Detecção e Classificação de padrões da Degradação Florestal na Amazônia por meio de banco de dados celular

Forest degradation is a threat looms over Amazon forest. Detection and Recognition of Forest Degradation patterns are important to address forest state. This study presents the asset of application of a novel free system for spatial data mining, called GeoDMA, for distinguishing patterns in forest degradation in Brazilian Amazon. Types were related to progressive events of decreasing forest canopy. An analysis of land cover dynamic, from satellite image time series, is also showed. Method was based on cell database construction, landscape metrics and data mining techniques. Cell-based classification, provided by GeoDMA, proved to be useful in distinguishing forest degradation patterns. Errors were mostly caused by spatial and spectral resolution constraints of Landsat images (30m) than to the rules used to perform classification. Cell data base construction with resolution of 1km2 was suitable to represent forest degradation typologies. However, we recommend future studies to test finer resolution. Time analyses interval of three years between series data was not appropriate to represent land cover dynamics. Fast transition between forest and clear-cut requires analysis at annual-basis to better determine and detect forest degradation and their trajectories. Patterns have found to São Félix do Xingu may not be enough to represent all the patterns one can distinguish in Amazon region.Pages: 3397-340

Mapeamento do uso e cobertura da terra em áreas desflorestadas no município de Paragominas - PA nos anos de 1991 e 2008

The municipality of Paragominas, case study of this work, located in northeastern Pará State, is appointed on the basis of data PRODES 2009 as one of the cities that suffered deforestation in the state, with nearly 45% of its acreage. However, no one knows for sure, how the evolution of their patterns of land use was or what the targets were allocated to these large areas deforested. Accordingly, the proposed work, using remote sensing techniques, allowed generating land use maps of 1991 and 2008 years, which were crucial to support the determination of the main economic activities in deforested areas. It was observed that part of the forest has been converted into pasture and agriculture. This class showed a significant decrease over the two years, leaving about 77% to 45% of the total area of Paragominas. This decrease led to an increase in the area from other classes, which can be observed for the pasture class. This alternation of classes follows models already reported on the progress of deforestation, resulting in class final use as pasture land. Despite this increase in pasture areas, a new activity is being encouraged in the city, in order to take advantage of open areas and ensure long-term profitability through the sale of wood from reforestation.Pages: 6668-666