1000 resultados para índices DRIS
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Incluye bibliografía
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This work aims to analyze the land use evolution in the city of Santa Cruz do Rio Pardo - SP through supervised classification of Landsat-5 TM satellite images according to the maximum likelihood (Maxlike), as well as verifying the mapping accuracy through Kappa index, comparing NDVI and SAVI vegetation indexes in different adjustment factors for the canopy substrate and determining the vegetal coverage percentage in all methods used on 2007, May 26 th; 2009, January 7 th and 2009, April 29 th. The Maxlike classification showed several spatial changes in land use over the study period. The most appropriated vegetation indexes were NDVI and SAVI - 0,25 factor, which showed similar values of vegetal coverage percentage, but discrepant from the inferred value for Maxlike classification.
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Different procedures for the integrated method of diagnosis and recommendation may influence the accuracy of foliar diagnosis of mango. Thus, the objective of this study was to compare the diagnosis of nutritional status of mango obtained by different methods of assessing nutritional status, comparing multivariate relations (method CND) with bivariate relationships (DRIS) i.e., variations in the use of specific or preliminary standards and a logarithmic transformation of the data. The macro and micronutrient leaf analysis results of 63 mango orchards of Lower-middle São Francisco River Valley, Brazil, were used. To interpret nutritional status the Potential Response to Fertilization (PRA) criteria was used. The CND and DRIS methods, with and without logarithmic transformation and using specific or preliminary standards, which showed similar performance in assessing the nutritional status of the mango in Lower-middle San Francisco. Mango orchards in the semiarid region of northeast Brazil, the micronutrient deficiencies (Zn, Fe and Cu) were more frequent than macronutrient deficiency.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
Estimativa e análise de índices de irregularidades da ionosfera utilizando dados GPS de redes ativas
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Observable GNSS (Global Navigation Satellite System) are affected by systematic errors due to free electrons present in the ionosphere. The error associated with the ionosphere depends on the Total Electron Content (TEC), which is influenced by several variables: solar cycle, season, local time, geomagnetic activity and geographic location. The GPS (Global Positioning System), GLONASS (Global Orbiting Navigation Satellite System) and Galileo dual frequency receivers allow the calculation of the error that affects the GNSS observables and the TEC. Using the rate of change of TEC (ROT - Rate of TEC) indices that indicate irregularities of the ionosphere can be determined, allowing inferences about its behavior. Currently it is possible to perform such studies in Brazil, due to the several Active Networks available, such as RBMC/RIBaC (Rede Brasileira de Monitoramento Contínuo/Rede INCRA de Bases Comunitárias) and GNSS Active Network of São Paulo. The proposed research aimed at estimating and analysing of indexes of irregularities of the ionosphere, besides supplying the geosciences of information about the behavior of the ionosphere.
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Incluye Bibliografía
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)