Remote Sensing using IDRISI
This module is based on the book “Remote Sensing with IDRISI® Taiga - A Beginner’s Guide” by Warner & Campagna (Geocarto International Centre, 2009). Some of the most widely used methods for image enhancement (spatial and spectral) and multispectral classification are presented and change detection analysis is introduced. The aim of this module is to explain in detail how to apply these techniques (including data preparation) using the IDRISI software and evaluate the results. The respective theory is explained and the related literature is given. Additionally, most important IDRISI tools for visualisation (also 3-D representation) are discussed this module.
- Displaying Remotely Sensed Data
- Georeferencing and Mosaicking
- Enhancing Image Spatially
- Image ratios
- Other Spectral Enhancement Techniques
- Introducing to Classifying Multispectral Images
- Advanced Classification Issues
- Image Change Analysis (or Change Detection)
|Dipl. Geol. Anna Karnassioti|
Zentrum für Geoinformatik Salzburg
Hellbrunnerstraße 34, A-5020 Salzburg
Born in Athens (Greece) Anna Karnassioti holds a University Degree in Geology (School of Geology - Faculty of Sciences of the Aristotle University of Thessaloniki, Greece). Since 2007 works for the UNIGIS International team of the University of Salzburg Centre for Geoinformatics and part of her tasks are the provide feedback to a student based on availability of correct answers. These should be organization and maintenance of the LMS (Learning Management System) content. Staff member of the IDRISI Resource Centre SALZBURG (IRC).
We would like to inform you that this is an exclusively english language module, hence any kind of communication with the module instructor should be in English. A discussion forum is maintained in Blackboard in order to support efficient module instruction. You are requested to submit all your questions related to this module to this forum only. The instructor will check all incoming comments on a regular basis. She will answer your questions or provide you with pointers for solving your problems. The module is delivered in form of an instructed self-study that is based on explorative learning process and process. Theoretical concepts are complemented with practice oriented examples demonstrated with help of multimedia elements. A discussion forum is used for communication among students and the instructor. Upon completion of the module students are requested to evaluate the module, which is a part of our quality assurance policy and practice.
Software and Literature
IDRISI software from Clarklabs
Literature: WARNER T., CAMPAGNA D., 2009: Remote Sensing with IDRISI® Taiga - A Beginner’s Guide. Geocarto International Centre. (The book is part of the module and will be delivered within)
Assessment and Grading
Instructor assessment is the part of a course that reflects student’s achievements in this module and is conducted through assessing module assignments. It counts towards the academic qualification. The assessment is based on your completed assignments. They must be submitted in written format (.PDF) within the required time period. If (a) assignment(s) is/ are handed in late, the instructor is not obligated to grade it/them. It will be listed as such on your transcript.
|Start:||2 x per year|
|Registration deadline:||two weeks before start|
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