Interdisciplinary applications of spatial data processing II

General data

Course ID:	1900-IZPDP2-OG
Erasmus code / ISCED:	11.3 Kod klasyfikacyjny przedmiotu składa się z trzech do pięciu cyfr, przy czym trzy pierwsze oznaczają klasyfikację dziedziny wg. Listy kodów dziedzin obowiązującej w programie Socrates/Erasmus, czwarta (dotąd na ogół 0) – ewentualne uszczegółowienie informacji o dyscyplinie, piąta – stopień zaawansowania przedmiotu ustalony na podstawie roku studiów, dla którego przedmiot jest przeznaczony. / (unknown)
Course title:	Interdisciplinary applications of spatial data processing II
Name in Polish:	Interdyscyplinarne zastosowania przetwarzania danych przestrzennych II
Organizational unit:	Faculty of Geography and Regional Studies
Course groups:	General university courses General university subjects
ECTS credit allocation (and other scores):	(not available) Basic information on ECTS credits allocation principles: the annual hourly workload of the student’s work required to achieve the expected learning outcomes for a given stage is 1500-1800h, corresponding to 60 ECTS; the student’s weekly hourly workload is 45 h; 1 ECTS point corresponds to 25-30 hours of student work needed to achieve the assumed learning outcomes; weekly student workload necessary to achieve the assumed learning outcomes allows to obtain 1.5 ECTS; work required to pass the course, which has been assigned 3 ECTS, constitutes 10% of the semester student load. view allocation of credits
Language:	Polish
Type of course:	general courses
Prerequisites (description):	Knowledge of the Windows environment, participation on the Interdisciplinary applications of spatial data processing I or bases of image processing
Mode:	Classroom
Short description:	Continuation of Interdisciplinary applications of spatial data processing I. The main objective is to provide practical skills in using the tools of spatial analysis. Course contents: raster and vector management, satellite images acquisition, geometric, radiometric and topographic correction of satellite images, information extraction, data fusion, supervised classification methods, vegetation analysis, data conversion, spatial analysis methods, presentation methods
Full description:	Continuation of Interdisciplinary applications of spatial data processing I. The main objective is to provide practical skills in using the tools of spatial analysis. The course topics: - Methods and tools for remote sensing studies, spectrometric measurements; - Remote sensing databases, - ArcGIS and ENVI software to remote sensing data processing - Images correction - Multispectral and hyperspectral data processing, - Feature extraction using remote sensing data - Classification - Vegetation analysis - Visualization methods
Bibliography:	ArcGIS online help (http://resources.arcgis.com/content/web-based-help) ENVI online manuals (http://www.exelisvis.com/ProductsServices/ENVI/Tutorials.aspx) Zagajewski B., Jarocińska A., Olesiuk D., 2009. Metody i techniki badań geoinformatycznych. 2 wyd. Wydział Geografii i Studiów Regionalnych UW. Warszawa, s. 118. Zagajewski B., 2010. Metodyka terenowych pomiarów radiometrycznych i bioradiometrycznych. W: Olędzki J.R. (red.). Zintegrowane techniki pomiarowe środowiska. Teledetekcja. Uniwersytet Warszawski, Warszawa. Ss. 98-114 Zagajewski B., 2010. Ocena przydatności sieci neuronowych i danych hiperspektralnych do klasyfikacji roślinności Tatr Wysokich, Teledetekcja Środowiska, tom 43, KTŚ PTG, Warszawa, s. 113.
Learning outcomes:	The proper use of geoinformation tools for acquisition and processing of spatial data (aerial and satellite images, digital GIS vector layers), feature extraction, classification.
Assessment methods and assessment criteria:	Exercises done during the classes.
Practical placement:	-

This course is not currently offered.

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Copyright by University of Warsaw.