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Lecturer(s)
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Voženílek Vít, prof. RNDr. CSc.
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Klimánek Martin, doc. Ing. Ph.D.
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Course content
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Learning outcomes of the course unit The aim of the course is to deepen and broaden the knowledge of geoinformation technologies and skills enabling efficient use of available spatial information on forest ecosystems at various levels of research and management. Contemporary management of forest management and planning can no longer be done without the use of digital spatial data and thematically focused and spatially localized services. Precision Forestry uses advanced (precision) technology and analytical tools to support locally-specific economic, environmental, and sustainable forestry decision making, with the necessary components in the form of computer-based systems to support large-scale warehouse management and analysis for multicriterial and operational information delivery. multitemporal decision-making process. The potential of precision forestry is therefore the change, expansion and penetration of spatially-time measures of adaptable forest management, which implies a comprehensive application of geoinformatics in the form of data, information and tools or technologies in a specific subject of interest, overlapping into the green economy and in the context of global climate change.
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Learning activities and teaching methods
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unspecified
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Learning outcomes
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Prerequisites
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unspecified
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Assessment methods and criteria
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unspecified
Professional text and oral discussion
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Recommended literature
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ACHARD, F., HANSEN, M.C. (2013). Global forest monitoring from earth observation. Boca Raton: CRC Press.
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BRIMICOMBE, A. (2010). ): GIS, environmental modeling and engineering. Boca Raton: CRC Press.
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EREDICS, P. J. (2010). Mapping forestry. ESRI Press, Redlands, Calif.
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TUČEK, J. (2011). Geoinformatika a geoinformačné technológie v precíznom lesníctve. Zvolen: Technická univerzita vo Zvolene.
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WENG, Q. (2011). Advances in environmental remote sensing: sensors, algorithms, and applications. Boca Raton: CRC Press.
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