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Field remote sensing data analysis (ERASMUS)

General data

Course ID:	1900-ERASMUS-FRS
Erasmus code / ISCED:	07.9 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. / (0539) Physical sciences, not elsewhere classified The ISCED (International Standard Classification of Education) code has been designed by UNESCO.
Course title:	Field remote sensing data analysis (ERASMUS)
Name in Polish:	Field remote sensing data analysis (ERASMUS)
Organizational unit:	Faculty of Geography and Regional Studies
Course groups:	(in Polish) Przedmioty dla studentów ERASMUSA (in Polish) Przedmioty dla studentów programu ERASMUS, sem. letni
ECTS credit allocation (and other scores):	3.00 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
Main fields of studies for MISMaP:	applied geology environmental protection geography geology spatial development
Type of course:	elective courses
Prerequisites (description):	(in Polish) - The B2 level English (spoken and written) - knowledge of remote sensing basis
Mode:	Classroom
Short description:	(in Polish) The aim of this course is to prepare students for planning, acquiring and processing field measurements dedicated to remote sensing analysis. The course will cover such issues as remote sensing data acquisition emphasizing methods of field studies, data preparation (selecting, pre-processing, storing), statistical analysis, processing of the data, Students will discuss the data processing workflow and plan their own analysis.
Full description:	(in Polish) The aim of this course is to prepare students for planning, acquiring and processing field measurements dedicated to remote sensing analysis. The course is realized as a series of seminar meetings with exercises, presentations of projects, discussion on presented researches. 1. Methods used in Field RS basics based on ebook. 2. Remote sensing techniques including field measurements in applications analysis of different papers. 3. Short project ofplanning and processing field data (the aim, the literature background, presentation of research methods, the concept of own methodology, obtained results) and their discussion. The course will cover such issues as remote sensing data acquisition emphasizing methods of field studies, data preparation (selecting, pre-processing, storing), statistical analysis, processing of the data, problems during field measurements. The course accentuates the development of students English language skills and familiarizes them with English remote sensing terminology.
Bibliography:	(in Polish) Roger M. McCoy (2005) Field Methods in Remote Sensing . THE GUILFORD PRESS. New York London Journals: 1. Remote Sensing of Environment 2. Remote Sensing 3. International Journal of Remote Sensing 4. European Journal of Remote Sensing
Learning outcomes:	(in Polish) KNOWLEDGE: - Knows the basic issues of the theory of geographical information, SKILLS: - Student uses geographical terminology in English language at the B2+ level, SOCIAL COMPETENCE: - Ability to work in the team
Assessment methods and assessment criteria:	(in Polish) The final grade depends on: - the quality of 3 oral presentations, - activities during the classes. The choice of topic, presentation of the literature background (other similar researches), presentation of research methods, the concept of own methodology, obtained results and their discussion are assessed. Students who do not meet these requirements are required to repeat the course in the next cycle of classes. Absence during two classes is allowed.
Practical placement:	No.

Classes in period "Summer semester 2023/24" (in progress)

Time span:	2024-02-19 - 2024-06-16	Selected timetable range: weekly course term Navigate to timetable MO KON TU W TH FR
Type of class:	Seminar, 20 hours more information
Coordinators:	Anna Jarocińska
Group instructors:	Anna Jarocińska
Students list:	(inaccessible to you)
Examination:	Course - Grading Seminar - Grading

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

Time span:	2025-02-17 - 2025-06-08	Selected timetable range: weekly course term Navigate to timetable
Type of class:	Seminar, 20 hours more information
Coordinators:	Anna Jarocińska
Group instructors:	(unknown)
Students list:	(inaccessible to you)
Examination:	Course - Grading Seminar - Grading

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