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1. Identity statement
Reference TypeJournal Article
Sitemtc-m21d.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34T/4B3DB9H
Repositorysid.inpe.br/mtc-m21d/2024/04.01.11.31   (restricted access)
Last Update2024:04.01.11.31.40 (UTC) simone
Metadata Repositorysid.inpe.br/mtc-m21d/2024/04.01.11.31.40
Metadata Last Update2024:04.16.07.47.56 (UTC) administrator
DOI10.3390/fire7030067
ISSN2571-6255
Citation KeyFerroMADMSPOA:2024:ReAsBu
TitleRegional-Scale Assessment of Burn Scar Mapping in Southwestern Amazonia Using Burned Area Products and CBERS/WFI Data Cubes
Year2024
MonthMar.
Access Date2024, May 07
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size16403 KiB
2. Context
Author1 Ferro, Poliana Domingos
2 Mataveli, Guilherme Augusto Verola
3 Arcanjo, Jeferson de Souza
4 Dutra, Débora Joana
5 Medeiros, Thaís Pereira de
6 Shimabukuro, Yosio Edemir
7 Pessôa, Ana Carolina Moreira
8 Oliveira, Gabriel de
9 Anderson, Liana Oighenstein
Resume Identifier1
2
3
4
5
6 8JMKD3MGP5W/3C9JJCQ
ORCID1
2 0000-0002-4645-0117
3
4 0000-0003-3748-5622
5 0000-0003-0342-4039
6 0000-0002-1469-8433
7
8 0000-0002-1940-6874
9 0000-0001-9545-5136
Group1 SER-SRE-DIPGR-INPE-MCTI-GOV-BR
2 DIOTG-CGCT-INPE-MCTI-GOV-BR
3 DIOTG-CGCT-INPE-MCTI-GOV-BR
4
5 SER-SRE-DIPGR-INPE-MCTI-GOV-BR
6 DIOTG-CGCT-INPE-MCTI-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Centro Nacional de Monitoramento e Alertas de Desastres Naturais (CEMADEN)
5 Instituto Nacional de Pesquisas Espaciais (INPE)
6 Instituto Nacional de Pesquisas Espaciais (INPE)
7 Instituto de Pesquisa Ambiental da Amazônia (IPAM)
8 University of South Alabama
9 Centro Nacional de Monitoramento e Alertas de Desastres Naturais
Author e-Mail Address1 poliana.ferro@inpe.br
2 guilherme.mataveli@inpe.br
3 jeferson.arcanjo@inpe.br
4 debora.dutra@cemaden.gov.br
5 thais.pereira@inpe.br
6 yosio.shimabukuro@inpe.br
7 ana.pessoa@ipam.org.br
8 deoliveira@southalabama.edu
9 liana.anderson@cemaden.gov.br
JournalFire
Volume7
Number3
Pagese67
History (UTC)2024-04-01 11:32:55 :: simone -> administrator :: 2024
2024-04-16 07:47:56 :: administrator -> simone :: 2024
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsAmazon
burned area
CBERS
data cubes
linear spectral mixture model
regional assessment
AbstractFires are one of the main sources of disturbance in fire-sensitive ecosystems such as the Amazon. Any attempt to characterize their impacts and establish actions aimed at combating these events presupposes the correct identification of the affected areas. However, accurate mapping of burned areas in humid tropical forest regions remains a challenging task. In this paper, we evaluate the performance of four operational BA products (MCD64A1, Fire_cci, GABAM and MapBiomas Fogo) on a regional scale in the southwestern Amazon and propose a new approach to BA mapping using fraction images extracted from data cubes of the Brazilian orbital sensors CBERS-4/WFI and CBERS-4A/WFI. The methodology for detecting burned areas consisted of applying the Linear Spectral Mixture Model to the images from the CBERS-4/WFI and CBERS-4A/WFI data cubes to generate shadow fraction images, which were then segmented and classified using the ISOSEG non-supervised algorithm. Regression and similarity analyses based on regular grid cells were carried out to compare the BA mappings. The results showed large discrepancies between the mappings in terms of total area burned, land use and land cover affected (forest and non-forest) and spatial location of the burned area. The global products MCD64A1, GABAM and Fire_cci tended to underestimate the area burned in the region, with Fire_cci underestimating BA by 88%, while the regional product MapBiomas Fogo was the closest to the reference, underestimating by only 7%. The burned area estimated by the method proposed in this work (337.5 km2) was 12% higher than the reference and showed a small difference in relation to the MapBiomas Fogo product (18% more BA). These differences can be explained by the different datasets and methods used to detect burned areas. The adoption of global products in regional studies can be critical in underestimating the total area burned in sensitive regions. Our study highlights the need to develop approaches aimed at improving the accuracy of current global products, and the development of regional burned area products may be more suitable for this purpose. Our proposed approach based on WFI data cubes has shown high potential for generating more accurate regional burned area maps, which can refine BA estimates in the Amazon.
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Arrangement 2urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > Regional-Scale Assessment of...
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4. Conditions of access and use
Languageen
Target Filefire-07-00067-v2.pdf
User Groupsimone
Reader Groupadministrator
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Visibilityshown
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Mirror Repositoryurlib.net/www/2021/06.04.03.40.25
Next Higher Units8JMKD3MGPCW/3F3NU5S
8JMKD3MGPCW/46KUATE
Citing Item Listsid.inpe.br/bibdigital/2022/04.03.22.23 2
DisseminationPORTALCAPES
Host Collectionurlib.net/www/2021/06.04.03.40
6. Notes
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