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1. Identificação
Tipo de ReferênciaArtigo em Evento (Conference Proceedings)
Sitemtc-m21d.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34T/4AC7P4L
Repositóriosid.inpe.br/mtc-m21d/2023/12.11.11.54
Repositório de Metadadossid.inpe.br/mtc-m21d/2023/12.11.11.54.48
Última Atualização dos Metadados2024:01.02.17.16.55 (UTC) administrator
Chave SecundáriaINPE--PRE/
Chave de CitaçãoQinXTDDLLSAWM:2023:AnFoEv
TítuloAnnual Forest and Evergreen Forest Cover Mapping and Assessment in the Brazilian Amazon
Ano2023
Data de Acesso03 maio 2024
Tipo SecundárioPRE CI
2. Contextualização
Autor 1 Qin, Yuanwei
 2 Xiao, xiangming
 3 Tang, Hao
 4 Dubayah, Ralph
 5 Doughty, Russell
 6 Liu, Diyou
 7 Liu, Fang
 8 Shimabukuro, Yosio Edemir
 9 Arai, Egidio
10 Wang, Xinxin
11 Moore, Berrien
Identificador de Curriculo 1
 2
 3
 4
 5
 6
 7
 8 8JMKD3MGP5W/3C9JJCQ
 9 8JMKD3MGP5W/3C9JGUP
Grupo 1
 2
 3
 4
 5
 6
 7
 8 DIOTG-CGCT-INPE-MCTI-GOV-BR
 9 DIOTG-CGCT-INPE-MCTI-GOV-BR
Afiliação 1 University of Oklahoma Norman Campus
 2 University of Oklahoma
 3 National University of Singapore
 4 University of Maryland College Park
 5 California Institute of Technology
 6 China Agricultural University(CAU)
 7 University of Oklahoma
 8 Instituto Nacional de Pesquisas Espaciais (INPE)
 9 Instituto Nacional de Pesquisas Espaciais (INPE)
10 Fudan University
11 University of Oklahoma
Endereço de e-Mail do Autor 1
 2
 3
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 8 yosio.shimabukuro@inpe.br
 9 egidio.arai@inpe.br
Nome do EventoAGU FAll Meeting
Localização do EventoSan Francisco, CA
Data11-15 Dec. 2023
Editora (Publisher)AGU
Título do LivroProceedings
Histórico (UTC)2023-12-11 11:54:48 :: simone -> administrator ::
2024-01-02 17:16:55 :: administrator -> simone :: 2023
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
ResumoMany forest cover maps have been generated by using optical and/or microwave images, but these forest cover maps have large area and spatial discrepancies. To date, few studies have assessed forest cover maps in terms of two biophysical parameters used in forest definition: (1) canopy height and (2) canopy coverage. We generated annual forest cover maps from 2007 to 2010 and evergreen forest cover maps from 2000 to 2021 in the Brazilian Amazon using the images from the Phased Array type L-band Synthetic Aperture Radar and the time series images from the Moderate Resolution Imaging Spectroradiometer, using the forest definition of the Food and Agriculture Organization (FAO) of the United Nations (> 5-m tree height and > 10% canopy coverage) as the reference. We used the canopy height and canopy coverage datasets from the Geoscience Laser Altimeter System during 2003-2007 to assess annual forest cover maps from 2007 to 2010 and annual evergreen forest cover maps from 2003 to 2007, and the results show high accuracy of these forest cover and evergreen forest cover maps in the Brazilian Amazon. These annual forest cover maps and annual evergreen forest cover maps provide data support for the analyses of the causes, process, and consequences of forest cover changes in the Brazilian Amazon.
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4. Condições de acesso e uso
Idiomaen
Grupo de Usuáriossimone
Visibilidadeshown
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/46KUATE
Acervo Hospedeirourlib.net/www/2021/06.04.03.40
6. Notas
Campos Vaziosarchivingpolicy archivist 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 publisheraddress readergroup readpermission rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle size sponsor subject targetfile tertiarymark tertiarytype type url volume
7. Controle da descrição
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