Dr. Tania Mezzadri Centeno Profile

Dr. Tania Mezzadri Centeno

at Ctr Federal de Educação Tecnológica do Paraná

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Publications (3)

Proceedings Article | 24 February 2004 Paper

Forestry prediction using cellular automata in satellite images

Rodrigo Goncalves, Tania Centeno, Gilles Selleron

Proceedings Volume 5232, (2004) https://doi.org/10.1117/12.509693

KEYWORDS: Earth observing sensors, Satellite imaging, Satellites, Forestry, Geographic information systems, Remote sensing, Binary data, Image processing, Image resolution, Landsat

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Proceedings Article | 23 January 2002 Paper

Spatiotemporal prediction applying fuzzy logic in a sequence of satellite images

Tania Mezzadri-Centeno, Gilles Selleron

Proceedings Volume 4545, (2002) https://doi.org/10.1117/12.453659

KEYWORDS: Fuzzy logic, Earth observing sensors, Satellites, Satellite imaging, Forestry, Data modeling, Meteorology, Environmental management, Geographic information systems, Ecosystems

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Proceedings Article | 31 December 1996 Paper

Approach of the spatiotemporal prediction using vectorial geographic data

Tania Mezzadri-Centeno, D. Saint-Joan, Jacky Desachy, F. Vidal

Proceedings Volume 2960, (1996) https://doi.org/10.1117/12.262455

KEYWORDS: Forestry, Mathematics, Ecosystems, Photography, Geographic information systems, Data modeling, Raster graphics, Mathematical modeling, Data storage, Calculus

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Spatial evolutions of the anthropized ecosystems and the progressive transformation of spaces in the course of time emerge more and more as a special interest issue in research about the environment. This evolution can present a large preoccupation in space accommodation and environmental domains, and it gives rise to a considerable problem in terms of prospective. How will be the conditions of a region area, between now and 15, 30, or 50 years? In fact, the time consists of hierarchical events and can produce transformations upon a terrain landscape as emergence, disappearing, union of spatial entities. These transformations are called temporal phenomena. We propose to predict the forestry evolution in the forthcoming years on an experimental area which reveals these spatial transformations. For these purposes, we have developed a specific spatio-temporal prediction approach. The idea we present here takes a first step in attacking this problematic, it turns out very interesting results in this domain. We describe in this paper a method for analysis and prediction of terrain landscape for an established date. This method is founded on n geographic maps representing the terrain conditions for distinct years. The basic idea is to employ the observation of the temporal phenomena evolution. In fact, results of this observation represent the evolution of each region area on maps in the course of time. The evolution modeling of the regions is obtained with the help of a sequence of aerial photographies compared through different dates. It allows the geographer interested in environmental prospective problems to get type cartographical documents showing the future conditions of a landscape. This method makes use of vectorial geographic data and it achieves a prediction by means of different comparisons between attributes of regions such as the surface, center and distance between regions. The final shapes and positions of the regions are determined by combining the results stemming from applications of a linear regression method and from mathematic morphology in vectorial domain. The implemented approach model the evolution of the forest in a region of the south of France by using maps for the years 1942, 1962, and 1993. We used this method to study a region located in the Ariege mountains called 'Soulave' to describe the evolution of its landscape for the years 2000, 2005, 2010, 2015, and 2020. The experimental tests have shown promising results.

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