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Decision tree (DT) induction has been widely used in different pattern classification. However, most traditional DTs have the disadvantage that they consider only non-spatial attributes (ie, spectral ...
Remotely sensed spectral imagery, geophysical (magnetic and gravity), and geodetic (elevation) data are useful in a variety of Earth science applications such as environmental monitoring and mineral e...
Spectral unmixing of hyperspectral data often fails to select some minerals and rocks having flat spectra but no diagnostic absorption features as endmembers, even if they are actually important endme...
Copernicus is an European system created for Earth observation and monitoring. It consists of a set of Earth observation satellites and in-situ sensors that provide geo-information that are used, thro...
Throughout the human history floods have been an integral part of the civilization. Still men have not quite coped well to live with floods. Flood hazards result from a combination of physical exposur...
The hybrid classifier is presented in combination of expert system and object oriented approach, for which increased information is added for classification and improve the accuracy. Instead of the or...
The atmosphere contains solid and liquid particles (aerosols) and clouds, which interact with the incoming and outgoing radiation in a complex and spatially very variable manner. Aerosol particles are...
Within the scope of processing large amounts of data and complex calculations the use of grid computing is a good choice for achieving high performance, because processing of extensive spatial data ca...
The aim of the project is the development of an Early Warning system for flood events based on precipitation analysis and related to historical flooded area detection.The recently change of Humanitari...
The Environmental Mapping and Analysis Programme EnMAP is a hyperspectral satellite mission, supposed to be launched into space in the near future. EnMAP is designed to be revolutionary in terms of sp...
During disaster and emergency situations, geospatial data plays an important role to serve as a framework for decision support system. As one component of basic geospatial data, large scale topographi...
Coffee is one of Brazil’s most important cash crops due to the incomes generated by exportation. The state of Minas Gerais’ production, which represents approximately half of the total national prod...
Lawns are ubiquitous in the American urban landscapes. However, little is known about their impact on the carbon and water cycles at the national level. The limited information on the total extent and...
The images obtained by the HRSC (High Resolution Stereo Camera) on Mars Express show excellent potential for topographic mapping of the planet. The derived stereo models agree with topographic data o...
Our project aims to automate Mars mapping and localization using robotic stereo and descent imagery. Stereo vision is a wellstudied domain. However, most efforts aim only at a general scene; little w...

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