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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitemarte2.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP6W34M/3PSLT8F
Repositorysid.inpe.br/marte2/2017/10.27.13.13.34
Last Update2017:10.27.13.13.34 (UTC) banon
Metadata Repositorysid.inpe.br/marte2/2017/10.27.13.13.35
Metadata Last Update2018:06.06.03.07.31 (UTC) administrator
ISBN978-85-17-00088-1
Label59285
Citation KeyNogueiraRuffChuvMoui:2017:EvFiPa
TitleGlobal burned area products from remote sensing: an evaluation of fire patch metrics for regional applications in Brazil
FormatInternet
Year2017
Access Date2024, May 07
Secondary TypePRE CN
Number of Files1
Size2352 KiB
2. Context
Author1 Nogueira, Joana Messias Pereira
2 Ruffault, Julien
3 Chuvieco, Emilio
4 Mouillot, Florent
Author e-Mail Address1 joananog@yahoo.com.br
EditorGherardi, Douglas Francisco Marcolino
Aragão, Luiz Eduardo Oliveira e Cruz de
e-Mail Addressdaniela.seki@inpe.br
Conference NameSimpósio Brasileiro de Sensoriamento Remoto, 18 (SBSR)
Conference LocationSantos
Date28-31 maio 2017
PublisherInstituto Nacional de Pesquisas Espaciais (INPE)
Publisher CitySão José dos Campos
Pages3592-3599
Book TitleAnais
OrganizationInstituto Nacional de Pesquisas Espaciais (INPE)
History (UTC)2017-10-27 13:13:35 :: banon -> administrator ::
2018-06-06 03:07:31 :: administrator -> banon :: 2017
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
AbstractGlobal burned area (BA) datasets from remote sensing provide fruitful information for carbon emissions and for Dynamic Global Vegetation Models (DGVM) benchmarking. Patch level analysis recently emerged as an additional informative feature of the fire regime. We evaluated a step further the ability of global BA products to accurately represent fire patch features, in the fire-prone Brazilian savannas. We used the pixel-level burned area from LANDSAT, MODIS MCD45A1 and the European Space Agency (ESA) fire Climate Change Initiative (FIRE_CCI) for the period 2002-2009 to identify individual fire patches that we compared by linear regressions. Correlations between patch areas showed R2>0.6 for all comparisons, with a slope of 0.99 between FIRE_CCI and MCD45A1 but a lower slope (0.6 - 0.8) when compared to the LANDSAT data. Shape complexity was less correlated (R2 = 0.5) between global products, and R2=0.2 between global products and the LANDSAT data, due to coarser resolution. For the morphological features of the ellipse fitted over fire patches, R2 reached 0.6 for the ellipses eccentricity and varied from 0.4 to 0.8 for its azimuthal directional angle. We conclude that global BA products underestimate BA due to missing small fires, but also underestimate patch areas. Patch complexity is the least correlated variable, but ellipse features appear to be reliable information to be further used for quality product assessment, global pyrogeography or DGVM benchmarking.
AreaSRE
TypeGeoprocessamento e aplicações
Arrangement 1urlib.net > BDMCI > Fonds > SBSR > SBSR 18 > Global burned area...
Arrangement 2urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > SBSR 18 > Global burned area...
Arrangement 3Projeto Memória 60... > Livros e livros editados > SBSR 18 > Global burned area...
doc Directory Contentaccess
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGP6W34M/3PSLT8F
zipped data URLhttp://urlib.net/zip/8JMKD3MGP6W34M/3PSLT8F
Languageen
Target File59285.pdf
User Groupbanon
Visibilityshown
5. Allied materials
Mirror Repositoryurlib.net/www/2011/03.29.20.55
Next Higher Units8JMKD3MGP6W34M/3PMFNUS
Citing Item Listsid.inpe.br/marte2/2017/09.25.14.55 6
Host Collectiondpi.inpe.br/marte2/2013/05.17.15.03.06
6. Notes
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