NGEK10009U Remote Sensing of the Bio-Geosphere (1+2)
Volume 2013/2014
Education
MSc Programme in Geography
and Geoinformatics
MSc Programme in Agriculture
MSc Programme in Geology and Geosciences
MSc Programme in Agriculture
MSc Programme in Geology and Geosciences
Content
This competence-line course teaches state-of the art research within the field Remote sensing of the bio-geosphere
Learning Outcome
Knowledge:
Advanced physical principles in optical and thermal remote sensing, reflectance and emissions. Remote sensing sensors and platforms, data and data formats, data processing and modelling. Hyperspectral remote sensing. Vegetation parameters (vegetation indices, net primary production). Trend analysis and land change modelling. Global trend studies. Data quality and uncertainties. Remote sensing applications in hydrology (soil moisture, evapotranspiration, flooding). Remote Sensing of fires. Remote sensing of Snow and Ice. Remote Sensing software.
Advanced physical principles in optical and thermal remote sensing, reflectance and emissions. Remote sensing sensors and platforms, data and data formats, data processing and modelling. Hyperspectral remote sensing. Vegetation parameters (vegetation indices, net primary production). Trend analysis and land change modelling. Global trend studies. Data quality and uncertainties. Remote sensing applications in hydrology (soil moisture, evapotranspiration, flooding). Remote Sensing of fires. Remote sensing of Snow and Ice. Remote Sensing software.
Skills:
- read scientific literature related to the course subjects.
- apply, evaluate and analyse methods, theories and data related to the course subjects.
- use correct scientific definitions and terms.
- give a short, concise and well-illustrated oral presentation on the basis of scientific papers.
- write a short, concise report aimed at colleagues within the business world, public institutions or research institutions.
Competences:
identify and work out proposal for solving comlex geographical problems using theory, data and methods
conduct and carry out large scale field work, data collection and subsequent analyses
access own professional geographical skills in relation to other subjects
cooporate and work with people from other professions
Literature
Please see Absalon course
page
Academic qualifications
BSc in Geography and
Geoinformatics or equivalent
Teaching and learning methods
The form of teaching and
work will be class teaching with active participation of students
by means of student presentations and group-work.
Remarks
Students from Geology and
Geography can choose to follow block 1 only by signing up for the
course "Remote Sensing of the Bio-Geosphere (1)" instead
and get 7.5 ECTS-point. In this case the examination form is the
lecturer's approval of an assignment.
Workload
- Category
- Hours
- Preparation
- 272
- Project work
- 70
- Theory exercises
- 70
- Total
- 412
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As an exchange, guest and credit student - click here!
Continuing Education - click here!
Exam
- Credit
- 15 ECTS
- Type of assessment
- Oral examination, 30 minutesWritten assignmentThe written assignment is prepared during the course and must be handed in prior to the exam week. The oral exam uses the written assignment as its point of departure. It includes the titles listed in the officially approved reading list.
All students must hand in a written assignment after block 1. The assignment must be approved by the teacher. Students must have an approved block 1 assignment to continue with the course and participate in the block 2 exam. - Aid
- Without aids
- Marking scale
- 7-point grading scale
- Censorship form
- External censorship
Criteria for exam assesment
Please see learning outcomes
Course information
- Language
- English
- Course code
- NGEK10009U
- Credit
- 15 ECTS
- Level
- Full Degree Master
- Duration
- 2 blocks
- Placement
- Block 1 And Block 2
- Schedule
- B
- Course capacity
- No limit
- Continuing and further education
- Study board
- Study Board of Geosciences and Management
Contracting department
- Department of Geoscience and Natural Resource Management
Course responsibles
- Rasmus Fensholt (rf@ign.ku.dk)
Saved on the
28-05-2013