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| 6. |  | WENDLING, I.; ROSA, L. S.; DUTRA, L. F. Estaquia da erva-mate (Ilex paraguariensis St. Hil.): Efeito da planta matriz e da dioicia. In: CONGRESO SUDAMERICANO DE LA YERBA MATE, 4.; REUNIÓN TÉCNICA DE LA YERBA MATE, 4., EXPOSICIÓN DE AGRONEGOCIOS DE LA YERBA MATE, 2., 2006, Posadas. Actas. Posadas: INTA, 2006. p. 156-160.| Biblioteca(s): Embrapa Florestas. |
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| 8. | | ROSA, L. S.; WENDLING, I.; SOUZA JUNIOR, L. Brotações epicórmicas no resgate vegetativo de árvores selecionadas de Ilex paraguariensis St. Hil. In: CONGRESSO SUL-AMERICANO DA ERVA-MATE, 3., 2003, Chapecó. Anais. [Chapecó]: EPAGRI, 2003. s.3-2. 1 CD-ROM. Secão: Conservação, Melhoramento e Multiplicação. Feira do Agronegócio da Erva-mate, 1., 2003, Chapecó. Integrar para promover o agronegócio da erva-mate.| Biblioteca(s): Embrapa Florestas. |
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| 13. | | ROSA, L. S.; OHASHI, S. T.; SANTANA, J. A. S.; OLIVEIRA, F. A. Estagio atual de conhecimento sobre a formacao de mudas de pau-rosa (Aniba rosaeodora ducke). In: CONGRESSO FLORESTAL PANAMERICANO, 1.; CONGRESSO FLORESTAL BRASILEIRO, 7., 1993, Curitiba. Floresta para o Desenvolvimento: Política, Ambiente, Tecnologia e Mercado: anais. São Paulo: SBS; [S.l.]: SBEF, 1993. v. 2, p. 761.| Biblioteca(s): Embrapa Florestas. |
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| 15. | | ROSA, L. S. da; WENDLING, I.; GROSSI, F.; REISSMANN, C. B.; PARRODE de GODOY, C. M. Efeito da fertirrigação nitrogenada na produtividade de biomassa e estado nutricional em minijardim clonal de Ilex paraguariensis St. Hil. In: CONGRESO SUDAMERICANO DE LA YERBA MATE, 4.; REUNIÓN TÉCNICA DE LA YERBA MATE, 4., EXPOSICIÓN DE AGRONEGOCIOS DE LA YERBA MATE, 2., 2006, Posadas. Actas. Posadas: INTA, 2006. p. 161-166.| Biblioteca(s): Embrapa Florestas. |
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| 17. | | CUNHA, A. C. M. C. M. da; WENDLING, I.; SOUZA JÚNIOR, L.; ROSA, L. S. da. Efeito de diferentes substratos na produção de mudas Myrsine ferruginea Sprenge. In: EVENTO DE INICIAÇÃO CIENTÍFICA DA EMBRAPA FLORESTAS, 2., 2003, Colombo. Anais. Colombo: Embrapa Florestas, 2003. 026A. 1 Cd-Rom. (Embrapa Florestas. Documentos, 86). Organizado por Patricia Póvoa de Mattos, Celso Garcia Auer, Rejane Stumpf Sberze, Katia Regina Pichelli e Paulo César Botosso.| Biblioteca(s): Embrapa Florestas. |
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| 19. | | ROSA, L. S.; OLIVEIRA, F. A.; VELASCO, V.; ALBERIO, V. E. V. Potencialidade do sistema Alley Cropping para recuperacao de solos alterados por atividades agricolas no municipio de Igarape-acu, Para. In: SIMPÓSIO NACIONAL RECUPERAÇÃO DE ÁREAS DEGRADADAS, 4., 2000, Blumenau. Silvicultura Ambiental: trabalhos voluntários, anais. Blumenau: Fundação Universidade Regional de Blumenau, 2000. p.137-138. Resumo.| Biblioteca(s): Embrapa Florestas. |
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| 20. | | ARRUDA, P. M.; SOUSA, L. P. de; WENDLING, I.; ROSA, L. S. da; SOUZA JUNIOR, L. Avaliação do grau de germinação de sementes e do crescimento de mudas de Mimosa scabrella Benthan em tubetes sob diferentes substratos. In: CONGRESSO FLORESTAL BRASILEIRO, 8., 2003, São Paulo. Benefícios, Produtos e Serviços da Floresta: Oportunidades e Desafios do Século XXI. São Paulo: Sociedade Brasileira de Silvicultura: Sociedade Brasileira de Engenheiros Florestais, 2003. CD-ROM. Resumo.| Biblioteca(s): Embrapa Florestas. |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Arroz e Feijão. Para informações adicionais entre em contato com cnpaf.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Arroz e Feijão. |
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Data corrente: |
15/12/2022 |
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Data da última atualização: |
14/02/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 5 |
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Autoria: |
LIMA, G. S. A. de; FERREIRA, M. E.; MADARI, B. E.; CARVALHO, M. T. de M. |
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Afiliação: |
GABRIELLA SANTOS ARRUDA DE LIMA, UNIVERSIDADE FEDERAL DE GOIÁS; MANUEL EDUARDO FERREIRA, UNIVERSIDADE FEDERAL DE GOIÁS; BEATA EMOKE MADARI, CNPAF; MARCIA THAIS DE MELO CARVALHO, CNPAF. |
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Título: |
Carbon estimation in an integrated crop-livestock system with imaging sensors aboard unmanned aerial platforms. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Remote Sensing Applications: Society and Environment, v. 28, 100867, Nov. 2022. |
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ISSN: |
2352-9385 |
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DOI: |
https://doi.org/10.1016/j.rsase.2022.100867 |
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Idioma: |
Inglês |
|
Conteúdo: |
Biomass and carbon estimates in integrated crop-livestock (iLP) systems remain scarce. Recently, sensors aboard an unmanned aerial vehicle (UAV) have been used for such estimation and can represent an efficient and low-cost method for acquiring accurate remote-sensing data. This study aimed to estimate the relationship between vegetation indices (VIs) and carbon stock in an upland rice field intercropped with Brachiaria, an exotic grass species in the savanna ecosystem of Brazil (Cerrado biome), using multispectral aerial imaging with a high cartographic scale. The research was conducted in an experimental iLP system located at the Brazilian Agricultural Research Corporation (Embrapa Arroz e Feijão), Goiás State. During the data collection stage, flights were conducted with a fixed-wing UAV (eBee Plus RTK) on the same day or close to collecting biomass samples in the field. In the processing step, a correlation was performed between the normalized difference vegetation index (NDVI), simple ratio (SR), soil-adjusted vegetation index (SAVI), and modified photochemical reflectance index (MPRI) VIs and the biomass measured in the field. The results indicated that the vegetation index (VI) that used the near-infrared (NIR) band showed a stronger correlation with biomass than the VI that used only the visible band information. All VIs were significantly correlated with the estimated field biomass (P < 0.05) using Pearson's correlation. The regression models were able to predict the biomass and carbon stock in Phase 1 (3.93 Mg ha-1, 1.66 Mg ha-1, R2 = 0.748) and Phase 2 (7.53 Mg ha-1, 3.19 Mg ha-1, R2 = 0.816). From the best model selected for each phase, maps with the spatial and temporal distribution of the biomass of the iLP system were plotted, demonstrating one of the advantages of employing remote sensing techniques based on drones and multispectral imaging sensors. MenosBiomass and carbon estimates in integrated crop-livestock (iLP) systems remain scarce. Recently, sensors aboard an unmanned aerial vehicle (UAV) have been used for such estimation and can represent an efficient and low-cost method for acquiring accurate remote-sensing data. This study aimed to estimate the relationship between vegetation indices (VIs) and carbon stock in an upland rice field intercropped with Brachiaria, an exotic grass species in the savanna ecosystem of Brazil (Cerrado biome), using multispectral aerial imaging with a high cartographic scale. The research was conducted in an experimental iLP system located at the Brazilian Agricultural Research Corporation (Embrapa Arroz e Feijão), Goiás State. During the data collection stage, flights were conducted with a fixed-wing UAV (eBee Plus RTK) on the same day or close to collecting biomass samples in the field. In the processing step, a correlation was performed between the normalized difference vegetation index (NDVI), simple ratio (SR), soil-adjusted vegetation index (SAVI), and modified photochemical reflectance index (MPRI) VIs and the biomass measured in the field. The results indicated that the vegetation index (VI) that used the near-infrared (NIR) band showed a stronger correlation with biomass than the VI that used only the visible band information. All VIs were significantly correlated with the estimated field biomass (P < 0.05) using Pearson's correlation. The regression models were able to predict th... Mostrar Tudo |
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Palavras-Chave: |
Drones. |
|
Thesagro: |
Biomassa; Carbono. |
|
Thesaurus NAL: |
Biomass; Unmanned aerial vehicles; Vegetation index. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
|
Marc: |
LEADER 02703naa a2200253 a 4500
001 2149727
005 2023-02-14
008 2022 bl uuuu u00u1 u #d
022 $a2352-9385
024 7 $ahttps://doi.org/10.1016/j.rsase.2022.100867$2DOI
100 1 $aLIMA, G. S. A. de
245 $aCarbon estimation in an integrated crop-livestock system with imaging sensors aboard unmanned aerial platforms.$h[electronic resource]
260 $c2022
520 $aBiomass and carbon estimates in integrated crop-livestock (iLP) systems remain scarce. Recently, sensors aboard an unmanned aerial vehicle (UAV) have been used for such estimation and can represent an efficient and low-cost method for acquiring accurate remote-sensing data. This study aimed to estimate the relationship between vegetation indices (VIs) and carbon stock in an upland rice field intercropped with Brachiaria, an exotic grass species in the savanna ecosystem of Brazil (Cerrado biome), using multispectral aerial imaging with a high cartographic scale. The research was conducted in an experimental iLP system located at the Brazilian Agricultural Research Corporation (Embrapa Arroz e Feijão), Goiás State. During the data collection stage, flights were conducted with a fixed-wing UAV (eBee Plus RTK) on the same day or close to collecting biomass samples in the field. In the processing step, a correlation was performed between the normalized difference vegetation index (NDVI), simple ratio (SR), soil-adjusted vegetation index (SAVI), and modified photochemical reflectance index (MPRI) VIs and the biomass measured in the field. The results indicated that the vegetation index (VI) that used the near-infrared (NIR) band showed a stronger correlation with biomass than the VI that used only the visible band information. All VIs were significantly correlated with the estimated field biomass (P < 0.05) using Pearson's correlation. The regression models were able to predict the biomass and carbon stock in Phase 1 (3.93 Mg ha-1, 1.66 Mg ha-1, R2 = 0.748) and Phase 2 (7.53 Mg ha-1, 3.19 Mg ha-1, R2 = 0.816). From the best model selected for each phase, maps with the spatial and temporal distribution of the biomass of the iLP system were plotted, demonstrating one of the advantages of employing remote sensing techniques based on drones and multispectral imaging sensors.
650 $aBiomass
650 $aUnmanned aerial vehicles
650 $aVegetation index
650 $aBiomassa
650 $aCarbono
653 $aDrones
700 1 $aFERREIRA, M. E.
700 1 $aMADARI, B. E.
700 1 $aCARVALHO, M. T. de M.
773 $tRemote Sensing Applications: Society and Environment$gv. 28, 100867, Nov. 2022.
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