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1. Identity statement
Reference TypeJournal Article
Siteplutao.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W/3MTNFA2
Repositorysid.inpe.br/plutao/2016/12.05.21.45
Last Update2016:12.13.14.40.56 (UTC) lattes
Metadata Repositorysid.inpe.br/plutao/2016/12.05.21.45.29
Metadata Last Update2018:06.04.23.26.29 (UTC) administrator
DOI10.3390/rs8100839
ISSN2072-4292
Labellattes: 1913003589198061 3 SatoGSKA-BA:2016:PoChFo
Citation KeySatoGSKASBA:2016:PoChFo
TitlePost-fire changes in forest biomass retrieved by airborne LiDAR in Amazonia
Year2016
Access Date2024, Apr. 25
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size9180 KiB
2. Context
Author1 Sato, Luciane Yumie
2 Gomes, Vitor Conrado Faria
3 Shimabukuro, Yosio Edemir
4 Keller, Michael
5 Arai, Egídio
6 Santos, Maiza Nara dos
7 Brown, Irving Foster
8 Aragão, Luiz Eduardo Oliveira e Cruz de
Resume Identifier1
2
3 8JMKD3MGP5W/3C9JJCQ
4
5 8JMKD3MGP5W/3C9JGUP
Group1 SER-SRE-SPG-INPE-MCTI-GOV-BR
2
3 DSR-OBT-INPE-MCTI-GOV-BR
4
5 DSR-OBT-INPE-MCTI-GOV-BR
6
7
8 DSR-OBT-INPE-MCTI-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto de Estudos Avançados (IEAv)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 International Institute of Tropical Forestry
5 Instituto Nacional de Pesquisas Espaciais (INPE)
6 Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA)
7 Universidade Federal do Acre (UFAC)
8 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 luciane.sato@inpe.br
2 vitor@ieav.cta.br
3 yosio.shimabukuro@inpe.br
4 mkeller.co2@gmail.com
5 egidio.arai@inpe.br
6
7 fbrown@uol.com.br
8 laragao@dsr.inpe.br
JournalRemote Sensing
Volume8
Number10
Pages839
Secondary MarkB3_GEOGRAFIA B3_ENGENHARIAS_I B4_GEOCIÊNCIAS B4_CIÊNCIAS_AMBIENTAIS B5_CIÊNCIAS_AGRÁRIAS_I
History (UTC)2016-12-05 21:45:29 :: lattes -> administrator ::
2016-12-06 17:48:31 :: administrator -> lattes :: 2016
2016-12-13 14:40:56 :: lattes -> administrator :: 2016
2016-12-17 08:18:27 :: administrator -> lattes :: 2016
2016-12-22 16:32:38 :: lattes -> administrator :: 2016
2018-06-04 23:26:29 :: administrator -> simone :: 2016
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
Keywordslight detection and ranging
Amazon
aboveground biomass
tropical forest
fire
LiDAR
degradation
AbstractFire is one of the main factors directly impacting Amazonian forest biomass and dynamics. Because of Amazonias large geographical extent, remote sensing techniques are required for comprehensively assessing forest fire impacts at the landscape level. In this context, Light Detection and Ranging (LiDAR) stands out as a technology capable of retrieving direct measurements of vegetation vertical arrangement, which can be directly associated with aboveground biomass. This work aims, for the first time, to quantify post-fire changes in forest canopy height and biomass using airborne LiDAR in western Amazonia. For this, the present study evaluated four areas located in the state of Acre, called Rio Branco, Humaitá, Bonal and Talismã. Rio Branco and Humaitá burned in 2005 and Bonal and Talismã burned in 2010. In these areas, we inventoried a total of 25 plots (0.25 ha each) in 2014. Humaitá and Talismã are located in an open forest with bamboo and Bonal and Rio Branco are located in a dense forest. Our results showed that even ten years after the fire event, there was no complete recovery of the height and biomass of the burned areas (p < 0.05). The percentage difference in height between control and burned sites was 2.23% for Rio Branco, 9.26% for Humaitá, 10.03% for Talismã and 20.25% for Bonal. All burned sites had significantly lower biomass values than control sites. In Rio Branco (ten years after fire), Humaitá (nine years after fire), Bonal (four years after fire) and Talismã (five years after fire) biomass was 6.71%, 13.66%, 17.89% and 22.69% lower than control sites, respectively. The total amount of biomass lost for the studied sites was 16,706.3 Mg, with an average loss of 4176.6 Mg for sites burned in 2005 and 2890 Mg for sites burned in 2010, with an average loss of 3615 Mg. Fire impact associated with tree mortality was clearly detected using LiDAR data up to ten years after the fire event. This study indicates that fire disturbance in the Amazon region can cause persistent above-ground biomass loss and subsequent reduction of forest carbon stocks. Continuous monitoring of burned forests is required for depicting the long-term recovery trajectory of fire-affected Amazonian forests.
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doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGP3W/3MTNFA2
zipped data URLhttp://urlib.net/zip/8JMKD3MGP3W/3MTNFA2
Languageen
Target Filesato_post.pdf
User Grouplattes
Reader Groupadministrator
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Visibilityshown
Archiving Policyallowpublisher allowfinaldraft
Update Permissionnot transferred
5. Allied materials
Mirror Repositoryurlib.net/www/2011/03.29.20.55
Next Higher Units8JMKD3MGPCW/3ER446E
8JMKD3MGPCW/3F3NU5S
Citing Item Listsid.inpe.br/bibdigital/2013/10.18.22.34 2
DisseminationWEBSCI; PORTALCAPES; MGA; COMPENDEX; SCOPUS.
Host Collectiondpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notes
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