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Registro Completo |
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Biblioteca(s): |
Embrapa Meio Ambiente. |
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Data corrente: |
11/11/2021 |
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Data da última atualização: |
11/11/2021 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
NOGUEIRA, S. F.; SILVA, G. B. S. da; ADAMI, M.; SANTOS, P. M.; PEZZOPANE, J. R. M.; NUÑEZ, D.; GREGO, C. R.; TEIXEIRA, A. H.; SKAKUN, S.; ROLISOLA, I. |
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Afiliação: |
SANDRA FURLAN NOGUEIRA, CNPMA; GUSTAVO BAYMA SIQUEIRA DA SILVA, CNPMA; MARCOS ADAMI, National Institute for Space Research (INPE); PATRICIA MENEZES SANTOS, CPPSE; JOSE RICARDO MACEDO PEZZOPANE, CPPSE; DANIEL NUÑEZ, Unibras; CELIA REGINA GREGO, CNPTIA; ANTÔNIO HERIBERTO TEIXEIRA, UNIVERSIDADE FEDERAL DE SERGIPE; SERGII SKAKUN, University of Maryland; ISA ROLISOLA, CNPQ. |
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Título: |
Estimating forage mass of a crop-livestock system (icl) using satellite images and climate data. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
In: WORLD CONGRESS ON INTEGRATED CROP-LIVESTOCK-FORESTRY SYSTEMS: 100% DIGITAL, 2., 2021. WCCLF 2021 proceedings. Campo Grande, MS: Embrapa Gado de Corte, 2021. |
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Páginas: |
p.804-809. |
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Idioma: |
Inglês |
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Conteúdo: |
The Simple Algorithm for Evapotranspiration Retrieving (SAFER) was used to estimate forage mass in a beef cattle production system, in São Carlos (SP), Brazil. Harmonized Landsat-8 and Sentinel-2 (HLS) surface reflectance bands were used with daily weather data from a station adjacent to the experimental area and from a INMET station (OMM: #86845). The experimental area is a crop-livestock system (iCL) with pasture managed under rotational stocking in rotation with corn for silage during pasture renewal. Monthly field campaigns in 2018 and 2019 were conducted and aimed to estimate ground-measured forage mass. A bootstrapped linear least-squares regression was employed for evaluating the results for model validation. SAFER is a feasible tool to estimate forage mass in a crop-livestock system (iCL), as around 73% of the variability in forage mass was explained through the integration of HLS surface reflectance images, groundmeasured data, and cattle management, in an agrometeorological modeling approach. The methodology will assist farmers and policymakers to estimate forage availability to improve decision-making on pasture management. Future works will discriminate estimated forage mass in intensive and extensive pasture systems |
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Palavras-Chave: |
Digital agriculture. |
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Thesaurus Nal: |
Agrometeorology; Remote sensing. |
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Categoria do assunto: |
A Sistemas de Cultivo |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/227707/1/Nogueira-Estimating-forage-2021.pdf
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Marc: |
LEADER 02129nam a2200265 a 4500
001 2136086
005 2021-11-11
008 2021 bl uuuu u00u1 u #d
100 1 $aNOGUEIRA, S. F.
245 $aEstimating forage mass of a crop-livestock system (icl) using satellite images and climate data.$h[electronic resource]
260 $aIn: WORLD CONGRESS ON INTEGRATED CROP-LIVESTOCK-FORESTRY SYSTEMS: 100% DIGITAL, 2., 2021. WCCLF 2021 proceedings. Campo Grande, MS: Embrapa Gado de Corte$c2021
300 $ap.804-809.
520 $aThe Simple Algorithm for Evapotranspiration Retrieving (SAFER) was used to estimate forage mass in a beef cattle production system, in São Carlos (SP), Brazil. Harmonized Landsat-8 and Sentinel-2 (HLS) surface reflectance bands were used with daily weather data from a station adjacent to the experimental area and from a INMET station (OMM: #86845). The experimental area is a crop-livestock system (iCL) with pasture managed under rotational stocking in rotation with corn for silage during pasture renewal. Monthly field campaigns in 2018 and 2019 were conducted and aimed to estimate ground-measured forage mass. A bootstrapped linear least-squares regression was employed for evaluating the results for model validation. SAFER is a feasible tool to estimate forage mass in a crop-livestock system (iCL), as around 73% of the variability in forage mass was explained through the integration of HLS surface reflectance images, groundmeasured data, and cattle management, in an agrometeorological modeling approach. The methodology will assist farmers and policymakers to estimate forage availability to improve decision-making on pasture management. Future works will discriminate estimated forage mass in intensive and extensive pasture systems
650 $aAgrometeorology
650 $aRemote sensing
653 $aDigital agriculture
700 1 $aSILVA, G. B. S. da
700 1 $aADAMI, M.
700 1 $aSANTOS, P. M.
700 1 $aPEZZOPANE, J. R. M.
700 1 $aNUÑEZ, D.
700 1 $aGREGO, C. R.
700 1 $aTEIXEIRA, A. H.
700 1 $aSKAKUN, S.
700 1 $aROLISOLA, I.
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Registro original: |
Embrapa Meio Ambiente (CNPMA) |
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| Registros recuperados : 5 | |
| 2. |  | PRUDENTE, V. H. R.; SKAKUN, S.; OLDONI, L. V.; XAUD, H. A. M.; XAUD, M. R.; ADAMI, M.; SANCHES, I. D. A. Multisensor approach to land use and land cover mapping in Brazilian Amazon. ISPRS Journal of Photogrammetry and Remote Sensing, v. 189, p. 95-109, 2022.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Roraima. |
|    |
| 3. | | WALDNER, F.; BELLEMANS, N.; HOCHMAN, Z.; NEWBY, T.; ABELLEYRA, D. de; VERÓN, S. R.; BARTALEV, S.; LAVRENIUK, M.; KUSSUL, N.; LE MAIRE, G.; SIMÕES, M.; SKAKUN, S.; DEFOURNY, P. Roadside collection of training data for cropland mapping is viable when environmental and management gradients are surveyed. International Journal of Applied Earth Observation and Geoinformation, v. 80, p. 82-93, Aug. 2019.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Solos. |
|  |
| 4. | | NOGUEIRA, S. F.; SILVA, G. B. S. da; ADAMI, M.; SANTOS, P. M.; PEZZOPANE, J. R. M.; NUÑEZ, D.; GREGO, C. R.; TEIXEIRA, A. H.; SKAKUN, S.; ROLISOLA, I. Estimating forage mass of a crop-livestock system (icl) using satellite images and climate data. In: WORLD CONGRESS ON INTEGRATED CROP-LIVESTOCK-FORESTRY SYSTEMS, 2., 2021. Proceedings reference... Brasília, DF: Embrapa, 2021. p. 804-809.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Agricultura Digital; Embrapa Pecuária Sudeste. |
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| 5. | | NOGUEIRA, S. F.; SILVA, G. B. S. da; ADAMI, M.; SANTOS, P. M.; PEZZOPANE, J. R. M.; NUÑEZ, D.; GREGO, C. R.; TEIXEIRA, A. H.; SKAKUN, S.; ROLISOLA, I. Estimating forage mass of a crop-livestock system (icl) using satellite images and climate data. In: WORLD CONGRESS ON INTEGRATED CROP-LIVESTOCK-FORESTRY SYSTEMS: 100% DIGITAL, 2., 2021. WCCLF 2021 proceedings. Campo Grande, MS: Embrapa Gado de Corte, 2021. p.804-809.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Meio Ambiente. |
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| Registros recuperados : 5 | |
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| Nenhum registro encontrado para a expressão de busca informada. |
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