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The optional lecture is focused on the use of remote sensing in the field of the environment in the broader context of natural sciences. The lecture includes chapters on development and historical context, data structures, basic methods for processing satellite images, aerial images and laser scanning data. Also included are circuits focused on the use of remote sensing methods in the estimation of air pollution in the urban environment. The presentation of individual approaches to data processing is based on methodological materials from Leica Geosystems, ENVI, Definiens, ESRI (Environmental Systems Research Institute) and specialist foreign literature. Basic knowledge of the English language is required to master the exercises. The lecture is also available in the MOODLE system.
Last update: Matějíček Luboš, Ing., Ph.D. (14.03.2024)
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Burrough, P.A., McDonnell, R.A., 1998. Principles of Geographical Information Systems. Oxford University Press, Oxford. Last update: Matějíček Luboš, Ing., Ph.D. (14.03.2024)
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The subject MO550P78 DPZ application is currently taught by distance learning. Presentations of lectures and assignment of demo tasks are available on MOODLE: https://dl2.cuni.cz/course/view.php?id=1694 in pdf format. To be awarded credit, demo tasks must be completed and the required results submitted for review in MOODLE by the end of the grading period. The task is completed when more than 50 points are obtained in the range of 0 to 100. The recommended submission deadline is the next exercise. Last update: Matějíček Luboš, Ing., Ph.D. (14.03.2024)
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Thematic blocks: Exploratory spatial data analysis: Landsat 5-9 Exploratory spatial data analysis: Sentinel 2 Explore satellite imagery for Africa Get started with change detection for Africa Go further with imagery for Africa Landsat surface reflectance-derived spectral indices Processing multidimensional raster data Unsupervised classification Supervised classification MATLAB Image Toolbox MATLAB Lidar Toolbox A planetary-scale platform for Earth science data & analysis Last update: Matějíček Luboš, Ing., Ph.D. (14.03.2024)
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