The study presents the insights of the tectonic development and geological settings of the Atlantic Ocean supported by cartographic visualization in Generic Mapping Tools (GMT). The aim is to study geologic situation and trends in the tectonic development of the Mid-Atlantic Ridge and Atlantic...

The research aim is application of GIS and spatial analysis of satellite images for agricultural mapping. The study area is located in Mecsek Hills, Hungary. These landscapes represent unique part of Hungarian environment in the Carpathian Basin. Diverse landscape structure with complex...

The research aims at spatial and socio-economic analysis of landscape patterns in Baltic coastal area of Estonia. The process of active suburbanization, which is analysed in the current work, is caused by complex socio-economical factors which arise from sociopolitical changes since the end of...

The paper focuses on analysis of Central Asian hydro- energetic system and water usage in Tian Shan region. Tian Shan system is an important water resource in Central Asia: river waters are intensely taken for hydropower energy, urban systems, irrigation. But geopolitics in Tian Shan is...

Research work analyzes current situation and development of tourism in the region of Baltic Sea. Specific case study of this paper is Pärnu Bay, Estonia. This region is known for unique environmental settings: mild maritime climate, broad beaches, coniferous pine forests on the coastal zone and...

Monitoring wetlands of Kenya is critical for analysis of environmental changes since they present unique ecosystems with special hydrological balance and biodiversity. In this study, the Landsat 8-9 OLI/TIRS satellite images for 2015-2022 were classified using GRASS GIS scripts to evaluate...

Automated classification of satellite images is a challenging task that enables the use of remote sensing data for environmental modeling of Earth’s landscapes. In this document, we implement a GRASS GIS-based framework for discriminating land cover types to identify changes in the endorheic...

The presentation shows using Erdas Imagine software for processing remote sensing data with a case study of Landsa TM images classified to detected land cover types in Aegean region, west Turkey. Two images were processed using Erdas Imageine, classified and changes in landscapes compared. The...

Current presentation introduces an analysis of the land use and current environmental situation of the Tian Shan region. Tian Shan (the ’Celestial Mountains’) is the largest high mountain systems (800,000 km2) in the World. geopolitically, Tian Shan is located in the heart of Central Asia....