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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitemarte3.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier6qtX3pFwXQZ3r59YCT/H3FDf
Repositorysid.inpe.br/iris@1905/2005/08.03.23.33
Last Update2018:01.04.13.13.34 (UTC) marciana
Metadata Repositorysid.inpe.br/iris@1905/2005/08.03.23.33.31
Metadata Last Update2022:03.27.03.49.05 (UTC) administrator
Secondary KeyINPE-9314-PRE/4978
Label10233
Citation KeyCardosoHurMooNobSet:2002:FiStAn
TitleFieldwork and Statistical Analyses for Enhanced Interpretation on Satellite Fire Interannual variability of Soil moiture and Vegetation Biomass in Amazonian Cerrado
Year2002
Secondary Date20021106
Access Date2024, May 18
Secondary TypePRE CI
Number of Files1
Size24 KiB
2. Context
Author1 Cardoso, Manoel
2 Hurtt, George
3 Moore, Berrien
4 Nobre, Carlos Afonso
5 Setzer, Alberto Waingort
Group1 CPT-INPE-MCT-BR
2 LMO-INPE-MCT-BR
Conference NameInternational LBA Scientific Conference, 2.
Conference LocationManaus, Br
Date7-10 July 2002
History (UTC)2015-05-21 18:37:13 :: administrator -> marciana :: 2002
2018-01-04 13:13:35 :: marciana -> administrator :: 2002
2022-03-27 03:49:05 :: administrator -> marciana :: 2002
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
KeywordsMETEOROLOGIA
AbstractFieldwork and Statistical Analyses for Enhanced Interpretation of Satellite Fire Data Data from satellites are very important for providing information on vegetation fires worldwide. Despite of the broad spatial and temporal coverage, there are several factors that complicate the interpretation of these data. Examples of these factors include fires occurring at times different than the satellite overpasses, the presence of clouds, fires occurring under plant canopies, small fires, and very reflective surfaces. In order to enhance the interpretation of satellite fire data, we are in the process of collecting groundbased data on fires, and relating these data to corresponding information from satellite fire products. Ground-based data are collected using a simple and passive method that allows for a large sample size. One method for data analysis is the construction of error matrixes, which can provide statistics on inclusion (commission)and exclusion (omission)errors in satellite fire data. In this work we present results from fieldwork in areas close to Marabá, Brazil, where about 90 fires were observed during November 3 to 5, 2001. These results include fires position, time, size, type of vegetation burned, cloudcover, and statistics on inclusion and exclusion errors in related remote-sensing fire data. Preliminary analyses suggest that errors of omission are larger than errors of commission, and are dominated by satellite overpass times, cloud-coverage and fire size. Potential strategies to correct for these errors are discussed.
AreaMET
Arrangement 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > CGCPT > Fieldwork and Statistical...
Arrangement 2urlib.net > BDMCI > Fonds > Produção até 2016 > LMO > Fieldwork and Statistical...
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/6qtX3pFwXQZ3r59YCT/H3FDf
zipped data URLhttp://urlib.net/zip/6qtX3pFwXQZ3r59YCT/H3FDf
Target File9314.pdf
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Reader Groupadministrator
marciana
Visibilityshown
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Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/3EUPEJL
8JMKD3MGPCW/46JM77P
Citing Item Listsid.inpe.br/bibdigital/2013/10.06.18.03 2
Host Collectionsid.inpe.br/banon/2001/04.03.15.36
6. Notes
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