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1. Identity statement
Reference TypeJournal Article
Sitemtc-m16b.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Repositorysid.inpe.br/iris@1915/2005/08.17.11.41   (restricted access)
Last Update2005:08.17.03.00.00 (UTC) administrator
Metadata Repositorysid.inpe.br/iris@1915/2005/08.17.11.41.18
Metadata Last Update2022:03.26.18.00.36 (UTC) administrator
Secondary KeyINPE-13490-PRE/8703
ISSN0034-4257
Citation KeyCardosoHurMooNobBai:2005:FiWoSt
TitleField work and statistical analyses for enhanced interpretation of satellite fire data
Year2005
Secondary Date20050818
MonthMay
Access Date2024, May 18
Secondary TypePRE PI
Number of Files1
Size564 KiB
2. Context
Author1 Cardoso, Manoel F.
2 Hurtta, George C.
3 Moore, Berrien
4 Nobre, Carlos Afonso
5 Baina, Heather
Resume Identifier1
2
3
4 8JMKD3MGP5W/3C9JGQ7
Group1 DMA-INPE-MCT-BR
2 DMA-INPE-MCT-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Centro de Previsao de Tempo e Estudos Climaticos (CPTEC)
e-Mail Addressatus@cptec.inpe.br
JournalRemote Sensing of Environment
Volume96
Number2
Pages212-227
History (UTC)2006-02-09 15:43:57 :: fabia -> administrator ::
2008-06-10 19:52:02 :: administrator -> estagiario ::
2010-05-11 16:56:08 :: estagiario -> administrator ::
2011-10-31 11:08:24 :: administrator -> marciana ::
2011-10-31 11:09:28 :: marciana -> administrator :: 2005
2022-03-26 18:00:36 :: administrator -> marciana :: 2005
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
Keywordsremotely sensed data
boreal forst-fires
nutrient pools
detection algoritms
Brasilian Amazon
accuracy assessment
rain-forests
scar-B
biomass
dynamics
AbstractBecause their broad spatial and temporal coverage, satellites provide the main source of fire data for Amazonia. A key to the application of these tools for environmental studies is the appropriate interpretation of the data they provide. To enhance the interpretation of satellite fire data for this region, we collected ground-based data on fires in 2001 and 2002 using a simple and passive method, and statistically related these data to corresponding estimates from AVHRR and MODIS fire products using error matrices. Multiple methods of analyses from simple to complex produced qualitatively similar results. Total accuracies for both fire products were very high (> 99%) and dominated by accurate (> 99%) non-fire detection. Kappa statistics and fire-detection accuracies were substantially lower, with omission errors higher than commission errors. Results calculated using several different sets of spatial-matching parameters of analysis showed that Kappa was 1-10.6% for AVHRR, and 0-1.4% for MODIS. User's accuracy for fires was 0-40% for AVHRR and 3-100% for MODIS. Producer's accuracy for fires was 0-8% for AVHRR and 0-1% for MODIS. Statistical evaluations of potential explanatory factors showed that fire size and sampling time were dominant factors for low accuracies. Results from this study indicate that current satellite fire products are providing a limited sample of the fire activity in the region, and that ground-based analyses can substantially contribute to the interpretation of these products. (c) 2005 Elsevier Inc. All rights reserved.
AreaSRE
Arrangementurlib.net > BDMCI > Fonds > Produção até 2016 > DMA > Field work and...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
Languageen
Target FileCardoso_Field work and.pdf
User Groupadministrator
fabia
marciana
Visibilityshown
Copy HolderSID/SCD
Archiving Policydenypublisher allowfinaldraft24
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/46JKC45
DisseminationWEBSCI; PORTALCAPES; MGA; COMPENDEX.
Host Collectioncptec.inpe.br/walmeida/2003/04.25.17.12
6. Notes
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7. Description control
e-Mail (login)marciana
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