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1. Identity statement
Reference TypeJournal Article
Sitemtc-m21b.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34P/3KA7HHB
Repositorysid.inpe.br/mtc-m21b/2015/09.22.19.00   (restricted access)
Last Update2016:01.06.14.26.14 (UTC) simone
Metadata Repositorysid.inpe.br/mtc-m21b/2015/09.22.19.00.32
Metadata Last Update2018:06.04.02.55.41 (UTC) administrator
DOI10.1109/JSTARS.2015.2437075
ISSN1939-1404
2151-1535
Citation KeyDinizSSDLMMGNVMA:2015:NeAmNe
TitleDETER-B: the new Amazon near real-time deforestation detection system
Year2015
MonthJuly
Access Date2024, May 18
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size2029 KiB
2. Context
Author 1 Diniz, Cesar Guerreiro
 2 Souza, Arleson Antonio de Almeida
 3 Santos, Diogo Correa
 4 Dias, Miriam Correa
 5 Luz, Nelton Cavalcante
 6 Moraes, Douglas Rafael Vidal de
 7 Maia, Janaina Sant'Ana
 8 Gomes, Alessandra Rodrigues
 9 Narvaes, Igor da Silva
10 Valeriano, Dalton de Morisson
11 Maurano, Luis Eduardo Pinheiro
12 Adami, Marcos
Resume Identifier 1
 2
 3
 4
 5
 6
 7
 8
 9
10 8JMKD3MGP5W/3C9JGT4
Group 1 CRA-CCR-INPE-MCTI-GOV-BR
 2 CRA-CCR-INPE-MCTI-GOV-BR
 3 CRA-CCR-INPE-MCTI-GOV-BR
 4 CRA-CCR-INPE-MCTI-GOV-BR
 5 CRA-CCR-INPE-MCTI-GOV-BR
 6 CRA-CCR-INPE-MCTI-GOV-BR
 7 CRA-CCR-INPE-MCTI-GOV-BR
 8 CRA-CCR-INPE-MCTI-GOV-BR
 9 CRA-CCR-INPE-MCTI-GOV-BR
10 AMZ-OBT-INPE-MCTI-GOV-BR
11 DPI-OBT-INPE-MCTI-GOV-BR
12 CRA-CCR-INPE-MCTI-GOV-BR
Affiliation 1 Instituto Nacional de Pesquisas Espaciais (INPE)
 2 Instituto Nacional de Pesquisas Espaciais (INPE)
 3 Instituto Nacional de Pesquisas Espaciais (INPE)
 4 Instituto Nacional de Pesquisas Espaciais (INPE)
 5 Instituto Nacional de Pesquisas Espaciais (INPE)
 6 Instituto Nacional de Pesquisas Espaciais (INPE)
 7 Instituto Nacional de Pesquisas Espaciais (INPE)
 8 Instituto Nacional de Pesquisas Espaciais (INPE)
 9 Instituto Nacional de Pesquisas Espaciais (INPE)
10 Instituto Nacional de Pesquisas Espaciais (INPE)
11 Instituto Nacional de Pesquisas Espaciais (INPE)
12 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address 1 cesar.diniz@inpe.br
 2 arlesson.souza@inpe.br
 3 diogo.santos@inpe.br
 4 mirian.dias@inpe.br
 5 nelton.luz@inpe.br
 6 douglas.moraes@inpe.br
 7 janaina.maia@inpe.br
 8 alessandra.gomes@inpe.br
 9 igor.narvaes@inpe.br
10 dalton@inpe.br
11 maurano@inpe.br
12 marcos.adami@inpe.br
JournalIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Volume8
Number7
Pages3619-3628
History (UTC)2015-09-22 19:00:32 :: simone -> administrator ::
2016-06-21 18:43:12 :: administrator -> simone :: 2015
2016-10-11 18:56:14 :: simone -> administrator :: 2015
2018-06-04 02:55:41 :: administrator -> simone :: 2015
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
Keywords: Deforestation
Monitoring
Public policy
Remote sensing
Space research
Area estimation
Detection capability
Detection system
Early Warning System
Government investment
Monitoring system
Near-real time
rainforest
Real time systems
deforestation
early warning system
forestry policy
MODIS
monitoring system
rainforest
real time
remote sensing
satellite imagery
Amazonia
Brazil
AbstractThe Brazilian Legal Amazon (BLA), the largest global rainforest on earth, contains nearly 30% of the rainforest on earth. Given the regional complexity and dynamics, there are large government investments focused on controlling and preventing deforestation. The National Institute for Space Research (INPE) is currently developing five complementary BLA monitoring systems, among which the near real-time deforestation detection system (DETER) excels. DETER employs MODIS 250 m imagery and almost daily revisit, enabling an early warning system to support surveillance and control of deforestation. The aim of this paper is to present the methodology and results of the DETER based on AWIFS data, called DETER-B. Supported by 56 m images, the new system is effective in detecting deforestation smaller than 25 ha, concentrating 80% of its total detections and 45% of the total mapped area in this range. It also presents higher detection capability in identifying areas between 25 and 100 ha. The area estimation per municipality is statistically equal to those of the official deforestation data (PRODES) and allows the identification of degradation and logging patterns not observed with the traditional DETER system.
AreaSRE
Arrangement 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > DETER-B: the new...
Arrangement 2urlib.net > BDMCI > Fonds > Produção anterior à 2021 > COAMZ > DETER-B: the new...
Arrangement 3urlib.net > BDMCI > Fonds > Produção anterior à 2021 > CRCRA > DETER-B: the new...
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4. Conditions of access and use
Languageen
User Groupsimone
Reader Groupadministrator
simone
Visibilityshown
Archiving Policydenypublisher allowfinaldraft
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Mirror Repositoryurlib.net/www/2011/03.29.20.55
Next Higher Units8JMKD3MGPCW/3EQCCU5
8JMKD3MGPCW/3ETL435
8JMKD3MGPCW/3EUAE4H
Citing Item Listsid.inpe.br/bibdigital/2013/09.09.15.05 3
sid.inpe.br/bibdigital/2013/10.03.18.52 1
sid.inpe.br/bibdigital/2013/09.29.19.53 1
DisseminationWEBSCI; PORTALCAPES; IEEEXplore; SCOPUS.
Host Collectionsid.inpe.br/mtc-m21b/2013/09.26.14.25.20
6. Notes
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