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 | Acesso ao texto completo restrito à biblioteca da Embrapa Agricultura Digital. Para informações adicionais entre em contato com cnptia.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
10/08/2009 |
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Data da última atualização: |
15/01/2020 |
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Tipo da produção científica: |
Artigo em Anais de Congresso / Nota Técnica |
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Autoria: |
ROMANI, L. A. S.; ZULLO JÚNIOR, J.; NASCIMENTO, C. R.; GONÇALVES, R. R. V.; TRAINA, C; TRAINA, A. J. M. |
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Afiliação: |
LUCIANA ALVIM SANTOS ROMANI, CNPTIA; JURANDIR ZULLO JÚNIOR, CEPAGRI/UNICAMP; C. R. NASCIMENTO, FEAGRI/UNICAMP; R. R. V. GONÇALVES, FEAGRI/UNICAMP; C. TRAINA, ICMC/USP; A. J. M. TRAINA, ICMC/USP. |
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Título: |
Monitoring sugar cane crops through DTW-based method for similarity search in NDVI time series. |
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Ano de publicação: |
2009 |
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Fonte/Imprenta: |
In: INTERNATIONAL WORKSHOP ON THE ANALYSIS OF MULTI-TEMPORAL REMOTE SENSING IMAGES, 5., 2009, Groton, Connecticut. Proceedings... Storrs: UConn, 2009. |
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Páginas: |
p. 171-178. |
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Idioma: |
Inglês |
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Notas: |
MultiTemp 2009. |
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Conteúdo: |
Brazil is an important sugar cane producer, which is the main resource for ethanol production, a renewable source of energy. Due to the strategical importance of this agricultural commodity, it is necessary to improve models that assist the crops monitoring process. Recently, remote sensing images have also been used to crops monitoring. Vegetation index images obtained by operations between satellite channels, for instance, can be taken over a season, showing the development of crops. Specialists in agrometeorology need methods which aim at understanding and mining these datasets to discover interesting patterns and knowledge. Accordingly, this paper presents a methodology to analyze NDVI time series using a distance function based on dynamic time warping distance (DTW) to perform similarity search. The experiments were done for NDVI multi-temporal images from seven harvests regarding the period from April/2001 to March/2008. NDVI time series was generated from NOAA-AVHRR images of a relevant sugar cane producer region in Brazil. Two different distance functions were compared and DTW reached better results than Euclidean distance. The proposed method allowed comparing harvests in different regions and in the same time series. Results of similarity search on NDVI time series demonstrate the efficacy of the use of distance function to similarity search in remote sensing data. This approach is appropriate to assess patterns in a long time series of multi-temporal images and can assist in the process of decision making by agricultural entrepreneurs. MenosBrazil is an important sugar cane producer, which is the main resource for ethanol production, a renewable source of energy. Due to the strategical importance of this agricultural commodity, it is necessary to improve models that assist the crops monitoring process. Recently, remote sensing images have also been used to crops monitoring. Vegetation index images obtained by operations between satellite channels, for instance, can be taken over a season, showing the development of crops. Specialists in agrometeorology need methods which aim at understanding and mining these datasets to discover interesting patterns and knowledge. Accordingly, this paper presents a methodology to analyze NDVI time series using a distance function based on dynamic time warping distance (DTW) to perform similarity search. The experiments were done for NDVI multi-temporal images from seven harvests regarding the period from April/2001 to March/2008. NDVI time series was generated from NOAA-AVHRR images of a relevant sugar cane producer region in Brazil. Two different distance functions were compared and DTW reached better results than Euclidean distance. The proposed method allowed comparing harvests in different regions and in the same time series. Results of similarity search on NDVI time series demonstrate the efficacy of the use of distance function to similarity search in remote sensing data. This approach is appropriate to assess patterns in a long time series of multi-temporal images and ca... Mostrar Tudo |
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Palavras-Chave: |
Agrometeorologia; Imagens multitemporais de NDVI; Imagens NOAA-AVHRR. |
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Thesagro: |
Agricultura; Cana de açúcar; Sensoriamento remoto. |
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Thesaurus Nal: |
Agrometeorology; Remote sensing; Sugarcane. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
LEADER 02571nam a2200301 a 4500
001 1256605
005 2020-01-15
008 2009 bl uuuu u00u1 u #d
100 1 $aROMANI, L. A. S.
245 $aMonitoring sugar cane crops through DTW-based method for similarity search in NDVI time series.$h[electronic resource]
260 $aIn: INTERNATIONAL WORKSHOP ON THE ANALYSIS OF MULTI-TEMPORAL REMOTE SENSING IMAGES, 5., 2009, Groton, Connecticut. Proceedings... Storrs: UConn$c2009
300 $ap. 171-178.
500 $aMultiTemp 2009.
520 $aBrazil is an important sugar cane producer, which is the main resource for ethanol production, a renewable source of energy. Due to the strategical importance of this agricultural commodity, it is necessary to improve models that assist the crops monitoring process. Recently, remote sensing images have also been used to crops monitoring. Vegetation index images obtained by operations between satellite channels, for instance, can be taken over a season, showing the development of crops. Specialists in agrometeorology need methods which aim at understanding and mining these datasets to discover interesting patterns and knowledge. Accordingly, this paper presents a methodology to analyze NDVI time series using a distance function based on dynamic time warping distance (DTW) to perform similarity search. The experiments were done for NDVI multi-temporal images from seven harvests regarding the period from April/2001 to March/2008. NDVI time series was generated from NOAA-AVHRR images of a relevant sugar cane producer region in Brazil. Two different distance functions were compared and DTW reached better results than Euclidean distance. The proposed method allowed comparing harvests in different regions and in the same time series. Results of similarity search on NDVI time series demonstrate the efficacy of the use of distance function to similarity search in remote sensing data. This approach is appropriate to assess patterns in a long time series of multi-temporal images and can assist in the process of decision making by agricultural entrepreneurs.
650 $aAgrometeorology
650 $aRemote sensing
650 $aSugarcane
650 $aAgricultura
650 $aCana de açúcar
650 $aSensoriamento remoto
653 $aAgrometeorologia
653 $aImagens multitemporais de NDVI
653 $aImagens NOAA-AVHRR
700 1 $aZULLO JÚNIOR, J.
700 1 $aNASCIMENTO, C. R.
700 1 $aGONÇALVES, R. R. V.
700 1 $aTRAINA, C
700 1 $aTRAINA, A. J. M.
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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
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Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
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Registro Completo
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Biblioteca(s): |
Embrapa Gado de Corte; Embrapa Gado de Leite. |
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Data corrente: |
27/08/2018 |
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Data da última atualização: |
24/01/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 2 |
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Autoria: |
SILVA, M. R.; ROCHA, A. da S.; ARAUJO, F. R.; FONSECA-JÚNIOR, A. A.; ALENCAR, A. P. de; SUFFYS, P. N.; COSTA, R. R. da; MOREIRA, M. A. S.; GUIMARÃES, M. D. C. |
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Afiliação: |
MARCIO ROBERTO SILVA, CNPGL; Adalgiza da Silva Rocha, FIOCRUZ; FLABIO RIBEIRO DE ARAUJO, CNPGC; Antônio Augusto Fonseca-Júnior, MAPA / Pedro Leopoldo MG; Andrea Padilha de Alencar, MAPA /Pedro Leopoldo MG; Philip Noel Suffys, FIOCRUZ; Ronaldo Rodrigues da Costa, FHEMIG; Maria Aparecida Scatamburlo Moreira, UFV; Mark Drew Crosland Guimarães, UFMG. |
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Título: |
Risk factors for human Mycobacterium bovis infections in an urban area of Brazil. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
Memórias do Instituto Oswaldo Cruz, v. 113, n. 8, p. e170445, 2018. |
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Páginas: |
6 p. |
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Idioma: |
Inglês |
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Conteúdo: |
ABSTRACT BACKGROUND - The World Health Organization (WHO) has classified human zoonotic tuberculosis (TB) due to Mycobacterium bovis as a neglected issue in the developing world. In a recent cross-sectional study in Brazil, three of 189 TB patients presented with a coinfection of M. bovis and M. tuberculosis and were selected as cases for this study. OBJECTIVE - The aim was to evaluate risk factors (RF) for zoonotic TB in an urban area of Brazil in order to guide preventive programmes. METHODS - A matched case-control study was carried out nested within a cross-sectional study. For each of the three cases, 14 age- and sex-matched controls (TB due to M. tuberculosis) were selected. FINDINGS - Zoonotic potential exposures (ZE) and extrapulmonary TB (EPTB) were independently associated with zoonotic TB in multivariate analyses. CONCLUSIONS - ZE by occupation and consumption of raw milk and derivative products that place individuals in direct and indirect contact with animals and their excretions/secretions increase the risk for zoonotic TB in Brazil, especially among those with EPTB. Therefore, measures such as efficient control of bovine TB, distribution of pasteurised milk and its derivative products, and the diagnosis and monitoring of zoonotic TB in humans are essential steps, especially in developing countries where bovine TB is enzootic, and further studies are necessary. |
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Thesaurus NAL: |
Risk factors; Tuberculosis; Zoonoses. |
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Categoria do assunto: |
H Saúde e Patologia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/181987/1/Cnpgl-2018-Mem-IOCruz-Marcio-Risk.pdf
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/189034/1/Risk-factors-for-human-Mycobacterium-bovis.pdf
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Marc: |
LEADER 02164naa a2200265 a 4500
001 2094593
005 2023-01-24
008 2018 bl uuuu u00u1 u #d
100 1 $aSILVA, M. R.
245 $aRisk factors for human Mycobacterium bovis infections in an urban area of Brazil.$h[electronic resource]
260 $c2018
300 $a6 p.
520 $aABSTRACT BACKGROUND - The World Health Organization (WHO) has classified human zoonotic tuberculosis (TB) due to Mycobacterium bovis as a neglected issue in the developing world. In a recent cross-sectional study in Brazil, three of 189 TB patients presented with a coinfection of M. bovis and M. tuberculosis and were selected as cases for this study. OBJECTIVE - The aim was to evaluate risk factors (RF) for zoonotic TB in an urban area of Brazil in order to guide preventive programmes. METHODS - A matched case-control study was carried out nested within a cross-sectional study. For each of the three cases, 14 age- and sex-matched controls (TB due to M. tuberculosis) were selected. FINDINGS - Zoonotic potential exposures (ZE) and extrapulmonary TB (EPTB) were independently associated with zoonotic TB in multivariate analyses. CONCLUSIONS - ZE by occupation and consumption of raw milk and derivative products that place individuals in direct and indirect contact with animals and their excretions/secretions increase the risk for zoonotic TB in Brazil, especially among those with EPTB. Therefore, measures such as efficient control of bovine TB, distribution of pasteurised milk and its derivative products, and the diagnosis and monitoring of zoonotic TB in humans are essential steps, especially in developing countries where bovine TB is enzootic, and further studies are necessary.
650 $aRisk factors
650 $aTuberculosis
650 $aZoonoses
700 1 $aROCHA, A. da S.
700 1 $aARAUJO, F. R.
700 1 $aFONSECA-JÚNIOR, A. A.
700 1 $aALENCAR, A. P. de
700 1 $aSUFFYS, P. N.
700 1 $aCOSTA, R. R. da
700 1 $aMOREIRA, M. A. S.
700 1 $aGUIMARÃES, M. D. C.
773 $tMemórias do Instituto Oswaldo Cruz$gv. 113, n. 8, p. e170445, 2018.
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Embrapa Gado de Leite (CNPGL) |
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