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| Picoli,Michelle C. A.; Lamparelli,Rubens A. C.; Sano,Edson E.; Rocha,Jansle V.. |
| Some models have been developed using agrometeorological and remote sensing data to estimate agriculture production. However, it is expected that the use of SAR images can improve their performance. The main objective of this study was to estimate the sugarcane production using a multiple linear regression model which considers agronomic data and ALOS/PALSAR images obtained from 2007/08, 2008/09 and 2009/10 cropping seasons. The performance of models was evaluated by coefficient of determination, t-test, Willmott agreement index (d), random error and standard error. The model was able to explain 79%, 12% and 74% of the variation in the observed productions of the 2007/08, 2008/09 and 2009/10 cropping seasons, respectively. Performance of the model for the... |
| Tipo: Info:eu-repo/semantics/other |
Palavras-chave: Synthetic aperture radar; L-band; Modeling; Remote sensing. |
| Ano: 2014 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162014000600019 |
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| Antonini,Jorge C. dos A.; Silva,Euzebio M. da; Griebeler,Nori P.; Sano,Edson E.. |
| The objective of this work was to develop and validate a mathematical model to estimate the duration of cotton (Gossypium hirsutum L. r. latifolium hutch) cycle in the State of Goiás, Brazil, by applying the method of growing degree-days (GD), and considering, simultaneously, its time-space variation. The model was developed as a linear combination of elevation, latitude, longitude, and Fourier series of time variation. The model parameters were adjusted by using multiple-linear regression to the observed GD accumulated with air temperature in the range of 15°C to 40°C. The minimum and maximum temperature records used to calculate the GD were obtained from 21 meteorological stations, considering data varying from 8 to 20 years of observation. The... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Growing degree-days; Base temperature; Thermal requirement; Fourier series. |
| Ano: 2011 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162011000400004 |
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| Novo,Evlyn Márcia Leão de Moraes; Ferreira,Laerte Guimaraes; Barbosa,Cláudio; Carvalho,Claudio; Sano,Edson E.; Shimabukuro,Yosio; Huete,Alfreado; Potter,Christopher; Roberts,Dar.A.; Hess,Laura L.; Melack,John J.; Yoshioka,Hiroki; Klooster,Steven; Kumar,Vipin; Myneni,Ranga; Ratana,Piyachat; Didan,Kamel; Miura,Tomoaki. |
| Este artigo se propõe a apresentar exemplos de questões científicas que puderam ser respondidas no contexto do Projeto LBA (Large Sale Biosphere-Atmosphere Experiment in Amazonia) graças à contribuição de informações derivadas de sensoriamento remoto. Os métodos de sensoriamento remoto permitem integrar informações sobre os vários processos físicos e biológicos em diferentes escalas de tempo e espaço. Nesse artigo, são enfatizados aqueles avanços de conhecimento que jamais seriam alcançados sem a concorrência da informação derivada de sensoriamento. |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Sensoriamento remoto; Padrões; Processos. |
| Ano: 2005 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0044-59672005000200016 |
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