1. Identity statement | |
Reference Type | Thesis or Dissertation (Thesis) |
Site | mtc-m12.sid.inpe.br |
Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identifier | 6qtX3pFwXQZ3r59YD6/GP3np |
Repository | sid.inpe.br/iris@1912/2005/07.19.23.36.32 |
Last Update | 2023:04.06.16.08.20 (UTC) simone |
Metadata Repository | sid.inpe.br/iris@1912/2005/07.19.23.36.46 |
Metadata Last Update | 2023:04.06.16.09.40 (UTC) simone |
Secondary Key | INPE-5501-TDI/516 |
Label | 6558 |
Citation Key | Amaral:1992:ReDaSi |
Title | Imagens do sistema sensor AVHRR/NOAA na deteção e avaliação de desmatamentos na Floresta Amazônica: relações com dados do sistema TM/LANDSAT |
Alternate Title | AVHRR/NOAA images to detect and quantify deforestation in Amazon Forest: relation with TM/LANDSAT data |
Course | SER-SPG-INPE-MCT-BR |
Year | 1992 |
Date | 1992-09-17 |
Access Date | 2024, Apr. 26 |
Thesis Type | Dissertação (Mestrado em Sensoriamento Remoto) |
Secondary Type | TDI |
Number of Pages | 197 |
Number of Files | 2 |
Size | 3167 KiB |
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2. Context | |
Author | Amaral, Silvana |
Group | SER-SPG-INPE-MCT-BR |
Committee | Santos, João Roberto dos (presidente/orientador) Setzer, Alberto Waingort (orientador) Batista, Getúlio Teixeira Assad, Eduardo Delgado |
e-Mail Address | silvana.amaral@inpe.br, silkampel@gmail.com |
University | Instituto Nacional de Pesquisas Espaciais (INPE) |
City | Sao 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 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Keywords | vegetação 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 |
Abstract | Este 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. |
Area | SRE |
Arrangement | urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > Imagens do sistema... |
doc Directory Content | access |
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 | |
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4. Conditions of access and use | |
data URL | http://urlib.net/ibi/6qtX3pFwXQZ3r59YD6/GP3np |
zipped data URL | http://urlib.net/zip/6qtX3pFwXQZ3r59YD6/GP3np |
Language | pt |
Target File | publicacao.pdf |
User Group | Malu administrator amandinha_cta@hotmail.com jefferson sergio simone supervisor viveca@sid.inpe.br |
Visibility | shown |
Copyright License | urlib.net/www/2012/11.12.15.10 |
Rightsholder | originalauthor yes |
Copy Holder | SID/SCD |
Read Permission | allow from all |
Update Permission | not transferred |
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5. Allied materials | |
Next Higher Units | 8JMKD3MGPCW/3F3NU5S |
Host Collection | sid.inpe.br/banon/2001/04.06.10.52 |
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6. Notes | |
Empty Fields | academicdepartment 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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