Practical Skills in Remote Sensing and Spatial analysis
Level of Study
Objectives and Content
The aim of the course is to enable the student to understand the theory behind RS analyses and to complete practical RS based applications, using a range of sensors and methodologies.
This course introduces a selection of methods and analytical skills that can be used in practical applications within Earth Observation and Spatial Analysis. The course will cover a variety of topics that can be applied both for further studies and for future career prospects.
The course will focus on the theoretical foundations related to the preprocessing, analysis and post-analysis of remote sensing imagery, as well as the fundamental differences between different remote sensing platforms and sensors.
The course will cover topics such as land cover classification, change detection, photogrammetry and topographic analysis, and Radar Remote Sensing. Data such as aerial photos, digital elevation models, multispectral and SAR satellite imagery will be processed and manipulated during computer practicals.
The course will be held over a two-week period, which will consist of morning lectures/seminars and afternoon computer practicals. Lectures/seminars will introduce the theoretical aspects; computer labs provide the hands-on experience with a range of software, both open source and proprietary.
A student who has completed the course should have the following learning outcomes:
The candidate can:
- Describe and discuss a set of methods to analyse, interpret and assess remotely sensed imagery
- Define and explain the key concepts and terminologies used in remote sensing
- Describe how the electromagnetic spectrum interacts with the terrestrial environment
- List key platforms and sensors and their characteristics
- Identify and explain common processing pathways used in remote sensing
- Describe and quantify error sources within remote sensing analyses
The candidate can:
- Plan, manage and complete a remote sensing based study
- Acquire remote sensing data and assess the suitability for analysis
- Interpret remote sensing and GIS products and understand their metadata
- Choose appropriate methods/algorithms and apply such methods/algorithms to analyse optical, radar, and topographic data
- Automate the processing of spatial data using model builder and scripting
- Interpret, assess and discuss results of image analyses
- Can critically assess and draw on literature on remote sensing and GIS
- Has sufficient knowledge and skills to conduct his/her own GIS and remote sensing investigations
- Can work independently on a selection of proprietary and open-source software
Required Previous Knowledge
GEO215 or similar
Recommended Previous Knowledge
Credit Reduction due to Course Overlap
Access to the Course
Restricted to the following study programmes:
MASV-GEOG Masterprogram i geografi
MASV-MEHA Master's Programme in Geographies of Sustainable Development
MASV-PHYG Master's Programme in Physical Geography
INTL-SV/PSYK/MN/MED/JUS/HF/KMD International students at all UiB faculties
Teaching and learning methods
Lectures and seminars
Compulsory Assignments and Attendance
Presentation of group assignment.
Forms of Assessment
Portfolio assessment and oral poster presentation.
- Portfolio assessment: The portfolio contains a group assignment (25%) and a poster presentation (75%)
- Presentation: The oral poster presentation may adjust the grade
All parts of the assessment must be passed in the same semester.
Assessment in teaching semester
The reading list will be ready before 1 June for the autumn semester and 1 Decemeber for the spring semester.
All courses are evaluated according to UiB's system for quality assurance of education.
The Programme Committee is responsible for the content, structure and quality of the study programme and courses.
Course coordinator and administrative contact person can be found on Mitt UiB.
The Department of Geography at the Faculty of Social Sciences has the administrative responsibility for the course and the study programme.