| 1. Identificação | ||||
| Tipo de Referência | Artigo em Revista Científica (Journal Article) | |||
| Site | mtc-m21c.sid.inpe.br | |||
| Código do Detentor | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S | |||
| Identificador | 8JMKD3MGP3W34R/3SEP8KH | |||
| Repositório | sid.inpe.br/mtc-m21c/2018/12.26.11.49 (acesso restrito) | |||
| Última Atualização | 2018:12.26.11.49.39 (UTC) administrator | |||
| Repositório de Metadados | sid.inpe.br/mtc-m21c/2018/12.26.11.49.39 | |||
| Última Atualização dos Metadados | 2020:01.06.11.42.07 (UTC) administrator | |||
| DOI | 10.1016/j.rse.2018.11.028 | |||
| ISSN | 0034-4257 | |||
| Chave de Citação | WangZAMBBMMRRG:2019:MaTrDi | |||
| Título | Mapping tropical disturbed forests using multi-decadal 30 m optical satellite imagery  | |||
| Ano | 2019 | |||
| Mês | Feb. | |||
| Data de Acesso | 12 maio 2024 | |||
| Tipo de Trabalho | journal article | |||
| Tipo Secundário | PRE PI | |||
| Número de Arquivos | 1 | |||
| Tamanho | 6191 KiB | |||
| 2. Contextualização | ||||
| Autor | 1 Wang, Yunxia 2 Ziv, Guy 3 Adami, Marcos 4 Mitchard, Edward 5 Batterman, Sarah A. 6 Buermann, Wolfgang 7 Marimon, Beatriz Schwantes 8 Marimon Junior, Ben Hur 9 Reis, Simone Matias 10 Rodrigues, Domingos 11 Galbraith, David | |||
| Grupo | 1 2 3 CRCRA-COCRE-INPE-MCTIC-GOV-BR | |||
| Afiliação | 1 University of Leeds 2 University of Leeds 3 Instituto Nacional de Pesquisas Espaciais (INPE) 4 University of Edinburgh 5 University of Leeds 6 University of Leeds 7 University of Edinburgh 8 University of Edinburgh 9 University of Edinburgh 10 Universidade Federal de Mato Grosso (UFMT) 11 University of Leeds | |||
| Endereço de e-Mail do Autor | 1 2 3 marcos.adami@inpe.br | |||
| Revista | Remote Sensing of Environment | |||
| Volume | 22198 | |||
| Páginas | 474-788 | |||
| Nota Secundária | A1_INTERDISCIPLINAR A1_GEOCIÊNCIAS A1_ENGENHARIAS_I A1_CIÊNCIAS_BIOLÓGICAS_I A1_CIÊNCIAS_AMBIENTAIS A1_CIÊNCIAS_AGRÁRIAS_I A1_BIODIVERSIDADE | |||
| Histórico (UTC) | 2018-12-26 11:49:39 :: simone -> administrator :: 2018-12-26 11:49:40 :: administrator -> simone :: 2018 2018-12-26 11:51:19 :: simone :: 2018 -> 2019 2018-12-26 11:51:19 :: simone -> administrator :: 2019 2020-01-06 11:42:07 :: administrator -> simone :: 2019 | |||
| 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 | Tropical disturbed forests play an important role in global carbon sequestration due to their rapid post-disturbance biomass accumulation rates. However, the accurate estimation of the carbon sequestration capacity of disturbed forests is still challenging due to large uncertainties in their spatial distribution. Using Google Earth Engine (GEE), we developed a novel approach to map cumulative disturbed forest areas based on the 27-year time-series of Landsat surface reflectance imagery. This approach integrates single date features with temporal characteristics from six time-series trajectories (two Landsat shortwave infrared bands and four vegetation indices) using a random forest machine learning classification algorithm. We demonstrated the feasibility of this method to map disturbed forests in three different forest ecoregions (seasonal, moist and dry forest) in Mato Grosso, Brazil, and found that the overall mapping accuracy was high, ranging from 81.3% for moist forest to 86.1% for seasonal forest. According to our classification, dry forest ecoregion experienced the most severe disturbances with 41% of forests being disturbed by 2010, followed by seasonal forest and moist forest ecoregions. We further separated disturbed forests into degraded old-growth forests and post-deforestation regrowth forests based on an existing post-deforestation land use map (TerraClass) and found that the area of degraded old-growth forests was up to 62% larger than the extent of post-deforestation regrowth forests, with 18% of old-growth forests actually being degraded. Application of this new classification approach to other tropical areas will provide a better constraint on the spatial extent of disturbed forest areas in Tropics and ultimately towards a better understanding of their importance in the global carbon cycle. | |||
| Área | SRE | |||
| Arranjo | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > CRCRA > Mapping tropical disturbed... | |||
| 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 | wang_mapping.pdf | |||
| Grupo de Usuários | simone | |||
| Visibilidade | shown | |||
| Política de Arquivamento | denypublisher allowfinaldraft24 | |||
| Permissão de Leitura | deny from all and allow from 150.163 | |||
| Permissão de Atualização | não transferida | |||
| 5. Fontes relacionadas | ||||
| Unidades Imediatamente Superiores | 8JMKD3MGPCW/3EUAE4H | |||
| Divulgação | WEBSCI; PORTALCAPES; MGA; COMPENDEX; SCOPUS. | |||
| Acervo Hospedeiro | urlib.net/www/2017/11.22.19.04 | |||
| 6. Notas | ||||
| Campos Vazios | alternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn keywords label lineage mark mirrorrepository nextedition notes number orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup resumeid rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url | |||
| 7. Controle da descrição | ||||
| e-Mail (login) | simone | |||
| atualizar | ||||