Discriminação de classes de cobertura vegetal utilizando técnicas de classificação digital de imagens de sensoriamento remoto

The aim of this work is to discriminate vegetation classes throught remote sensing images from the satellite CBERS-2, related to winter and summer seasons in the Campos Gerais region Paraná State, Brazil. The vegetation cover of the region presents different kinds of vegetations: summer and winter cultures, reforestation areas, natural areas and pasture. Supervised classification techniques like Maximum Likelihood Classifier (MLC) and Decision Tree were evaluated, considering a set of attributes from images, composed by bands of the CCD sensor (1, 2, 3, 4), vegetation indices (CTVI, DVI, GEMI, NDVI, SR, SAVI, TVI), mixture models (soil, shadow, vegetation) and the two first main components. The evaluation of the classifications accuracy was made using the classification error matrix and the kappa coefficient. It was defined a high discriminatory level during the classes definition, in order to allow separation of different kinds of winter and summer crops. The classification accuracy by decision tree was 94.5% and the kappa coefficient was 0.9389 for the scene 157/128. For the scene 158/127, the values were 88% and 0.8667, respectively. The classification accuracy by MLC was 84.86% and the kappa coefficient was 0.8099 for the scene 157/128. For the scene 158/127, the values were 77.90% and 0.7476, respectively. The results showed a better performance of the Decision Tree classifier than MLC, especially to the classes related to cultivated crops, indicating the use of the Decision Tree classifier to the vegetation cover mapping including different kinds of crops.

Análise do índice de cobertura vegetal da área urbana de Piratininga (SP)

The urban area is now home to 50% of world population and the activities related to their disorganized growth, promote the formation of an unhealthy environment. The urban vegetation is necessary and beneficial, because in addition to bringing the man of nature, mitigates climate change and improve the urban microclimate. This study aimed at surveying and analyzing the rate of existing vegetation in urban Piratininga - SP, and from the data obtained, provide allowance for management and planning of green areas and urban areas. Data came from sample survey conducted in 2007 and computerized survey conducted in 2010 indicated that many new neighborhoods have low opt for planting trees of small to medium which does not enhance the urban environment requiring an environmental planning.

Desenvolvimento de um embutido cárneo fermentado, com teores reduzidos de gordura e sais de cura, através da utilização de culturas probióticas

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Cenários da expansão urbana e da legislação e os reflexos na cobertura vegetal arbórea e arbustiva na cidade de Americana-SP

Pós-graduação em Geografia - IGCE

O impacto do excesso de gordura corporal sobre a remodelação óssea de adolescentes

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)