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Segmentation of satellite images is one of the main tasks that need to be solved in the process of detection of geometric forms belonging to distinct land covers. In recent years a great variety of m...
LiDAR technology provides two different kinds of data: elevation, obtained by differences in time of the emitted and received laser signal; and intensity, obtained by differences of reflected laser be...
The purpose of this study is to clarify the relationship between the distribution of small-scale green spaces and butterfly assemblages in urbanizing areas located north-east of Ichikawa City. Landsca...
QuickBird imagery covering Kakamega Forest in Western Kenya and the surrounding farmland (i.e. a total area of 631 km2) has been acquired for the interdisciplinary BIOTA East Africa research project. ...
The detailed analysis of urban regions is among those areas which most benefited from the availability of high-resolution satellite data such as e.g. IKONOS and QUICKBIRD. These data offer as well hig...
Informal settlements behave very dynamical over space and time and the number of people living in such housing areas is growing worldwide. The reasons for this dynamical behaviour are manifold and are...
The availability of up-to-date and reliable land cover maps is of great importance for many earth science applications. For the generation of operational and transferable land cover products the devel...
Uncontrolled sprawl occurring in large cities of developing countries requires intensive mapping efforts to update geodatabases. The intense urbanization process experienced since the 70’s in Sao Paul...
Boreal forests and wetlands play an important role in the climate system, in particular through biosphere-atmosphere flux exchanges.They are an important pool of carbon and their role as sink or sourc...
Continuous monitoring and updating of distribution maps is essential for conservation and management of plant communities,especially in regions where change and development are rapid. Traditional meth...
The increase of tourism in coastal protected areas is potentially one of the drivers of ecosystem fragmentation with the consequent important damages to their biodiversity values. One of the key manag...
In this work, a methodological framework employing image processing techniques has been developed and applied on a LANDSATETM+ image of Alevrada, Greece. Pre-processing of the satellite image was foll...
This paper presents concepts for an object based mapping and classification system for terrestrial oil spill pollutions in West-Siberia using Quickbird data. The work presented is part of the OSCaR pi...
The Support Vector Machine is a theoretically superior machine learning methodology with great results in classification of highdimensional datasets and has been found competitive with the best machin...
In order to avoid the time-consuming trial-and-error practice for seeking significant features for optimal class separation in object-based classification, an automatic feature extraction methodology,...

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