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1. Identity statement
Reference TypeJournal Article
Siteplutao.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
IdentifierJ8LNKAN8RW/3C642DK
Repositorydpi.inpe.br/plutao/2012/06.21.20.23.23   (restricted access)
Last Update2012:08.10.16.24.51 (UTC) administrator
Metadata Repositorydpi.inpe.br/plutao/2012/06.21.20.23.24
Metadata Last Update2018:06.05.00.01.47 (UTC) administrator
DOI10.1080/01431161.2011.641511
ISSN2150-704X
Labellattes: 7815447718388328 1 PereiraKampCunh:2012:MaMaFo
Citation KeyPereiraKampCunh:2012:MaMaFo
TitleMapping of mangrove forests on the southern coast of São Paulo, Brazil, using synthetic aperture radar data from ALOS/PALSAR
Year2012
MonthDec.
Access Date2024, May 19
Secondary TypePRE PI
Number of Files1
Size628 KiB
2. Context
Author1 Pereira, Francisca Rocha de Souza
2 Kampel, Milton
3 Cunha-Lignon, Marilia
Resume Identifier1
2 8JMKD3MGP5W/3C9JHTG
Group1 DSR-OBT-INPE-MCTI-GOV-BR
2 DSR-OBT-INPE-MCTI-GOV-BR
3 DSR-OBT-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)
Author e-Mail Address1 franrspereira@gmail.com
e-Mail Addressfranrspereira@gmail.com
JournalRemote Sensing Letters
Volume3
Number7
Pages567-576
History (UTC)2012-06-22 00:11:00 :: lattes -> secretaria.cpa@dir.inpe.br :: 2012
2012-12-21 18:01:14 :: secretaria.cpa@dir.inpe.br -> administrator :: 2012
2018-06-05 00:01:47 :: administrator -> marciana :: 2012
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsCoastal engineering - Coastal zones - Forestry - Mapping - Remote sensing
AbstractWidespread in the coastal zones of (sub)tropical regions, mangroves are an essential habitat for many animal species and provide subsistence resources for many human coastal communities. Among remote sensing techniques, synthetic aperture radar is a particularly advantageous method to monitor mangroves: images are not dependent on cloud cover and can provide information from forest understory. This article mapped mangrove forests in the southern coast of São Paulo State (Brazil) using frequency-based contextual classification of incoherent attributes derived from a multi-polarized Phased Array L-Band Synthetic Aperture Radar (PALSAR) image. The use of 10 incoherent attributes and only 3 Synthetic Aperture Radar (SAR) vegetation indices as input for digital classification showed the best accuracies with kappa index values of 0.739 and 0.734, respectively. HH polarization and SAR vegetation indices were the attributes that contributed most to the mangrove mapping procedure. The use of L-Band SAR data was effective for mapping mangrove areas, and therefore it is recommended as a tool for coastal management.
AreaSRE
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Mapping of mangrove...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
Languageen
Target FilePereira_FRS.pdf
User Groupadministrator
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secretaria.cpa@dir.inpe.br
Reader Groupadministrator
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Visibilityshown
Archiving Policydenypublisher denyfinaldraft12
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/3ER446E
Citing Item Listsid.inpe.br/mtc-m21/2012/07.13.14.56.38 1
URL (untrusted data)http://dx.doi.org/10.1080/01431161.2011.641511
DisseminationWEBSCI; COMPENDEX.
Host Collectiondpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notes
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7. Description control
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