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Presented at the CzechGlobe PGS Conference. 2014 Feb 06. Oral presentation. Czech Republic, Brno, 2014. Research area: Taipei urban landscapes, Taiwan R.O.C. Research aim: spatio-temporal analysis of urban dynamics in study area during 15 years (1990-2005) Research objective: application of geoinformatic tools, remote sensing data and application of methodology to spatial analysis for urban studies, a case study of Taipei Current work has been supported by the Taiwan Ministry of Education Short Term Research Award (STRA) for research stay at National Taiwan University (NTU), Department of Geography during April-May 2013. The research was performed using ENVI GIS software using Landsat TM images for years 1990 and 2005. The landscapes in study area at both Landsat TM images were classified using "K-means" algorithm into different land use types The area covered by each land cover class is compared and dynamics is analyzed for respecting years. The changes in selected land cover types were analyzed and the human impacts on natural landscapes detected. Finally, classified land cover types across study area were compared at both maps of land cover types for the years 1990 and 2005, respectively.

The study area is focused on the coastal city of Taipei. The environmental changes of the city were detected by geospatial analysis of the satellite images. The areas occupied by different landscape types were calculated and analysed. It was detected that various districts were developing with different rate and intensity due to the complex factors of both human and ecological origin. The results showed intensive urban development, decline of green areas, increase of urban spaces since 1990. Область исследования сосредоточена на прибрежном городе Тайбэй (Тайвань, Китай). Экологические изменения города были обнаружены с помощью геопространственного анализа спутниковых снимков. Площади, занимаемые различными типами ландшафта, были проанализированы. Было обнаружено, что разные части города развиваются с разной скоростью и интенсивностью из-за сложного сочетания антропогенных и природных факторов. Результаты показали процессы интенсивной урбанизации, деградацию зеленых ареалов, увеличение площадей застроенных территорий с 1990 года.

Current research aims at spatio-temporal analysis of urban dynamics in study area during 15 years (1990-2005). Research objective: application of geoinformatic tools, remote sensing data and application of methodology to spatial analysis for urban studies, a case study of Taipei. Current presentation consists in 2 parts: 1) Overview of the environmental research problem, urbanization and characteristics of Taipei. Consequences of urban sprawl for the global cities, such as Taipei; 2) Detailed technical description of the GIS part: remote sensing data capture, pre-processing, algorithm processing, image classification and spatial analysis. The spatial analysis performed by means of GIS ENVI enabled to use satellite images for social and urban studies. The spatio-temporal analysis was applied to Landsat TM images taken at 1990 and 2005. Built-in functions of the mathematical algorithms (K-means) enabled to process raster Landsat TM images and to derive information from them.

During the last 10 years the environmental conditions in the New Forest (Hampshire, UK) has changed dramatically: the natural ecosystem structure of this unique natural reserve has been affected by the invasion of the bracken (Pteridium aquilinum) – the noxious weed that has spread rapidly over the area of 10*10 km in the New Forest. This paper focuses on remote sensing techniques advantages for environmental monitoring and investigating the endangered area using ENVI software and Landsat Imagery. Using satellite imagery classification will highlight the exact area where the spread of bracken has taken place, its change during the years, and the speed of bracken's spreading (change of bracken coverage in percents), thus helping in environmental decisions making and protecting the unique ecosystem of the National Park of the New Forest.