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1. Identity statement
Reference TypeJournal Article
Sitemtc-m21d.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34T/4ANP4RS
Repositorysid.inpe.br/mtc-m21d/2024/02.14.11.55   (restricted access)
Last Update2024:02.14.11.55.11 (UTC) simone
Metadata Repositorysid.inpe.br/mtc-m21d/2024/02.14.11.55.11
Metadata Last Update2024:02.26.20.47.55 (UTC) administrator
DOI10.5194/essd-16-321-2024
ISSN1866-3508
1866-3516
Citation KeyQinXTDDLLSAWM:2024:AnMaFo
TitleAnnual maps of forest cover in the Brazilian Amazon from analyses of PALSAR and MODIS images
Year2024
MonthJan.
Access Date2024, May 18
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size10746 KiB
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
 2
 3
 4
 5
 6
 7
 8 8JMKD3MGP5W/3C9JJCQ
 9 8JMKD3MGP5W/3C9JGUP
Group 1
 2
 3
 4
 5
 6
 7
 8 DIOTG-CGCT-INPE-MCTI-GOV-BR
 9 DIOTG-CGCT-INPE-MCTI-GOV-BR
Affiliation 1 University of Oklahoma
 2 University of Oklahoma
 3 National University of Singapore
 4 University of Maryland
 5 University of Oklahoma
 6 China Agricultural University
 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
 2 xiangming.xiao@ou.edu
 3
 4
 5
 6
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 8 yosio.shimabukuro@inpe.br
 9 egidio.arai@inpe.br
JournalEarth System Science Data
Volume16
Number1
Pages321-336
History (UTC)2024-02-14 11:56:53 :: simone -> administrator :: 2024
2024-02-26 20:47:55 :: administrator -> simone :: 2024
3. Content and structure
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Transferable1
Content TypeExternal Contribution
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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: canopy height and 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 of the United Nations (>5m 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. These annual forest cover maps and annual evergreen forest cover maps provide data support for the analyses of the causes, processes, and consequences of forest cover changes in the Brazilian Amazon (10.6084/m9.figshare.21445626; Qin and Xiao, 2022a; 10.6084/m9.figshare.21445590; Qin and Xiao, 2022b).
AreaSRE
Arrangementurlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > Annual maps of...
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Target Fileessd-16-321-2024.pdf
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Visibilityshown
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Update Permissionnot transferred
5. Allied materials
Mirror Repositoryurlib.net/www/2021/06.04.03.40.25
Next Higher Units8JMKD3MGPCW/46KUATE
Citing Item Listsid.inpe.br/bibdigital/2022/04.03.22.23 2
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