Close

1. Identity statement
Reference TypeJournal Article
Sitemtc-m21c.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34R/43HUNA8
Repositorysid.inpe.br/mtc-m21c/2020/11.09.12.01
Last Update2020:11.09.12.01.18 (UTC) simone
Metadata Repositorysid.inpe.br/mtc-m21c/2020/11.09.12.01.18
Metadata Last Update2022:01.04.01.35.34 (UTC) administrator
DOI10.3390/rs12213512
ISSN2072-4292
Citation KeyWiederkehrGCBBSLSM:2020:DiFoSu
TitleDiscriminating forest successional stages, forest degradation, and land use in central Amazon using ALOS/PALSAR‐2 full‐polarimetric data
Year2020
MonthNov.
Access Date2024, May 19
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size10269 KiB
2. Context
Author1 Wiederkehr, Natália Cristina
2 Gama, Fábio Furlan
3 Castro, Paulo B. N.
4 Bispo, Polyanna da Conceição
5 Balzter, Heiko
6 Sano, Edson E.
7 Liesenberg, Veraldo
8 Santos, João Roberto dos
9 Mura, José Cláudio
Resume Identifier1
2 8JMKD3MGP5W/3C9JH3P
3
4
5
6
7
8 8JMKD3MGP5W/3C9JHF4
9 8JMKD3MGP5W/3C9JHGR
ORCID1 0000-0003-4002-0981
2 0000-0002-4585-5067
3
4 0000-0003-0247-8449
5 0000-0002-9053-4684
6
7 0000-0003-0564-7818
Group1 SER-SRE-SESPG-INPE-MCTIC-GOV-BR
2 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
3
4
5
6
7
8 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
9 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Universidade Federal de Ouro Preto (UFOP)
4 University of Manchester
5 University of Leicester
6 Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA)
7 Universidade do Estado de Santa Catarina (UDESC)
8 Instituto Nacional de Pesquisas Espaciais (INPE)
9 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 natalia.wiederkehr@inpe.br
2 fabio.furlan@inpe.br
3 paulo.castro@aluno.ufop.edu.br
4 polyanna.bispo@manchester.ac.uk
5 hb91@leicester.ac.uk
6 edson.sano@embrapa.br
7 veraldo.liesenberg@udesc.br
8 joao.roberto@inpe.br
9 jose.mura@inpe.br
JournalRemote Sensing
Volume12
Number21
Pages1-30
Secondary MarkB3_GEOGRAFIA B3_ENGENHARIAS_I B4_GEOCIÊNCIAS B4_CIÊNCIAS_AMBIENTAIS B5_CIÊNCIAS_AGRÁRIAS_I
History (UTC)2020-11-09 12:01:18 :: simone -> administrator ::
2020-11-09 12:01:20 :: administrator -> simone :: 2020
2020-11-09 12:04:10 :: simone -> administrator :: 2020
2022-01-04 01:35:34 :: administrator -> simone :: 2020
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsBrazil
Amazon
forest
land use
land cover
forest degradation
polarimetry
SAR
AbstractWe discriminated different successional forest stages, forest degradation, and land use classes in the Tapajós National Forest (TNF), located in the Central Brazilian Amazon. We used full polarimetric images from ALOS/PALSAR-2 that have not yet been tested for land use and land cover (LULC) classification, neither for forest degradation classification in the TNF. Our specific objectives were: (1) to test the potential of ALOS/PALSAR-2 full polarimetric images to discriminate LULC classes and forest degradation; (2) to determine the optimum subset of attributes to be used in LULC classification and forest degradation studies; and (3) to evaluate the performance of Random Forest (RF) and Support Vector Machine (SVM) supervised classifications to discriminate LULC classes and forest degradation. PALSAR-2 images from 2015 and 2016 were processed to generate Radar Vegetation Index, Canopy Structure Index, Volume Scattering Index, Biomass Index, and CloudePottier, van Zyl, FreemanDurden, and Yamaguchi polarimetric decompositions. To determine the optimum subset, we used principal component analysis in order to select the best attributes to discriminate the LULC classes and forest degradation, which were classified by RF. Based on the variable importance score, we selected the four first attributes for 2015, alpha, anisotropy, volumetric scattering, and double-bounce, and for 2016, entropy, anisotropy, surface scattering, and biomass index, subsequently classified by SVM. Individual backscattering indexes and polarimetric decompositions were also considered in both RF and SVM classifiers. Yamaguchi decomposition performed by RF presented the best results, with an overall accuracy (OA) of 76.9% and 83.3%, and Kappa index of 0.70 and 0.80 for 2015 and 2016, respectively. The optimum subset classified by RF showed an OA of 75.4% and 79.9%, and Kappa index of 0.68 and 0.76 for 2015 and 2016, respectively. RF exhibited superior performance in relation to SVM in both years. Polarimetric attributes exhibited an adequate capability to discriminate forest degradation and classes of different ecological succession from the ones with less vegetation cover.
AreaSRE
Arrangement 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Discriminating forest successional...
Arrangement 2urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > Discriminating forest successional...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
agreement.html 09/11/2020 09:01 1.0 KiB 
4. Conditions of access and use
data URLhttp://mtc-m21c.sid.inpe.br/ibi/8JMKD3MGP3W34R/43HUNA8
zipped data URLhttp://mtc-m21c.sid.inpe.br/zip/8JMKD3MGP3W34R/43HUNA8
Languageen
Target Fileremotesensing-12-03512-v2.pdf
User Groupsimone
Reader Groupadministrator
simone
Visibilityshown
Archiving Policyallowpublisher allowfinaldraft
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/3ER446E
8JMKD3MGPCW/3F3NU5S
Citing Item Listsid.inpe.br/mtc-m21/2012/07.13.14.51.50 4
sid.inpe.br/bibdigital/2013/10.18.22.34 2
sid.inpe.br/mtc-m21/2012/07.13.14.51.02 2
DisseminationWEBSCI; PORTALCAPES; MGA; COMPENDEX; SCOPUS.
Host Collectionurlib.net/www/2017/11.22.19.04
6. Notes
Empty Fieldsalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark mirrorrepository nextedition notes parameterlist parentrepositories previousedition previouslowerunit progress project readpermission rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url
7. Description control
e-Mail (login)simone
update 


Close