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3. | | ÁVILA, S.; HORNUNG, P. S.; TEIXEIRA, G. L.; BEUX, M. R.; LAZZAROTTO, M.; RIBANI, R. H. A chemometric approach for moisture control in stingless bee honey using near infrared spectroscopy. Journal of Near Infrared Spectroscopy, v. 26, n. 6, p. 379-388, Dec. 2018. Biblioteca(s): Embrapa Florestas. |
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4. | | ÁVILA, S.; SILVA, T. M. F. S. S.; BEUX, M. R.; LAZZAROTTO, M.; RIBANI, R. H. Impacto da pasteurização e desumificação na qualidade de meis de Tetragonisca angustula. In: CONGRESSO BRASILEIRO DE APICULTURA, 22.; CONGRESSO BRASILEIRO DE MELIPONICULTURA, 7., 2018, Joinville. Polinização, tecnologia oportunidades e desafio para o criador de abelha no Brasil: anais. Joinville: CBA, 2018. p. 184. Biblioteca(s): Embrapa Florestas. |
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8. | | HORNUNG, P. S.; CORDOBA, L. do P.; LAZZAROTTO, S. R. da S.; SCHNITZLER, E.; LAZZAROTTO, M.; RIBANI, R. H. Brazilian dioscoreaceas starches: thermal, structural and rheological properties compared to commercial starches. Journal of Thermal Analysis and Calorimetry, v. 127, n. 3, p. 1869-1877, Mar. 2017. Biblioteca(s): Embrapa Florestas. |
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9. | | GODOY, R. C. B. de; GUENO, L. B.; DELIZA, R.; LICODIEDOFF, S.; FRIZZON, C. N. T.; RIBANI, R. H. Aceitabilidade de chá-mate (Ilex paraguariensis St. Hil.) em função do processamento e do percentual da mistura entre folhas e palitos. In: CONGRESO SUDAMERICANO DE LA YERBA MATE, 5., 2011, Posadas. Actas. Posadas: Instituto Nacional de la Yerba Mate, 2011. p. 297-302. 1 CD-ROM. Biblioteca(s): Embrapa Florestas. |
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10. | | GODOY, R. C. B. de; FRIZON, C. N. T.; RIBANI, R. H.; GARRUTI, D. dos S.; CHAMBERS IV, E. Duração do sabor em amostras de goma de mascar elaboradas com erva-mate. In: EVENTOS ARAUCÁRIA: PESQUISA, INOVAÇÃO E TECNOLOGIAS PARA SISTEMAS DE PRODUÇÃO, ERVA-MATE XXI: INOVAÇÃO E TECNOLOGIAS PARA O SETOR ERVATEIRO, 2020, Colombo. Anais. Colombo: Embrapa Florestas, 2021. p. 68. Resumo. Biblioteca(s): Embrapa Agroindústria Tropical. |
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11. | | GODOY, R. C. B. de; FRIZON, C. N. T.; RIBANI, R. H.; GARRUTI, D. dos S.; CHAMBERS IV, E. Duração do sabor em amostras de goma de mascar elaboradas com erva-mate. In: EVENTOS ARAUCÁRIA: PESQUISA, INOVAÇÃO E TECNOLOGIAS PARA SISTEMAS DE PRODUÇÃO, ERVA-MATE XXI: INOVAÇÃO E TECNOLOGIAS PARA O SETOR ERVATEIRO, 2020, Colombo. Anais. Colombo: Embrapa Florestas, 2021. p. 68. (Embrapa Florestas. Documentos, 344). Resumo. Biblioteca(s): Embrapa Florestas. |
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12. | | HORNUNG, P. S.; ÁVILA, S.; MASISI, K.; MALUNGA, L. N.; LAZZAROTTO, M.; SCHNITZLER, E.; RIBANI, R. H.; BETA, T. Green development of biodegradable films based on native yam (Dioscoreaceae) starch mixtures. Starch, v. 70, n. 5/6, 1700234, May 2018. 12 p. Biblioteca(s): Embrapa Florestas. |
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14. | | GODOY, R. C. B. de; GUENO, L. B.; DELIZA, R.; LICODIEDOFF, S.; FRIZZON, C. N. T.; RIBANI, R. H. Consumidor de chá-mate (Ilex paraguariensis St. Hil.): preferência e hábitos de consumo. In: CONGRESO SUDAMERICANO DE LA YERBA MATE, 5., 2011, Posadas. Actas. Posadas: Instituto Nacional de la Yerba Mate, 2011. p. 401-406. 1 CD-ROM. Biblioteca(s): Embrapa Agroindústria de Alimentos. |
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15. | | GODOY, R. C. B. de; GUENO, L. B.; DELIZA, R.; LICODIEDOFF, S.; FRIZZON, C. N. T.; RIBANI, R. H. Consumidor de chá-mate (Ilex paraguariensis St. Hil.): preferência e hábitos de consumo. In: CONGRESO SUDAMERICANO DE LA YERBA MATE, 5., 2011, Posadas. Actas. Posadas: Instituto Nacional de la Yerba Mate, 2011. p. 401-406. 1 CD-ROM. Biblioteca(s): Embrapa Florestas. |
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16. | | HORNUNG, P. S.; LAZZAROTTO, S. R. da S.; BELLETTINI, M. B.; LAZZAROTTO, M.; BETA, T.; RIBANI, R. H.; SCHNITZLER, E. Novel oxidized and UV-irradiated Araucaria angustifolia pine seed starch for enhanced functional properties. Starch, v. 71, n. 3/4, 1800140, March 2019. 10 p. Biblioteca(s): Embrapa Florestas. |
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19. | | HORNUNG, P. S.; GRANZA, A. G.; LAZZAROTTO, S. R. da R.; RIBANI, R. H.; LAZZAROTTO, M.; SCHNITZLER, E. Thermal and rheological behavior of native and modified starch Araucaria angustifolia (pinhão). In: CONGRESSO BRASILEIRO DE ANÁLISE TÉRMICA E CALORIMETRIA, 9., 2014, Serra Negra. Trabalhos. [S.l.]: ABRATEC, 2014. 6 p. Disponibilizado online. CBRATEC. Biblioteca(s): Embrapa Florestas. |
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20. | | IKEDA, M.; CARVALHO, C. W. P. de; HELM, C. V.; AZEREDO, H. M. C. de; GODOY, R. C. B. de; RIBANI, R. H. Influence of Brazilian pine seed flour addition on rheological, chemical and sensory properties of gluten-free rice flour cakes. Ciência Rural [online]. 2018, vol.48, n.6, e20170732. Epub June 28, 2018. Biblioteca(s): Embrapa Agroindústria de Alimentos; Embrapa Agroindústria Tropical; Embrapa Florestas. |
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Registros recuperados : 28 | |
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Registro Completo
Biblioteca(s): |
Embrapa Agricultura Digital. |
Data corrente: |
14/06/2021 |
Data da última atualização: |
16/08/2021 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
B - 1 |
Autoria: |
SILVA, L. A. P. da; BOLFE, E. L.; SOUZA, C. M. P. de; FILGUEIRAS, R. |
Afiliação: |
LUCAS AUGUSTO PEREIRA DA SILVA, UFU; EDSON LUIS BOLFE, CNPTIA; CRISTIANO MARCELO PEREIRA DE SOUZA, UNIMONTES; ROBERTO FILGUEIRAS, UFV. |
Título: |
The sensitivity of evapotranspiration for land uses and topography in area of Cerrado Biome - Brazil. |
Ano de publicação: |
2021 |
Fonte/Imprenta: |
Espaço & Geografia, v. 24, n. 1, p. 132-148, 2021. |
Idioma: |
Inglês |
Conteúdo: |
Abstract: Evapotranspiration (ET) is a crucial element in the spatiotemporal dynamics of moisture, energy, and heat, and is related to climatic, pedogeomorphological, and phytophysiognomic aspects of the landscape. Therefore, estimating ET requires dynamic and integrated temporal analysis with biophysical landscape factors. The study aimed to analyze the behavior of ET through the analysis of land use and land cover and topographic in time series. The Simple Algorithm for Evapotranspiration Recovery (SAFER) model was used to obtain the variable ET in the periods of 01/21, 02/22, 05/13 and 06/30/2019 (variables). A database of explanatory covariates was constructed, including land use and land cover, satellite image data (Landsat-8) and digital elevation model (SRTM). The values of variables and covariates were extracted into a grid of points and separated for three altimetric conditions, and the linear Gaussian Models (GLM) were applied to the point data. The most explanatory spectral covariates for the ET variation were Albedo and Surface Temperature. And the covariates related to topography were Digital Elevation Model and Topographic Moisture Index. In general, the wet period presents a higher ET rate (2.06 mm d-¹). Forests generated the highest ET regardless of period (1.62 mm d-¹ to 4.03 mm d-¹). Elevated topography also influences the increase in ET in relation to the same lower altimetry classes (A2 and A3). This influence is associated with the altitude dynamics and intrinsic elements of the region, such as the marshy environment in the A3 region, where the highest ET values occurred. This work stands out from its peers for addressing the influence of landscape aspects on the knowledge of evapotranspiration variation, a vanguard theme in the scope of spatial analysis. MenosAbstract: Evapotranspiration (ET) is a crucial element in the spatiotemporal dynamics of moisture, energy, and heat, and is related to climatic, pedogeomorphological, and phytophysiognomic aspects of the landscape. Therefore, estimating ET requires dynamic and integrated temporal analysis with biophysical landscape factors. The study aimed to analyze the behavior of ET through the analysis of land use and land cover and topographic in time series. The Simple Algorithm for Evapotranspiration Recovery (SAFER) model was used to obtain the variable ET in the periods of 01/21, 02/22, 05/13 and 06/30/2019 (variables). A database of explanatory covariates was constructed, including land use and land cover, satellite image data (Landsat-8) and digital elevation model (SRTM). The values of variables and covariates were extracted into a grid of points and separated for three altimetric conditions, and the linear Gaussian Models (GLM) were applied to the point data. The most explanatory spectral covariates for the ET variation were Albedo and Surface Temperature. And the covariates related to topography were Digital Elevation Model and Topographic Moisture Index. In general, the wet period presents a higher ET rate (2.06 mm d-¹). Forests generated the highest ET regardless of period (1.62 mm d-¹ to 4.03 mm d-¹). Elevated topography also influences the increase in ET in relation to the same lower altimetry classes (A2 and A3). This influence is associated with the altitude dynamics and ... Mostrar Tudo |
Palavras-Chave: |
GLM; Hypsometric regions; Modelo Algoritmo Simples para Recuperação da Evapotranspiração; Modelo SAFER; Modelos Lineares Gaussianos; Regiões Altimétricas; Série temporal; Uso do solo. |
Thesagro: |
Cerrado; Cobertura do Solo; Evapotranspiração; Sensoriamento Remoto. |
Thesaurus NAL: |
Evapotranspiration; Land cover; Land use; Remote sensing. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/223736/1/AP-Sensitivity-evapotranspiration-2021.pdf
|
Marc: |
LEADER 02868naa a2200349 a 4500 001 2132273 005 2021-08-16 008 2021 bl uuuu u00u1 u #d 100 1 $aSILVA, L. A. P. da 245 $aThe sensitivity of evapotranspiration for land uses and topography in area of Cerrado Biome - Brazil.$h[electronic resource] 260 $c2021 520 $aAbstract: Evapotranspiration (ET) is a crucial element in the spatiotemporal dynamics of moisture, energy, and heat, and is related to climatic, pedogeomorphological, and phytophysiognomic aspects of the landscape. Therefore, estimating ET requires dynamic and integrated temporal analysis with biophysical landscape factors. The study aimed to analyze the behavior of ET through the analysis of land use and land cover and topographic in time series. The Simple Algorithm for Evapotranspiration Recovery (SAFER) model was used to obtain the variable ET in the periods of 01/21, 02/22, 05/13 and 06/30/2019 (variables). A database of explanatory covariates was constructed, including land use and land cover, satellite image data (Landsat-8) and digital elevation model (SRTM). The values of variables and covariates were extracted into a grid of points and separated for three altimetric conditions, and the linear Gaussian Models (GLM) were applied to the point data. The most explanatory spectral covariates for the ET variation were Albedo and Surface Temperature. And the covariates related to topography were Digital Elevation Model and Topographic Moisture Index. In general, the wet period presents a higher ET rate (2.06 mm d-¹). Forests generated the highest ET regardless of period (1.62 mm d-¹ to 4.03 mm d-¹). Elevated topography also influences the increase in ET in relation to the same lower altimetry classes (A2 and A3). This influence is associated with the altitude dynamics and intrinsic elements of the region, such as the marshy environment in the A3 region, where the highest ET values occurred. This work stands out from its peers for addressing the influence of landscape aspects on the knowledge of evapotranspiration variation, a vanguard theme in the scope of spatial analysis. 650 $aEvapotranspiration 650 $aLand cover 650 $aLand use 650 $aRemote sensing 650 $aCerrado 650 $aCobertura do Solo 650 $aEvapotranspiração 650 $aSensoriamento Remoto 653 $aGLM 653 $aHypsometric regions 653 $aModelo Algoritmo Simples para Recuperação da Evapotranspiração 653 $aModelo SAFER 653 $aModelos Lineares Gaussianos 653 $aRegiões Altimétricas 653 $aSérie temporal 653 $aUso do solo 700 1 $aBOLFE, E. L. 700 1 $aSOUZA, C. M. P. de 700 1 $aFILGUEIRAS, R. 773 $tEspaço & Geografia$gv. 24, n. 1, p. 132-148, 2021.
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