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A expressão de busca foi <{ref journal or {ref conference and not {conferencen WORCAP 19 or conferencen WETE 10 or conferencen SBSR 19 or conferencen GEOINFO 20}} or ref book} and y 2019 and not secondaryt NTC and not secondaryt PUD and not secondaryt MAN and lab self-archiving-INPE-MCTIC-GOV-BR and firstg *CGOBT-INPE-MCTIC-GOV-BR>.
4 referências encontradas buscando em 20 dentre 20 Arquivos.
Data e hora local de busca: 13/07/2025 06:05.
1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21c.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34R/3T3CDB5
Repositóriosid.inpe.br/mtc-m21c/2019/04.01.10.35   (acesso restrito)
Última Atualização2019:04.01.10.37.06 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21c/2019/04.01.10.35.26
Última Atualização dos Metadados2020:01.06.11.42.11 (UTC) administrator
DOI10.3390/f10010014
ISSN1999-4907
Rótuloself-archiving-INPE-MCTIC-GOV-BR
Chave de CitaçãoAguilosSBHCCWZTB:2019:InSeVa
TítuloInterannual and seasonal variations in ecosystem transpiration and water use efficiency in a tropical rainforest
Ano2019
Mêsjan.
Data de Acesso13 jul. 2025
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho4448 KiB
2. Contextualização
Autor 1 Aguilos, Maricar
 2 Stahl, Clément
 3 Burban, Benoit
 4 Hérault, Bruno
 5 Courtois, Elodie
 6 Coste, Sabrina
 7 Wagner, Fabien Hubert
 8 Ziegler, Camille
 9 Takagi, Kentaro
10 Bona, Damien
Grupo 1
 2
 3
 4
 5
 6
 7 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
Afiliação 1 Université des Antille
 2 Université des Antille
 3 Université des Antille
 4 Université de Montpellier
 5 Université de Guyane
 6 Université des Antille
 7 Instituto Nacional de Pesquisas Espaciais (INPE)
 8 Université des Antille
 9 Hokkaido University
10 Université de Lorraine
RevistaForests
Volume10
Número1
Páginase14
Nota SecundáriaB2_INTERDISCIPLINAR B5_SOCIOLOGIA B5_CIÊNCIAS_AMBIENTAIS B5_CIÊNCIAS_AGRÁRIAS_I
Histórico (UTC)2019-04-01 10:37:06 :: simone -> administrator :: 2019
2020-01-06 11:42:11 :: administrator -> simone :: 2019
3. Conteúdo e estrutura
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Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
Palavras-Chavetropical rainforest
evapotranspiration
water use efficiency
drought
radiation
ResumoWarmer and drier climates over Amazonia have been predicted for the next century with expected changes in regional water and carbon cycles. We examined the impact of interannual and seasonal variations in climate conditions on ecosystem-level evapotranspiration (ET) and water use efficiency (WUE) to determine key climatic drivers and anticipate the response of these ecosystems to climate change. We used daily climate and eddyflux data recorded at the Guyaflux site in French Guiana from 2004 to 2014. ET and WUE exhibited weak interannual variability. The main climatic driver of ET and WUE was global radiation (Rg), but relative extractable water (REW) and soil temperature (Ts) did also contribute. At the seasonal scale, ET and WUE showed a modal pattern driven by Rg, with maximum values for ET in July and August and for WUE at the beginning of the year. By removing radiation effects during water depleted periods, we showed that soil water stress strongly reduced ET. In contrast, drought conditions enhanced radiation-normalized WUE in almost all the years, suggesting that the lack of soil water had a more severe effect on ecosystem evapotranspiration than on photosynthesis. Our results are of major concern for tropical ecosystem modeling because they suggest that under future climate conditions, tropical forest ecosystems will be able to simultaneously adjust CO2 and H2O fluxes. Yet, for tropical forests under future conditions, the direction of change in WUE at the ecosystem scale is hard to predict, since the impact of radiation on WUE is counterbalanced by adjustments to soil water limitations. Developing mechanistic models that fully integrate the processes associated with CO2 and H2O flux control should help researchers understand and simulate future functional adjustments in these ecosystems.
ÁreaSRE
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4. Condições de acesso e uso
Idiomaen
Arquivo Alvoforests-10-00014-v2.pdf
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5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/3ER446E
Lista de Itens Citandosid.inpe.br/bibdigital/2013/09.13.21.11 - 14
DivulgaçãoWEBSCI
Acervo Hospedeirourlib.net/www/2017/11.22.19.04
6. Notas
Campos Vaziosalternatejournal archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress electronicmailaddress format isbn lineage mark mirrorrepository nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project resumeid rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url
7. Controle da descrição
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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21c.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34R/3TJBCUP
Repositóriosid.inpe.br/mtc-m21c/2019/07.02.11.23   (acesso restrito)
Última Atualização2019:07.02.11.23.36 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21c/2019/07.02.11.23.36
Última Atualização dos Metadados2020:01.06.11.42.15 (UTC) administrator
DOI10.1080/17538947.2018.1474958
ISSN1753-8947
Rótuloself-archiving-INPE-MCTIC-GOV-BR
Chave de CitaçãoNegriFreSilMenDut:2019:ReClPo
TítuloRegion-based classification of PolSAR data using radial basis kernel functions with stochastic distances
Ano2019
MêsJune
Data de Acesso13 jul. 2025
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho5248 KiB
2. Contextualização
Autor1 Negri, Rogério Galante
2 Frery, Alejandro C.
3 Silva, Wagner B.
4 Mendes, Tatiana Sussel Gonçalves
5 Dutra, Luciano Vieira
Identificador de Curriculo1
2
3
4
5 8JMKD3MGP5W/3C9JHMA
ORCID1 0000-0002-4808-2362
2 0000-0002-8002-5341
3 0000-0002-5686-5105
4 0000-0002-0421-5311
5 0000-0002-7757-039X
Grupo1
2
3
4
5 DIDPI-CGOBT-INPE-MCTIC-GOV-BR
Afiliação1 Universidade Estadual Paulista (UNESP)
2 Universidade Federal de Alagoas (UFAL)
3 Instituto Militar de Engenharia (IME)
4 Universidade Estadual Paulista (UNESP)
5 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor1 rogerio.negri@unesp.br
2
3
4
5 luciano.dutra@inpe.br
RevistaInternational Journal of Digital Earth
Volume12
Número6
Páginas699-719
Nota SecundáriaA2_INTERDISCIPLINAR A2_GEOGRAFIA B3_GEOCIÊNCIAS
Histórico (UTC)2019-07-02 11:24:54 :: simone -> administrator :: 2019
2020-01-06 11:42:15 :: administrator -> simone :: 2019
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-ChavePolSAR
image classification
stochastic distance
minimum distance classifier
SVM
ResumoRegion-based classification of PolSAR data can be effectively performed by seeking for the assignment that minimizes a distance between prototypes and segments. Silva et al. [Classification of segments in PolSAR imagery by minimum stochastic distances between wishart distributions. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 6 (3): 12631273] used stochastic distances between complex multivariate Wishart models which, differently from other measures, are computationally tractable. In this work we assess the robustness of such approach with respect to errors in the training stage, and propose an extension that alleviates such problems. We introduce robustness in the process by incorporating a combination of radial basis kernel functions and stochastic distances with Support Vector Machines (SVM). We consider several stochastic distances between Wishart: Bhatacharyya, Kullback-Leibler, Chi-Square, Rényi, and Hellinger. We perform two case studies with PolSAR images, both simulated and from actual sensors, and different classification scenarios to compare the performance of Minimum Distance and SVM classification frameworks. With this, we model the situation of imperfect training samples. We show that SVM with the proposed kernel functions achieves better performance with respect to Minimum Distance, at the expense of more computational resources and the need of parameter tuning. Code and data are provided for reproducibility.
ÁreaSRE
Arranjourlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > Region-based classification of...
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4. Condições de acesso e uso
Idiomaen
Arquivo AlvoRegion based classification of PolSAR data using radial basis kernel functions with stochastic distances.pdf
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5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/3EQCCU5
Lista de Itens Citandosid.inpe.br/bibdigital/2013/09.09.15.05 - 17
sid.inpe.br/mtc-m21/2012/07.13.14.53.50 - 9
DivulgaçãoWEBSCI; PORTALCAPES; SCOPUS.
Acervo Hospedeirourlib.net/www/2017/11.22.19.04
6. Notas
Campos Vaziosalternatejournal archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn lineage mark mirrorrepository nextedition notes parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url
7. Controle da descrição
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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21c.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34R/3TAS68L
Repositóriosid.inpe.br/mtc-m21c/2019/05.17.15.03   (acesso restrito)
Última Atualização2019:05.17.15.03.22 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21c/2019/05.17.15.03.22
Última Atualização dos Metadados2020:01.06.11.42.14 (UTC) administrator
DOI10.1016/j.jag.2018.06.016
ISSN0303-2434
Rótuloself-archiving-INPE-MCTIC-GOV-BR
Chave de CitaçãoSilveiraGalSanSáTau:2019:UsMSAi
TítuloUse of MSI/Sentinel-2 and airborne LiDAR data for mapping vegetation and studying the relationships with soil attributes in the Brazilian semi-arid region
Ano2019
MêsDec.
Data de Acesso13 jul. 2025
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho4569 KiB
2. Contextualização
Autor1 Silveira, Hilton Luís Ferraz da
2 Galvão, Lênio Soares
3 Sanches, Ieda Del'Arco
4 Sá, Iedo Bezerra de
5 Taura, Tatiana Ayako
Identificador de Curriculo1
2 8JMKD3MGP5W/3C9JHLF
Grupo1
2 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
3 DIDPI-CGOBT-INPE-MCTIC-GOV-BR
Afiliação1 Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA)
5 Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA)
Endereço de e-Mail do Autor1
2 lenio.galvao@inpe.br
3 ieda.sanches@inpe.br
RevistaInternational Journal of Applied Earth Observation and Geoinformation
Volume73
Páginas179-190
Nota SecundáriaB1_GEOCIÊNCIAS
Histórico (UTC)2019-05-17 15:03:22 :: simone -> administrator ::
2019-05-17 15:03:30 :: administrator -> simone :: 2019
2019-05-17 15:04:09 :: simone -> administrator :: 2019
2020-01-06 11:42:14 :: administrator -> simone :: 2019
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-ChaveCaatinga
Random forest
Classification
Principal components analysis
Kriging
ResumoThe Caatinga is an important ecosystem in the semi-arid region of northeast Brazil and a natural laboratory for the study of plant adaptation to seasonal water stress or prolonged droughts. The soil water availability for plants depends on plant root depth and soil properties. Here, we combined for the first time the remote sensing classification of Caatinga physiognomies with soil information derived from geostatistical analysis to relate vegetation distribution with physico-chemical attributes of soils. We evaluated the potential of multi-temporal data acquired by the MultiSpectral Instrument (MSI)/Sentinel-2 for Random Forest (RF) classification of seven physiognomies. In addition, we analyzed the contribution of airborne LiDAR metrics to improve classification accuracy compared to six vegetation indices (VIs) and 10 reflectance bands from the MSI instrument. Using a detailed soil survey, the spatial distribution of the vegetation physiognomies mapped by RF was associated with the variability of 20 physico-chemical attributes of 75 soil profiles submitted to principal components analysis (PCA) and ordinary kriging. The results showed gains in overall classification accuracy with use of the multi-temporal data over the mono-temporal observations. Gains in classification of arboreous Caatinga were also observed after the insertion of LiDAR metrics in the analysis, especially the percentage of vegetation cover with height greater than 5 m, the terrain elevation and the standard deviation of vegetation height. Overall, the most important metrics for classification were the VIs, especially the Enhanced Vegetation Index (EVI), Normalized Difference Infrared Index (NDII-1), Optimized Soil-Adjusted Vegetation Index (OSAVI) and the Normalized Difference Vegetation Index (NDVI). The most important MSI/Sentinel-2 bands were positioned in the red-edge spectral interval. From PCA, soil attributes responsible for most of the data variance were related to soil fertility, soil depth and rock fragments in the surface horizon. The amounts of gravels and pebbles were factors of physiognomic variability with shrub and sub-shrub Caatinga occurring preferentially over shallow and stony soils. By contrast, arboreous Caatinga occurred over soils with total profile depth greater than 1 m. Finally, areas of sub-shrub Caatinga had greater values of cation exchange capacity (CEC) and water retention at field capacity than areas of arboreous Caatinga. The differences were statistically significant at 95% confidence level, as indicated by Mann-Whitney U tests.
ÁreaSRE
Arranjo 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > Use of MSI/Sentinel-2...
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4. Condições de acesso e uso
Idiomaen
Arquivo AlvoSilveira_1-s2.0-S0303243418304483-main.pdf
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Política de Arquivamentodenypublisher denyfinaldraft24
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5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/3EQCCU5
8JMKD3MGPCW/3ER446E
Lista de Itens Citandosid.inpe.br/bibdigital/2013/09.09.15.05 - 11
sid.inpe.br/bibdigital/2013/09.13.21.11 - 6
sid.inpe.br/mtc-m21/2012/07.13.14.53.28 - 5
DivulgaçãoWEBSCI; PORTALCAPES; SCOPUS.
Acervo Hospedeirourlib.net/www/2017/11.22.19.04
6. Notas
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn lineage mark mirrorrepository nextedition notes number orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url
7. Controle da descrição
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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21c.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34R/3SMPQSH
Repositóriosid.inpe.br/mtc-m21c/2019/02.07.16.28   (acesso restrito)
Última Atualização2019:02.07.16.28.43 (UTC) administrator
Repositório de Metadadossid.inpe.br/mtc-m21c/2019/02.07.16.28.43
Última Atualização dos Metadados2020:01.06.11.42.09 (UTC) administrator
DOI10.1093/treephys/tpy062
ISSN0829-318X
Rótuloself-archiving-INPE-MCTIC-GOV-BR
Chave de CitaçãoVinyaMaBrFiBrAr:2019:EvWaCo
TítuloSeasonal changes in plant–water relations influence patterns of leaf display in Miombo woodlands: evidence of water conservative strategies
Ano2019
MêsJan.
Data de Acesso13 jul. 2025
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho788 KiB
2. Contextualização
Autor1 Vinya, Royd
2 Malhi, Yadvinder
3 Brown, Nick D.
4 Fisher, Joshua B.
5 Brodribb, Timothy
6 Aragão, Luiz Eduardo Oliveira e Cruz de
ORCID1 0000-0003-0478-2612
Grupo1
2
3
4
5
6 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
Afiliação1 Oxford University Centre for the Environment
2 Oxford University Centre for the Environment
3 University of Oxford
4 University of Tasmania
5
6 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor1 royd.vinya@cbu.ac.zm
2
3
4
5
6 luiz.aragao@inpe.br
RevistaTree Physiology
Volume39
Número1
Páginas104-112
Nota SecundáriaA1_CIÊNCIAS_AGRÁRIAS_I A1_BIODIVERSIDADE A2_CIÊNCIAS_AMBIENTAIS B1_CIÊNCIAS_BIOLÓGICAS_I C_CIÊNCIA_DE_ALIMENTOS
Histórico (UTC)2019-02-07 16:30:02 :: simone -> administrator :: 2019
2020-01-06 11:42:09 :: administrator -> simone :: 2019
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
ResumoWater availability has frequently been linked to seasonal leaf display in seasonally dry ecosystems, but there have been few ecohydrological investigations of this link. Miombo woodland is a dominant seasonally dry tropical forest ecosystem type in southern Africa; however, there are few data on the relationship between seasonal dynamics in plantwater relations and patterns of leaf display for Miombo woodland. Here we investigate this relationship among nine key Miombo woodland tree species differing in drought tolerance ability and leaf phenology. Results of this study showed that seasonal patterns of leaf phenology varied significantly with seasonal changes in stem water relations among the nine species. Leaf shedding coincided with the attainment of seasonal minimum stem water potential. Leaf flush occurred following xylem rehydration at the peak of the dry season suggesting that endogenous plant factors play a pivotal role in seasonal leaf display in this forest type. Drought-tolerant deciduous species suffered significantly higher seasonal losses in xylem hydraulic conductivity than the drought-intolerant semi-evergreen tree species (P < 0.05). There was a significant and positive correlation between species drought tolerance index and species seasonal loss in hydraulic conductivity (P < 0.05), confirming the ecological role of long-distance xylem transport in this seasonally dry tropical forest. Our results reveal that water stress in seasonally dry tropical forests selects for water conservative traits that protect the vulnerable xylem transport system. Therefore, seasonal rhythms in xylem transport dictate patterns of leaf display in seasonally dry tropical forests.
ÁreaSRE
Arranjourlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Seasonal changes in...
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Conteúdo da Pasta sourcenão têm arquivos
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4. Condições de acesso e uso
Idiomaen
Arquivo Alvovinya_seasonal.pdf
Grupo de Usuáriossimone
Visibilidadeshown
Permissão de Leituradeny from all and allow from 150.163
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5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/3ER446E
Acervo Hospedeirourlib.net/www/2017/11.22.19.04
6. Notas
Campos Vaziosalternatejournal archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination e-mailaddress format isbn keywords lineage mark mirrorrepository nextedition notes parameterlist parentrepositories previousedition previouslowerunit progress project readergroup resumeid rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url
7. Controle da descrição
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