Lignite mining in Greece has been a huge industry. Especially, in the extraction site of Western Macedonia many villages were relocated due to the site's spatial growth. Public Power Corporation (PPC) SA Ptolemaida lignite mine is the biggest in Balkans that contributes significantly to country's electricity production. This paper aims at formulating a methodological procedure in order to delineate rapidly the lignite coal mine boundaries through an object based image analysis, in Orfeo ToolBox and QGIS. Site boundaries can be modified through expansion of mining activities or unexpectedly due to a natural disaster. For that reason, a Sentinel-2A imagery was obtained and three frequent segmentation approaches were applied including MeanShift, Watershed and Morphological profiles, from a notable remote sensing open source package (Orfeo Toolbox). Following various tests, the optimal parameters for each segmentation algorithm are presented alongside with the corresponding results regarding lignite mine area boundaries delineation. In addition, the proposed methodological framework may apply to different environmental subjects monitoring including large constructions, mineral extraction, landfills and archaeological sites.
The rapid technologic advances in the scientific areas of photogrammetry and remote sensing require continuous
readjustments at the educational programs and their implementation. The teaching teamwork should deal with the challenge
to offer the volume of the knowledge without preventing the understanding of principles and methods and also to introduce
“new” knowledge (advances, trends) followed by evaluation and presentation of relevant applications. This is of particular
importance for a Civil Engineering Faculty as this in Aristotle University of Thessaloniki, as the framework of
Photogrammetry and Remote Sensing is closely connected with applications in the four educational Divisions of the
Faculty. This paper refers to the above and includes subjects of organizing the courses in photogrammetry and remote
sensing in the Civil Engineering Faculty of Aristotle University of Thessaloniki. A scheme of the general curriculum as
well the teaching aims and methods are also presented.
Forest fire is a part of nature playing a key role in shaping ecosystems. However, fire’s environmental impacts can be significant, affecting wildlife habitat and timber, human settlements, man-made technical constructions and various networks (road, power networks) and polluting the air with emissions harmful to human health. Furthermore, fire’s effect on the landscape may be long-lasting. Monitoring the development of a fire occurs as an important aspect at the management of natural hazards in general. Among the used methods for monitoring, satellite data and remote sensing techniques can be proven of particular importance. Satellite remote sensing offers a useful tool for forest fire detection, monitoring, management and damage assessment. Especially for fire scars detection and monitoring, satellite data derived from Landsat 8 can be a useful research tool. This paper includes critical considerations of the above and concerns in particular an example of the Greek area (Thasos Island). This specific area was hit by fires several times in the past and recently as well (September 2016). Landsat 8 satellite data are being used (pre and post fire imagery) and digital image processing techniques are applied (enhancement techniques, calculation of various indices) for fire scars detection. Visual interpretation of the example area affected by the fires is also being done, contributing to the overall study.
Water bodies are particularly important for environment and development issues. Their study requires multiple information. Remote sensing has been proven useful in the above study. This paper concerns the wide area of Lake Orestiada in the region of Western Macedonia in Greece. The area is of particular interest because Lake Orestiada is included in the Natura 2000 network and is surrounded by diverse landcovers as built up areas and agricultural land. Multispectral and thermal Landsat 5 satellite images of two time periods are being used. Their processing is being done by Erdas Imagine software. The general physiognomy of the area and the lake shore are examined after image enhancement techniques and image interpretation. Directions of the study concern geomorphological aspects, land covers, estimation of surface temperature as well as changes through time.
Urban areas can be considered as complex and dynamic systems, the study of which requires broad and reliable information. The required information must be improved and updated and can be collected by different sources, including photogrammetry and remote sensing. The continuous advances of these scientific disciplines in acquisition and processing of their data, but also their synergy with other modern methods and technologies (as laser scanning), make their contribution on urban areas studies (including axes of urban wide surroundings) particularly interesting. This paper refers to the above and includes a relevant example of the city of Thessaloniki, using high resolution satellite data.
The cultural heritage of a country includes, among other things, places, “buildings” and other monuments with historical value. It forms the identity of the country and is undoubtedly a national asset. For this reason, recording - documentation, protection, monitoring and management of cultural heritage is necessary. Different scientific and technological disciplines are involved in the study of cultural heritage. Photogrammetry and remote sensing, with their continuous scientific and technological advances, contribute substantially in this study. This paper refers to the above and includes a relevant example of Dodoni archaeological site, using VHR satellite data.
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