Resultado da Pesquisa
A expressão de busca foi <secondaryty ci and ref conference and firstg DSR-OBT-INPE-MCTI-GOV-BR and y 2014 and is * and not booktitle, Resumos and not booktitle, Abstracts>.
4 referências encontradas buscando em 15 dentre 15 sites.
Data e hora local de busca: 26/02/2021 16:52.
Área de identificação
Tipo de ReferênciaArtigo em Evento (Conference Proceedings)
Sitemtc-m21b.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34P/3HP89B3
Repositóriosid.inpe.br/mtc-m21b/2015/01.13.18.16.40
Última Atualização2015:01.15.12.36.53 administrator
Metadadossid.inpe.br/mtc-m21b/2015/01.13.18.16.41
Última Atualização dos Metadados2018:06.04.03.04.44 administrator
DOI10.1109/IGARSS.2014.6947635
ISBN9781479957750
Rótuloscopus 2015-01 MelloAtzbForm:2014:NeReTi
Chave de CitaçãoMelloAtzbForm:2014:NeReTi
TítuloNear real time yield estimation for sugarcane in Brazil combining remote sensing and official statistical data
Ano2014
Data de Acesso26 fev. 2021
Número de Arquivos1
Tamanho810 KiB
Área de contextualização
Autor1 Mello, Marcio Pupin
2 Atzberger, Clement
3 Formaggio, Antonio Roberto
Identificador de Curriculo1
2
3 8JMKD3MGP5W/3C9JGJQ
Grupo1
2
3 DSR-OBT-INPE-MCTI-GOV-BR
Afiliação1 Boeing Company, Boeing Research and Technology - Brazil (BRandT-Brazil), Estrada Dr Altino Bondesan 500 (Parque Tecnologico)Sao Jose dos Campos SP, Brazil
2 University of Natural Resources and Life Sciences (BOKU), Institute of Surveying, Remote Sensing and Land Information (IVFL), Peter Jordan StraÃxe 82Vienna, Austria
3 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mailmarcelo.pazos@inpe.br
Nome do EventoIEEE International Geoscience and Remote Sensing Symposium, (IGARSS).
Localização do EventoQuebec City
DataJuly 13-18, 2014.
Páginas5064-5067
Editora (Publisher)Institute of Electrical and Electronics Engineers Inc.
Tipo SecundárioPRE CI
Histórico2018-06-04 03:04:44 :: administrator -> marcelo.pazos@inpe.br :: 2014
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
ResumoBesides energy concerns, the cultivation of sugarcane in Brazil plays an important role in the development of its agriculture, economy, and environment. However, there is no research on a broad operational yield monitoring system for sugarcane in Brazil based on remote sensing technologies. This paper aims at proposing a method to fill this gap. Five municipalities located in the west corner of São Paulo State, Brazil, were used to run and test a new method, which estimates the yield based on a combination of remote sensing and official historical data without using crop masks. Using data from 2003 to 2012, results stated that sugarcane yield estimates from January to March using remote sensing data tends to match strongly with the official yield, with the benefit of being known before the harvest season. Although we only tested five municipalities, we do expect that the proposed method might be applicable to wider regions as well as to other crops.
AreaSRE
ArranjoINPE > Produção > DIDSR > Near real time...
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreementnão têm arquivos
Área de condições de acesso e uso
URL dos dadoshttp://urlib.net/rep/8JMKD3MGP3W34P/3HP89B3
URL dos dados zipadoshttp://urlib.net/zip/8JMKD3MGP3W34P/3HP89B3
Idiomaen
Arquivo Alvo06947635.pdf
Grupo de Usuáriosadministrator
marcelo.pazos@inpe.br
Visibilidadeshown
Permissão de Atualizaçãonão transferida
Área de fontes relacionadas
VinculaçãoTrabalho não Vinculado à Tese/Dissertação
Unidades Imediatamente Superiores8JMKD3MGPCW/3ER446E
Acervo Hospedeirosid.inpe.br/mtc-m21b/2013/09.26.14.25.20
Área de notas
Campos Vaziosaccessionnumber archivingpolicy archivist booktitle callnumber copyholder copyright creatorhistory descriptionlevel dissemination edition editor electronicmailaddress format issn keywords lineage mark mirrorrepository nextedition notes numberofvolumes orcid organization parameterlist parentrepositories previousedition previouslowerunit progress project publisheraddress readergroup readpermission rightsholder secondarydate secondarykey secondarymark serieseditor session shorttitle sponsor subject tertiarytype type url volume
Área de identificação
Tipo de ReferênciaArtigo em Evento (Conference Proceedings)
Siteplutao.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W/3HG7GN7
Repositóriosid.inpe.br/plutao/2014/12.01.12.57.14
Última Atualização2015:01.14.11.07.08 administrator
Metadadossid.inpe.br/plutao/2014/12.01.12.57.15
Última Atualização dos Metadados2018:06.04.23.39.40 administrator
ISBN9781479957750
Rótulolattes: 2456184661855977 1 SanchesSouz:2014:CoReAn
Chave de CitaçãoSanchesSouz:2014:CoReAn
TítuloContinuum Removal Analysis of the chlorophyll absorption feature to detect plant stress induced by liquid hydrocarbon contamination
Ano2014
Data de Acesso26 fev. 2021
Número de Arquivos1
Tamanho239 KiB
Área de contextualização
Autor1 Sanches, Ieda Del'Arco
2 Souza Filho, Carlos Roberto de
Grupo1 DSR-OBT-INPE-MCTI-GOV-BR
Afiliação1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Institute of Geosciences, University of Campinas (UNICAMP), Brazil
Endereço de e-Mailmarcelo.pazos@inpe.br
Nome do EventoInternational Geoscience and Remote Sensing Symposium, (IGARSS).
Localização do EventoQuebec
Data2014
Editora (Publisher)IEEE
Título do LivroProceedings
Tipo SecundárioPRE CI
Tipo TerciárioResumo Estendido
Histórico2014-12-01 12:57:15 :: lattes -> administrator ::
2018-06-04 23:39:40 :: administrator -> marciana :: 2014
Área de conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteudoExternal Contribution
Tipo de Versãofinaldraft
ResumoThis work explores the continuum removal (CR) technique to detect plant stress in visible/near infrared wavelengths. The red edge of the 680 nm chlorophyll absorption is a key feature in plant stress studies (e.g., [1], [8], [7]). The CR transformation consists of estimating the absorptions not due to the band of interest and removing their effects [2]. The CR technique normalises the reflectance spectrum and isolates absorption features to allow comparison between absorption bands on a common basis [4]. The CR method was initially used in geological remote sensing and was first applied to studies of leaf biochemistry by [5]. [6] demonstrated that the distinction between healthy and contaminated plant samples was improved when analysing the continuum-removed reflectance compared to reflectance and first derivative of reflectance data. In that study, they applied the CR using fixed continuum channels (e.g. 550-570 nm). Pre-stipulated wavelengths (i.e. left and right channels) used to determine the continuum line for the CR of a specific absorption feature can be adjusted for each sample to better represent the feature (PRISM software, [3]). In the present study, a time series of close range canopy reflectance data of a grass plant species (Brachiaria brizantha) grown in liquid hydrocarboncontaminated (diesel DSL; gasoline-GSL) soil was acquired with a portable spectrometer (ASD FieldSpec® 3 Hi-Res). The parameters describing the chlorophyll 680 nm absorption feature (continuum channels, depth, width, and area) were derived using the CR applied to the spectra using fixed (FIX) and adjusted (ADJ) continuum channels. Differences between CR-FIX and CR-ADJ results are observed in Figure 1 for all parameters but the feature centre (Table 1). Left and right channels of the continuum line differs some 16 nm and 8 nm on average, respectively, for the FIX and ADJ methods. In addition, the mean depth, width (FWHM full width at half maximum) and area of the 680 nm feature yielded with the ADJ technique showed higher values. The analysis of the parameters estimated for the 680 nm absorption feature (CR-ADJ) for each of the contamination treatments, indicates that plants stressed by DSL and GSL display mean values of depth, width and area substantially lower than healthy plants (CTR) (Table 2). The results imply that to better characterize an absorption feature, the application of the CR technique using adjusted channels is superior and should be favoured in the analysis. Plant stress in brachiaria grass induced by the contamination of soil with DSL and GSL can be detected with spectral feature analysis focusing on the depth, width or area of the 680 nm chlorophyll absorption feature.
AreaSRE
ArranjoINPE > Produção > DIDSR > Continuum Removal Analysis...
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreementnão têm arquivos
Área de condições de acesso e uso
URL dos dadoshttp://urlib.net/rep/8JMKD3MGP3W/3HG7GN7
URL dos dados zipadoshttp://urlib.net/zip/8JMKD3MGP3W/3HG7GN7
Idiomaen
Arquivo Alvo1407sanches.pdf
Grupo de Usuárioslattes
marcelo.pazos@inpe.br
marciana
Grupo de Leitoresadministrator
marcelo.pazos@inpe.br
marciana
Visibilidadeshown
Permissão de Leituraallow from all
Permissão de Atualizaçãonão transferida
Área de fontes relacionadas
VinculaçãoTrabalho não Vinculado à Tese/Dissertação
Repositório Espelhoiconet.com.br/banon/2006/11.26.21.31
Unidades Imediatamente Superiores8JMKD3MGPCW/3ER446E
Acervo Hospedeirodpi.inpe.br/plutao@80/2008/08.19.15.01
Área de notas
Campos Vaziosaccessionnumber archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi edition editor electronicmailaddress format issn keywords lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisheraddress resumeid rightsholder secondarydate secondarykey secondarymark serieseditor session shorttitle sponsor subject type url volume
Área de controle da descrição
e-Mail (login)marciana
atualizar 
Área de identificação
Tipo de ReferênciaArtigo em Evento (Conference Proceedings)
Sitemtc-m21b.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP5W34M/3HE6FE8
Repositóriosid.inpe.br/mtc-m21b/2014/11.18.23.58.45
Última Atualização2014:12.09.12.25.16 administrator
Metadadossid.inpe.br/mtc-m21b/2014/11.18.23.58.46
Última Atualização dos Metadados2018:06.04.03.04.31 administrator
DOI10.1117/12.2066031
ISBN9781628412765
ISSN0277786X
Rótuloscopus 2014-11 SantosJGTMMGK:2014:DeAbBi
Chave de CitaçãoSantosSGTMMGK:2014:DeAbBi
TítuloDetermining aboveground biomass of the forest successional chronosequence in a test-site of Brazilian Amazon through X- and L-band data analysis
Ano2014
Data de Acesso26 fev. 2021
Número de Arquivos1
Tamanho458 KiB
Área de contextualização
Autor1 Santos, João Roberto dos
2 Silva, Camila Valéria de Jesus
3 Galvão, Lenio Soares
4 Treuhaft, Robert
5 Mura, José Cláudio
6 Madsen, Soren
7 Gonçalves, Fábio Guimarães
8 Keller, Michael Maier
Identificador de Curriculo1 8JMKD3MGP5W/3C9JHF4
2
3 8JMKD3MGP5W/3C9JHLF
4
5 8JMKD3MGP5W/3C9JHGR
Grupo1 DSR-OBT-INPE-MCTI-GOV-BR
2 SER-SRE-SPG-INPE-MCTI-GOV-BR
3 DSR-OBT-INPE-MCTI-GOV-BR
4
5 DPI-OBT-INPE-MCTI-GOV-BR
Afiliação1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, Pasadena, CA, 91109, United States
5 Instituto Nacional de Pesquisas Espaciais (INPE)
6 Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, Pasadena, CA, 91109, United States
7 Woods Hole Research Center, 149, Woods Hole Road, MA, 02540, United States
8 USDA Forest Service, Rio-Piedras, 100745, Puerto Rico; University of New Hampshire, Durham, NH 03824, United States
Endereço de e-Mailmarcelo.pazos@inpe.br
Nome do EventoInternational Conference on Remote Sensing and Geoinformation of the Environment (RSCy2014), 2
Localização do EventoPaphos, Cyprus
Dataapr. 7, 2014
Volume9229
Título do LivroProceedings
Editora (Publisher)SPIE
Cidade da EditoraPaphos
Tipo SecundárioPRE CI
Histórico2018-06-04 03:04:31 :: administrator -> marcelo.pazos@inpe.br :: 2014
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-ChaveBiomass, Forestry, Interferometry, Monitoring, Regression analysis, Remote sensing, Amazon forests, Biophysical parameters, Interferometric coherence, Multivariate regression, PALSAR/ALOS, Secondary succession, TanDEM/TerraSAR-X, Volumetric scattering, Synthetic aperture radar, Biomass, Forestry, Monitoring, Radar, Regression Analysis, Remote Sensing.
ResumoSecondary succession is an important process in the Amazonian region with implications for the global carbon cycle and for the sustainable regional agricultural and pasture activities. In order to better discriminate the secondary succession and to characterize and estimate the aboveground biomass (AGB), backscatter and interferometric SAR data generally have been analyzed through empirical-based statistical modeling. The objective of this study is to verify the capability of the full polarimetric PALSAR/ALOS (L-band) attributes, when combined with the interferometric (InSAR) coherence from the TanDEM-X (X-band), to improve the AGB estimates of the succession chronosequence located in the Brazilian Tapajós region. In order to perform this study, we carried out multivariate regression using radar attributes and biophysical parameters acquired during a field inventory. A previous floristic-structural analysis was performed to establish the chronosequence in three stages: initial vegetation regrowth, intermediate, and advanced regrowth. The relationship between PALSAR data and AGB was significant (p<0.001) and results suggested that the " volumetric scattering" ? (Pv) and " anisotropy" ? (A) attributes were important to explain the biomass content of the successional chronosequence (R2 adjusted= 0.67; RMSE = 32.29 Mg.ha -1). By adding the TanDEM-derived interferometric coherence (i) into the regression modeling, better results were obtained (R2 adjusted = 0.75; RMSE = 28.78Mg.ha-1). When we used both the L- and X-band attributes, the stock density prediction improved to 10.8 % for the secondary succession stands. © 2014 SPIE.
AreaSRE
Arranjo 1INPE > Produção > DIDPI > Determining aboveground biomass...
Arranjo 2INPE > Produção > DIDSR > Determining aboveground biomass...
Arranjo 3INPE > Produção > SER > Determining aboveground biomass...
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreementnão têm arquivos
Área de condições de acesso e uso
URL dos dadoshttp://urlib.net/rep/8JMKD3MGP5W34M/3HE6FE8
URL dos dados zipadoshttp://urlib.net/zip/8JMKD3MGP5W34M/3HE6FE8
Idiomaen
Arquivo Alvo92291E.pdf
Grupo de Usuáriosadministrator
marcelo.pazos@inpe.br
Visibilidadeshown
Permissão de Atualizaçãonão transferida
Área de fontes relacionadas
Repositório Espelhoiconet.com.br/banon/2006/11.26.21.31
Unidades Imediatamente Superiores8JMKD3MGPCW/3EQCCU5
8JMKD3MGPCW/3ER446E
8JMKD3MGPCW/3F3NU5S
Acervo Hospedeirosid.inpe.br/mtc-m21b/2013/09.26.14.25.20
Área de notas
Campos Vaziosaccessionnumber archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination edition editor electronicmailaddress format lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission rightsholder secondarydate secondarykey secondarymark serieseditor session shorttitle sponsor subject tertiarymark tertiarytype type url
Área de identificação
Tipo de ReferênciaArtigo em Evento (Conference Proceedings)
Sitemtc-m21b.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34P/3HP89AS
Repositóriosid.inpe.br/mtc-m21b/2015/01.13.18.16.36
Última Atualização2015:01.14.17.42.46 marciana
Metadadossid.inpe.br/mtc-m21b/2015/01.13.18.16.37
Última Atualização dos Metadados2018:06.04.03.04.44 administrator
DOI10.1109/IGARSS.2014.6947429
ISBN9781479957750
Rótuloscopus 2015-01 ShimabukuroBeuGreSimAch:2014:AsBuAr
Chave de CitaçãoShimabukuroBeuGreSimAch:2014:AsBuAr
TítuloAssessment of burned areas in Mato Grosso State, Brazil, from a systematic sample of medium resolution satellite imagery
Ano2014
Data de Acesso26 fev. 2021
Número de Arquivos1
Tamanho286 KiB
Área de contextualização
Autor1 Shimabukuro, Yosio Edemir
2 Beuchle, R.
3 Grecchi, R. C.
4 Simonetti, D.
5 Achard, F.
Identificador de Curriculo1 8JMKD3MGP5W/3C9JJCQ
Grupo1 DSR-OBT-INPE-MCTI-GOV-BR
Afiliação1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Joint Research Centre of the European Commission, Institute for Environment and Sustainability (IES)Ispra, Italy
3 Joint Research Centre of the European Commission, Institute for Environment and Sustainability (IES)Ispra, Italy
4 Arcadia SIT, Joint Research Centre of the European Commission, Institute for Environment and Sustainability (IES)Ispra, Italy
5 Joint Research Centre of the European Commission, Institute for Environment and Sustainability (IES)Ispra, Italy
Endereço de e-Mailmarcelo.pazos@inpe.br
Nome do EventoInternational Geoscience and Remote Sensing Symposium, (IGARSS).
Localização do EventoQuebec City
Data13-18 July 2014
Páginas4257-4259
Título do LivroProceedings
Editora (Publisher)IEEE
Tipo SecundárioPRE CI
Tipo TerciárioArtigo
OrganizaçãoThe Institute of Electrical and Electronics Engineers Geoscience and Remote Sensing Society (IEEE GRSS)
Histórico2016-06-04 05:06:57 :: administrator -> marciana :: 2014
2016-08-19 14:28:02 :: marciana -> administrator :: 2014
2018-06-04 03:04:44 :: administrator -> marciana :: 2014
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-ChaveBrazilian Amazon, Burned areas, Landsat TM, Sampling approach.
ResumoThis paper presents a method for mapping and assessing burned areas at a regional scale, using a systematic sample of medium spatial resolution satellite images (Landsat). The State of Mato Grosso, located in the Brazilian Amazon region, comprising an area of approximately 903,366 km, was selected for this study. 77 sample sites (20km x 20km in size) located at each full degree confluence of latitude and longitude were analyzed. The results showed that 52,663 km or approximately 5.8% of the State land cover was burned in 2010. Our method produced results comparable with PanAmazonia Project data and useful for evaluating burned area products based on coarse spatial resolution imagery like MODIS or SPOT-VEGETATION.
AreaSRE
ArranjoINPE > Produção > DIDSR > Assessment of burned...
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreementnão têm arquivos
Área de condições de acesso e uso
URL dos dadoshttp://urlib.net/rep/8JMKD3MGP3W34P/3HP89AS
URL dos dados zipadoshttp://urlib.net/zip/8JMKD3MGP3W34P/3HP89AS
Idiomaen
Arquivo Alvo06947429yosio.pdf
Grupo de Usuáriosadministrator
marcelo.pazos@inpe.br
marciana
Grupo de Leitoresadministrator
marciana
Visibilidadeshown
Permissão de Leituraallow from all
Permissão de Atualizaçãonão transferida
Área de fontes relacionadas
VinculaçãoTrabalho não Vinculado à Tese/Dissertação
Unidades Imediatamente Superiores8JMKD3MGPCW/3ER446E
Acervo Hospedeirosid.inpe.br/mtc-m21b/2013/09.26.14.25.20
Área de notas
Campos Vaziosaccessionnumber archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination edition editor electronicmailaddress format issn lineage mark mirrorrepository nextedition notes numberofvolumes orcid parameterlist parentrepositories previousedition previouslowerunit progress project publisheraddress rightsholder secondarydate secondarykey secondarymark serieseditor session shorttitle sponsor subject type url volume