 1983
2011-09-01 19:35:58 :: viveca@sid.inpe.br -> amandinha_cta@hotmail.com :: 1983
2011-09-02 13:00:31 :: amandinha_cta@hotmail.com -> viveca@sid.inpe.br :: 1983
2011-09-02 14:34:14 :: viveca@sid.inpe.br -> administrator :: 1983
2018-12-14 17:19:24 :: administrator -> simone :: 1983
2018-12-14 17:21:42 :: simone -> administrator :: 1983
2019-02-04 13:03:29 :: administrator -> simone :: 1983
2020-01-21 15:07:33 :: simone -> :: 1983
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Access Date2020, Feb. 17

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