The aim of the research was to analyse the urbanized landscape change in Vilnius district. The study covers the period between the years 2009 and 2014. The study used to perform statistical, literary and comparative analysis, inventory, data systematization, graphic modelling and logical abstract methods. The results showed that during the analysed period the urbanized areas of agricultural land increased the most, these areas have increased by 593.26 hectares (30 percent of the total built-up area).

The territorial planning and the management of urban surfaces force the decrease of green spaces in urban landscapes. As the urbanization process during past decades of the last century was quite intensive not only in Europe but also in Lithuania, findings describing changes of forest cover as well as spatial structure of the forest land are requested.

Land as a production factor occupies a special position in the economic activities of the urban population. Land resources in big cities are not only territorial basis for placing industrial and production structures, but also a space for urban life in general. However, to assess the effectiveness of urban land use, primarily the ecological and economic potential of the use of the urban land resources should be determined aimed at sustainable development of urban agglomerations (Volodchenkov, 2010).

Nowadays it is necessary to process geographic data about landscape in a digital way. It is possible to analyse selected data and approach to decision and proposition-making process of landscaping based on analysis of these results. The LANDEP methodics provides us verified procedures of primary landscape structures assesment and landscaping. Digitalization of selected landscape elements increases processing efficiency, mainly for time reasons. Creation of complex landscape plans of cadastral areas at Slovakia should become a basic priority of every commune.

Urbanization is a major threat on biodiversity due to the direct destruction of natural and semi-natural habitats and to the indirect impacts caused by urban areas beyond their limits. In this study, we proposed a methodological framework to assess the potential impacts of current and future urbanization on high diversity sites and their associated species across the entire French Mediterranean region. Using a 100 m grid cell, we adapted a land-use change (LUC) model to project future urbanization over a 20 years period.

In this study, we compared pixel-based image analysis and object-based image analysis (OBIA) as methods of land cover classification of urban areas, using high resolution digital aerial photography. The study area was Setagaya Ward, Tokyo, Japan, and we carried out supervised classification using aerial photographs with 25-cm spatial resolution, and with both visible bands and a near infrared band. The overall accuracy of the object-based classification was approximately 6 to 20 percentage points higher than that of the pixel-based classification.

The article presents the comparative analysis of the Kaunas city anthropogenic landscape change during the period between 2006 and 2014. For this analysis the land fund statistics of the Republic of Lithuania were used. The components of anthropogenic landscape change are graphically shown in the figures. During the analysis the Kaunas city statistics were compared with the data of Kaunas County and the Republic of Lithuania. Comparative, analytical as well as statistical and logical analysis methods were used for the investigation.

The issue of brownfields and their analysis in Slovakia have not been given such emphasis over the last decade as in the neighbouring EU countries, such as in Austria or in the Czech Republic. The situation is completely different in Bratislava and also in the rest of Slovakia and the development of this type of area is almost unrealized. A frequent argument is problematic ownership relationships to the unused, degraded land. However, the real problem is the higher financial costs associated with brownfields regeneration.

The article presents the analysis of the current situation of the forest area in Alytus and Vilnius Counties. Comparative, analytical as well as statistical and logical analysis methods were used for the investigation. The aim of the investigation is to carry out the analysis of the Alytus and Vilnius Counties forest area during the period between the years 2006 and 2018. The object of the investigation – Alytus and Vilnius Counties forest area. Tasks of the investigation: 1. To describe the status quo of forest in Alytus and Vilnius Counties. 2.

Yangon, the former capital of Myanmar, is the major economic areas of the country. Also, the urban areas have significantly increased. However, Yangon has problems with disasters such as flood and earthquake. To support disaster risk management in Yangon, Myanmar, the estimation of urban expansion is required to understand the mechanism of urban expansion and predict urban areas in the future. This research proposed a methodology to develop urban expansion modeling based the dynamic statistical model using Landsat Time-Series and GeoEye Images.