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1. Identificação
Tipo de ReferênciaArtigo em Evento (Conference Proceedings)
Sitemtc-m21c.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34R/3U5UM6B
Repositóriosid.inpe.br/mtc-m21c/2019/09.30.12.42
Repositório de Metadadossid.inpe.br/mtc-m21c/2019/09.30.12.42.19
Última Atualização dos Metadados2020:01.06.11.42.22 (UTC) administrator
Chave SecundáriaINPE--PRE/
Chave de CitaçãoBeuchleSLVCJLA:2019:LaMoBa
TítuloForest disturbances in the Brazilian Amazon - Large-scale monitoring based on cloud-computed remote sensing analysis
Ano2019
Data de Acesso21 maio 2024
Tipo SecundárioPRE CI
2. Contextualização
Autor1 Beuchle, René
2 Shimabukuro, Yosio Edemir
3 Langner, Andreas Johannes
4 Vogt, Peter
5 Carboni, Silvia
6 Janouskova, Klara
7 Lima, Thais Almeida
8 Achard, Frédéric
Identificador de Curriculo1
2 8JMKD3MGP5W/3C9JJCQ
Grupo1
2 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
Afiliação1 European Commission, Joint Research Centre (JRC)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 European Commission, Joint Research Centre (JRC)
4 European Commission, Joint Research Centre (JRC)
5 GFT ITALIA Srl.
6 ARHS Developments S.A.
7 University of British Columbia
8 European Commission, Joint Research Centre (JRC)
Endereço de e-Mail do Autor1
2 yosio.shimabukuro@inpe.br
Nome do EventoCongresso Mundial da IUFRO
Localização do EventoCuritiba, PR
Data29 set. - 05 out.
Histórico (UTC)2019-09-30 12:42:19 :: simone -> administrator ::
2020-01-06 11:42:22 :: administrator -> simone :: 2019
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Resumohe disturbances of forest cover by processes like selective logging and forest fires are very common in tropical forest. These disturbances heavily affect forest functionalities, lead to a decrease of forest biomass and contribute to greenhouse gas emissions. However, the quantification of the disturbance extend remains a challenging task because disturbed forest areas do not consist in a long-term conversion to another land use, but often undergo fast regrowth and thus are easily detectable only for a limited amount of time. We have applied a novel approach based on the ∆rNBR index, which maps the loss of forest canopy on a yearly basis by a multi-image analysis with cloud computing on Google Earth Engine. We have analysed 12 years of forest disturbances (2000-2011) over large area of interest (ca. 414,000 km2), defined by the intersection of the Mato Grosso State border and the Brazilian Amazon biome. We assessed the logging and fire intensity by applying a grid of 300 m × 300 m spatial resolution over the mapped disturbance pixels. In 2016, more than 220,000 km2 (53,3%) were covered by forest within the area of interest, thereof more than 38,000 km2 (17,3%) were disturbed by selective logging within the 12 years analysed, ranging from 1,819 km2 (2009) to 6,984 km2 (2005). The burned forest added up to 18,711 km2 (8,4%) during this period, the smallest forest area burned in 2001 (68 km2) the larges area in 2007 (10,258 km2).
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4. Condições de acesso e uso
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Grupo de Usuáriossimone
Visibilidadeshown
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/3ER446E
Lista de Itens Citando
Acervo Hospedeirourlib.net/www/2017/11.22.19.04
6. Notas
Campos Vaziosarchivingpolicy archivist booktitle callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi e-mailaddress edition editor format isbn issn keywords label lineage mark mirrorrepository nextedition notes numberoffiles numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisher publisheraddress readergroup readpermission rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle size sponsor subject targetfile tertiarymark tertiarytype type url versiontype volume
7. Controle da descrição
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