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| 1. |  | CRUZ, G. dos S.; SANTOS, S. P. dos; SILVA, K. J. D. e; COSTA, A. M. S. da; SILVA, M. M. dos S. e. Avaliação de caracteres quantitativos do ensaio de distinguibilidade e estabilidade do feijão-mungo. In: JORNADA DE INICIAÇÃO CIENTÍFICA DA EMBRAPA MEIO-NORTE, 4., 2018, Teresina, PI. Anais da IV Jornada Científica da Embrapa Meio-Norte. Brasília, DF: Embrapa, 2018. p. 19.| Biblioteca(s): Embrapa Meio-Norte. |
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Registro Completo
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Biblioteca(s): |
Embrapa Meio Ambiente. |
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Data corrente: |
17/03/2015 |
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Data da última atualização: |
07/07/2015 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
EBERHARDT, I. D. R.; MELO, M. P.; RIZZI, R.; FORMAGGIO, A. R.; ATZBERGER, C.; LUIZ, A. J. B.; FOSCHIERA, W.; SCHULTZ, B.; TRABAQUINI, K.; GOLTZ, E. |
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Afiliação: |
ISAQUE DANIEL ROCHA EBERHARDT, INPE; MARCIO PUPIN MELLO, BOEING; RODRIGO RIZZI, UFPel; ANTONIO ROBERTO FORMAGGIO, INPE; CLEMENT ATZBERGER, University of Natural Resources and Life Sciences; ALFREDO JOSE BARRETO LUIZ, CNPMA; WILLIAM FOSCHIERA, INPE; BRUNO SCHULTZ, INPE; KLEBER TRABAQUINI, INPE; ELIZABETH GOLTZ, INPE. |
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Título: |
Assessment of suitable observation conditions for a monthly operational remote sensing based crop monitoring system. |
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Ano de publicação: |
2014 |
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Fonte/Imprenta: |
In: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2014, Quebec. Proceedings... Quebec: IEEE, 2014. p. 2126-2129. |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract: Cloud cover is the main issue to consider when remote sensing images are used to identify, map and monitor croplands, especially over the summer season (October to March in Brazi). This paper aims at evaluating clear sky conditions over four Brazilian states (Sa?o Paulo, Parana?, Santa Catarina, and Rio Grande do Sul) to assess suitable observation conditions for a monthly basis operational crop monitoring system. Cloudiness was analyzed using MODIS Cloud Mask product (MOD35), which presents four labels for cloud cover status: cloudy, uncertainty, probably clear and confident clear. R software was used to compute average values of clear sky with a confidence interval of 95% for each month between July 1st, 2000 and June 30th, 2013. Results showed significant differences within and between the four tested states. Moreover, the period from November to March presented 50% less clear sky areas when compared to April to October. |
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Thesagro: |
Nuvem; Produção agrícola; Sensoriamento remoto. |
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Thesaurus NAL: |
Cloud cover; Crop production; Remote sensing. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/126297/1/2014AA83.pdf
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Marc: |
LEADER 01877nam a2200289 a 4500
001 2011631
005 2015-07-07
008 2014 bl uuuu u00u1 u #d
100 1 $aEBERHARDT, I. D. R.
245 $aAssessment of suitable observation conditions for a monthly operational remote sensing based crop monitoring system.$h[electronic resource]
260 $aIn: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2014, Quebec. Proceedings... Quebec: IEEE, 2014. p. 2126-2129.$c2129
520 $aAbstract: Cloud cover is the main issue to consider when remote sensing images are used to identify, map and monitor croplands, especially over the summer season (October to March in Brazi). This paper aims at evaluating clear sky conditions over four Brazilian states (Sa?o Paulo, Parana?, Santa Catarina, and Rio Grande do Sul) to assess suitable observation conditions for a monthly basis operational crop monitoring system. Cloudiness was analyzed using MODIS Cloud Mask product (MOD35), which presents four labels for cloud cover status: cloudy, uncertainty, probably clear and confident clear. R software was used to compute average values of clear sky with a confidence interval of 95% for each month between July 1st, 2000 and June 30th, 2013. Results showed significant differences within and between the four tested states. Moreover, the period from November to March presented 50% less clear sky areas when compared to April to October.
650 $aCloud cover
650 $aCrop production
650 $aRemote sensing
650 $aNuvem
650 $aProdução agrícola
650 $aSensoriamento remoto
700 1 $aMELO, M. P.
700 1 $aRIZZI, R.
700 1 $aFORMAGGIO, A. R.
700 1 $aATZBERGER, C.
700 1 $aLUIZ, A. J. B.
700 1 $aFOSCHIERA, W.
700 1 $aSCHULTZ, B.
700 1 $aTRABAQUINI, K.
700 1 $aGOLTZ, E.
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Registro original: |
Embrapa Meio Ambiente (CNPMA) |
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