Education

GIS and Remote Sensing in Applied Geology

Semester

Fifth (5^th)

Course Code

GEO_610E

Course WebSite (Url)

https://eclass.upatras.gr/courses/GEO307/

Learning Outomes

The course aims at familiarizing students with geo spatial data and at introducing them in Geographic Information Systems and Remote Sensing technologies. By the end of this course the students will be able to:

Distinguish the concepts of analogue and digital image and calculate the digital image statistical parameters.
Distinguish the geographical data as vectors and rasters and information as spatial and non- spatial.
Understand the interactions of electromagnetic radiation with materials and atmosphere.
Study maps of Greece and to recognize the projection systems.
Recognize the most common satellite images and to digitally process them.
Use geographic and geological data in GIS environment, to process it and produce maps.

By the end of this course the student will, furthermore, have developed the following skills:

Ability to demonstrate knowledge and understanding of basic concepts, about GIS and RS.
Importing, storing, processing, managing satellite data with the use of specialized software.
Enhancing the quality of images, creating colored composites and interpreting them.
Implementing geometric correction, georeferencing and digitization of satellite images.
Importing, storing, processing, managing geographic and geological data in GIS environment.
Creation of DEM out of digitized contour lines and production of topographic and elevation profiles.
Creating maps with the combined use of Geographic Information Systems and Remote Sensing data.

General Competances

Searching, analysis and synthesis of facts and information, as well as using the necessary technologies
Decision making
Autonomous (Independent) work
Work in an international enviroment
Work in an interdisciplinary enviroment
Work design and management
Respect to natural environment

Syllabus

The course is organized in 4 teaching circles which are described below.

Circle Α:

Analogue and digital image, histogram and image statistical parameters
Theory of GIS, History, Structure.
Raster and vector data, structure of GIS system, spatial and non spatial data, topolology.
Sensors and platforms, electromagnetic spectrum.
Interactions of electromagnetic radiation with materials and atmosphere.

Circle Β:

Image classification. Supervised/ unsupervised multispectral classification.
Spatial, radiometric, spectral, temporal resolution of Remote Sensing data.
Digital image restoration, basic principles of image interpretation,, coloured composites, radiometric corrections, atmospheric correction of Remote Sensing data.

Circle C:

Map Projection. Introductory concepts (geoid, spheroid, ellipsoid, geographic coordinates, datum, grid systems, types of projection, parameters).
Hellenic Geodetic Reference Systems. Distortions, Mathematic models for geometric correction and resampling. Geometric correction of maps and satellite images.

Circle D:

Mapping with the combined use of Geographic Information Systems and Remote Sensing data.
Contour lines digitization, Digital Elevation Model generation, Topographic relief impact theory, orthophotos.
Image enhancement, digital histogram enhancement, image segmentation, , image enhancement filters.
Creation of topographic and elevation profiles.
Case studies of the use of Geographic Information Systems and Remote Sensing in Applied Geology.

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Hydrology with the use of geographic information systems and remote sensing data

Semester	Seventh (7^th)
Course Code	Geol_067
Course WebSite (Url)	https://eclass.upatras.gr/courses/GEO306/
LEARNING OUTCOMES	The course aims at familiarizing students with basic concepts of Hydrology, and the use of Geographic Information Systems and Remote Sensing data for implementing integrated hydrological studies. By the end of this course the students will be able to: Understand the concepts of hydrological cycle and hydrological balance. Understand the concepts of spatial analysis and to use tools of spatial interpolation.. Study, process and analyse statistically hydrological data from stations or databases. Process digital elevation models for extracting hydrological elements in GIS environment. Process thermal and multispectral Remote Sensing data for calculating evapotranspiration By the end of this course the student will, furthermore, have developed the following skills: Analogue and digital calculation of basic parametres of the hydrological balance in GIS environment. Analogue and digital calculation of morphometric parametres of drainage basins and drainage networks in GIS environment. Implementation of integrated hydrological studies. Buiding drainage and flood models in GIS environment. In total, students after successful completion of the semester will be able to demonstrate their knowledge in hydrology, to solve hydrological problems with the use of Geographic Information Systems and Remote Sensing data, to write independently integrated hydrological studies, and to produce thematic maps for information transfer to the public and the related services.
General Competances	Searching, analysis and synthesis of facts and information, as well as using the necessary technologies Decision making Autonomous (Independent) work Work in an international enviroment Work in an interdisciplinary enviroment Work design and management Respect to natural environment
SYLLABUS	The course is organized in 4 teaching circles which are described below. Hydrologic Cycle (Precipitation, Evaportranspiration, Runoff, Infiltration) Statistical processing of rainfall observations. Average Rainfall Estimation over a drainage basin(Average Rainfall method, Thiessen’s Method, Isohyet Method). Calculating evaporation - transpiration (Τhornthwaite, TURC, Burdon-Papakis, Coutagne). Spatial Analysis and Spatial Interpolation methods Application of spatial interpolation in Hydrology Digital Elevation Models. Methods for the creation of Digital Elevation Models Drainage basins and drainage network extraction from digital elevation models. Hydrological and quantitative basin analysis. Stream ordering (Sthrahler and Shreve). Horton parameters calculation. Calculation of morphometric parametres of drainage basins and drainage networks. Thermal Remote Sensing data Multispectral Remote Sensing data Calculating evapotranspiration with the use of thermal and multispectral Remote Sensing data. Buiding drainage models in GIS environment. Estimation of flood risk in GIS environment.

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GIS and Remote Sensing in Applied Geology

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