| 1. Identificação | |
| Tipo de Referência | Artigo em Evento (Conference Proceedings) |
| Site | mtc-m16c.sid.inpe.br |
| Código do Detentor | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
| Identificador | 8JMKD3MGP8W/3BSRHFB |
| Repositório | sid.inpe.br/mtc-m18/2012/05.14.16.54 |
| Última Atualização | 2012:05.14.16.54.00 (UTC) administrator |
| Repositório de Metadados | sid.inpe.br/mtc-m18/2012/05.14.16.54.01 |
| Última Atualização dos Metadados | 2020:10.01.15.57.30 (UTC) administrator |
| ISBN | 978-85-17-00059-1 |
| Chave de Citação | ArnesenSilvHessNovo:2012:FlExMo |
| Título | Flood extent monitoring of the Amazon River floodplain using ScanSAR/ALOS data  |
| Formato | On-line. |
| Ano | 2012 |
| Data de Acesso | 11 maio 2024 |
| Tipo Secundário | PRE CI |
| Número de Arquivos | 1 |
| Tamanho | 1091 KiB |
| 2. Contextualização | |
| Autor | 1 Arnesen, Allan Saddi 2 Silva, Thiago Sanna Freire 3 Hess, Laura L. 4 Novo, Evlyn Márcia Leão de Moraes |
| Grupo | 1 DSR-OBT-INPE-MCTI-GOV-BR 2 DSR-OBT-INPE-MCTI-GOV-BR 3 4 DSR-OBT-INPE-MCTI-GOV-BR |
| Afiliação | 1 undefined 2 undefined 3 4 undefined |
| Endereço de e-Mail do Autor | 1 allansa@dsr.inpe.br 2 thiago@dsr.inpe.br 3 lola@eri.ucsb.edu 4 evlyn@dsr.inpe.br |
| Editor | Feitosa, Raul Queiroz Costa, Gilson Alexandre Ostwald Pedro da Almeida, Cláudia Maria de Fonseca, Leila Maria Garcia Kux, Hermann Johann Heinrich |
| Endereço de e-Mail | wanderf@dsr.inpe.br |
| Nome do Evento | International Conference on Geographic Object-Based Image Analysis, 4 (GEOBIA). |
| Localização do Evento | Rio de Janeiro |
| Data | May 7-9, 2012 |
| Editora (Publisher) | Instituto Nacional de Pesquisas Espaciais (INPE) |
| Cidade da Editora | São José dos Campos |
| Páginas | 309-314 |
| Título do Livro | Proceedings |
| Organização | Instituto Nacional de Pesquisas Espaciais (INPE) |
| Histórico (UTC) | 2012-05-14 16:54:01 :: wanderf@dsr.inpe.br -> administrator :: 2012-05-30 13:41:40 :: administrator -> wanderf@dsr.inpe.br :: 2012 2012-06-01 15:12:41 :: wanderf@dsr.inpe.br -> marciana :: 2012 2012-06-12 14:28:23 :: marciana -> seki@dsr.inpe.br :: 2012 2012-06-13 15:55:29 :: seki@dsr.inpe.br -> marciana :: 2012 2012-06-14 15:03:55 :: marciana -> administrator :: 2012 2020-10-01 15:57:30 :: administrator -> :: 2012 |
| 3. Conteúdo e estrutura | |
| É a matriz ou uma cópia? | é a matriz |
| Estágio do Conteúdo | concluido |
| Transferível | 1 |
| Palavras-Chave | flood pulse wetlands multi-temporal analysis object-based image analysis synthetic aperture radar Kyoto & Carbon Initiative |
| Resumo | The lower Amazon River floodplain is subject to large seasonal variations in water level, which associated with the flat topography, result in significant variation in flood extent throughout the year. Synthetic Aperture Radar (SAR) data offers a good choice for mapping the flooded area in these wetlands, given its ability to provide timely and continuous information without being strongly affected by cloud cover and atmospheric conditions. As part of JAXA's Kyoto & Carbon Initiative, wide-swath, multi-temporal coverage of the Amazon basin has been obtained using the ScanSAR mode of ALOS PALSAR. One of the largest limitations of radar automated classification is the occurrence of speckle noise. Furthermore, the dynamic nature of the floodplain environment demands the use of advanced methods, capable of integrating multiple sources and scales of information. This study tests the applicability of object-based image analysis for monitoring flood extent changes as a function of river stage height, using ALOS ScanSAR images for the Curuai Lake floodplain. This study area is located at the lower Amazon River near the city of Óbidos (Pará State, Brazil). Seven ScanSAR scenes were acquired during the 2007 flood pulse. Water level records from two gauge stations (Curuai and Óbidos), field photographs collected during the rising water period of 2011 and optical images (Landsat-5/TM and MODIS/Terra and Aqua) were also used. A data mining algorithm allowed the identification of thresholds, later used to implement a hierarchical object-based classification algorithm to map the flooding status in the study area for all available dates. The accuracy of the classification was assessed for the first three hierarchical classification levels, as well as for flooding status. Levels 1 and 2 (one land cover map for the entire time series) had overall accuracies of 90% and 83%, respectively. Level 3 classifications (one map per date) were validated only for the lowest and highest water stages, with overall accuracies of 78% and 80%, respectively. Flooding status was mapped with 88% and 90% accuracies for the low and high water stages, respectively. |
| Área | SRE |
| Tipo | Aquatic and Coastal Ecossystems |
| Arranjo | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Flood extent monitoring... |
| Conteúdo da Pasta doc | acessar |
| Conteúdo da Pasta source | não têm arquivos |
| Conteúdo da Pasta agreement | não têm arquivos |
| 4. Condições de acesso e uso | |
| URL dos dados | http://urlib.net/ibi/8JMKD3MGP8W/3BSRHFB |
| URL dos dados zipados | http://urlib.net/zip/8JMKD3MGP8W/3BSRHFB |
| Idioma | en |
| Arquivo Alvo | 087.pdf |
| Grupo de Usuários | administrator marciana wanderf@dsr.inpe.br |
| Visibilidade | shown |
| 5. Fontes relacionadas | |
| Repositório Espelho | urlib.net/www/2011/03.29.20.55 |
| Unidades Imediatamente Superiores | 8JMKD3MGPCW/3ER446E |
| Acervo Hospedeiro | sid.inpe.br/mtc-m18@80/2008/03.17.15.17 |
| 6. Notas | |
| Campos Vazios | archivingpolicy archivist callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi edition issn label lineage mark nextedition notes numberofvolumes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark serieseditor shorttitle sponsor tertiarymark tertiarytype url versiontype volume |