Courses list

Wersja polska

Course code: IGS10708o16
Semester: 2016/2017 summer
Name: Environmental Remote Sensing
Major: Geodesy and Cartography
Study Type: first cycle
Course type: compulsory
Study Semester: 6
ECTS points: 4
Hours (Lectures / Tutorials / Other): 15 / 30 / 0
Lecturer: dr inż.Mirosław Kaczałek
Language of instruction: Polish / English
The course in English will be available if a minimum of 6 students sign up for a group. The course taught in Polish with a possibility of support in English if the group has <6 students.Contact person: prof dr hab. inż. Andrzej Borkowski.

Learning outcomes: Knowledge At the end of the course the participants will be familiar with the theoretical foundations of capture of multispectral aerial- and spaceborne imagery of atmosphere, land and water. The acquired knowledge will include methods of multispectral data processing for identification and characterisation of land cover features. The participants will also be able to select and fuse sets of suitable type of remote sensing data sources for a particular purpose. Skills At the end of the course the participants will be able use the remote sensing data processing software package. The participants will be able to carry out supervised and unsupervised classification of multispectral data; to perform the principal component analysis of multispectral data, to perform raster to vector conversion and others. The participants will be able prepare an accuracy statement of the image classification and statistical reports. The participants will also possess operational skills of selecting of a suitable set of data to achieve desired outcome. Expected societal development At the end of the course the participants will gain a broader and a contemporary view of the applications of remote sensing for monitoring and assessment of environment at various scales. The participants will understand the merit and needs of studying of the environment at all scales, and not on local scale only. The participants understand an ever-changing character of remote sensing and a need for continuous education efforts in this field.

Competences:

Prerequisites: none

Course content: Optical properties of the atmosphere. Multispectral data acquisition methods. Processing of digital data. Types and characteristics of various ratios of multispectral channels. Classification of raster images. Raster to vector conversion. Principles of microwave remote sensing. SAR and full polarimetric SAR. Principles of InSAR. Case studies of application of the active remote sensing methods for selected environmental studies. Accuracy of the remote sensing methods.

Recommended literature: Campbell, J. B. (2002). Introduction to remote sensing (3rd ed.). The Guilford Press. ISBN 1-57230-640-8. Jensen, J. R. (2007). Remote sensing of the environment: an Earth resource perspective (2nd ed.). Prentice Hall. ISBN 0-13-188950-8. Jensen, J. R. (2005). Digital Image Processing: a Remote Sensing Perspective (3rd ed.). Prentice Hall.

Assessment methods: Successful completion of two projects (20% each), two tests (15% each) and one major test (30%).

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