| 1. Identity statement | ||||
| Reference Type | Journal Article | |||
| Site | mtc-m21d.sid.inpe.br | |||
| Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S | |||
| Identifier | 8JMKD3MGP3W34T/46T538B | |||
| Repository | sid.inpe.br/mtc-m21d/2022/05.17.20.03 | |||
| Last Update | 2022:05.17.20.03.26 (UTC) simone | |||
| Metadata Repository | sid.inpe.br/mtc-m21d/2022/05.17.20.03.26 | |||
| Metadata Last Update | 2023:01.03.16.46.06 (UTC) administrator | |||
| DOI | 10.14393/rbcv74n1-61277 | |||
| ISSN | 0560-4613 1808-0936 | |||
| Citation Key | BelloliGuaKupRuiSim:2022:ClBaOb | |||
| Title | Classificacao Baseada em Objeto de Tipologias de Cobertura Vegetal em Area Úmida Integrando Imagens Opticas e SAR  | |||
| Year | 2022 | |||
| Month | Jan. | |||
| Access Date | 2024, May 19 | |||
| Type of Work | journal article | |||
| Secondary Type | PRE PN | |||
| Number of Files | 1 | |||
| Size | 1161 KiB | |||
| 2. Context | ||||
| Author | 1 Belloli, Tassia Fraga 2 Guasselli, Laurindo Antonio 3 Kuplich, Tatiana Mora 4 Ruiz, Luis Fernando Chimelo 5 Simioni, João Paulo Delapasse | |||
| Resume Identifier | 1 2 3 8JMKD3MGP5W/3C9JJ9P | |||
| ORCID | 1 0000-0001-6365-7796 2 0000-0001-8300-846X 3 0000-0003-0657-4024 4 0000-0003-3800-6902 5 0000-0001-7426-4584 | |||
| Group | 1 2 3 COESU-CGGO-INPE-MCTI-GOV-BR | |||
| Affiliation | 1 Universidade Federal do Rio Grande do Sul (UFRGS) 2 Universidade Federal do Rio Grande do Sul (UFRGS) 3 Instituto Nacional de Pesquisas Espaciais (INPE) 4 Santos Lab 5 Universidade Federal do Rio Grande do Sul (UFRGS) | |||
| Author e-Mail Address | 1 tassiabellolif@gmail.com 2 laurindo.guasselli@ufrgs.br 3 tkuplich@gmail.com 4 ruiz.ch@gmail.com 5 geojoaopaulo@gmail.com | |||
| Journal | Revista Brasileira de Cartografia | |||
| Volume | 74 | |||
| Number | 1 | |||
| Pages | 67-83 | |||
| Secondary Mark | A2_INTERDISCIPLINAR A2_GEOGRAFIA A2_ARQUITETURA_E_URBANISMO B1_PLANEJAMENTO_URBANO_E_REGIONAL_/_DEMOGRAFIA B1_CIÊNCIAS_AMBIENTAIS B2_GEOCIÊNCIAS B3_ENGENHARIAS_I B4_ENGENHARIAS_III B4_CIÊNCIAS_SOCIAIS_APLICADAS_I B5_ENGENHARIAS_IV B5_ENGENHARIAS_II B5_CIÊNCIAS_AGRÁRIAS_I B5_BIODIVERSIDADE C_ZOOTECNIA_/_RECURSOS_PESQUEIROS C_MATEMÁTICA_/_PROBABILIDADE_E_ESTATÍSTICA C_CIÊNCIAS_BIOLÓGICAS_I C_ASTRONOMIA_/_FÍSICA | |||
| History (UTC) | 2022-05-17 20:03:26 :: simone -> administrator :: 2022-05-17 20:03:28 :: administrator -> simone :: 2022 2022-05-17 20:04:06 :: simone -> administrator :: 2022 2023-01-03 16:46:06 :: administrator -> simone :: 2022 | |||
| 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 | OBIA Random Forest Sentinel-1 e 2A Vegetation mapping in marshes | |||
| Abstract | Accurately mapping the boundaries of wetlands and patterns of vegetation cover is an essential step for rapid assessment and management of wetlands. The Object-Based Image Analysis (OBIA) as from machine learning and fusion of optical and radar data has advantages over other techniques for mapping vegetation cover in wetlands ecosystems. This study aims to classify vegetation cover typologies in wetlands, integrating optical and SAR images from the Sentinel-1 and 2A satellites and the Random Forest algorithm in OBIA classification, using Banhado Grande, located in the Rio Grande do Sul as a case study. As a result, the VH and VV polarizations of Sentinel-1 obtained the highest relevance in the classification (18.6%). Among the optical bands, the greatest relevance occurred for the Red Edge and Medium Infrared bands. From the optical attributes, the classification obtained an accuracy of 86.2%. When the most important SAR attributes were inserted, the accuracy increased to 91.3%. The Emergent Macrophyte (ME) class, corresponding to the species Scirpus giganteus, achieved the best accuracy of the classifier (91%), with an estimated area of 1,507 ha. We conclude that the integration of images combined with the classification method made it possible to delimit the extent of vegetation typologies and the total area of the ecosystem. Accurate results show that this methodological approach can be expanded to other subtropical palustrine wetlands. | |||
| Area | SRE | |||
| Arrangement | urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGGO > Classificacao Baseada em... | |||
| doc Directory Content | access | |||
| source Directory Content | there are no files | |||
| agreement Directory Content |
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| 4. Conditions of access and use | ||||
| data URL | http://urlib.net/ibi/8JMKD3MGP3W34T/46T538B | |||
| zipped data URL | http://urlib.net/zip/8JMKD3MGP3W34T/46T538B | |||
| Language | pt | |||
| Target File | belloli_2022_classificação.pdf | |||
| User Group | simone | |||
| Reader Group | administrator simone | |||
| Visibility | shown | |||
| Archiving Policy | allowpublisher allowfinaldraft | |||
| Update Permission | not transferred | |||
| 5. Allied materials | ||||
| Next Higher Units | 8JMKD3MGPCW/46KUBT5 | |||
| Citing Item List | sid.inpe.br/bibdigital/2022/04.03.22.35 5 sid.inpe.br/mtc-m21/2012/07.13.15.00.48 1 | |||
| Dissemination | PORTALCAPES | |||
| Host Collection | urlib.net/www/2021/06.04.03.40 | |||
| 6. Notes | ||||
| Empty Fields | alternatejournal 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 | ||||