CORINE Land Cover is an Europeanwide land cover and land use classification which is based in most countries on visual interpretation of satellite images. The new CORINE2000 classification of Finland is based automated interpretation of satellite images and data integration with existing digital map data. Satellite images are used in estimation of continuous variables describing vegetation type...

The CARTO-CHANGE project addresses the harmonization of existing land cover data (Advanced CORINE LC, CORINE LC and GLOBCOVER) and thereby two aspects: Firstly, the cartographic and statistical comparison of land cover information across different scales and resolutions, and secondly the timely identification of candidate land cover changes by using land cover and land use information derived f...

The European CORINE land cover mapping scheme is a standardized classification system with 44 land cover and land use classes. It is used by the European Environment Agency to report large-scale land cover change with a minimum mapping unit of 5 ha every six years and operationally mapped by its member states. The most commonly applied method to map CORINE land cover change is by visual interpr...

Volunteered Geographic Information has become exponentially available over the Web in the last years. This availability can hide a vast geographical richness and provides us with both a great opportunity to explore new ways to use it and also big challenges related with its unstructured nature. This paper conducts a preliminary analysis of the adequacy of photos from the Flickr and Panoramio in...

The mesoscale numerical weather prediction model MM5, the 5 generation Pennsylvania State University/NCAR Mesoscale Model, uses a global land-use map to set the physical parameters on the surface characteristics to model the soil-atmosphere processes. These parameters are albedo, emissivity, thermal inertia, roughness length and soil moisture. A new estimation of soil parameters is done for the...

Original scientific paper Corine Satellite Detection in combination with GIS may analyse and show the quantitive and qualitive features of a forest belt. As a result, it gives 100 m resolution satellite recordings and may even show horizontal forest dispersness. In order to avoid exceptions and recording overlapping with digitalization, what is considered is a 100 m resolution, an identical pro...

The soil erosion is the most serious environmental problem in watershed areas in Turkey. The main factors affecting the amount of soil erosion include vegetation cover, topography, soil, and climate. In order to describe the areas with high soil erosion risks and to develop adequate erosion prevention measures in the watersheds of dams, erosion risk maps should be generated considering these fa...