Publicações
Feature extraction for NDVI AVHRR/NOAA time series classification
One of the biggest problems of agribusiness in Brazil is related to estimation and forecasting of agricultural crops. In this problem, time series classification enters as a way to help production estimation. In this paper, we are concerned with the development of an automatic classifier that identifies the areas covered with the sugarcane culture by using Normalized Difference Vegetation Index (N...
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Utilização de Séries Temporais de Imagens AVHRR/NOAA no apoio à Estimativa Operacional da Produção da cana-de-açúcar no Estado de São Paulo
Brazil is the first world producer of sugar cane. The State of Sao Paulo is the first national producer of sugar cane, contributing with more than 60% of national production. Due to the high relevance of production, it is important to have insurance estimates and surveys of areas cultivated with the crop. The progress of the different remote sensing techniques has allowed to use satellite images t...
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