Avaliação do comportamento do IVDN utilizando dados SPOT VEGETATION em quatro municípios do Estado de Alagoas

The NDVI is one of the most used methods to analyze the vegetative behavior in large areas, so this study proposed to analyze the behavior of the medium NDVI from the product S-10 derivative of the sensor Vegetantion 2 onboard the satellite SPOT 5 in relation to rainfall in the districts of Arapiraca, Maceió, Piranhas e Porto de Pedras, using data from meteorological stations to the year of 2009. The behavior of the NDVI was observed during that year dissociating the districts of the west region inserted in the savanna biome, where the rainfall occurs less frequently and higher seasonality, different from the districts of the east region inserted in the rainforest biome which also has seasonal rain, but in larger amount during the year. The results presented, by the correlation method of (Karl) Pearson, a very strong positive interconnection between the averages of the NDVI and rainfall, lagged by one month to three of the four cities studied, with r = 0,767 (Arapiraca), r = 0,779 (Maceió) e r = 0,818 (Piranhas), and the district of Porto de Pedras with the highest correlation with the lag for two months (r = 0,890), however lagged by one month, the correlation was found strong in this city, valued r = 0,733.Pages: 5701-570

Estimativa de Produtividade de Cana-de-açúcar utilizando os produtos DMP e EVI, para os municípios de Barretos-SP, Frutal-MG e Uberaba-MG

The following study aimed to develop methodologies for estimating crop productivity of sugar cane, the main tool, the vegetation index EVI / MODIS (Enhanced Vegetation Index) and DMP / VEGETATION (Dry Matter Production), along with agronomic indexes relative to sugarcane productivity and official data of IBGE, for three cities, Barretos - SP, MG and Frutal-Uberaba-MG, using two agrometeorological spectral models. For all the cities best behavior occurred through the agrometeorological model 2, to make estimates of crop productivity. Presenting to Barretos, the model (2) obtained results very close to the official data with values between 91 and 99% of total official disclosed. The model (1) estimated an average of 83.83% during the study period while the model (2) estimated 95.22% for the same period from 2000 to 2009. In Frutal, the model (1) substestimou on average 11% compared to the official figures, and model (2) was closer, overestimating by 4% on average for the years 2000 to 2009. And to Tuticorin, the model (2) was also the one closest to the official results, with an average difference of 5.5% less, even taking into account the results of 2000 underestimated that did not possess all the necessary data while the model (1) showed a mean difference of 11.7% lower over the same period, comprising 2000 to 2009.Pages: 215-22