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3 referências encontradas buscando em 15 dentre 15 sites.
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Área de identificação
Tipo de ReferênciaJournal Article
Sitemtc-m16d.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP7W/3E9B7NA
Repositóriosid.inpe.br/mtc-m19/2013/06.09.02.13.20   (acesso restrito)
Última Atualização2013:07.12.17.28.29 administrator
Metadadossid.inpe.br/mtc-m19/2013/06.09.02.13.21
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DOI10.1016/j.rse.2012.12.025
ISSN0034-4257
Rótuloscopus
Chave de CitaçãoBlancoCLHLMFCAVLCOMASZA:2013:LaCoMa
TítuloA land cover map of Latin America and the Caribbean in the framework of the SERENA project
Ano2013
MêsMay
Data de Acesso24 fev. 2021
Tipo de Trabalhojournal article
Número de Arquivos1
Tamanho3608 KiB
Área de contextualização
Autor 1 Blanco, Paula D.
 2 Colditz, Rene R.
 3 López Saldaña, Gerardo
 4 Hardtke, Leonardo A.
 5 Llamas, Ricardo M.
 6 Mari, Nicolás A.
 7 Fischer, Angeles
 8 Caride, Constanza
 9 Aceñolaza, Pablo G.
10 Valle, Héctor F. del
11 Lillo-Saavedra, Mario
12 Coronato, Fernando
13 Opazo, Sergio A.
14 Morelli, Fabiano
15 Anaya, Jesús A.
16 Sione, Walter F.
17 Zamboni, Pamela
18 Arroyo, Victor Barrena
Grupo 1
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14 DSA-CPT-INPE-MCTI-GOV-BR
Afiliação 1 National Patagonian Center-Argentinean National Research Council, Terrestrial Ecology Unit, U9120ACD Puerto Madryn, Chubut, Argentina
 2 National Commission for the Knowledge and Use of Biodiversity (CONABIO), Av. Liga Periférico-Insurgentes Sur 4903, Parques del Pedregal, Tlalpan 14010, Mexico City, D.F., Mexico
 3 Department of Forestry, School of Agronomy, Technical University of Lisbon, Tapada da Ajuda, 1349-017 Lisbon, Portugal
 4 National Patagonian Center-Argentinean National Research Council, Terrestrial Ecology Unit, U9120ACD Puerto Madryn, Chubut, Argentina
 5 National Commission for the Knowledge and Use of Biodiversity (CONABIO), Av. Liga Periférico-Insurgentes Sur 4903, Parques del Pedregal, Tlalpan 14010, Mexico City, D.F., Mexico
 6 Climate and Water Institute-INTA, B1712WAA Castelar, Buenos Aires, Argentina
 7 Climate and Water Institute-INTA, B1712WAA Castelar, Buenos Aires, Argentina
 8 Climate and Water Institute-INTA, B1712WAA Castelar, Buenos Aires, Argentina
 9 Center of Scientific Research, Technological Transfer to Productivity-Argentinean National Research Council, CP 3105 Diamante, Entre Ríos, Argentina; Autonomous University of Entre Ríos, CP 3100 Paraná, Entre Ríos, Argentina
10 National Patagonian Center-Argentinean National Research Council, Terrestrial Ecology Unit, U9120ACD Puerto Madryn, Chubut, Argentina
11 University of Concepción, Department of Electronic Engineering, 4070386 Concepción, Chile
12 National Patagonian Center-Argentinean National Research Council, Terrestrial Ecology Unit, U9120ACD Puerto Madryn, Chubut, Argentina
13 University of Magallanes, Science and Agricultural Technology School, 621-0427 Punta Arenas, Chile
14 Center for Weather Forecasting and Climate Studies, INPE, SP 12227-010 Sao José dos Campos, Brazil
15 University of Medellín, Faculty of Engineering, Medellín, Colombia
16 Autonomous University of Entre Ríos, CP 3100 Paraná, Entre Ríos, Argentina; National University of Luján, 6700 Luján, Buenos Aires, Argentina
17 Autonomous University of Entre Ríos, CP 3100 Paraná, Entre Ríos, Argentina
18 National Agrarian University - La Molina (UNALM), Lima, Peru
Endereço de e-Mail do Autor 1 blanco@cenpat.edu.ar
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14 fabiano.morelli@cptec.inpe.br
Endereço de e-Mailmarcelo.pazos@inpe.br
RevistaRemote Sensing of Environment
Volume132
Páginas13-31
Tipo SecundárioPRE PI
Nota SecundáriaA1 A1 A1 A1 A1 A1 A1
Histórico2021-01-03 02:12:01 :: administrator -> marcelo.pazos@inpe.br :: 2013
Área de conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteudoExternal Contribution
Tipo de Versãopublisher
Palavras-Chaveclass memberships, GOFC-GOLD, land cover classification, Latin America, MODIS, SERENA project, Climate change, Decision making, Decision trees, Deforestation, Gold, Personnel training, Pixels, Radiometers, Remote sensing, Landforms, climate change, decision analysis, decision making, forest fire, heterogeneity, land classification, land cover, model validation, MODIS, numerical model, pixel, remote sensing, spatial distribution, Caribbean, Decision Making, Deforestation, Education, Gold, Latin America, Maps, Radiometry, Remote Sensing, Seasonal Variation, Caribbean Islands, Latin America.
ResumoLand cover maps at different resolutions and mapping extents contribute to modeling and support decision making processes. Because land cover affects and is affected by climate change, it is listed among the 13 terrestrial essential climate variables. This paper describes the generation of a land cover map for Latin America and the Caribbean (LAC) for the year 2008. It was developed in the framework of the project Latin American Network for Monitoring and Studying of Natural Resources (SERENA), which has been developed within the GOFC-GOLD Latin American network of remote sensing and forest fires (RedLaTIF). The SERENA land cover map for LAC integrates: 1) the local expertise of SERENA network members to generate the training and validation data, 2) a methodology for land cover mapping based on decision trees using MODIS time series, and 3) class membership estimates to account for pixel heterogeneity issues. The discrete SERENA land cover product, derived from class memberships, yields an overall accuracy of 84% and includes an additional layer representing the estimated per-pixel confidence. The study demonstrates in detail the use of class memberships to better estimate the area of scarce classes with a scattered spatial distribution. The land cover map is already available as a printed wall map and will be released in digital format in the near future. The SERENA land cover map was produced with a legend and classification strategy similar to that used by the North American Land Change Monitoring System (NALCMS) to generate a land cover map of the North American continent, that will allow to combine both maps to generate consistent data across America facilitating continental monitoring and modeling.
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Arquivo AlvoBlanco_A land.PDF
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Repositório Espelhoiconet.com.br/banon/2006/11.26.21.31
Unidades Imediatamente Superiores8JMKD3MGPCW/43SRC6S
URL (dados não confiáveis)http://dx.doi.org/10.1016/j.rse.2012.12.025
DivulgaçãoWEBSCI; PORTALCAPES; COMPENDEX; SCOPUS.
Acervo Hospedeirosid.inpe.br/mtc-m19@80/2009/08.21.17.02
Área de notas
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel format isbn lineage mark nextedition notes number orcid parameterlist parentrepositories previousedition previouslowerunit progress project resumeid rightsholder secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype
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e-Mail (login)marcelo.pazos@inpe.br
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Área de identificação
Tipo de ReferênciaJournal Article
Siteplutao.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
IdentificadorJ8LNKAN8RW/3E7UEPB
Repositóriodpi.inpe.br/plutao/2013/05.31.17.21   (acesso restrito)
Última Atualização2013:06.25.19.49.20 administrator
Metadadosdpi.inpe.br/plutao/2013/05.31.17.21.09
Última Atualização dos Metadados2021:01.03.02.11.07 administrator
DOI10.1080/01431161.2013.776720
ISSN0143-1161
Rótulolattes: 5379515759830546 2 AraujoMach:2013:ClRePr
Chave de CitaçãoLimaMach:2013:ClRePr
TítuloCloud reflectivity profile classification using MSG/SEVIRI infrared multichannel and TRMM data
ProjetoFAPESP (2009/15235-8).
Ano2013
Data de Acesso24 fev. 2021
Tipo de Trabalhojournal article
Número de Arquivos1
Tamanho1410 KiB
Área de contextualização
Autor1 Lima, Wagner Flauber Araujo
2 Machado, Luiz Augusto Toledo
Identificador de Curriculo1
2 8JMKD3MGP5W/3C9JHMS
Grupo1 DSA-CPT-INPE-MCTI-GOV-BR
2 DSA-CPT-INPE-MCTI-GOV-BR
Afiliação1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor1 wagner.flauber@cptec.inpe.br
2 luiz.machado@cptec.inpe.br
Endereço de e-Mailmachado@cptec.inpe.br
RevistaInternational Journal of Remote Sensing
Volume34
Número12
Páginas4384-4405
Tipo SecundárioPRE PI
Nota SecundáriaA1 A1 A1 A2 A2 A2 A2 A2 B1 B1 B1 B1 B2 B3 B3 B3
Histórico2013-05-31 17:21:09 :: lattes -> administrator ::
2013-05-31 17:41:44 :: administrator -> lattes :: 2013
2013-05-31 21:39:40 :: lattes -> administrator :: 2013
2021-01-03 02:11:07 :: administrator -> :: 2013
Área de conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteudoExternal Contribution
Tipo de Versãopublisher
Palavras-Chavecloud reflectivity, Tropical Rainfall Measuring Mission (TRMM), MSG/SEVIRI infrared multichannel.
ResumoThis work analyses the capability of utilizing cloud-top multispectral radiation to extract information about the vertical reflectivity profile of clouds. Reflectivity profiles and cloud type classification were collected using the Tropical Rainfall Measuring Mission (TRMM) 2A25 algorithm and brightness temperature multispectral channels (3.9, 6.2, 8.7, 10.8, and 12 μm) from the Spinning Enhanced Visible and Infrared Imager (SEVIRI) aboard the Meteosat Second Generation (MSG) satellite. The analysis was performed on four cloud types: convective, warm, and stratiform with and without bright band, using a four-channel combination (10.83.9, 6.210.8, 8.710.8, and 10.812.0 μm). The study was applied over Tropical Africa at the MSG subsatellite point, in August 2006. Sixteen individual profile types were detected: three warm, four convective, three stratiform without bright band, and six stratiform with bright band. These cloud profile types were examined using cloud-top multichannel brightness temperature differences. The channel combination results demonstrated that the information obtained from cloud-top radiation enables us to detect specific individual characteristics within the cloud reflectivity profile. The channel combinations employed in this study were effective in identifying warm and cold cloud types. In the 10.83.9 and 8.710.8 μ m channels, brightness temperature differences were indicated in the detection of warm clouds, while the 6.210.8 μm channel was noted to be very efficient in classifying cold clouds. Cold clouds types were much more difficult to classify because they possess a similar multichannel signature, which caused ambiguity in the classification. In order to reduce this uncertainty, it was necessary to use texture information (space variability) to acquire a clearer distinction between different cloud types. The survey analysis showed good performance in classifying cloud types, with an accuracy of about 77.4% and 73.5% for night and day, respectively.
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Arquivo AlvoWagner Flauber.pdf
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VinculaçãoTrabalho Vinculado à Tese/Dissertação
Repositório Espelhoiconet.com.br/banon/2006/11.26.21.31
Unidades Imediatamente Superiores8JMKD3MGPCW/43SRC6S
URL (dados não confiáveis)http://dx.doi.org/10.1080/01431161.2013.776720
DivulgaçãoWEBSCI; PORTALCAPES; MGA; COMPENDEX; SCOPUS.
Acervo Hospedeirodpi.inpe.br/plutao@80/2008/08.19.15.01
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Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel format isbn lineage mark month nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress rightsholder secondarydate secondarykey session shorttitle sponsor subject tertiarytype
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Tipo de ReferênciaJournal Article
Siteplutao.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
IdentificadorJ8LNKAN8RW/3E7UPNH
Repositóriodpi.inpe.br/plutao/2013/05.31.19.10
Última Atualização2013:06.26.18.48.13 administrator
Metadadosdpi.inpe.br/plutao/2013/05.31.19.10.03
Última Atualização dos Metadados2021:01.03.02.11.07 administrator
DOI10.1175/JHM-D-12-056.1
ISSN1525-755X
Rótulolattes: 6440821154496824 1 VilaHernFerrSemu:2013:PeHyMo
Chave de CitaçãoVilaHernFerrSemu:2013:PeHyMo
TítuloThe Performance of Hydrological Monthly Products Using SSM/I-SSMI/S Sensors
ProjetoBrazilian National Research Council (476599/2010-5)
Ano2013
Data de Acesso24 fev. 2021
Número de Arquivos1
Tamanho1509 KiB
Área de contextualização
Autor1 Vila, Daniel Alejandro
2 Hernandez, Cecilia
3 Ferraro, Ralph
4 Semunegus, Hilawe
Grupo1 DSA-CPT-INPE-MCTI-GOV-BR
Afiliação1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Cooperative Institute of Climate Studies, College Park, Maryland
3 Cooperative Institute of Climate Studies, College Park, and NOAA/NESDIS, Silver Spring, Maryland
4 NCDC/NOAA, Asheville, North Carolina
Endereço de e-Mail do Autor1 dvila2001@hotmail.com
Endereço de e-Maildvila2001@hotmail.com
RevistaJournal of Hydrometeorology
Volume14
Número1
Páginas266-274
Tipo SecundárioPRE PI
Nota SecundáriaA2 A2 A2
Histórico2013-05-31 19:10:03 :: lattes -> administrator ::
2021-01-03 02:11:07 :: administrator -> marcelo.pazos@inpe.br :: 2013
Área de conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteudoExternal Contribution
Tipo de Versãopublisher
Palavras-Chaverainfall, hydrological products, SSM/I–SSMI/S Sensors.
ResumoGlobal monthly rainfall estimates and other hydrological products have been produced from 1987 to the present using measurements from the Defense Meteorological Satellite Program (DMSP) series of the Special Sensor Microwave Imager (SSM/I). The aim of this paper is twofold: to present the recent efforts to improve the quality control (QC) of historical antenna temperature of the SSM/I sensor (19872008) and how this improvement impacts the different hydrological products that are generated at NOAA/National Environmental Satellite, Data, and Information Service (NESDIS). Beginning in 2005, the DMSP Special Sensor Microwave Imager/Sounder (SSMI/S) has been successfully operating on the F-16, F-17, and F-18 satellites. The second objective of this paper is focused on the application of SSMI/S channels to evaluate the performance of several hydrological products using the heritage of existing SSM/I algorithms and to develop an improved strategy to extend the SSM/I time series into the SSMI/S era, starting with data in 2009 for F-17. The continuity of hydrological products from SSM/I to SSMI/S has shown to be a valuable contribution for the precipitation and climate monitoring community but several sensor issues must be accounted for to meet this objective.
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URL dos dados zipadoshttp://urlib.net/zip/J8LNKAN8RW/3E7UPNH
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Arquivo AlvoDAniel Vila.pdf
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Unidades Imediatamente Superiores8JMKD3MGPCW/43SRC6S
DivulgaçãoWEBSCI; SCOPUS.
Acervo Hospedeirodpi.inpe.br/plutao@80/2008/08.19.15.01
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