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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitemarte2.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP6W34M/3PSM2LF
Repositorysid.inpe.br/marte2/2017/10.27.13.43.16
Last Update2017:10.27.13.43.16 (UTC) administrator
Metadata Repositorysid.inpe.br/marte2/2017/10.27.13.43.17
Metadata Last Update2018:06.06.03.08.14 (UTC) administrator
ISBN978-85-17-00088-1
Label59299
Citation KeyAdamiGBCVRNBOSE:2017:EsAcMa
TitleA confiabilidade do PRODES: estimativa da acurácia do mapeamento do desmatamento no estado Mato Grosso
FormatInternet
Year2017
Access Date2024, May 18
Secondary TypePRE CN
Number of Files1
Size694 KiB
2. Context
Author 1 Adami, Marcos
 2 Gomes, Alessandra Rodrigues
 3 Belluzzo, Amanda Pinoti
 4 Coelho, Andréa dos Santos
 5 Valeriano, Dalton de Morisson
 6 Ramos, Felipe de Souza
 7 Narvaes, Igor da Silva
 8 Brown, Irving Foster
 9 Oliveira, Ivanilson Dias de
10 Santos, Lucyana Barros
11 Eduardo, Luis
Resume Identifier 1
 2
 3
 4
 5 8JMKD3MGP5W/3C9JGT4
Group 1 CRCRA-COCRE-INPE-MCTIC-GOV-BR
 2 CRCRA-COCRE-INPE-MCTIC-GOV-BR
 3
 4
 5 COAMZ-CGOBT-INPE-MCTIC-GOV-BR
 6
 7 CRCRA-COCRE-INPE-MCTIC-GOV-BR
Affiliation 1 Instituto Nacional de Pesquisas Espaciais (INPE)
 2 Instituto Nacional de Pesquisas Espaciais (INPE)
 3
 4
 5 Instituto Nacional de Pesquisas Espaciais (INPE)
 6
 7 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address 1 marcos.adami@inpe.br
EditorGherardi, Douglas Francisco Marcolino
Aragão, Luiz Eduardo Oliveira e Cruz de
e-Mail Addressdaniela.seki@inpe.br
Conference NameSimpósio Brasileiro de Sensoriamento Remoto, 18 (SBSR)
Conference LocationSantos
Date28-31 maio 2017
PublisherInstituto Nacional de Pesquisas Espaciais (INPE)
Publisher CitySão José dos Campos
Pages4189-4196
Book TitleAnais
OrganizationInstituto Nacional de Pesquisas Espaciais (INPE)
History (UTC)2017-10-27 13:43:17 :: banon -> administrator ::
2018-06-06 03:08:14 :: administrator -> simone :: 2017
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
AbstractPRODES is completing almost thirty years of uninterrupted monitoring of clear-cut deforestation over the Brazilian Amazon. Until now, no estimate of its mapping accuracy has been made. In this sense, this article brings a first approximation of mapping accuracy estimation of PRODES deforested areas, taking as example the state of Mato Grosso for the year 2014. For this, a random sampling panel was constructed, stratified with two strata, the deforestation of 2014 and the remaining forest. The sample size was calculated using the binomial function. In addition, a web platform was built to evaluate the points drawn by three independent evaluators. The global accuracy of the mapping of deforestation for the state of Mato Grosso, for the year 2014 was 94.5%, and may vary between 92.4% and 96.5%, in the evaluated scenario there was no class discordance to be found. Regarding the Forest class, the user accuracy was 90.5% and the producer''s accuracy was 88.4%, this imbalance between user accuracy and producer accuracy indicates that there is a tendency for the forest class area to be underestimated for this mapping, in this year.
AreaSRE
TypeFloresta e outros tipos de vegetação
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGP6W34M/3PSM2LF
zipped data URLhttp://urlib.net/zip/8JMKD3MGP6W34M/3PSM2LF
Languagept
Target File59299.pdf
User Groupbanon
Visibilityshown
5. Allied materials
Mirror Repositoryurlib.net/www/2011/03.29.20.55
Next Higher Units8JMKD3MGP6W34M/3PMFNUS
8JMKD3MGPCW/3ETL435
8JMKD3MGPCW/3EUAE4H
Citing Item Listsid.inpe.br/mtc-m21/2012/07.13.14.44.17 3
sid.inpe.br/marte2/2017/09.25.14.55 1
Host Collectiondpi.inpe.br/marte2/2013/05.17.15.03.06
6. Notes
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