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Extraction Landscape Elements from Remote Sensing Data
Martinová, Olga ; Kalvoda, Petr (referee) ; Hanzl, Vlastimil (advisor)
In this thesis, an approach to automatically derive information about land cover from the remotely sensed data is presented. The data interpretation was done with classification process and performed in software eCognition Developer. The Object-based image analysis, which assignes the classes - for example land cover types, to clusters of pixels (=objects), was used. For the classification, products of two different data sources were combined - the orthophotos generated from aerial imagery and Normalized Digital surface model derived from LiDAR data. Five types of landscape elements were identified and classified.
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Beyond library spaces: the first decade of the National Library of Technology (NTK) in the new building
Chodounská, Alena ; Firsova, Naděžda ; Martinová, Olga
During the last decade, National Library of Technology (NTK) has become an integral part of the Prague Dejvice campus. The library building, which had almost one million visits in 2019, is very popular, especially among university students, both domestic and international. The library’s inspiring study spaces and facilities, together with its position in the very heart of campus, are a great advantage for fulfilling our mission of supporting students, professors and researchers. However, in order to become a real hub of STEM information and their efficient transfer to the education and research processes, besides the great building and high-quality information sources, a crucial role belongs to user services and the people who provide them. This presentation focuses on the methods used in observing the information needs and habits of NTK’s patrons and students on campus as well as on evaluation of our users’ experiences. These findings are instrumental for continuous and agile space design adaptations and the improvement of service that support academic and professional growth, inquisitiveness, and the competitiveness of our patrons.
Fulltext:  PDF
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Partners in Class: A Needs-Based Approach to High School Curricular Support at the National Library of Technology in Prague
Tvrdá, Pavlína ; Martinová, Olga
This case study discusses the development of courses at the National Library of Technology in Prague (NTK) for different grade levels developed in direct collaboration with several private schools, notably the Austrian School in Prague (OEGP) and the English College in Prague (ECP). These courses were developed in close partnership with teachers at these schools according to specific curricular needs: students at both schools must write a formal paper in order to graduate. For OEGP, a highly structured Vorwissenschaftliche Arbeit (VWA), or “pre-scientific paper,” is required by the Austrian Federal Ministry of Education (2017) for graduation. ECP students must complete the International Baccalaureate Extended Essay (IB EE). The case study contains descriptions of multilingual courses relevant to any libraries who support multilingual research/writing environments—while the IB EE must be written in English, VWA students can select the language of their papers (Czech, English, or German). This poses unique challenges for both NTK instructors and school teachers because different resources and tools must be introduced for different language environments. In our paper, we describe strategies we have developed to overcome such challenges, including our approach to instruction for citation management tools—we recommend different tools for different languages, for example, and coordinate teaching with teachers based on each school’s curriculum. Although information literacy (IL) is supposed to be included in Czech high school programs as a part of a larger discipline, Informatics and Information and Communication Technology (Výzkumný ústav pedagogický v Praze, 2007), the majority of schools neglect IL almost completely (Medková, 2011). This means, among other things, that NTK instructors and school teachers must include in all courses a heavy emphasis on describing relevant resources and introducing the concept of publication ethics, particularly for schools such as OEGP which do not have their own libraries. The paper outlines the next stages of program development, including planned open access learning materials as well as our efforts in encouraging the Czech Ministry for Education, Youth, and Sports to include a formal paper requirement similar to the VWA or IB EE in future high school graduation requirements. At present, most Czech high school students are not required to write a paper in order to graduate (Parliament of the Czech Republic, 2004; Ministry of Education, Youth and Sports of the Czech Republic, 2009). Finally, we relate whether or not our experiences correspond to findings from original research conducted at NTK identifying a gap in writing and research skills for Czech undergraduates in STEM fields (Chodounská, 2016). In closing, we discuss how stronger high school requirements could potentially improve writing and research skills for all students entering university programs
Slides: PDF
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Extraction Landscape Elements from Remote Sensing Data
Martinová, Olga ; Kalvoda, Petr (referee) ; Hanzl, Vlastimil (advisor)
In this thesis, an approach to automatically derive information about land cover from the remotely sensed data is presented. The data interpretation was done with classification process and performed in software eCognition Developer. The Object-based image analysis, which assignes the classes - for example land cover types, to clusters of pixels (=objects), was used. For the classification, products of two different data sources were combined - the orthophotos generated from aerial imagery and Normalized Digital surface model derived from LiDAR data. Five types of landscape elements were identified and classified.
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