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 | Acesso ao texto completo restrito à biblioteca da Embrapa Pesca e Aquicultura. Para informações adicionais entre em contato com cnpaf.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Pesca e Aquicultura. |
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Data corrente: |
08/11/2024 |
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Data da última atualização: |
08/11/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
SILVA, B. A.; UMMUS, M. E.; HAYAKAWA, E. H.; BENNERT, A.; ADAMI, M.; TROMBINI, C. B.; FEIDEN, A.; VASCO, K. L.; BRITO, A. G. |
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Afiliação: |
BRUNO APARECIDO SILVA, UNIVERSIDADE ESTADUAL DO OESTE DO PARANÁ; MARTA EICHEMBERGER UMMUS, CNPASA; ERICSON HIDEKI HAYAKAWA, UNIVERSIDADE ESTADUAL DO OESTE DO PARANÁ; ALTAIR BENNERT, UNIVERSIDADE ESTADUAL DO OESTE DO PARANÁ; MARCOS ADAMI, INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS; CAROLINA BALERA TROMBINI, BIOPARK EDUCAÇÃO; ALDI FEIDEN, UNIVERSIDADE ESTADUAL DO OESTE DO PARANÁ; KENNEDY LEOCADIO VASCO, BOLSISTA DO PROJETO AMAZONIA +10; ALECSANDER GOMES BRITO, CONSULTOR DO PROJETO AMAZONIA +10. |
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Título: |
Mapping aquaculture in inland continental areas of Brazil using machine learning on the Google Earth Engine. |
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Ano de publicação: |
2024 |
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Fonte/Imprenta: |
Remote Sensing Applications: Society and Environment, v. 36, 101391, 2024. |
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ISSN: |
2352-9385 |
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DOI: |
https://doi.org/10.1016/j.rsase.2024.101391 |
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Idioma: |
Inglês |
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Conteúdo: |
Aquaculture has played a significant and growing role in the provision of food, food security, and job creation, while simultaneously establishing itself as an important agricultural activity subject to increasingly stringent market practices. The generation of spatial information on aquaculture activity in Brazil can support more assertive planning of new enterprises as well as enable the monitoring of this activity over time, fulfilling an agenda of sustainable aquaculture growth in the country. The aim of this article was to map aquaculture areas in the state of Paraná (Brazil) by developing an automated methodology for the extraction of aquaculture ponds. The methodology was implemented on the Google Earth Engine (GEE) platform and utilized satellite images with a spatial resolution of 4.77 m from Norway’s International Climate and Forest Initiative (NICFI) Program – Planet. The process involved pixel-oriented classification of satellite images and the utilization of the Random Forest (RF) algorithm for classification, based on 1200 training samples. The accuracy of the mapping and the algorithm was evaluated using Producer Accuracy (PA), User Accuracy (UA), and Overall Accuracy (OA). The mapping achieved an OA of 0.87, with a PA of 0.89 and a UA of 0.96 for the aquaculture class, and a PA of 0.66 and a UA of 0.41 for the non-aquaculture class. 42,369 aquaculture ponds were identified in the study area, covering a total area of 11,515 ha. The ponds had sizes smaller than 0.7 ha and non-circular shapes (compactness 0.70). Around 40% of the identified aquaculture tanks were concentrated in just two out of the ten analyzed mesoregions, accounting for 40% of the water surface area used for aquaculture in Paraná. Considering that the results obtained show potential to fill the gap in geospatial information about state aquaculture, our methodology would provide a broad understanding of the state’s aquaculture framework, definition of regions with capacity for the expansion of aquaculture ponds, accuracy in estimating the state’s productive space, monitoring the improper expansion of aquaculture areas, as well as establishing locations where the pressure on water resources by aquaculture prevents the expansion of this activity. Therefore, this study could benefit public and private organizations, and other stakeholders, by systematically monitoring aquaculture production in the country’s leading fish farming state, contributing to assertive decisions in regions where aquaculture production needs to expand sustainably. MenosAquaculture has played a significant and growing role in the provision of food, food security, and job creation, while simultaneously establishing itself as an important agricultural activity subject to increasingly stringent market practices. The generation of spatial information on aquaculture activity in Brazil can support more assertive planning of new enterprises as well as enable the monitoring of this activity over time, fulfilling an agenda of sustainable aquaculture growth in the country. The aim of this article was to map aquaculture areas in the state of Paraná (Brazil) by developing an automated methodology for the extraction of aquaculture ponds. The methodology was implemented on the Google Earth Engine (GEE) platform and utilized satellite images with a spatial resolution of 4.77 m from Norway’s International Climate and Forest Initiative (NICFI) Program – Planet. The process involved pixel-oriented classification of satellite images and the utilization of the Random Forest (RF) algorithm for classification, based on 1200 training samples. The accuracy of the mapping and the algorithm was evaluated using Producer Accuracy (PA), User Accuracy (UA), and Overall Accuracy (OA). The mapping achieved an OA of 0.87, with a PA of 0.89 and a UA of 0.96 for the aquaculture class, and a PA of 0.66 and a UA of 0.41 for the non-aquaculture class. 42,369 aquaculture ponds were identified in the study area, covering a total area of 11,515 ha. The ponds had sizes smaller than... Mostrar Tudo |
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Palavras-Chave: |
Floresta aleatória; Geometric attributes; Google earth engine; Índices espectrais; Machine learning. |
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Thesagro: |
Aquicultura; Floresta. |
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Thesaurus Nal: |
Aquaculture. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
LEADER 03582naa a2200337 a 4500
001 2168969
005 2024-11-08
008 2024 bl uuuu u00u1 u #d
022 $a2352-9385
024 7 $ahttps://doi.org/10.1016/j.rsase.2024.101391$2DOI
100 1 $aSILVA, B. A.
245 $aMapping aquaculture in inland continental areas of Brazil using machine learning on the Google Earth Engine.$h[electronic resource]
260 $c2024
520 $aAquaculture has played a significant and growing role in the provision of food, food security, and job creation, while simultaneously establishing itself as an important agricultural activity subject to increasingly stringent market practices. The generation of spatial information on aquaculture activity in Brazil can support more assertive planning of new enterprises as well as enable the monitoring of this activity over time, fulfilling an agenda of sustainable aquaculture growth in the country. The aim of this article was to map aquaculture areas in the state of Paraná (Brazil) by developing an automated methodology for the extraction of aquaculture ponds. The methodology was implemented on the Google Earth Engine (GEE) platform and utilized satellite images with a spatial resolution of 4.77 m from Norway’s International Climate and Forest Initiative (NICFI) Program – Planet. The process involved pixel-oriented classification of satellite images and the utilization of the Random Forest (RF) algorithm for classification, based on 1200 training samples. The accuracy of the mapping and the algorithm was evaluated using Producer Accuracy (PA), User Accuracy (UA), and Overall Accuracy (OA). The mapping achieved an OA of 0.87, with a PA of 0.89 and a UA of 0.96 for the aquaculture class, and a PA of 0.66 and a UA of 0.41 for the non-aquaculture class. 42,369 aquaculture ponds were identified in the study area, covering a total area of 11,515 ha. The ponds had sizes smaller than 0.7 ha and non-circular shapes (compactness 0.70). Around 40% of the identified aquaculture tanks were concentrated in just two out of the ten analyzed mesoregions, accounting for 40% of the water surface area used for aquaculture in Paraná. Considering that the results obtained show potential to fill the gap in geospatial information about state aquaculture, our methodology would provide a broad understanding of the state’s aquaculture framework, definition of regions with capacity for the expansion of aquaculture ponds, accuracy in estimating the state’s productive space, monitoring the improper expansion of aquaculture areas, as well as establishing locations where the pressure on water resources by aquaculture prevents the expansion of this activity. Therefore, this study could benefit public and private organizations, and other stakeholders, by systematically monitoring aquaculture production in the country’s leading fish farming state, contributing to assertive decisions in regions where aquaculture production needs to expand sustainably.
650 $aAquaculture
650 $aAquicultura
650 $aFloresta
653 $aFloresta aleatória
653 $aGeometric attributes
653 $aGoogle earth engine
653 $aÍndices espectrais
653 $aMachine learning
700 1 $aUMMUS, M. E.
700 1 $aHAYAKAWA, E. H.
700 1 $aBENNERT, A.
700 1 $aADAMI, M.
700 1 $aTROMBINI, C. B.
700 1 $aFEIDEN, A.
700 1 $aVASCO, K. L.
700 1 $aBRITO, A. G.
773 $tRemote Sensing Applications: Society and Environment$gv. 36, 101391, 2024.
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Registro original: |
Embrapa Pesca e Aquicultura (CNPASA) |
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Biblioteca |
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| Registros recuperados : 23 | |
| 4. |  | SANSALONI, C. P.; MAMANI, E. M.; PAPPAS, G. J.; GRATTAPAGLIA, D. Análise populacional e mapeamento genético de microssatélites tetra e pentanucleotídeos em espécies de Eucalyptus. In : ENCONTRO DO TALENTO ESTUDANTIL DA EMBRAPA RECURSOS GENÉTICOS E BIOTECNOLOGIA, 12., 2007, Brasília, DF. Anais: resumos dos trabalhos. Brasília, DF: Embrapa Recursos Genéticos e Biotecnologia, 2007. p. 158.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 5. | | SANTOS, L. P.; SANSALONI, C. P.; FARIA, D. A.; PAPPAS, M. R.; GRATTAPAGLIA, D. Desenvolvimento de marcadores microssatélites baseados em tetra, penta e hexanucleotídeos para análise genética de espécies de Eucalyptus. In: ENCONTRO DO TALENTO ESTUDANTIL DA EMBRAPA RECURSOS GENÉTICOS E BIOTECNOLOGIA, 13., 2008, Brasília, DF. Anais: resumos dos trabalhos. Brasília, DF: Embrapa Recursos Genéticos e Biotecnologia, 2008. Resumo 127. p.177.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 6. | | SANSALONI, C. P.; PETROLI, C. D.; CARLING, J.; ANDRZEJ, K.; GRATTAPAGLIA, D. DArT (Diversity Array Technology): genotipagem de alto desempenho em microarranjos para estudos de diversidade genética e filogenia em Eucalyptus. In: ENCONTRO DO TALENTO ESTUDANTIL DA EMBRAPA RECURSOS GENÉTICOS E BIOTECNOLOGIA, 13., 2008, Brasília, DF. Anais: resumos dos trabalhos. Brasília, DF: Embrapa Recursos Genéticos e Biotecnologia, 2008. Resumo 126. p.176.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 7. | | RESENDE, M. D. V. de; RESENDE JUNIOR, M. F. R.; AGUIAR, A. M.; ABAD, J. I. M.; MISSIAGGIA, A. A.; SANSALONI, C. P.; PETROLI, C. D.; GRATTAPAGLIA, D. Computação da Seleção Genômica Ampla (GWS). Colombo: Embrapa Florestas, 2010. CD-ROM. (Embrapa Florestas. Documentos, 210).| Biblioteca(s): Embrapa Florestas. |
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| 8. | | STEANE, D. A.; NICOLLE, D.; SANSALONI, C. P.; PETROLI, C. D.; CARLING, J.; KILIAN, A.; MYBURG, A. A.; GRATTAPAGLIA, D.; VAILLANCOURT, R. E. Population genetic analysis and phylogeny reconstruction in Eucalyptus (Myrtaceae) using high-throughput, genome-wide genotyping. Molecular Phylogenetics and Evolution, v. 59, p. 206-224, 2011.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 9. | | STEANE, D. A.; MYBURG, A. A.; KILIAN, A.; CARLING, J.; HUTTNER, E.; SANSALONI, C. P.; PETROLI, C. D.; GRATTAPAGLIA, D.; NICOLLE, D.; VAILLANCOURT, R. E. Dart markers herald a new era of eucalyptus phylogenomics. In: INTERNATIONAL PLANT & ANIMAL GENOMES CONFERENCE, 17., 2009, San Diego, CA. [Proceedings...]. [S. l.: s.n.], 2009. W192| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 10. | | GRATTAPAGLIA, D.; RESENDE, M. D. V. de; RESENDE, M. R.; SANSALONI, C. P.; PETROLI, C. D.; MISSIAGGIA, A. A.; TAKAHASHI, E. K.; ZAMPROGNO, K. C.; KILIAN, A. Genomic selection for growth traits in Eucalyptus: accuracy within and across breeding populations. In: IUFRO TREE BIOTECHNOLOGY CONFERENCE, 2011, Arraial d'Ajuda. From genomes do integration and delivery: extended abstracts proceedings. [S.l.]: Embrapa: Veracel: IUFRO, 2011.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Florestas; Embrapa Recursos Genéticos e Biotecnologia. |
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| 11. | | SANSALONI, C. P.; PETROLI, C. D.; STEANE, D. A.; VAILLANCOURT, R. E.; CARLING, J.; MYBURG, A. A.; RESENDE, M. D. V. de; WENZL, P.; KILIAN, A.; GRATTAPAGLIA, D. High-Density diversity arrays technology (DArT) genotyping for cost-effective mapping and genome-wide selection in Eucalyptus. In: INTERNATIONAL PLANT & ANIMAL GENOMES CONFERENCE, 17., 2009, San Diego, CA. [Proceedings...]. [S. l.: s.n.], 2009. Resumo.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Florestas; Embrapa Recursos Genéticos e Biotecnologia. |
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| 12. | | SANSALONI, C. P.; PETROLI, C. D.; CARLING, J.; HUDSON, C.; STEANE, D. A.; MYBURG, A. M.; GRATTAPAGLIA, D.; VAILLANCOURT, R. E.; KILIAN, A. A high-density Diversity Arrays Technology (DArT) microarray for genome-wide genotyping in Eucalyptus. Plant Methods,v.6, n.16, 2010.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 13. | | GRATTAPAGLIA, D.; RESENDE, M. D. V. de; RESENDE, M. F. R.; SANSALONI, C. P.; PETROLI, C. D.; MISSIAGGIA, A. A.; TAKAHASHI, E. K.; ZAMPROGNO, K. C.; KILIAN, A. High realized accuracies of genomic selection for volume growth and wood density in Eucalyptus breeding populations with contrasting effective sizes. In: PLANT & ANIMAL GENOMES CONFERENCE, 19., 2011, San Diego. Conference... [S.l.]: International Plant & Animal Genome, 2011. Abstract. W235: Forest Trees.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Florestas; Embrapa Recursos Genéticos e Biotecnologia. |
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| 14. | | GRANATO, I. S. C.; MARINHO, C. D.; ALMEIDA FILHO, J. E. de; RESENDE, M. D. V. de; SILVA, F. F. e; FERREIRA, K. C. Z.; ROSSE, L. N.; SANSALONI, C. P.; PETROLI, C. D.; GRATTAPAGLIA, D. Seleção de marcadores para os métodos RR-BLUP e BLASSO na seleção genômica ampla. In: CONGRESSO BRASILEIRO DE MELHORAMENTO DE PLANTAS, 7., 2013, Uberlândia. Variedade melhorada: a força da nossa agricultura: anais. Viçosa, MG: SBMP, 2013. p. 285-288.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Florestas; Embrapa Recursos Genéticos e Biotecnologia. |
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| 15. | | GRATTAPAGLIA, D.; RESENDE, M. D. V. de; RESENDE JUNIOR, M. F. R.; SANSALONI, C. P.; PETROLI, C. D.; MISSIAGGIA, A. A.; TAKAHASHI, E. K.; ZAMPROGNO, K. C.; KILIAN, A. Breeding by genomic selection: capturing the missing heritability of complex traits in forest trees. In: NEW PHYTOLOGIST SYMPOSIUM, 26., 2011, Nancy. Bioenergy trees. [S.l.]: INRA, 2011. p. 9.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Florestas; Embrapa Recursos Genéticos e Biotecnologia. |
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| 16. | | GRATTAPAGLIA, D.; SANSALONI, C. P.; PETROLI, C. D.; FARIA, D. A. de; MISSIAGGIA, A. A.; TAKAHASHI, E. K.; ROSSE, L. N.; PAPPAS JUNIOR, G. J.; RESENDE, M. D. V. de. Quantitative genetics and breeding: from phenotype dissection to genomic selection in Eucalyptus breeding. In: IUFRO TREE BIOTECHNOLOGY CONFERENCE, 2009, Whislter. Abstracts. [S.l.]: IUFRO, 2009. p. 13| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Florestas. |
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| 17. | | HUDSON, C. J.; FREEMAN, J. S.; KULLAN, A. R. K.; PETROLI, C. D.; SANSALONI, C. P.; KILIAN, A.; DETERING, F.; GRATTAPAGLIA, D.; POTTS, B. M.; MYBURG, A. A.; VAILLANCOURT, R. E. A reference linkage map for Eucalyptus. BMC Genomics, 13:240, 2012. (Open access).| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 18. | | PETROLI, C. D.; SANSALONI, C. P; CARLING, J.; STEANE, D. A.; VAILLANCOURT, R. E.; MYBURG, A. M.; SILVA JUNIOR, O. B. da; PAPPAS JUNIOR, G. J.; KILIAN, A.; GRATTAPAGLIA, D. Genomic characterization of DArT markers based on high-density linkage analysis and physical mapping to the Eucalyptus genome. PLoS ONE, v. 7, n. 9, set. 2012.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 19. | | GRATTAPAGLIA, D.; SANSALONI, C. P.; PETROLI, C. D.; RESENDE JUNIOR, M. F. R.; FARIA, D. A.; MISSIAGGIA, A. A.; TAKAHASHI, E. K.; ZAMPROGNO, K. C.; KILIAN, A.; RESENDE, M. D. V. de. Genomic selection in Eucalyptus: marker assisted selection coming to reality in forest trees. In: PLANT & ANIMAL GENOMES CONFERENCE, 18., 2010, San Diego. Resumos.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Florestas. |
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| 20. | | ALMEIDA FILHO, J. E. de; AZEVEDO, C. F.; MARINHO, C. D.; RESENDE, M. D. V. de; SILVA, F. F. e; FERREIRA, K. C. Z.; ROSSE, L. N.; SANSALONI, C. P.; PETROLI, C. D.; GRATTAPAGLIA, D. Parametrizações em marcadores dominantes para seleção genômica ampla em eucalipto. In: CONGRESSO BRASILEIRO DE MELHORAMENTO DE PLANTAS, 7., 2013, Uberlândia. Variedade melhorada: a força da nossa agricultura: anais. Viçosa, MG: SBMP, 2013. p. 13-16.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Florestas; Embrapa Recursos Genéticos e Biotecnologia. |
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| Registros recuperados : 23 | |
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| Nenhum registro encontrado para a expressão de busca informada. |
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