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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitemtc-m21d.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34T/4AC7P4L
Repositorysid.inpe.br/mtc-m21d/2023/12.11.11.54
Metadata Repositorysid.inpe.br/mtc-m21d/2023/12.11.11.54.48
Metadata Last Update2024:01.02.17.16.55 (UTC) administrator
Secondary KeyINPE--PRE/
Citation KeyQinXTDDLLSAWM:2023:AnFoEv
TitleAnnual Forest and Evergreen Forest Cover Mapping and Assessment in the Brazilian Amazon
Year2023
Access Date2024, May 04
Secondary TypePRE CI
2. Context
Author 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
Resume Identifier 1
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 8 8JMKD3MGP5W/3C9JJCQ
 9 8JMKD3MGP5W/3C9JGUP
Group 1
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 8 DIOTG-CGCT-INPE-MCTI-GOV-BR
 9 DIOTG-CGCT-INPE-MCTI-GOV-BR
Affiliation 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
Author e-Mail Address 1
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 8 yosio.shimabukuro@inpe.br
 9 egidio.arai@inpe.br
Conference NameAGU FAll Meeting
Conference LocationSan Francisco, CA
Date11-15 Dec. 2023
PublisherAGU
Book TitleProceedings
History (UTC)2023-12-11 11:54:48 :: simone -> administrator ::
2024-01-02 17:16:55 :: administrator -> simone :: 2023
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
AbstractMany 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.
AreaSRE
Arrangementurlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > Annual Forest and...
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4. Conditions of access and use
Languageen
User Groupsimone
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/46KUATE
Host Collectionurlib.net/www/2021/06.04.03.40
6. Notes
Empty Fieldsarchivingpolicy 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
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