| 1. Identificação | ||||
| Tipo de Referência | Artigo em Evento (Conference Proceedings) | |||
| Site | mtc-m21b.sid.inpe.br | |||
| Código do Detentor | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S | |||
| Identificador | 8JMKD3MGP3W34P/3Q9JUKB | |||
| Repositório | sid.inpe.br/mtc-m21b/2017/12.27.14.48 | |||
| Última Atualização | 2020:11.19.11.10.06 (UTC) simone | |||
| Repositório de Metadados | sid.inpe.br/mtc-m21b/2017/12.27.14.48.43 | |||
| Última Atualização dos Metadados | 2022:03.18.22.12.25 (UTC) administrator | |||
| Chave Secundária | INPE--PRE/ | |||
| Chave de Citação | SantosShiDuaJorGas:2017:MuApEs | |||
| Título | Multi-stage approach to estimate forest biomass in degraded area by fire and selective logging  | |||
| Ano | 2017 | |||
| Data de Acesso | 10 maio 2024 | |||
| Tipo Secundário | PRE CI | |||
| Número de Arquivos | 1 | |||
| Tamanho | 67 KiB | |||
| 2. Contextualização | ||||
| Autor | 1 Santos, Erone Ghizoni 2 Shimabukuro, Yosio Edemir 3 Duarte, Valdete 4 Jorge, Anderson 5 Gasparini, Kaio Allan Cruz | |||
| Identificador de Curriculo | 1 2 8JMKD3MGP5W/3C9JJCQ 3 8JMKD3MGP5W/3C9JJAU | |||
| Grupo | 1 SER-SRE-SESPG-INPE-MCTIC-GOV-BR 2 DIDSR-CGOBT-INPE-MCTIC-GOV-BR 3 DIDSR-CGOBT-INPE-MCTIC-GOV-BR 4 5 DIDSR-CGOBT-INPE-MCTIC-GOV-BR | |||
| Afiliação | 1 Instituto Nacional de Pesquisas Espaciais (INPE) 2 Instituto Nacional de Pesquisas Espaciais (INPE) 3 Instituto Nacional de Pesquisas Espaciais (INPE) 4 5 Instituto Nacional de Pesquisas Espaciais (INPE) | |||
| Endereço de e-Mail do Autor | 1 2 yosio.shimabukuro@inpe.br 3 valdete.duarte@inpe.br 4 5 kaio.gasparini@inpe.br | |||
| Nome do Evento | AGU Fall Meeting | |||
| Localização do Evento | New Orleans | |||
| Data | 11-15 Dec. | |||
| Título do Livro | Proceedings | |||
| Histórico (UTC) | 2017-12-27 14:48:43 :: simone -> administrator :: 2018-06-04 02:28:10 :: administrator -> simone :: 2017 2020-11-19 11:10:07 :: simone -> administrator :: 2017 2022-03-18 22:12:25 :: administrator -> simone :: 2017 | |||
| 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 | The Amazon forest has been the target of several threats throughout the years. Anthropogenic disturbances in the region can significantly alter this environment, affecting directly the dynamics and structure of tropical forests. Monitoring these threats of forest degradation across the Amazon is of paramount to understand the impacts of disturbances in the tropics. With the advance of new technologies such as Light Detection and Ranging (LiDAR) the quantification and development of methodologies to monitor forest degradation in the Amazon is possible and may bring considerable contributions to this topic. The objective of this study was to use remote sensing data to assess and estimate the aboveground biomass (AGB) across different levels of degradation (fire and selective logging) using multi-stage approach between airborne LiDAR and orbital image. The study area is in the northern part of the state of Mato Grosso, Brazil. It is predominantly characterized by agricultural land and remnants of the Amazon Forest intact and degraded by either anthropic or natural reasons (selective logging and/or fire). More specifically, the study area corresponds to path/row 226/69 of OLI/Landsat 8 image. With a forest mask generated from the multi-resolution segmentation, agriculture and forest areas, forest biomass was calculated from LiDAR data and correlated with texture images, vegetation indices and fraction images by Linear Spectral Unmixing of OLI/Landsat 8 image and extrapolated to the entire scene 226/69 and validated with field inventories. The results showed that there is a moderate to strong correlation between forest biomass and texture data, vegetation indices and fraction images. With that, it is possible to extract biomass information and create maps using optical data, specifically by combining vegetation indices, which contain forest greening information with texture data that contains forest structure information. Then it was possible to extrapolate the biomass to the entire scene (226/69) from the optical data and to obtain an overview of the biomass distribution throughout the area. | |||
| Área | SRE | |||
| Arranjo 1 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Multi-stage approach to... | |||
| Arranjo 2 | urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > Multi-stage approach to... | |||
| 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://mtc-m21b.sid.inpe.br/ibi/8JMKD3MGP3W34P/3Q9JUKB | |||
| URL dos dados zipados | http://mtc-m21b.sid.inpe.br/zip/8JMKD3MGP3W34P/3Q9JUKB | |||
| Idioma | en | |||
| Arquivo Alvo | santos_mult.pdf | |||
| Grupo de Usuários | simone | |||
| Grupo de Leitores | administrator simone | |||
| Visibilidade | shown | |||
| Permissão de Atualização | não transferida | |||
| 5. Fontes relacionadas | ||||
| Repositório Espelho | sid.inpe.br/mtc-m21b/2013/09.26.14.25.22 | |||
| Unidades Imediatamente Superiores | 8JMKD3MGPCW/3ER446E 8JMKD3MGPCW/3F3NU5S | |||
| Lista de Itens Citando | sid.inpe.br/mtc-m21/2012/07.13.15.01.20 1 | |||
| Acervo Hospedeiro | sid.inpe.br/mtc-m21b/2013/09.26.14.25.20 | |||
| 6. Notas | ||||
| Campos Vazios | archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi e-mailaddress edition editor format isbn issn keywords label lineage mark 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 tertiarytype type url volume | |||
| 7. Controle da descrição | ||||
| e-Mail (login) | simone | |||
| atualizar | ||||