| 1. Identificação | ||||
| Tipo de Referência | Artigo em Revista Científica (Journal Article) | |||
| Site | mtc-m21d.sid.inpe.br | |||
| Código do Detentor | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S | |||
| Identificador | 8JMKD3MGP3W34T/48APA6B | |||
| Repositório | sid.inpe.br/mtc-m21d/2023/01.04.13.54 (acesso restrito) | |||
| Última Atualização | 2023:01.04.13.54.58 (UTC) simone | |||
| Repositório de Metadados | sid.inpe.br/mtc-m21d/2023/01.04.13.54.58 | |||
| Última Atualização dos Metadados | 2024:01.02.17.16.38 (UTC) administrator | |||
| DOI | 10.1016/j.ufug.2022.127817 | |||
| ISSN | 1618-8667 | |||
| Chave de Citação | AdornoKörtAmar:2023:CoTiDa | |||
| Título | Contribution of time-series data cubes to classify urban vegetation types by remote sensing  | |||
| Ano | 2023 | |||
| Mês | Jan. | |||
| Data de Acesso | 04 maio 2024 | |||
| Tipo de Trabalho | journal article | |||
| Tipo Secundário | PRE PI | |||
| Número de Arquivos | 1 | |||
| Tamanho | 11545 KiB | |||
| 2. Contextualização | ||||
| Autor | 1 Adorno, Bruno Vargas 2 Körting, Thales Sehn 3 Amaral, Silvana | |||
| Identificador de Curriculo | 1 2 3 8JMKD3MGP5W/3C9JJ8Q | |||
| Grupo | 1 SER-SRE-DIPGR-INPE-MCTI-GOV-BR 2 DIOTG-CGCT-INPE-MCTI-GOV-BR 3 DIOTG-CGCT-INPE-MCTI-GOV-BR | |||
| Afiliação | 1 Instituto Nacional de Pesquisas Espaciais (INPE) 2 Instituto Nacional de Pesquisas Espaciais (INPE) 3 Instituto Nacional de Pesquisas Espaciais (INPE) | |||
| Endereço de e-Mail do Autor | 1 brunoadornoflorestal@gmail.com 2 thales.korting@inpe.br 3 silvana.amaral@inpe.br | |||
| Revista | Urban Forestry and Urban Greening | |||
| Volume | 79 | |||
| Páginas | e127817 | |||
| Histórico (UTC) | 2023-01-04 13:55:10 :: simone -> administrator :: 2023 2024-01-02 17:16:38 :: administrator -> simone :: 2023 | |||
| 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 | CBERS-4A WPM Multisource image analysis Object-based classification Per-pixel classification Sentinel-2 MSI | |||
| Resumo | Mapping urban vegetation types is important for urban planning and assessing environmental justice. Nowadays, despite data cubes projects are providing Analysis Ready Data to facilitate time-series analysis, we did not found studies employing these data for improving urban vegetation mapping. By relying solely on open data and software, this work proposes and evaluates the integration of time-series data cubes in a hybrid image classification method to map the intra-urban space, differentiating Tree cover and Herb-shrub. The urban area of Goiânia, Goiás, Brazil, is the study area. The hybrid method combined object-based classification of a pan-sharpened CBERS-4A WPM image (spatial resolution of 2 m) with the pixel-based classification of Sentinel-2 MSI time-series data cubes (10 m). Both approaches used the Random Forest algorithm. Objects from the CBERS-4A segmentation composed the spatial unit of analysis and the class assignment depended on the Sentinel-2 time-series urban land cover probabilities. Based on both Maps probabilities, Shannon entropy was calculated to attribute the final urban land cover to the objects. Urban land cover probabilities presented similar spatial distribution patterns for both classification approaches. Regarding the thematic maps, the Herb-shrub cover area was 35% higher in Sentinel-2 time-series classification than in GEOBIA classification, but Tree cover was 21% lower. In general, 75% of the study area was equally classified by the initial approaches. However, for 9% of the remaining area, the hybrid classification improved vegetation classes accuracies by 35%, contributing to the vegetation covers identification. Thus, this study contributes to methodological procedures for urban land cover study and demonstrates that hybrid maps based on open data are effective to reduce classification mistakes, allowing more accurate monitoring, planning, and designing of different urban vegetation types. Future research efforts should focus on scale compatibility between data of different spatial resolutions and expand the use of data cubes to integrate time-series information into the GEOBIA classification. | |||
| Área | SRE | |||
| Arranjo 1 | urlib.net > SER > Contribution of time-series... | |||
| Arranjo 2 | urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > Contribution of time-series... | |||
| 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 | 1-s2.0-S1618866722003600-main.pdf | |||
| Grupo de Usuários | simone | |||
| Grupo de Leitores | administrator simone | |||
| Visibilidade | shown | |||
| Permissão de Leitura | deny from all and allow from 150.163 | |||
| Permissão de Atualização | não transferida | |||
| 5. Fontes relacionadas | ||||
| Unidades Imediatamente Superiores | 8JMKD3MGPCW/3F3NU5S 8JMKD3MGPCW/46KUATE | |||
| Lista de Itens Citando | sid.inpe.br/bibdigital/2013/10.18.22.34 4 sid.inpe.br/mtc-m21/2012/07.13.15.00.22 2 sid.inpe.br/bibdigital/2022/04.03.22.23 2 | |||
| Divulgação | WEBSCI; PORTALCAPES; SCOPUS. | |||
| Acervo Hospedeiro | urlib.net/www/2021/06.04.03.40 | |||
| 6. Notas | ||||
| Campos Vazios | alternatejournal archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark mirrorrepository nextedition notes number orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey secondarymark session shorttitle sponsor subject tertiarymark tertiarytype url | |||
| 7. Controle da descrição | ||||
| e-Mail (login) | simone | |||
| atualizar | ||||