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Registro Completo |
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Biblioteca(s): |
Embrapa Café. |
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Data corrente: |
13/12/2019 |
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Data da última atualização: |
13/12/2019 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
JARAMILLO-GIRALDO, C.; FERREIRA, W. P. M.; FONSECA, H. P.; RIBEIRO, M. de F.; SILVA, L. M. R.; FERNANDES, R. B. A. |
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Afiliação: |
Carolina Jaramillo-Giraldo, Empresa de Pesquisa Agropecuária de Minas Gerais - EPAMIG; WILLIAMS PINTO MARQUES FERREIRA, CNPCa; Humberto Paiva Fonseca; Marcelo de Freitas Ribeiro, Empresa de Pesquisa Agropecuária de Minas Gerais - EPAMIG; Laís Maria Rodrigues Silva, Universidade Federal de Viçosa - UFV/Departamento de Ciência do Solo; Raphael Bragança Alves Fernandes, Universidade Federal de Viçosa - UFV/Departamento de Ciência do Solo. |
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Título: |
Relationship Between Spatio-Temporal Leaf Area Index and Crop Coefficient When Monitoring Coffee Plots in Brazil. |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
Journal of Agricultural Science, v. 11, n. 15, p, 187-199, 2019. |
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Idioma: |
Inglês |
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Conteúdo: |
Robust monitoring techniques for perennial crops have become increasingly possible due to technological advances in the area of Remote Sensing (RS), and the products are available through the European Space Agency (ESA) initiative. RS data provides valuable opportunities for detailed assessments of crop conditions at plot level using high spatial, spectral, and temporal resolution. This study addresses the monitoring of coffee at the plot level using RS, analyzing the relationship between the spatio-temporal variability of the Leaf Area Index (LAI) and the crop coefficient (Kc); the Kc being a biophysical variable that integrates the potential hydrological characteristics of an agroecosystem compared to the reference crop. Daily and one-year Kc were estimated using the relation of crop evapotranspiration and reference. ESA Sentinel-2 images were pre-analyzed and atmospherically corrected, and Top-of-the-Atmosphere (TOA) reflections converted to Top-of-the-Canopy (TOC) reflectance. The TOCs resampled at the 10m resolution, and with the angles corresponding to the directional information at the time of the acquisition, the LAI was estimated using the trained neural network available in the Sentinel Application Platform (SNAP). During 75% of the monitored days, Kc ranged between 1.2 and 1.3 and, the LAI analyzed showed high spatial and temporal variability at the plot level. Based on the relationship between the biophysical variables, the LAI variable can substitute the Kc and be used to monitor the water conditions at the production area as well as analyze spatial variability inside that area. Sentinel-2 products could be more useful in monitoring coffee in the farm production area. MenosRobust monitoring techniques for perennial crops have become increasingly possible due to technological advances in the area of Remote Sensing (RS), and the products are available through the European Space Agency (ESA) initiative. RS data provides valuable opportunities for detailed assessments of crop conditions at plot level using high spatial, spectral, and temporal resolution. This study addresses the monitoring of coffee at the plot level using RS, analyzing the relationship between the spatio-temporal variability of the Leaf Area Index (LAI) and the crop coefficient (Kc); the Kc being a biophysical variable that integrates the potential hydrological characteristics of an agroecosystem compared to the reference crop. Daily and one-year Kc were estimated using the relation of crop evapotranspiration and reference. ESA Sentinel-2 images were pre-analyzed and atmospherically corrected, and Top-of-the-Atmosphere (TOA) reflections converted to Top-of-the-Canopy (TOC) reflectance. The TOCs resampled at the 10m resolution, and with the angles corresponding to the directional information at the time of the acquisition, the LAI was estimated using the trained neural network available in the Sentinel Application Platform (SNAP). During 75% of the monitored days, Kc ranged between 1.2 and 1.3 and, the LAI analyzed showed high spatial and temporal variability at the plot level. Based on the relationship between the biophysical variables, the LAI variable can substitute the Kc and ... Mostrar Tudo |
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Palavras-Chave: |
Satellite crop monitoring sentinel-2. |
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Thesaurus Nal: |
Crop coefficient; Leaf area index. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/206996/1/Relationship-between-Spatio-Temporal.pdf
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Marc: |
LEADER 02427naa a2200217 a 4500
001 2116841
005 2019-12-13
008 2019 bl uuuu u00u1 u #d
100 1 $aJARAMILLO-GIRALDO, C.
245 $aRelationship Between Spatio-Temporal Leaf Area Index and Crop Coefficient When Monitoring Coffee Plots in Brazil.$h[electronic resource]
260 $c2019
520 $aRobust monitoring techniques for perennial crops have become increasingly possible due to technological advances in the area of Remote Sensing (RS), and the products are available through the European Space Agency (ESA) initiative. RS data provides valuable opportunities for detailed assessments of crop conditions at plot level using high spatial, spectral, and temporal resolution. This study addresses the monitoring of coffee at the plot level using RS, analyzing the relationship between the spatio-temporal variability of the Leaf Area Index (LAI) and the crop coefficient (Kc); the Kc being a biophysical variable that integrates the potential hydrological characteristics of an agroecosystem compared to the reference crop. Daily and one-year Kc were estimated using the relation of crop evapotranspiration and reference. ESA Sentinel-2 images were pre-analyzed and atmospherically corrected, and Top-of-the-Atmosphere (TOA) reflections converted to Top-of-the-Canopy (TOC) reflectance. The TOCs resampled at the 10m resolution, and with the angles corresponding to the directional information at the time of the acquisition, the LAI was estimated using the trained neural network available in the Sentinel Application Platform (SNAP). During 75% of the monitored days, Kc ranged between 1.2 and 1.3 and, the LAI analyzed showed high spatial and temporal variability at the plot level. Based on the relationship between the biophysical variables, the LAI variable can substitute the Kc and be used to monitor the water conditions at the production area as well as analyze spatial variability inside that area. Sentinel-2 products could be more useful in monitoring coffee in the farm production area.
650 $aCrop coefficient
650 $aLeaf area index
653 $aSatellite crop monitoring sentinel-2
700 1 $aFERREIRA, W. P. M.
700 1 $aFONSECA, H. P.
700 1 $aRIBEIRO, M. de F.
700 1 $aSILVA, L. M. R.
700 1 $aFERNANDES, R. B. A.
773 $tJournal of Agricultural Science$gv. 11, n. 15, p, 187-199, 2019.
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Registro original: |
Embrapa Café (CNPCa) |
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Biblioteca |
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| Registros recuperados : 15 | |
| 1. |  | PRADO, G. M.; SILVA, L. M. R.; GONZAGA, M. L. C.; FIGUEIREDO, R. W.; WURLITZER, N. J. Comportamento reológico de bebidas mistas de caju e araçá-boi adicionadas de ômega-3. Magistra, Cruz das Almas, v. 26, n. especial, p. 994-999, 2014.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 3 |
| Biblioteca(s): Embrapa Agroindústria Tropical. |
|    |
| 4. | | JARAMILLO-GIRALDO, C.; FERREIRA, W. P. M.; FONSECA, H. P.; RIBEIRO, M. de F.; SILVA, L. M. R.; FERNANDES, R. B. A. Relationship Between Spatio-Temporal Leaf Area Index and Crop Coefficient When Monitoring Coffee Plots in Brazil. Journal of Agricultural Science, v. 11, n. 15, p, 187-199, 2019.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 1 |
| Biblioteca(s): Embrapa Café. |
|  |
| 7. | | SILVA, L. M. R.; RIBEIRO, M. de F.; FERREIRA, W. P. M.; ROCHA JUNIOR, P. R. da; FERNANDES, R. B. A. Water footprint of Arabica coffee from "Matas de Minas" under shade management. Revista Ceres, Viçosa, v. 69, n.4, p. 488-494, jul/ago, 2022.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 1 |
| Biblioteca(s): Embrapa Café. |
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| 8. | | PINHEIRO, A. M.; MAIA, G. A.; FIGUEIREDO, R. W.; AZEREDO, H. M. C. de; OLIVEIRA, L. DE S.; SILVA, M. DE F. G.; SILVA, L. M. R. DA; SOUSA, P. H. M. Response surface methodology optimization of blended fruit nectar: cashew apple and açai. International Journal of Fruit Science, v. 22, n. 1, p. 275-286, 2022.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 5 |
| Biblioteca(s): Embrapa Agroindústria Tropical. |
| |
| 9. | | DIAS, R. de C. S.; SANTOS, J. S. dos; REIS, F. S. dos; SOUZA, F. de F.; CASTRO, J. M. da C. e; RIBEIRO JUNIOR, P. M.; SILVA, L. M. R. de C.; LIMA, R. da S. Reação a Meloidogyne enterolobii, características da parte aérea e do sistema radicular em genótipos de melancia. In: CONGRESSO BRASILEIRO DE OLERICULTURA, 54. 2016, Recife. Hortaliças: inovação tecnológica e automação: anais. Vitória da Conquista: ABH, 2016. p. 364. 1 CD-ROM.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Semiárido. |
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| 10. | | RIBEIRO, A. C. B.; CUNHA, A. P.; SILVA, L. M. R. DA; MATTOS, A. L. A.; BRITO, E. S. de; SOUZA FILHO, M. de S. M. de; AZEREDO, H. M. C. de; RICARDO, N. M. P. S. From mango by-product to food packaging: Pectin-phenolic antioxidant films from mango peels. International Journal of Biological Macromolecules, v. 193, p. 1138-1150, 2021.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Agroindústria Tropical. |
| |
| 11. | | RODRIGUES, F. A. M.; GIFFONY, P. S.; SANTOS, S. B. F. dos; GUEDES, J. A. C.; RIBEIRO, M. E. N. P.; ARAÚJO, T. G. de; SILVA, L. M. R. da; ZOCOLO, G. J.; RICARDO, N. M. P. S. Spondias purpurea L. Stem Bark Extract: Antioxidant and in vitro Photoprotective Activities. Journal of the Brazilian Chemical Society, v. 32, n. 10, p. 1918-1930, 2021.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
| Biblioteca(s): Embrapa Agroindústria Tropical. |
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| 12. | | RODRIGUES, F. A. M.; SANTOS, S. B. F. DOS; LOPES, M. M. D. A.; GUIMARÃES, D. J. S.; SILVA, E. de O.; SOUZA FILHO, M. de S. M. de; MATTOS, A. L. A.; SILVA, L. M. R. DA; AZEREDO, H. M. C. de; RICARDO, N. M. P. S. Antioxidant films and coatings based on starch and phenolics from Spondias purpurea L. International Journal of Biological Macromolecules, v. 182, July, p. 354-365, 2021.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Agroindústria Tropical. |
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| 13. | | OLIVEIRA, L. M. N. de; BASTOS, M. do S. R.; LIMA, A. C. S. de; FIGUEIREDO, E. A. T. de; DIAS, F. G. B.; SILVA, L. M. R. da; BENEVIDES, S. D.; RIBEIRO, P. R. V.; SABINO, L. B. de S.; FIGUEIREDO, R. W. de. Chemical characterization, cytotoxicity, antimicrobial and antioxidant potential of Justicia pectoralis Jacq and Croton jacobinensis Baill extracts. Brazilian Journal of Pharmaceutical Sciences, 59: e21224, 2023.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 1 |
| Biblioteca(s): Embrapa Agroindústria Tropical. |
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| 14. | | SABINO, L. B. DE S.; GONZAGA, M. L. DA C.; OLIVEIRA, L. DE S.; DUARTE, A. S. G.; SILVA, L. M. A. e; BRITO, E. S. de; FIGUEIREDO, R. W. DE; SILVA, L. M. R. DA; SOUSA, P. H. M. DE. Polysaccharides from acerola, cashew apple, pineapple, mango and passion fruit co-products: structure, cytotoxicity and gastroprotective effects. Bioactive Carbohydrates and Dietary Fibre, [Amsterdam], v. 24, artigo 100228, 11 p., Oct. 2020.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 3 |
| Biblioteca(s): Embrapa Agroindústria Tropical. |
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| 15. | | GUIMARAES, T. L. F.; SILVA, L. M. R. da; MUNIZ, C. R.; VIEIRA, I. G. P.; OLIVEIRA, L. S. de; DIAS, F. G. B.; LIMA, C. de B.; GONZAGA, M. L. da C.; LIMA, J. da S. S.; SABINO, L. B. de S.; FIGUEIREDO, E. A. T. de. Potential of chambá (Justicia Pectoralis Jacq.) leaves extracts as a source of bioactive compounds and natural antimicrobial agent. Food Chemistry Advances, 3, 100367 2023.| Tipo: Artigo em Periódico Indexado |
| Biblioteca(s): Embrapa Agroindústria Tropical. |
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| Registros recuperados : 15 | |
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| Nenhum registro encontrado para a expressão de busca informada. |
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