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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/GP3np
Repositorysid.inpe.br/iris@1912/2005/07.19.23.36.32
Last Update2023:04.06.16.08.20 (UTC) simone
Metadata Repositorysid.inpe.br/iris@1912/2005/07.19.23.36.46
Metadata Last Update2023:04.06.16.09.40 (UTC) simone
Secondary KeyINPE-5501-TDI/516
Label6558
Citation KeyAmaral:1992:ReDaSi
TitleImagens do sistema sensor AVHRR/NOAA na deteção e avaliação de desmatamentos na Floresta Amazônica: relações com dados do sistema TM/LANDSAT
Alternate TitleAVHRR/NOAA images to detect and quantify deforestation in Amazon Forest: relation with TM/LANDSAT data
CourseSER-SPG-INPE-MCT-BR
Year1992
Date1992-09-17
Access Date2024, Apr. 26
Thesis TypeDissertação (Mestrado em Sensoriamento Remoto)
Secondary TypeTDI
Number of Pages197
Number of Files2
Size3167 KiB
2. Context
AuthorAmaral, Silvana
GroupSER-SPG-INPE-MCT-BR
CommitteeSantos, João Roberto dos (presidente/orientador)
Setzer, Alberto Waingort (orientador)
Batista, Getúlio Teixeira
Assad, Eduardo Delgado
e-Mail Addresssilvana.amaral@inpe.br, silkampel@gmail.com
UniversityInstituto Nacional de Pesquisas Espaciais (INPE)
CitySao Jose dos Campos
History (UTC)2005-07-19 23:36:46 :: administrator -> jefferson ::
2007-01-17 17:38:11 :: jefferson -> Malu ::
2007-02-12 16:26:04 :: Malu -> jefferson ::
2007-02-13 14:28:57 :: jefferson -> administrator ::
2007-02-16 20:02:49 :: administrator -> Malu ::
2007-02-16 20:14:22 :: Malu -> jefferson ::
2008-09-16 17:59:24 :: jefferson -> administrator ::
2008-09-18 18:33:40 :: administrator -> jefferson ::
2008-09-22 16:50:15 :: jefferson -> administrator ::
2009-07-08 19:34:54 :: administrator -> jefferson ::
2010-07-07 18:50:21 :: jefferson -> marciana ::
2011-06-13 17:21:49 :: marciana -> amandinha_cta@hotmail.com :: 1992
2011-06-16 11:43:19 :: amandinha_cta@hotmail.com -> supervisor :: 1992
2011-06-16 11:50:13 :: supervisor -> amandinha_cta@hotmail.com :: 1992
2011-06-16 13:42:28 :: amandinha_cta@hotmail.com -> viveca@sid.inpe.br :: 1992
2011-06-20 13:01:54 :: viveca@sid.inpe.br -> amandinha_cta@hotmail.com :: 1992
2011-06-20 13:08:31 :: amandinha_cta@hotmail.com -> viveca@sid.inpe.br :: 1992
2011-07-05 12:01:51 :: viveca@sid.inpe.br -> amandinha_cta@hotmail.com :: 1992
2011-07-05 12:16:03 :: amandinha_cta@hotmail.com -> viveca@sid.inpe.br :: 1992
2011-08-19 20:01:25 :: viveca@sid.inpe.br -> administrator :: 1992
2011-08-22 13:29:47 :: administrator -> viveca@sid.inpe.br :: 1992
2011-08-22 13:42:31 :: viveca@sid.inpe.br -> administrator :: 1992
2019-02-04 13:40:09 :: administrator -> simone :: 1992
2019-02-04 13:45:29 :: simone -> administrator :: 1992
2019-02-18 17:04:05 :: administrator -> sergio :: 1992
2020-04-06 19:21:59 :: sergio -> simone :: 1992
2020-04-06 19:29:27 :: simone -> administrator :: 1992
2021-02-13 04:11:12 :: administrator -> simone :: 1992
2022-07-01 14:04:21 :: simone -> sergio :: 1992
2023-04-06 16:02:44 :: sergio -> simone :: 1992
2023-04-06 16:09:40 :: simone -> :: 1992
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Keywordsvegetação
Serra do Roncador (MT)
Floresta Amazônica
florestas
desmatamento
satélites NOAA
mapeador temático (Landsat)
satélites Landsat
Sistema de Informação Geográfica
calibração
SIG
radiômetro avançado de resolução muito alta
imagens Landsat
imagens NOAA
desflorestamento
estimativa
monitoramento
Advanced Very Resolution Radiometer (AVHRR)
deforestation
geometric rectification (imagery)
instrument errors
Landsat satellites
rain forest
statistical analysis
thematic mappers (Landsat)
calibration
geographic information sytems
AbstractEste trabalho avalia o uso de imagens AVHRR/NOAA para detecção e avaliação de desmatamento na Floresta Amazônica a partir de validação e calibração com imagens TM/LANDSAT. Desenvolveu-se uma metodologia piloto para região da Serra do Roncador-MT, onde o desmatamento e proveniente da instalação de projetos agropecuários de grande escala. Utilizou-se uma imagem AVHRR de 2 Km de resolução espacial, corrigida geometricamente, para classificação de áreas desmatadas e de floresta. A identificação destas classes, assim como a comparação dos resultados de área estimada na interpretação visual de imagens TM/LANDSAT, baseou-se no uso de Sistema Geográfico de Informação. Os resultados AVHRR de área de floresta e desmatamento foram comparados aos dados TM em analises estatísticas, onde obteve-se forte correlação e regressão linear entre eles (R2 = 0,93). A aplicação do modelo obtido na região de São José do Xingu, MT, de padrão de desmatamento semelhante a primeira área, mostrou-se apropriada com erros médios de 3% para área total de floresta. Os resultados obtidos permitiram indicar a banda 3 AVHRR para a detecção e monitoramento de alterações em áreas florestais. Dados TM/LANDSAT são necessários para calibração das estimativas de area. ABSTRACT: This work analyzes the use of AVHRR/NOAA images to detect and evaluate deforestation in the Amazon Forest using TM/Landsat images for validation and calibration of the results. A pilot methodology was developed for the region of "Serra do Roncador", MT, where deforestation is caused by large agriculture and cattle projects. An AVHRR image with spatial resolution of 2 km and geometrically corrected was used to classify areas of deforestation and forest. The identification of these classes and the comparison and validation of the area estimates with the visual interpretation of the TM/Landsat images were based and on the use of Geographical Information System. The results of forest and deforestation areas obtained from AVHRR were compared to TM data using statistical analyses and strong linear correlation and regression were found between the data sets (R2 = 0.93). An application of the model for the region of São José do Xingu, MT, with a deforestation pattern similar to that found in the first region, presented adequate results with average erros of 3% for the total forest area. The results corroborated the use of AVHRR band 3 to detect and monitor alterations in forestes areas. TM/Landsat data are necessary to calibrate estimates of areas.
AreaSRE
Arrangementurlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > Imagens do sistema...
doc Directory Contentaccess
source Directory Content
Originais.zip 05/07/2011 09:11 30.4 MiB
publicacao.pdf 01/07/2022 11:06 7.6 MiB
agreement Directory Content
5501- Silvana Amaral Kampel.pdf 15/06/2011 10:06 311.0 KiB 
TERMO DE DEPOSITO ASSINADO SILVANA AMARAL KAMPEL MESTRADO.pdf 01/07/2022 11:05 357.8 KiB 
4. Conditions of access and use
data URLhttp://urlib.net/ibi/6qtX3pFwXQZ3r59YD6/GP3np
zipped data URLhttp://urlib.net/zip/6qtX3pFwXQZ3r59YD6/GP3np
Languagept
Target Filepublicacao.pdf
User GroupMalu
administrator
amandinha_cta@hotmail.com
jefferson
sergio
simone
supervisor
viveca@sid.inpe.br
Visibilityshown
Copyright Licenseurlib.net/www/2012/11.12.15.10
Rightsholderoriginalauthor yes
Copy HolderSID/SCD
Read Permissionallow from all
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 creatorhistory descriptionlevel dissemination doi electronicmailaddress format isbn issn lineage mark mirrorrepository nextedition notes number orcid parameterlist parentrepositories previousedition previouslowerunit progress readergroup resumeid schedulinginformation secondarydate secondarymark session shorttitle sponsor subject tertiarymark tertiarytype url versiontype


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