1. Identity statement | |
Reference Type | Journal Article |
Site | mtc-m21b.sid.inpe.br |
Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identifier | 8JMKD3MGP3W34P/3L9LHFL |
Repository | sid.inpe.br/mtc-m21b/2016/03.03.16.15 (restricted access) |
Last Update | 2016:07.04.17.59.37 (UTC) simone |
Metadata Repository | sid.inpe.br/mtc-m21b/2016/03.03.16.15.29 |
Metadata Last Update | 2020:12.31.02.07.48 (UTC) administrator |
DOI | 10.1016/j.rse.2015.12.013 |
ISSN | 0034-4257 |
Citation Key | FurtadoSilvNovo:2016:DuFuC |
Title | Dual-season and full-polarimetric C band SAR assessment for vegetation mapping in the Amazon varzea wetlands |
Year | 2016 |
Month | Mar. |
Access Date | 2024, May 18 |
Type of Work | journal article |
Secondary Type | PRE PI |
Number of Files | 1 |
Size | 2147 KiB |
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2. Context | |
Author | 1 Furtado, Luiz Felipe de Almeida 2 Silva, Thiago Sanna Freire 3 Novo, Evlyn Márcia Leão de Moraes |
Resume Identifier | 1 2 3 8JMKD3MGP5W/3C9JH39 |
Group | 1 DSR-OBT-INPE-MCTI-GOV-BR 2 3 DSR-OBT-INPE-MCTI-GOV-BR |
Affiliation | 1 Instituto Nacional de Pesquisas Espaciais (INPE) 2 Universidade Estadual Paulista (UNESP) 3 Instituto Nacional de Pesquisas Espaciais (INPE) |
Author e-Mail Address | 1 furtadosere@gmail.com 2 3 evlyn.novo@inpe.br |
Journal | Remote Sensing of Environment |
Volume | 174 |
Pages | 212-222 |
Secondary Mark | A1_INTERDISCIPLINAR A1_GEOCIÊNCIAS A1_ENGENHARIAS_I A1_CIÊNCIAS_BIOLÓGICAS_I A1_CIÊNCIAS_AMBIENTAIS A1_CIÊNCIAS_AGRÁRIAS_I A1_BIODIVERSIDADE |
History (UTC) | 2016-03-03 16:15:29 :: simone -> administrator :: 2016-07-04 12:29:58 :: administrator -> simone :: 2016 2016-07-04 17:59:37 :: simone -> administrator :: 2016 2020-12-31 02:07:48 :: administrator -> simone :: 2016 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Content Type | External Contribution |
Version Type | publisher |
Keywords | PoISAR Wetlands Polarimetric decomposition Multitemporal Mapping accuracy |
Abstract | This study answered the following questions: 1) Is polarimetric C-band SAR (PoISAR) more efficient than dual polarization (dual-pol) C-band SAR for mapping varzea floodplain vegetation types, when using images of a single hydrological period? 2) Are single-season C-band PoISAR images more accurate for mapping varzea vegetation types than dual-season dual-pol C-band SAR images? 3) What are the most efficient polarimetric descriptors for mapping varzea vegetation types? We applied the Random Forests algorithm to classify dual-pol SAR images and polarimetric descriptois derived from two full-polarimetric Radarsat-2 C-band images acquired during the low and high water seasons of Lago Grande de Curuai floodplain, lower Amazon, Brazil. We used the Kappa index of agreement (kappa), Allocation Disagreement (AD) and Quantity Disagreement (QD), and Producer's and User's accuracy measurements to assess the classification results. Our results showed that single-season full-polarimetric C-band data can yield more accurate classifications than single-season dual-pol C-band SAR imagery and similar accuracies to dual-season dual-pol C-band SAR classifications. Still, dual season PoISAR achieved the highest accuracies, showing that seasonality is paramount for obtaining high accuracies in wetland land cover classification, regardless of SAR image type. On average, single-season classifications of low-water periods were less accurate than high-water classifications, likely due to plant phenology and flooding conditions. Classifications using model-based polarimetric decompositions (such as Freeman-Durden, Yamaguchi and van Zyl) produced the highest accuracies (kappa greater than 0.8; AD ranging from 7.5% to 2.5%; QD ranging from 15% to 12%), while eigenvector-based decompositions such as Touzi and Cloude-Pottier had the worst accuracies (kappa ranging from 0.5 to 0.7; AD greater than 10%; QD smaller than 10%). Vegetation types with dense canopies (Shrubs, Floodable Forests and Emergent Macrophytes), whose classification is challenging using C-band, were accurately classified using dual-season full-polarimetric SAR data, with Producer's and User's accuracies between 80% and 90%. We conclude that full polarimetric C-band imagery can yield very accurate classifications of varzea vegetation (kappa similar to 0.8, AD similar to 3% and QD similar to 10%) and can be used as an operational tool for forested wetland mapping. |
Area | SRE |
Arrangement | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Dual-season and full-polarimetric... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | |
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4. Conditions of access and use | |
Language | en |
Target File | 1_furtado_dual.pdf |
User Group | simone |
Reader Group | administrator simone |
Visibility | shown |
Archiving Policy | denypublisher allowfinaldraft24 |
Read Permission | deny from all and allow from 150.163 |
Update Permission | not transferred |
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5. Allied materials | |
Mirror Repository | urlib.net/www/2011/03.29.20.55 |
Next Higher Units | 8JMKD3MGPCW/3ER446E |
Citing Item List | sid.inpe.br/bibdigital/2013/09.13.21.11 3 sid.inpe.br/mtc-m21/2012/07.13.14.45.43 1 |
Dissemination | WEBSCI; PORTALCAPES; MGA; COMPENDEX; SCOPUS. |
Host Collection | sid.inpe.br/mtc-m21b/2013/09.26.14.25.20 |
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6. Notes | |
Empty Fields | alternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark nextedition notes number orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url |
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7. Description control | |
e-Mail (login) | simone |
update | |
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