| 1. Identificação | ||||
| Tipo de Referência | Artigo em Evento (Conference Proceedings) | |||
| Site | mtc-m21c.sid.inpe.br | |||
| Código do Detentor | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S | |||
| Identificador | 8JMKD3MGP3W34R/3SG48NB | |||
| Repositório | sid.inpe.br/mtc-m21c/2019/01.03.11.12 | |||
| Última Atualização | 2019:01.03.11.12.09 (UTC) simone | |||
| Repositório de Metadados | sid.inpe.br/mtc-m21c/2019/01.03.11.12.09 | |||
| Última Atualização dos Metadados | 2019:01.14.17.06.43 (UTC) administrator | |||
| Chave Secundária | INPE--PRE/ | |||
| Chave de Citação | PereiraVincCoutKamp:2018:TrSaIm | |||
| Título | Training a satellite imagery texture based approach to monitor AGB in mangrove using aerial lidar  | |||
| Ano | 2018 | |||
| Data de Acesso | 16 maio 2024 | |||
| Tipo Secundário | PRE CI | |||
| Número de Arquivos | 1 | |||
| Tamanho | 1888 KiB | |||
| 2. Contextualização | ||||
| Autor | 1 Pereira, Francisca Rocha de Souza 2 Vincent, Gregoire 3 Couteron, Pierre 4 Kampel, Milton | |||
| Identificador de Curriculo | 1 2 3 4 8JMKD3MGP5W/3C9JHTG | |||
| Grupo | 1 DIDSR-CGOBT-INPE-MCTIC-GOV-BR 2 3 4 DIDSR-CGOBT-INPE-MCTIC-GOV-BR | |||
| Afiliação | 1 Instituto Nacional de Pesquisas Espaciais (INPE) 2 AMAP, IRD, CNRS, CIRAD, INRA 3 AMAP, IRD, CNRS, CIRAD, INRA 4 Instituto Nacional de Pesquisas Espaciais (INPE) | |||
| Endereço de e-Mail do Autor | 1 franrspereira@gmail.com 2 3 4 milton.kampel@inpe.br | |||
| Nome do Evento | IUFRO Conference | |||
| Localização do Evento | Posadas, Argentina | |||
| Data | 01-05 oct. | |||
| Título do Livro | Proceedings | |||
| Tipo Terciário | Poster | |||
| Histórico (UTC) | 2019-01-03 11:12:25 :: simone -> administrator :: 2018 2019-01-14 17:06:43 :: administrator -> simone :: 2018 | |||
| 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 | |||
| Resumo | Mangroves are important intertidal ecosystems typically in tropical and subtropical regions. Their restoration and conservation are important for the regulation of carbon fluxes and climate change control, also to maintain their valuable services for the coastal zone. The main goal of this study is to investigate the potential use of textural indices derived from a very high spatial resolution WorldView-2 image to estimate the aboveground biomass (AGB) of a mangrove forest in the Environmental Protection Area of Guapimirim (RJ, Brazil) subject to different levels of disturbance. Fourier-based Textural Ordination (FOTO) (Couteron, 2002, Proisy et al. 2007) and Grey-Level Co-occurrence Matrix (GLCM) (Haralick et al. 1973) textural indices were extracted from the panchromatic optical image. An accurate map of AGB was derived from lidar data and this map was used to train and test Random Forest, and AutoPLS methods to estimate AGB. The textural variability pattern associated with the canopy characteristics of the mangrove measured by FOTO and GLCM indices showed reasonable relationships with AGB. When many training points (from lidar) and both types of texture indices were used together the results improved markedly (RMSE (LOO) =25.64 t/ha, R²(LOO) =0.41). One source of uncertainty comes from the fact that degraded forests with low AGB values present coarse textures and can be confused with the textural pattern of high and more preserved forest characterized by large crowns. Our methodology can be applied to forests with different degrees of development but requires cautions for degraded forests for which texture gradients are not univocal. Nevertheless, the Random Forest classification based on the textural indices showed good results for the discrimination of different types of land cover such as non-mangrove, altered and preserved mangroves. Efforts such as those developed in this work are necessary to quantify AGB and carbon stocks, for monitoring purposes, as to assist public policies for the conservation and protection of these ecosystems. | |||
| Área | SRE | |||
| Arranjo | urlib.net > DIDSR > Training a satellite... | |||
| 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 | ||||
| URL dos dados | http://urlib.net/ibi/8JMKD3MGP3W34R/3SG48NB | |||
| URL dos dados zipados | http://urlib.net/zip/8JMKD3MGP3W34R/3SG48NB | |||
| Idioma | en | |||
| Arquivo Alvo | pereira_training.pdf | |||
| Grupo de Usuários | simone | |||
| Grupo de Leitores | administrator simone | |||
| Visibilidade | shown | |||
| Permissão de Atualização | não transferida | |||
| 5. Fontes relacionadas | ||||
| Unidades Imediatamente Superiores | 8JMKD3MGPCW/3ER446E | |||
| Lista de Itens Citando | sid.inpe.br/mtc-m21/2012/07.13.14.56.38 1 | |||
| Acervo Hospedeiro | urlib.net/www/2017/11.22.19.04 | |||
| 6. Notas | ||||
| Campos Vazios | archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi e-mailaddress edition editor format isbn issn keywords label lineage mark mirrorrepository nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisher publisheraddress readpermission rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle sponsor subject tertiarymark type url volume | |||
| 7. Controle da descrição | ||||
| e-Mail (login) | simone | |||
| atualizar | ||||