Module also offered within study programmes:
General information:
Name:
GIS and Remote Sensing
Course of study:
2017/2018
Code:
BGG-2-106-EG-s
Faculty of:
Geology, Geophysics and Environmental Protection
Study level:
Second-cycle studies
Specialty:
Economic Geology
Field of study:
Mining and Geology
Semester:
1
Profile of education:
Academic (A)
Lecture language:
English
Form and type of study:
Full-time studies
Course homepage:
 
Responsible teacher:
dr inż. Magiera Janusz (magiera@geol.agh.edu.pl)
Academic teachers:
dr inż. Magiera Janusz (magiera@geol.agh.edu.pl)
Module summary

Description of learning outcomes for module
MLO code Student after module completion has the knowledge/ knows how to/is able to Connections with FLO Method of learning outcomes verification (form of completion)
Social competence
M_K001 As the GIS is relatively new IT in the geoscience field, the student attending the course understands the need for continuous further education and upgrading his Earth science and IT knowledge and skills. GIS projects are commonly carried out in teams, therefore, he/she develops his/her abilities for a team-work and for proper planning of multi-stage works. GG2A_K03 Involvement in teamwork
Skills
M_U001 Student who completes the course is able to: - recognize, define and convert basic formats of the spatial data; - find and use resources in the public domain (WMS, WFS etc.); - find and purchase commercial resources of the spatial data; - create his own data by digitizing and DB building; - recognize, define and convert coordinate reference systems GG2A_U10 Examination,
Test
M_U002 Having completed the course student is able to: - select and apply tools of editing, processing and analysis appropriate to the needs and goals of the project; - acquire GPS data and apply them to the GIS projects; - present results of spatial processing and analysis as maps, report, presentation etc. GG2A_U01 Examination,
Test
M_U003 Having completed the course student is able to: - select and apply tools of editing, processing and analysis appropriate to the needs and goals of the project; - acquire GPS data and apply them to the GIS projects; - present results of spatial processing and analysis as maps, report, presentation etc GG2A_U09 Project
Knowledge
M_W001 Student who completes the course: - knows and understands principles of GIS: spatial and attribute data and scope of their processing and analysis; - knows GIS software and its suppliers; - knows formats of the data; - knows cartographic projections and coordinate reference systems; - knows and understands rpinciples of satellite navigation systems GG2A_W02 Examination,
Test
M_W002 Student have a knowledge of using advanced computer software used in earth sciences. GG2A_W10, GG2A_W03 Examination,
Test
M_W003 Having completed the course student knows and understands function of tools of editing, processing and analysis of the spatial data (both, discrete and continuous). GG2A_W03
FLO matrix in relation to forms of classes
MLO code Student after module completion has the knowledge/ knows how to/is able to Form of classes
Lecture
Audit. classes
Lab. classes
Project classes
Conv. seminar
Seminar classes
Pract. classes
Zaj. terenowe
Zaj. warsztatowe
Others
E-learning
Social competence
M_K001 As the GIS is relatively new IT in the geoscience field, the student attending the course understands the need for continuous further education and upgrading his Earth science and IT knowledge and skills. GIS projects are commonly carried out in teams, therefore, he/she develops his/her abilities for a team-work and for proper planning of multi-stage works. - - - - - - - - - - -
Skills
M_U001 Student who completes the course is able to: - recognize, define and convert basic formats of the spatial data; - find and use resources in the public domain (WMS, WFS etc.); - find and purchase commercial resources of the spatial data; - create his own data by digitizing and DB building; - recognize, define and convert coordinate reference systems + + - - - - - - - - -
M_U002 Having completed the course student is able to: - select and apply tools of editing, processing and analysis appropriate to the needs and goals of the project; - acquire GPS data and apply them to the GIS projects; - present results of spatial processing and analysis as maps, report, presentation etc. + + - - - - - - - - -
M_U003 Having completed the course student is able to: - select and apply tools of editing, processing and analysis appropriate to the needs and goals of the project; - acquire GPS data and apply them to the GIS projects; - present results of spatial processing and analysis as maps, report, presentation etc - - - - - - - - - - -
Knowledge
M_W001 Student who completes the course: - knows and understands principles of GIS: spatial and attribute data and scope of their processing and analysis; - knows GIS software and its suppliers; - knows formats of the data; - knows cartographic projections and coordinate reference systems; - knows and understands rpinciples of satellite navigation systems + + - - - - - - - - -
M_W002 Student have a knowledge of using advanced computer software used in earth sciences. + + - - - - - - - - -
M_W003 Having completed the course student knows and understands function of tools of editing, processing and analysis of the spatial data (both, discrete and continuous). - - - - - - - - - - -
Module content
Lectures:

Spatial analysis (GIS)
Introduction to spatial data in natural sciences; GIS: basic terms, origin, history, recent developments; types of the data: spatial data (maps): vector and raster; attribute data and role of the Data Base; acquisition of the spatial data – digitising (on tablet, on screen, “automatic”), other sources of the data; continuous and discrete data; collection and processing of continuous data; methods of interpolation/gridding; Digital Elevation Model (DEM); coordinate systems: datum, projection, reference systems, reference grids, location; GPS (Global Positioning System) and other satellite-based positioning systems (Glonass, Galileo): principles and practical use, format of the data and use in GIS; principles of spatial analysis; DB Querry (reclass; assign, extract, histo, area, perimeter); distance operators (Euclidean, cost, spherical, anisotropic, pathway, buffer etc.); context operators (filters, pattern, texture, group etc.); statistics (regression, multiple linear regression, autocorrelation, etc.); Decision Support (MCE, MOLA, Bayesian probablility, etc.); principles of remote sensing and image processing; acquisition of data; basic methods of processing and analysis; application in environmental sciences (5 h).
-Remote Sensing
Introduction to Remote Sensing: principles and “philosophy”; sources of data: active and past satellite and airborne platforms and scanners, formats of the data; processing and analytical procedures: contrast adjustment, filtering, colour composites, map algebra, band ratios, classification (unsupervised and supervised)

Auditorium classes:

I Spatial analysis (GIS)
GIS software: “Idrisi” and “Arc GIS” – getting acquainted, digitising on screen and on the tablet, defining, processing and transformation of the coordinate systems, GPS measurements in the field and post-processing of the GPS data, processing of continuous data: points, TIN, grid, interpolation
Spatial analysis – basic procedures (reclassification, assign, extract, histogram, area, perimeter, distance operators, context operators, statistics, MCE, MOLA, Bayesian probability, etc., Spatial analysis – individual project 1, spatial analysis – individual project
II Remote Sensing
RS software: “ERMapper” and “Erdas Imagine”– getting acquainted, acquisition of the data: downloads from the network resources; formats of the data; conversion; import – export, basic processing and analytical procedures: contrast adjustment, filtering, colour composites, map algebra, band ratios, classification: unsupervised and supervised, integration of RS and GIS data
Final map output; interpretation and correction of the data obtained.

Student workload (ECTS credits balance)
Student activity form Student workload
Summary student workload 102 h
Module ECTS credits 4 ECTS
Participation in lectures 14 h
Participation in auditorium classes 28 h
Realization of independently performed tasks 45 h
Contact hours 5 h
Completion of a project 10 h
Additional information
Method of calculating the final grade:

The final grade: = 0,6* exam + 0,4 * classes test result

Prerequisites and additional requirements:

Prerequisites and additional requirements not specified

Recommended literature and teaching resources:

Basic:

Longley, Paul A. [et al.], 2005 – Geographical information systems and science. 2nd ed. John Wiley & Sons, Chichester.

Longley, Paul A. [et al.], 1999 – Geographical information systems. Vol. 1, Principles and technical issues. 2nd ed. John Wiley & Sons, Chichester.

Longley, Paul A. [et al.], 1999 – Geographical information systems. Vol. 2, Management issues and applications. 2nd ed. John Wiley & Sons, Chichester.

Neteler M., Mitasova H., 2008 – Open Source GIS. A GRASS GIS Approach. Springer.

Gupta, R. P., 2003 – Remote sensing geology. Springer.

Drury, S. A., 1993 – Image interpretation in geology. Allen and Unwin, London.

Supplementary:

Bonham-Carter, G. F., 1996 – Geographic information systems for geoscientists. Pergamon.

Brimicombe Allan, 2003 – GIS, environmental modelling and engineering. Taylor & Francis, London, New York.

Stillwell, John, Clarke, Graham (eds.), 2004 – Applied GIS and spatial analysis, John Wiley & Sons,Chichester.

Shashi Shekar, Hui Xiong (eds.), 2008 – Encyclopedia of GIS. Springer Science+Business Media, New York.

Abdul-Rahman, Alias, 2008 – Spatial data modelling for 3D GIS. Springer, Berlin.

Burrough, P.A., 1986 – Principles of Geographical Information Systems for land resources sssessment. Clarendon.

Scientific publications of module course instructors related to the topic of the module:

Additional scientific publications not specified

Additional information:

None