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1. Identity statement
Reference TypeJournal Article
Sitemtc-m21d.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34T/44UN888
Repositorysid.inpe.br/mtc-m21d/2021/06.29.18.01
Last Update2021:06.29.18.01.01 (UTC) simone
Metadata Repositorysid.inpe.br/mtc-m21d/2021/06.29.18.01.01
Metadata Last Update2022:04.03.22.27.24 (UTC) administrator
DOI10.3390/rs13122238
ISSN2072-4292
Citation KeyZhangHagaSilvLiu:2021:FoCaCh
TitleForest canopy changes in the southern amazon during the 2019 fire season based on passive microwave and optical satellite observations
Year2021
MonthJune
Access Date2024, May 19
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size3563 KiB
2. Context
Author1 Zhang, Huixiang
2 Hagan, Daniel Fiifi Tawia
3 Silva, Ricardo Dal'Agnol da
4 Liu, Yi
ORCID1
2 0000-0003-3501-9783
3 0000-0002-7151-8697
4 0000-0001-9059-8269
Group1
2
3 DIOTG-CGCT-INPE-MCTI-GOV-BR
Affiliation1 Nanjing University of Information Science and Technology
2 Nanjing University of Information Science and Technology
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Nanjing University of Information Science and Technology
Author e-Mail Address1 h.x.zhang@nuist.edu.cn
2 dans7messiah@nuist.edu.cn
3 ricds@hotmail.com
4 yi.liu@nuist.edu.cn
JournalRemote Sensing
Volume13
Number12
Pagese2238
Secondary MarkB3_GEOGRAFIA B3_ENGENHARIAS_I B4_GEOCIÊNCIAS B4_CIÊNCIAS_AMBIENTAIS B5_CIÊNCIAS_AGRÁRIAS_I
History (UTC)2021-06-29 18:01:01 :: simone -> administrator ::
2021-06-29 18:01:02 :: administrator -> simone :: 2021
2021-06-29 18:03:22 :: simone -> administrator :: 2021
2022-04-03 22:27:24 :: administrator -> simone :: 2021
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsCanopy changes
Fire
Optical indices
The Amazon
Vegetation optical depth
AbstractCanopy dynamics associated with fires in tropical forests play a critical role in the terrestrial carbon cycle and climate feedbacks. The aim of this study was to characterize forest canopy dynamics in the southern Amazon during the 2019 fire season (JulyOctober) using passive microwave-based vegetation optical depth (VOD) and three optical-based indices. First, we found that precipitation during JulyOctober 2019 was close to the climatic means, suggesting that there were no extreme hydrometeorological events in 2019 and that fire was the dominant factor causing forest canopy anomalies. Second, based on the active fire product (MCD14ML), the total number of active fires over each grid cell was calculated for each month. The number of active fires during the fire season in 2019 was above average, particularly in August and September. Third, we compared the anomalies of VOD and optical-based indices (the normalized difference vegetation index (NDVI), the enhanced vegetation index (EVI), and the normalized burn ratio (NBR)) against the spatiotemporal distribution of fires during JulyOctober 2019. Spatially, the location with a concentrated distribution of significant negative VOD anomalies was matched with the grid cells with fire activities, whereas the concentrated distribution of strong negative anomalies in optical-based indices were found in both burned and unburned grid cells. When we focused on the temporal pattern over the grid cells with fire activity, the VOD and the optical-based indices behaved similarly from July to October 2019, i.e., the magnitude of negative anomalies became stronger with increased fire occurrences and reached the peak of negative anomalies in September before decreasing in October. A discrepancy was observed in the magnitude of negative anomalies of the optical-based indices and the VOD; the magnitude of optical-based indices was larger than the VOD in AugustSeptember and recovered much faster than the VOD over the grid cells with relatively low fire activity in October. The most likely reason for their different responses is that the VOD represents the dynamics of both photosynthetic (leaf) and nonphotosynthetic (branches) biomass, whereas optical-based indices are only sensitive to photosynthetic (leaf) active biomass, which recovers faster. Our results demonstrate that VOD can detect the spatiotemporal of canopy dynamics caused by fire and postfire canopy biomass recovery over high-biomass rainforest, which enables more comprehensive assessments, together with classic optical remote sensing approaches.
AreaSRE
Arrangementurlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > Forest canopy changes...
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGP3W34T/44UN888
zipped data URLhttp://urlib.net/zip/8JMKD3MGP3W34T/44UN888
Languageen
Target Filezhang_forest.pdf
User Groupsimone
Reader Groupadministrator
simone
Visibilityshown
Archiving Policyallowpublisher allowfinaldraft
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/46KUATE
DisseminationWEBSCI; PORTALCAPES; MGA; COMPENDEX; SCOPUS.
Host Collectionurlib.net/www/2021/06.04.03.40
6. Notes
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