| |
|
|
|
Registro Completo |
|
Biblioteca(s): |
Embrapa Rondônia. |
|
Data corrente: |
14/01/2021 |
|
Data da última atualização: |
14/01/2021 |
|
Tipo da produção científica: |
Capítulo em Livro Técnico-Científico |
|
Autoria: |
ANTUNES, E.; OLIVEIRA, V. B. V.; RAMOS, R. G. C.; ESCOBAR, J. L.; COSTA, J. R. da; SOUZA, R. B. de; TURAZI, C. M. V. |
|
Afiliação: |
ELIZABETE ANTUNES, SIN; VANIA BEATRIZ VASCONCELOS OLIVEIRA, CPAF-RO; ROSANA GUEDES CORDEIRO RAMOS, SIN; JULIANA LUCIA ESCOBAR, SIRE; JOANNE REGIS DA COSTA, CPAA; RONESSA BARTOLOMEU DE SOUZA, SIN; CAROLINE MACHADO VASCONCELOS TURAZI, SIN. |
|
Título: |
Information for citizenship action and sustainable development promotion. |
|
Ano de publicação: |
2020 |
|
Fonte/Imprenta: |
In: PALHARES, J. C. P.; OLIVEIRA, V. B. V.; FREIRE JUNIOR, M.; CERDEIRA, A. L.; PRADO, H. A. do (Ed.). Responsible consumption and production: contributions of Embrapa. Brasília, DF: Embrapa, 2020. |
|
Páginas: |
Ch. 9, p. 75-86. |
|
Série: |
(Sustainable development goals, 12). |
|
ISBN: |
978-65-86056-48-8 |
|
Idioma: |
Inglês |
|
Notas: |
Translated by Paulo de Holanda Morais. |
|
Conteúdo: |
This chapter is related to target 12.8, which aims to ensure that, by 2040, people everywhere have relevant information and awareness for sustainable development and lifestyles in harmony with nature. Based on the mission and guidelines of the Brazilian Agricultural Research Corporation (Embrapa) and the technological solutions it provides, the focus is mainly on delivering information from scientific research results, the source of which is the scientific researcher, who is the spokesperson for relevant information that should reach people everywhere. Other important social actors in this process are professionals working in communication and education who, based on this information, will express it under different forms, in order to encourage consumer taking citizenship action. This important link in the productive chain also represents the ordinary citizen who is required to act in favor of sustainable development. |
|
Palavras-Chave: |
Acesso à informação; Ações de comunicação; Cidadania; Communication actions; Disseminação da informação; Information access. |
|
Thesagro: |
Desenvolvimento Sustentável. |
|
Thesaurus Nal: |
Citizen participation; Civic education; Information dissemination; Sustainable development. |
|
Categoria do assunto: |
-- |
|
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/220313/1/cpafro-18505.pdf
|
|
Marc: |
LEADER 02240naa a2200373 a 4500
001 2129338
005 2021-01-14
008 2020 bl uuuu u00u1 u #d
020 $a978-65-86056-48-8
100 1 $aANTUNES, E.
245 $aInformation for citizenship action and sustainable development promotion.$h[electronic resource]
260 $c2020
300 $aCh. 9, p. 75-86.
490 $a(Sustainable development goals, 12).
500 $aTranslated by Paulo de Holanda Morais.
520 $aThis chapter is related to target 12.8, which aims to ensure that, by 2040, people everywhere have relevant information and awareness for sustainable development and lifestyles in harmony with nature. Based on the mission and guidelines of the Brazilian Agricultural Research Corporation (Embrapa) and the technological solutions it provides, the focus is mainly on delivering information from scientific research results, the source of which is the scientific researcher, who is the spokesperson for relevant information that should reach people everywhere. Other important social actors in this process are professionals working in communication and education who, based on this information, will express it under different forms, in order to encourage consumer taking citizenship action. This important link in the productive chain also represents the ordinary citizen who is required to act in favor of sustainable development.
650 $aCitizen participation
650 $aCivic education
650 $aInformation dissemination
650 $aSustainable development
650 $aDesenvolvimento Sustentável
653 $aAcesso à informação
653 $aAções de comunicação
653 $aCidadania
653 $aCommunication actions
653 $aDisseminação da informação
653 $aInformation access
700 1 $aOLIVEIRA, V. B. V.
700 1 $aRAMOS, R. G. C.
700 1 $aESCOBAR, J. L.
700 1 $aCOSTA, J. R. da
700 1 $aSOUZA, R. B. de
700 1 $aTURAZI, C. M. V.
773 $tIn: PALHARES, J. C. P.; OLIVEIRA, V. B. V.; FREIRE JUNIOR, M.; CERDEIRA, A. L.; PRADO, H. A. do (Ed.). Responsible consumption and production: contributions of Embrapa. Brasília, DF: Embrapa, 2020.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Rondônia (CPAF-RO) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
|
|
|
 | Acesso ao texto completo restrito à biblioteca da Embrapa Solos. Para informações adicionais entre em contato com cnps.biblioteca@embrapa.br. |
Registro Completo
|
Biblioteca(s): |
Embrapa Solos. |
|
Data corrente: |
29/06/2020 |
|
Data da última atualização: |
02/07/2020 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Circulação/Nível: |
A - 1 |
|
Autoria: |
MOURA-BUENO, J. M.; DALMOLIN, R. S. D.; HORST-HEINEN, T. Z.; CATEN, A. ten; VASQUES, G. de M.; DOTTO, A. C.; GRUNWALD, S. |
|
Afiliação: |
JEAN MICHEL MOURA-BUENO, UFSM; RICARDO SIMÃO DINIZ DALMOLIN, UFSM; TACIARA ZBOROWSKI HORST-HEINEN, UFSM; ALEXANDRE TEN CATEN, UFSC; GUSTAVO DE MATTOS VASQUES, CNPS; ANDRÉ CARNIELETTO DOTTO, ESALQ; SABINE GRUNWALD, UNIVERSITY OF FLORIDA. |
|
Título: |
When does stratification of a subtropical soil spectral library improve predictions of soil organic carbon content? |
|
Ano de publicação: |
2020 |
|
Fonte/Imprenta: |
Science of The Total Environment, v. 737, 139895, Oct. 2020. |
|
DOI: |
https://doi.org/10.1016/j.scitotenv.2020.139895 |
|
Idioma: |
Inglês |
|
Conteúdo: |
More accurate models for the prediction of soil organic carbon (SOC) by visible-near-infrared (Vis-NIR) spectroscopy remains a challenging task, especially when the soil spectral libraries (SSL) is composed of soils with a high pedological variation. One proposition to increase the models accuracy is to reduce the SSL variance, which can be achieved by stratifying the library into sub-libraries. Thus, the main objective of this study was to evaluate whether the stratification of a SSL by environmental, pedological and Vis-NIR spectral criteria results in greater accuracy of spectroscopic models than to general models for prediction of SOC content. The performance of the models was evaluated considering the variance of soil components and sample number. In addition, we tested the effect of two spectral preprocessing techniques and two multivariate calibration methods on spectroscopic modeling. For these purposes, a SSL composed of 2471 samples from Southern Brazil was stratified based on i) physiographic region; ii) land-use/land-cover; iii) soil texture, and iv) spectral class. Two spectral processing techniques: Savitzky-Golay - 1st derivative (SGD) and continuum removed reflectance (CRR) and two multivariate methods (partial least squares regression - PLSR and Cubist) were used to fit the models. The best performances for the global and local models were achieved with the CRR spectral processing associated with the Cubist method. The stratification of the SSL in more homogeneous sample groups by environmental criteria (physiographic regions and land-use/land-cover) improved the accuracy of SOC predictions compared to pedological (soil texture) and Vis-NIR spectral (spectral classes) criteria. The reduction in the number of samples negatively affected the performance of models for sub-libraries with high pedological and spectral variation. Stratification criteria were proposed in a flowchart to assist in decision making in future studies. Our findings suggest the importance of sample balance across environmental, pedological and spectral strata, in order to optimize SOC predictions. MenosMore accurate models for the prediction of soil organic carbon (SOC) by visible-near-infrared (Vis-NIR) spectroscopy remains a challenging task, especially when the soil spectral libraries (SSL) is composed of soils with a high pedological variation. One proposition to increase the models accuracy is to reduce the SSL variance, which can be achieved by stratifying the library into sub-libraries. Thus, the main objective of this study was to evaluate whether the stratification of a SSL by environmental, pedological and Vis-NIR spectral criteria results in greater accuracy of spectroscopic models than to general models for prediction of SOC content. The performance of the models was evaluated considering the variance of soil components and sample number. In addition, we tested the effect of two spectral preprocessing techniques and two multivariate calibration methods on spectroscopic modeling. For these purposes, a SSL composed of 2471 samples from Southern Brazil was stratified based on i) physiographic region; ii) land-use/land-cover; iii) soil texture, and iv) spectral class. Two spectral processing techniques: Savitzky-Golay - 1st derivative (SGD) and continuum removed reflectance (CRR) and two multivariate methods (partial least squares regression - PLSR and Cubist) were used to fit the models. The best performances for the global and local models were achieved with the CRR spectral processing associated with the Cubist method. The stratification of the SSL in more homog... Mostrar Tudo |
|
Palavras-Chave: |
Aprendizagem ambiental; Carbono orgânico do solo; Environmental-based learning; Modelos espectrais; SOC variance; Spectral models; Spectral variation; Variação espectral; Vis-NIR data mining. |
|
Thesaurus NAL: |
Soil organic carbon. |
|
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
|
Marc: |
LEADER 03175naa a2200325 a 4500
001 2123501
005 2020-07-02
008 2020 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1016/j.scitotenv.2020.139895$2DOI
100 1 $aMOURA-BUENO, J. M.
245 $aWhen does stratification of a subtropical soil spectral library improve predictions of soil organic carbon content?$h[electronic resource]
260 $c2020
520 $aMore accurate models for the prediction of soil organic carbon (SOC) by visible-near-infrared (Vis-NIR) spectroscopy remains a challenging task, especially when the soil spectral libraries (SSL) is composed of soils with a high pedological variation. One proposition to increase the models accuracy is to reduce the SSL variance, which can be achieved by stratifying the library into sub-libraries. Thus, the main objective of this study was to evaluate whether the stratification of a SSL by environmental, pedological and Vis-NIR spectral criteria results in greater accuracy of spectroscopic models than to general models for prediction of SOC content. The performance of the models was evaluated considering the variance of soil components and sample number. In addition, we tested the effect of two spectral preprocessing techniques and two multivariate calibration methods on spectroscopic modeling. For these purposes, a SSL composed of 2471 samples from Southern Brazil was stratified based on i) physiographic region; ii) land-use/land-cover; iii) soil texture, and iv) spectral class. Two spectral processing techniques: Savitzky-Golay - 1st derivative (SGD) and continuum removed reflectance (CRR) and two multivariate methods (partial least squares regression - PLSR and Cubist) were used to fit the models. The best performances for the global and local models were achieved with the CRR spectral processing associated with the Cubist method. The stratification of the SSL in more homogeneous sample groups by environmental criteria (physiographic regions and land-use/land-cover) improved the accuracy of SOC predictions compared to pedological (soil texture) and Vis-NIR spectral (spectral classes) criteria. The reduction in the number of samples negatively affected the performance of models for sub-libraries with high pedological and spectral variation. Stratification criteria were proposed in a flowchart to assist in decision making in future studies. Our findings suggest the importance of sample balance across environmental, pedological and spectral strata, in order to optimize SOC predictions.
650 $aSoil organic carbon
653 $aAprendizagem ambiental
653 $aCarbono orgânico do solo
653 $aEnvironmental-based learning
653 $aModelos espectrais
653 $aSOC variance
653 $aSpectral models
653 $aSpectral variation
653 $aVariação espectral
653 $aVis-NIR data mining
700 1 $aDALMOLIN, R. S. D.
700 1 $aHORST-HEINEN, T. Z.
700 1 $aCATEN, A. ten
700 1 $aVASQUES, G. de M.
700 1 $aDOTTO, A. C.
700 1 $aGRUNWALD, S.
773 $tScience of The Total Environment$gv. 737, 139895, Oct. 2020.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Solos (CNPS) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
|
| Expressão de busca inválida. Verifique!!! |
|
|
