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2 referências similares encontradas (inclusive a original) buscando em 22 dentre 22 Arquivos.
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1. Identificação
Tipo de ReferênciaArtigo em Evento (Conference Proceedings)
Sitemtc-m21c.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34R/3UHGCPH
Repositóriosid.inpe.br/mtc-m21c/2019/12.10.12.52
Última Atualização2021:03.12.14.25.18 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21c/2019/12.10.12.52.37
Última Atualização dos Metadados2021:03.12.14.25.19 (UTC) simone
Chave SecundáriaINPE--PRE/
Chave de CitaçãoBontempoVale:2019:SuFlCo
TítuloSun-Induced Fluorescence's Correlation to Carbon-Flux Increases When Raw Data is Adjusted to Account for Vegetation Biochemistry and Structure
Ano2019
Data de Acesso16 maio 2024
Tipo SecundárioPRE CI
Número de Arquivos1
Tamanho4021 KiB
2. Contextualização
Autor1 Bontempo, Edgard
2 Valeriano, Dalton de Morisson
Identificador de Curriculo1
2 8JMKD3MGP5W/3C9JGT4
Grupo1 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
2 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
Afiliação1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor1
2 dalton.valeriano@inpe.br
Nome do EventoAGU Fall Meeting
Localização do EventoSan Francisco, CA
Data09-13 dec.
Histórico (UTC)2019-12-10 12:52:37 :: simone -> administrator ::
2019-12-12 12:16:44 :: administrator -> simone :: 2019
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
ResumoThe quantification and monitoring of photosynthesis are essential to understand the global carbon cycle and vegetation's responses to climate. Among the different remotely-sensed photosynthesis-related variables, Sun-Induced chlorophyll a Fluorescence (SIF) is especially promising since it results directly from photochemical energy conversion but uncertainties still complicate its interpretation. Recent studies have pointed to the influences of vegetation biochemistry and structure on radiative transfer as the main confounding factors for the use of SIF as a photosynthesis proxy. Leaf-level fluorescence research has shown that such influences may be removed by adjusting the raw fluorescence signal to the emitting leafs spectra and we suggest that this can be upscaled to the landscape level. In this study we present and test new Spectrally-Adjusted SIF formulations (SASIFs), along with previously proposed SIF modifications and other acknowledged photosynthesis productivity proxies, against carbon-flux data from vegetation of diverse structure. Accordingly, we used Gross Primary Productivity (GPP) data spanning periods from two to seven years, from 27 FLUXNET sites classified into different Land Cover Classes (LCCs) as defined by the International Geosphere-Biosphere Programme (IGBP). The data tested against GPP was calculated with GOME-2 SIF data, MODIS reflectance and spectral vegetation indices, and it included: NIRV, SIF from the red and the far-red frequency peaks, SIF normalized by the cosine of the Suns zenith angle, SIF-yield, new SASIFs and FLUXCOM GPP. The relationships between all variables and FLUXNET GPP were tested using time-series decomposition, site- and LCC-specific Kendalls rank correlation tests and linear mixed model analysis. Results show that one of our new SASIFs has the best overall correlation to FLUXNET GPP among all tested data. Our LCC-specific analysis demonstrates the influences of biochemistry, phenology, temporal resolution and vegetation structure on the relationships between the tested variables. Results support the idea that chlorophyll fluorescence can be complemented with reflectance data improving our ability to monitor vegetation productivity and predict climate-driven changes to standing biomass in spite of their particular limitations.
ÁreaSRE
Arranjourlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Sun-Induced Fluorescence's Correlation...
Conteúdo da Pasta docacessar
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agreement.html 10/12/2019 09:52 1.0 KiB 
4. Condições de acesso e uso
URL dos dadoshttp://urlib.net/ibi/8JMKD3MGP3W34R/3UHGCPH
URL dos dados zipadoshttp://urlib.net/zip/8JMKD3MGP3W34R/3UHGCPH
Idiomaen
Arquivo Alvobontempo_sun.pdf
Grupo de Usuáriossimone
Grupo de Leitoresadministrator
simone
Visibilidadeshown
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Repositório Espelhourlib.net/www/2017/11.22.19.04.03
Unidades Imediatamente Superiores8JMKD3MGPCW/3ER446E
Lista de Itens Citandosid.inpe.br/mtc-m21/2012/07.13.14.44.17 1
Acervo Hospedeirourlib.net/www/2017/11.22.19.04
6. Notas
Campos Vaziosarchivingpolicy archivist booktitle callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi e-mailaddress edition editor format isbn issn keywords label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisher publisheraddress readpermission rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle sponsor subject tertiarymark tertiarytype type url versiontype volume
7. Controle da descrição
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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21b.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34P/3MQPRUS
Repositóriosid.inpe.br/mtc-m21b/2016/11.17.18.31
Última Atualização2016:11.17.18.31.38 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21b/2016/11.17.18.31.38
Última Atualização dos Metadados2018:06.04.02.41.19 (UTC) administrator
DOI10.1117/1.JRS.10.036021
ISSN1931-3195
Chave de CitaçãoPereiraKampCunh:2016:MaVeSt
TítuloMangrove vegetation structure in Southeast Brazil from phased array L-band synthetic aperture radar data
Ano2016
MêsJuly
Data de Acesso16 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho4150 KiB
2. Contextualização
Autor1 Pereira, Francisca Rocha de Souza
2 Kampel, Milton
3 Cunha-Lignon, Marília
Identificador de Curriculo1
2 8JMKD3MGP5W/3C9JHTG
Grupo1 SER-SRE-SPG-INPE-MCTI-GOV-BR
2 DSR-OBT-INPE-MCTI-GOV-BR
Afiliação1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Universidade Estadual Paulista (UNESP)
Endereço de e-Mail do Autor1 franrspereira@gmail.com
2 milton.kampel@inpe.br
RevistaJournal of Applied Remote Sensing
Volume10
Número3
Páginas036021
Nota SecundáriaA2_GEOGRAFIA B1_GEOCIÊNCIAS B1_CIÊNCIAS_AGRÁRIAS_I B1_BIODIVERSIDADE B5_CIÊNCIAS_AMBIENTAIS
Histórico (UTC)2016-11-17 18:31:38 :: simone -> administrator ::
2016-11-17 18:31:38 :: administrator -> simone :: 2016
2016-11-17 18:32:20 :: simone -> administrator :: 2016
2018-06-04 02:41:19 :: administrator -> simone :: 2016
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
Palavras-Chavemangrove
phased array type L-band synthetic aperture radar
physiographic types
synthetic aperture radar
vegetation structure development
ResumoThe potential use of phased array type L-band synthetic aperture radar (PALSAR) data for discriminating distinct physiographic mangrove types with different forest structure developments in a subtropical mangrove forest located in Cananeia on the Southern coast of Sao Paulo, Brazil, is investigated. The basin and fringe physiographic types and the structural development of mangrove vegetation were identified with the application of the Kruskal-Wallis statistical test to the SAR backscatter values of 10 incoherent attributes. The best results to separate basin to fringe types were obtained using copolarized HH, cross-polarized HV, and the biomass index (BMI). Mangrove structural parameters were also estimated using multiple linear regressions. BMI and canopy structure index were used as explanatory variables for canopy height, mean height, and mean diameter at breast height regression models, with significant R2 = 0.69, 0.73, and 0.67, respectively. The current study indicates that SAR L-band images can be used as a tool to discriminate physiographic types and to characterize mangrove forests. The results are relevant considering the crescent availability of freely distributed SAR images that can be more utilized for analysis, monitoring, and conservation of the mangrove ecosystem.
ÁreaSRE
Arranjo 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Mangrove vegetation structure...
Arranjo 2urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > Mangrove vegetation structure...
Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreement
agreement.html 17/11/2016 16:31 1.0 KiB 
4. Condições de acesso e uso
URL dos dadoshttp://mtc-m21b.sid.inpe.br/ibi/8JMKD3MGP3W34P/3MQPRUS
URL dos dados zipadoshttp://mtc-m21b.sid.inpe.br/zip/8JMKD3MGP3W34P/3MQPRUS
Idiomaen
Arquivo Alvopereira_mangrove.pdf
Grupo de Usuáriossimone
Grupo de Leitoresadministrator
simone
Visibilidadeshown
Política de Arquivamentoallowpublisher allowfinaldraft
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Repositório Espelhourlib.net/www/2011/03.29.20.55
Unidades Imediatamente Superiores8JMKD3MGPCW/3ER446E
8JMKD3MGPCW/3F3NU5S
Lista de Itens Citandosid.inpe.br/bibdigital/2013/10.18.22.34 1
sid.inpe.br/mtc-m21/2012/07.13.14.56.38 1
DivulgaçãoWEBSCI; PORTALCAPES; COMPENDEX; SCOPUS.
Acervo Hospedeirosid.inpe.br/mtc-m21b/2013/09.26.14.25.20
6. Notas
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readpermission rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url
7. Controle da descrição
e-Mail (login)simone
atualizar