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Registro Completo |
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Biblioteca(s): |
Embrapa Agrossilvipastoril. |
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Data corrente: |
01/03/2017 |
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Data da última atualização: |
23/03/2018 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
RODRIGUES, D. A.; VENDRUSCULO, L. G.; ZOLIN, C. A.; LOPES, T. R. |
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Afiliação: |
DANILO AVANCINI RODRIGUES, UFMT-SINOP; LAURIMAR GONCALVES VENDRUSCULO, CNPTIA; CORNELIO ALBERTO ZOLIN, CPAMT; TARCIO ROCHA LOPES, UFMT-SINOP. |
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Título: |
Evaluating clustering methods on topographic and hidrological features on lidar data at forest environment. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
In: JORNADA CIENTÍFICA DA EMBRAPA AGROSSILVIPASTORIL, 5., 2016, Sinop. Anais. Sinop, MT: Embrapa, 2017. p. 14-18. |
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Idioma: |
Inglês |
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Conteúdo: |
The acquisition of high resolution geographic data through laser technology has recently being expanded due to the development of LiDAR (Light Detection and Ranging) system. This technology?s growth is relying on its great ability to acquire information in large quantity and short time. The geographic data provided from laser scanning is capable of raising information for coast planning, assess flooding risk, power transmission network and telecommunication, forests, agriculture, oil, transportation, urban planning, mining, among others (GIONGO et al., 2010). LiDAR technology follows the same principles as the RADAR system, with the difference of using laser pulses to locate features, instead of radio waves. Not only for its ability to deal with large amounts of information in such a short period of time, LiDAR has the advantage upon the classic passive sensors (aerial photographs and satellite images) of not depending on a source of light, and so its data will never present shadows from clouds or neighboring features (GIONGO et al., 2010). Data from LiDAR sensor is distributed in a point cloud where each point has at least three-dimensional spatial coordinates (latitude, longitude and height) that correspond to a particular point on the Earth?s surface from which the laser pulse was reflected. Once LiDAR data is acquired the next step is use algorithms that separate points (also referred to as returns) on the point cloud that represents the ground and the ones above the ground level, those algorithms can then process series of interpolation that allows the operator to generate Digital Elevation Models (DEMs). In order to add information for the points within the DEM, labeling those returns following a pattern and then grouping them on clusters is useful as one of the steps in exploratory data analysis. Several methodologies were developed to organize a pattern of points in a multidimensional space into clusters based on similarity. Points belonging to the same cluster are given the same label and present a pattern where they are more similar to each other than they are to a pattern belonging to a different cluster (JAIN et al., 1999). One example to apply this technology on forestry activities is the application of silvicultural treatment to improve the forest?s productivity, where the decision is taken considering characteristics from the site and sites with similar characteristics may have the same silvicultural system. The variety of techniques for grouping data elements has produced a rich and often confusing assortment of clustering methods. Furthermore, there is a lack of studies grouping topologic and hydrologic variables at forested environments. The goal of this survey is to evaluate k-means and CLARA clustering techniques on a LiDAR-derived DEM from southern Amazonia, in the municipality of Cotriguaçu, Mato Grosso, Brazil. MenosThe acquisition of high resolution geographic data through laser technology has recently being expanded due to the development of LiDAR (Light Detection and Ranging) system. This technology?s growth is relying on its great ability to acquire information in large quantity and short time. The geographic data provided from laser scanning is capable of raising information for coast planning, assess flooding risk, power transmission network and telecommunication, forests, agriculture, oil, transportation, urban planning, mining, among others (GIONGO et al., 2010). LiDAR technology follows the same principles as the RADAR system, with the difference of using laser pulses to locate features, instead of radio waves. Not only for its ability to deal with large amounts of information in such a short period of time, LiDAR has the advantage upon the classic passive sensors (aerial photographs and satellite images) of not depending on a source of light, and so its data will never present shadows from clouds or neighboring features (GIONGO et al., 2010). Data from LiDAR sensor is distributed in a point cloud where each point has at least three-dimensional spatial coordinates (latitude, longitude and height) that correspond to a particular point on the Earth?s surface from which the laser pulse was reflected. Once LiDAR data is acquired the next step is use algorithms that separate points (also referred to as returns) on the point cloud that represents the ground and the ones above the gro... Mostrar Tudo |
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Palavras-Chave: |
Flooding risk; Raising information. |
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Thesaurus Nal: |
LiDAR. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/174439/1/2016-cpamt-zolin-methods-topographic-lidar-forest-p14.pdf
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Marc: |
LEADER 03523nam a2200181 a 4500
001 2065633
005 2018-03-23
008 2017 bl uuuu u00u1 u #d
100 1 $aRODRIGUES, D. A.
245 $aEvaluating clustering methods on topographic and hidrological features on lidar data at forest environment.$h[electronic resource]
260 $aIn: JORNADA CIENTÍFICA DA EMBRAPA AGROSSILVIPASTORIL, 5., 2016, Sinop. Anais. Sinop, MT: Embrapa, 2017. p. 14-18.$c2017
520 $aThe acquisition of high resolution geographic data through laser technology has recently being expanded due to the development of LiDAR (Light Detection and Ranging) system. This technology?s growth is relying on its great ability to acquire information in large quantity and short time. The geographic data provided from laser scanning is capable of raising information for coast planning, assess flooding risk, power transmission network and telecommunication, forests, agriculture, oil, transportation, urban planning, mining, among others (GIONGO et al., 2010). LiDAR technology follows the same principles as the RADAR system, with the difference of using laser pulses to locate features, instead of radio waves. Not only for its ability to deal with large amounts of information in such a short period of time, LiDAR has the advantage upon the classic passive sensors (aerial photographs and satellite images) of not depending on a source of light, and so its data will never present shadows from clouds or neighboring features (GIONGO et al., 2010). Data from LiDAR sensor is distributed in a point cloud where each point has at least three-dimensional spatial coordinates (latitude, longitude and height) that correspond to a particular point on the Earth?s surface from which the laser pulse was reflected. Once LiDAR data is acquired the next step is use algorithms that separate points (also referred to as returns) on the point cloud that represents the ground and the ones above the ground level, those algorithms can then process series of interpolation that allows the operator to generate Digital Elevation Models (DEMs). In order to add information for the points within the DEM, labeling those returns following a pattern and then grouping them on clusters is useful as one of the steps in exploratory data analysis. Several methodologies were developed to organize a pattern of points in a multidimensional space into clusters based on similarity. Points belonging to the same cluster are given the same label and present a pattern where they are more similar to each other than they are to a pattern belonging to a different cluster (JAIN et al., 1999). One example to apply this technology on forestry activities is the application of silvicultural treatment to improve the forest?s productivity, where the decision is taken considering characteristics from the site and sites with similar characteristics may have the same silvicultural system. The variety of techniques for grouping data elements has produced a rich and often confusing assortment of clustering methods. Furthermore, there is a lack of studies grouping topologic and hydrologic variables at forested environments. The goal of this survey is to evaluate k-means and CLARA clustering techniques on a LiDAR-derived DEM from southern Amazonia, in the municipality of Cotriguaçu, Mato Grosso, Brazil.
650 $aLiDAR
653 $aFlooding risk
653 $aRaising information
700 1 $aVENDRUSCULO, L. G.
700 1 $aZOLIN, C. A.
700 1 $aLOPES, T. R.
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Registro original: |
Embrapa Agrossilvipastoril (CPAMT) |
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| Registros recuperados : 31 | |
| 5. |  | BRAGA, D. P.; MEIRELES, K. G. X.; JANK, L.; VALLE, C. B. do. Avaliação proteômica da interação Panicum maximum x Bipolaris maydis. In: JORNADA CIENTÍFICA EMBRAPA GADO DE CORTE, 9., 2013, Campo Grande, MS. [Anais da..]. Campo Grande, MS: Embrapa Gado de Corte, 2013. (Embrapa Gado de Corte. Documentos, 204). Comissão organizadora: Denise Baptaglin Montagner, Grácia Maria Soares Rosinha, Rodrigo Carvalho Alva.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Gado de Corte. |
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| 6. | | ROBLES, C. S.; MEIRELES, K. G. X.; VALLE, C. B. do; LEGUIZAMON, G. O. de C. Análise da expressão diferencial de proteínas envolvidas nos mecanismos de resistência as cigarrinhas-das-pastagens em Brachiaria brizantha. In: JORNADA CIENTÍFICA DA EMBRAPA GADO DE CORTE,5., 2009, Campo Grande, MS. [Anais da ...]. Campo Grande, MS: Embrapa Gado de Corte, 2009. 1 p.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Gado de Corte. |
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| 7. | | ROBLES, C. S.; NASCIMENTO, D. C. do; VALLE, C. B. do; MEIRELES, K. G. X. Análise proteômica de um genótipo susceptível de Brachiaria brizantha durante infestação com as cigarrinhas-das-pastagens. In: INTERNATIONAL SYMPOSIUM ON FORAGE BREEDING, 3., 2011, Bonito, MS. Breeding forage for climate change adaptation and mitigation - eco-efficient animal produtction: proceedings. [Campo Grande, MS: Embrapa Gado de Corte], 2011. 46-48 1 CD-ROM| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Gado de Corte. |
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| 8. | | NASCIMENTO, D. C. do; ROBLES, C. S.; VALLE, C. B. do; MEIRELES, K. G. X. Alterações no proteoma de Brachiaria brizantha relacionadas à resistência as cigarinhas-das-pastagens. In: INTERNATIONAL SYMPOSIUM ON FORAGE BREEDING, 3., 2011, Bonito, MS. Breeding forage for climate change adaptation and mitigation - eco-efficient animal produtction: proceedings. [Campo Grande, MS: Embrapa Gado de Corte], 2011. 72-74 1 CD-ROM| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Gado de Corte. |
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| 9. | | CHIARI, L.; RESENDE, R. M. S.; JUNGMANN, L.; MEIRELES, K. G. X. Caracterização molecular de acessos da leguminosa forrageira Stylosanthes guianensis (AUBL.) SW. In: CONGRESSO BRASILEIRO DE RECURSOS GENÉTICOS; WORKSHOP EM BIOPROSPECÇÃO E CONSERVAÇÃO DE PLANTAS NATIVAS DO SEMI-ÁRIDO, 3.; WORKSHOP INTERNACIONAL SOBRE BIOENERGIA E MEIO AMBIENTE, 2010, Salvador. Bancos de germoplasma: descobrir a riqueza, garantir o futuro: anais. Brasília, DF: Embrapa Recursos Genéticos e Biotecnologia, 2010. 550 p. (Embrapa Recursos Genéticos e Biotecnologia. Documentos, 304). Editora técnica Clara Oliveira Goedert. p. 209| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Gado de Corte. |
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| 11. | | AMORIM, T. R; SILVA, M. J. da; FERNANDES, C. D.; JANK, L.; MEIRELES, K. G. X. Avaliação de genótipos de Panicum maximum quanto à resistência a Bipolaris maydis. In: INTERNATIONAL SYMPOSIUM ON FORAGE BREEDING, 3., 2011, Bonito, MS. Breeding forage for climate change adaptation and mitigation - eco-efficient animal produtction: proceedings. [Campo Grande, MS: Embrapa Gado de Corte], 2011. 254-257 1 CD-ROM| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Gado de Corte. |
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| 13. | | PIRES, L. P.; COLADO, M. L. Z.; VILELA, M. de M.; LEGUIZAMON, G. O. de C.; MEIRELES, K. G. X. Diferenciação molecular de genótipos de Panicum maximum. In: JORNADA CIENTÍFICA EMBRAPA GADO DE CORTE, 10., 2014, Campo Grande, MS. [Anais da..]. Campo Grande, MS: Embrapa Gado de Corte, 2014. p. 66-67. 2 p. (Embrapa Gado de Corte. Documentos, 208). Comissão organizadora: Grácia Maria Soares Rosinha, Alexandra Rocha de Oliveir, Rodrigo Carvalho Alva.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Gado de Corte. |
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| 14. | | NASCIMENTO, D. C. do; MEIRELES, K. G. X.; ROBLES, C. S.; COSTA, P. P. O. L. da. Prospecção de metodologia para extração protéica em gramíneas forrageiras compatível com análise proteômica. In: JORNADA CIENTÍFICA DA EMBRAPA GADO DE CORTE,5., 2009, Campo Grande, MS. [Anais da ...]. Campo Grande, MS: Embrapa Gado de Corte, 2009. 1 p.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Gado de Corte. |
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| 15. | | NASCIMENTO, D. C. do; MEIRELES, K. G. X.; ROBLES, C. S.; COSTA, P. P. O. L. da. Prospecção de metodologias de extração protéica em gramíneas forrageiras visando aplicação em proteômica. In: JORNADA CIENTÍFICA DA EMBRAPA GADO DE CORTE, 6., 2010, Campo Grande, MS. Ética na pesquisa científica: [Anais da ...]. Campo Grande, MS: Embrapa Gado de Corte, 2010. 1 CD-ROM. Coordenadora: Vanessa Felipe de Souza 1 p.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Gado de Corte. |
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| 16. | | MEIRELES, K. G. X.; VALLE, C. B. do; CHIARI, L.; ROBLES, C.; NASCIMENTO, D.; COSTA, P. P. Proteínas expressas em Brachiaria brizantha envolvidas nos mecanismos de resistência às cigarrinhas-das-pastagens. In: SIMPÓSIO SOBRE INOVAÇÃO E CRIATIVIDADE CIENTÍFICA NA EMBRAPA, 2., 2010, Brasília, DF. Anais... Brasília, DF: Embrapa, 2010. Disponível em: . Acesso em: 25 fev. 2010. 1 p. Poster 047.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Gado de Corte. |
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| 17. | | JANK, L.; VALLE, C. B. do; RESENDE, R. M. S.; CHIARI, L.; JUNGMANN, L.; MEIRELES, K. G. X. Forage breeding at Embrapa Beef Catle. In: JANK, L.; CHIARI, L.; VALLE, C. B. do; RESENDE, R. M. S. (Ed.). Forage breeding and biotechnology. Brasília, DF: Embrapa; Campo Grande: Embrapa Gado de Corte, 2013. p. 1-24| Tipo: Capítulo em Livro Técnico-Científico |
| Biblioteca(s): Embrapa Gado de Corte. |
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| 18. | | RESENDE, R. M. S.; VILELA, M. de M.; CHIARI, L.; MEIRELES, K. G. X.; JANK, L.; VALLE, C. B. do. Seleção genômica no melhoramento de forrageiras. In: AZEVEDO, A. L. S.; PEREIRA, J. F.; MACHADO, J. C. (Ed.). Melhoramento de forrageiras na era genômica. Brasília, DF: Embrapa, 2019. 262 p. il. color| Tipo: Capítulo em Livro Técnico-Científico |
| Biblioteca(s): Embrapa Gado de Corte. |
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| 19. | | CHIARI, L.; VALLE, C. B. do; JANK, L.; MEIRELES, K. G. X.; JUNGMANN, L.; RESENDE, R. M. S.; SPANGENBERG, G. Melhoramento molecular como ferramenta para aumentar a qualidade das forrageiras tropicais Brachiaria brizantha e Panicum maximum. In: SIMPÓSIO SOBRE INOVAÇÃO E CRIATIVIDADE CIENTÍFICA NA EMBRAPA, 2., 2010, Brasília, DF. Anais... Brasília, DF: Embrapa, 2010. Disponível em: . Acesso em: 25 fev. 2010. 1 p. Poster 058.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Gado de Corte. |
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| 20. | | MATIAS, F. I.; VIDOTTI, M. S.; MEIRELES, K. G. X.; BARRIOS, S. C. L.; VALLE, C. B. do; CARLEY, C. A. S.; FRITSCHE-NETO, R. Association Mapping Considering Allele Dosage: An Example of Forage Traits in an Interspecific Segmental Allotetraploid Urochloa spp. Crop Science, v. 59, n. 5, p. 2062-2076, september-october, 2019.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Gado de Corte. |
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| Registros recuperados : 31 | |
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| Nenhum registro encontrado para a expressão de busca informada. |
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