The aim of this course is to provide a spatial perception via satellite imagery and present research initiatives to the study of the earth surface. This involves the combination of satellite imagery and their derivatives with ancillary data (topographic, thematic maps and a variety of digital layers), taking into consideration the spatial, temporal, spectral and radiometric resolution of satellite imagery.
The main learning objectives of the undergraduate course, are as follows:
(a) to determine, collect and combine the necessary and focused spatial information in order to analyze problems regarding planning and urban design. More specifically to select satellite imagery available from the Greek or the international market, at either reduced prizes or at no cost (for educational purposes). The above is provided through an extensive research of websites of international organizations of companies (NASA, ESA, USGS, etc.).
(b) to understand in depth the real problem and to spatially estimate and generalize their conclusions.
(c) after interpreting the structure and the spatial distribution of land cover originated from aerial photographs and satellite imagery, to extract basic spatial information and to acquaint and manage specific software of satellite imagery processing (Erdas Imagine, Idrisi etc). The students will be capable to perform transformations, arithmetic and logical operations on satellite imagery.
(d) to classify satellite imagery aiming to discriminate and spatially localize the existing land cover, influencing the urban expansion and regional development. Additionally, to produce through the digital processing new layers and thematic maps.
(e) to compose processed satellite imagery and various digital layers in order to create an integrated system of spatial information which will dispose a more complex and complete structure, useful for the reorganization and resolution of a planning or urban spatial case study.
(f) to use powerful reliability graduated criteria of their results (contingency tables or the ΚΗΑΤ index) and to be informed of the international bibliography regarding the minimum success level of their image processing (>90%).
Basic knowledge in remote sensing will help the students to be familiar with the state-of-the-art technologies and their applications on planning and urban problems. Moreover, the analysis of spatial influences towards the regional development in order to provide new topics of interest and the necessary knowledge in their future academic or professional career in the thematic fields of urban, planning and regional development and other related sciences.
The course topics are as follows:
Display of spectral bands of satellite imagery.
Digital image structure. Pixel and elementary image unit spatial localisation.
Colour palette creation and application on satellite imagery. Colour graduated images. Spectral band colour composites.
Histogram and analysis of digital satellite imagery. Manual images classification according to their histogram structure and the spatial localisation of the radiometric values of an image.
Algebraic and logical operations on satellite images. Images linear regression.
Visual identification of ground control points on satellite imagery. Satellite imagery overlay. Georeference of satellite imagery.
Filters and radiometric corrections of satellite imagery.
Spectral signatures: Land cover polygon’s digitization, spectral signature extraction and comparison.
Supervised and unsupervised satellite image classification.
Accuracy assessment of satellite imagery.
3 mandatory written assignments 15%
A short project 15%
The final written examination: 70%
1. Paul M. Mather, 1989 ‘Computer processing of remotely-sensed images: An introduction’, John Wiley & Sons.
2. Arthur Cracknell, Ladson Hayes, 1993 ‘Introduction to remote sensing’.
3. Thomas Lillesand, Ralph W. Kiefer, Jonathan Chipman, 2015, Remote Sensing and Image Interpretation, Wilwey,7th Edition