| 1. Identificação | ||||
| Tipo de Referência | Artigo em Revista Científica (Journal Article) | |||
| Código do Detentor | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S | |||
| Site | mtc-m21c.sid.inpe.br (namespace prefix: upn:3Q3U5H8) | |||
| Identificador | 8JMKD3MGP3W34R/42J6UD5 | |||
| Repositório | sid.inpe.br/mtc-m21c/2020/05.28.14.47 (acesso restrito) | |||
| Última Atualização | 2020:05.28.14.47.16 (UTC) simone | |||
| Repositório de Metadados | sid.inpe.br/mtc-m21c/2020/05.28.14.47.16 | |||
| Última Atualização dos Metadados | 2022:01.04.01.35.10 (UTC) administrator | |||
| DOI | 10.1016/j.geomorph.2019.106934 | |||
| ISSN | 0169-555X | |||
| Chave de Citação | GuimarãesGaloNarvSilv:2020:CoTeDa | |||
| Título | Cosmo-SkyMed and TerraSAR-X datasets for geomorphological mapping in the eastern of Marajo Island, Amazon coast  | |||
| Ano | 2020 | |||
| Mês | Feb. | |||
| Data de Acesso | 15 ago. 2026 | |||
| Tipo de Trabalho | journal article | |||
| Tipo Secundário | PRE PI | |||
| Número de Arquivos | 1 | |||
| Tamanho | 6937 KiB | |||
| 2. Contextualização | ||||
| Autor | 1 Guimarães, Ulisses Silva 2 Galo, Maria de Lourdes Bueno Trindade 3 Narvaes, Igor da Silva 4 Silva, Arnaldo de Queiroz | |||
| Grupo | 1 2 3 CRCRA-COCRE-INPE-MCTIC-GOV-BR | |||
| Afiliação | 1 Sistema de Proteção da Amazônia (SIPAM) 2 Universidade Estadual Paulista (UNESP) 3 Instituto Nacional de Pesquisas Espaciais (INPE) 4 Universidade Federal do Pará (UFPA) | |||
| Endereço de e-Mail do Autor | 1 ulisses.silva@sipam.gov.br 2 trindade.galo@unesp.br 3 igor.narvaes@inpe.br 4 arnaldoq@ufpa.br | |||
| Revista | Geomorphology | |||
| Volume | 350 | |||
| Páginas | UNSP 106934 | |||
| Nota Secundária | A1_INTERDISCIPLINAR A1_GEOGRAFIA A1_GEOCIÊNCIAS A1_ENGENHARIAS_I A1_CIÊNCIAS_AGRÁRIAS_I A2_ENGENHARIAS_III A2_BIODIVERSIDADE B1_CIÊNCIAS_BIOLÓGICAS_I B1_ANTROPOLOGIA_/_ARQUEOLOGIA B2_ASTRONOMIA_/_FÍSICA | |||
| Acervo Hospedeiro | urlib.net/www/2017/11.22.19.04 upn:3Q3U5H8 | |||
| Histórico (UTC) | 2020-05-28 14:47:16 :: simone -> administrator :: 2020-05-28 14:47:17 :: administrator -> simone :: 2020 2020-05-28 14:48:54 :: simone -> administrator :: 2020 2022-01-04 01:35:10 :: administrator -> simone :: 2020 | |||
| 3. Conteúdo e estrutura | ||||
| É a matriz ou uma cópia? | é a matriz | |||
| Estágio do Conteúdo | concluido | |||
| Transferível | 1 | |||
| Tipo do Conteúdo | External Contribution | |||
| Tipo de Versão | publisher | |||
| Palavras-Chave | Synthetic aperture radar Amazon coastal environments Random Forest | |||
| Resumo | The Amazon coast is marked by the high discharge of sediments and freshwater, macrotidal influence, a wide continental shelf, extensive flood plains and lowered plateaus which make it unique as a delta and estuary landscape. Further, the tropical climate imposes heavy rains and incessant cloudiness that render microwave systems more suitable for cartography. This study proposed to recognize and map the Amazon coastal environments through the X-band Synthetic Aperture Radar, provided by Cosmo-SkyMed (CSK) and TerraSAR-X (TSX) systems. The SAR datasets consisted of interferometric and stereo pairs, restricted to single-revisit and obtained with small interval (1-11 days), under steeper (theta < 35 degrees) and shallow (theta >= 35 degrees) incidence angles, and during the rainy and dry seasons. From the 4 acquisitions of X-band SAR data, attributes such as the backscattering coefficient, coefficient of variation, texture, coherence, and Digital Surface Model (DSM) were derived, adding each variable in 5 scenarios. These combinations resulted in 20 models, which were submitted individually to the machine learning (ML) classification approach by Random Forest (RF). The backscattering and altimetry described the coastal environments which shared ambiguity and high dispersion, with the lowest separability for vegetated environments such as Mangrove, Vegetated Coastal Plateau and Vegetated Fluvial Marine Terrace. The coherence provided by interferometry was weak (<0.44), even during the dry season, in the other hand, the cross-correlation was strong (>0.60), during the rainy and dry season showing more suitability for radargrammetry on the Amazon coast. The RF models resulted in Kappa coefficient between 0.39 to 0.70, indicating that the use of X-band SAR images at an incidence angle greater than 44 degrees and obtained in the dry season is more appropriated for the morphological mapping. The RF models given by TSX achieved the higher mapping accuracies per scenario of SAR products, in order of 0.48 to 0.63. Despite this, the best classification was carried out by 19 RF model with 0.70, provided by CSK in shallow incidence composed by intensity, texture, coherence and stereo DSM. The CSK and TSX data allowed to map the Amazon coast precisely, based on X-band at single polarization, high spatial resolution and revisit, which has demonstrated the support for detailed cartography scale (1:50,000) and frequent updating (monthly up to yearly). | |||
| Área | SRE | |||
| Arranjo | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > CRCRA > Cosmo-SkyMed and TerraSAR-X... | |||
| Conteúdo da Pasta doc | acessar | |||
| Conteúdo da Pasta source | não têm arquivos | |||
| Conteúdo da Pasta agreement |
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| 4. Condições de acesso e uso | ||||
| Idioma | en | |||
| Arquivo Alvo | guimaraes_cosmo.pdf | |||
| Grupo de Usuários | simone | |||
| Grupo de Leitores | administrator simone | |||
| Visibilidade | shown | |||
| Política de Arquivamento | denypublisher denyfinaldraft24 | |||
| Permissão de Leitura | deny from all and allow from 150.163 | |||
| Permissão de Atualização | não transferida | |||
| 5. Fontes relacionadas | ||||
| Unidades Imediatamente Superiores | 8JMKD3MGPCW/3EUAE4H | |||
| Lista de Itens Citando | sid.inpe.br/bibdigital/2013/10.03.18.52 - 59 | |||
| Divulgação | WEBSCI; PORTALCAPES; COMPENDEX; SCOPUS. | |||
| 6. Notas | ||||
| Campos Vazios | alternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark mirrorrepository nextedition notes number orcid parameterlist parentrepositories previousedition previouslowerunit progress project resumeid rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url | |||
| 7. Controle da descrição | ||||
| e-Mail (login) | simone | |||
| atualizar | ||||