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Introduction to analysis and visualization of spatial data acquired from databases and satellite images (4EU+)

General data

Course ID:	1900-4EU-IAVSD
Erasmus code / ISCED:	07.1 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. / (0532) Earth science The ISCED (International Standard Classification of Education) code has been designed by UNESCO.
Course title:	Introduction to analysis and visualization of spatial data acquired from databases and satellite images (4EU+)
Name in Polish:	Introduction to analysis and visualization of spatial data acquired from databases and satellite images (4EU+)
Organizational unit:	Faculty of Geography and Regional Studies
Course groups:	(in Polish) Przedmioty dla studentów programu 4EU+ (in Polish) Przedmioty dla studentów programu 4EU+, sem. zimowy
ECTS credit allocation (and other scores):	15.00 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.
Language:	English
Type of course:	elective courses
Prerequisites (description):	Course conducted in a stationary mode in the IT-lab at the Faculty of Geography and Regional Studies University of Warsaw, 90 hours (taught in two days per week: Mon, Fri - in total 8 hours per week). All students entering the course should be already experienced in ArcGIS (Pro) use at the intermediate or higher level, with emphasis put on: usage of spatial database, analysis and visualization of spatial data. Required knowledge concerning: - remote sensing (image databases, basics concepts and basics of digital image processing) - acquisition of spatial data from external sources (including spatial databases) - visualization of quantitative and qualitative data, - basic knowledge on thematic cartography and common thematic map types.
Mode:	Classroom
Short description:	Course conducted in a stationary mode in the IT-lab at the Faculty of Geography and Regional Studies University of Warsaw, 90 hours (taught in two days per week: Mon, Fri - in total 8 hours per week). All students entering the course should be already experienced in ArcGIS (Pro) use at the intermediate or higher level, with emphasis put on: usage of spatial database, analysis and visualization of spatial data. Required knowledge concerning: - remote sensing (image databases, basics concepts and basics of digital image processing) - acquisition of spatial data from external sources (including spatial databases) - visualization of quantitative and qualitative data, - basic knowledge on thematic cartography and common thematic map types.
Full description:	Course 1. Data acquisition and display - 12h (ĆW) Content Raster and vector databases Acquisition of free multispectral satellite data, including Landsat and Sentinel. Basics of analysis and data display. Course 2. Data processing and visualization - 34 h (ĆW) Content Preprocessing of satellite data. Quantitative and qualitative analyses: calculation of remote sensing indicators, basics of image classification. Introduction to map graphics Color use in thematic mapping Common map types Course 3. Change detection analysis and thematic mapping - 44 h (ĆW) Content Qualitative and quantitative analysis of changes in satellite images Visual hierarchy in maps Multivariate thematic mapping Design map layout Execution and presentation of the projects conducted individually by each participant.
Bibliography:	Course 1. Data acquisition and display - 12h (ĆW) Brewer C., 2015, Designing better maps: a guide for GIS users, ESRI Press Course 2. Data processing and visualization - 34 h (ĆW) Golebiowska, I., Korycka-Skorupa, J., and Slomska-Przech, K., 2021. Common Thematic Map Types. The Geographic Information Science & Technology Body of Knowledge (2nd Quarter 2021 Edition), John P. Wilson (ed.). DOI: 10.22224/gistbok/2021.2.7. Kraak MJ, Roth RE, Ricker B, Kagawa A, Le Sourd G, 2020. Mapping for a Sustainable World. United Nations: New York, NY (USA).
Assessment methods and assessment criteria:	Exams, exercises, project

Classes in period "Winter semester 2023/24" (past)

Time span:	2023-10-01 - 2024-01-28	Selected timetable range: weekly course term Navigate to timetable MO CW WAR TU W TH FR PRO
Type of class:	Classes, 12 hours more information Project, 44 hours more information Workshops, 34 hours more information
Coordinators:	Izabela Gołębiowska, Anna Jarocińska, Jolanta Korycka-Skorupa
Group instructors:	Izabela Gołębiowska, Anna Jarocińska, Marcin Kluczek, Jolanta Korycka-Skorupa, Marlena Kycko, Adriana Marcinkowska-Ochtyra, Tomasz Nowacki, Adrian Ochtyra, Wojciech Pokojski, Karolina Wereszczyńska
Students list:	(inaccessible to you)
Examination:	Course - Grading Classes - Grading Project - Grading Workshops - Grading

Classes in period "Winter semester 2024/25" (future)

Time span:	2024-10-01 - 2025-01-26	Selected timetable range: weekly course term Navigate to timetable
Type of class:	Classes, 12 hours more information Project, 44 hours more information Workshops, 34 hours more information
Coordinators:	Izabela Gołębiowska, Anna Jarocińska, Jolanta Korycka-Skorupa
Group instructors:	(unknown)
Students list:	(inaccessible to you)
Examination:	Course - Grading Classes - Grading Project - Grading Workshops - Grading

Course descriptions are protected by copyright.
Copyright by University of Warsaw.