Optional UNIGIS Modules

With the increasing integration of society and economy in the European Union, purely regional or national approaches often make no sense, and a wider view is required. The EuroGIS module provides a fundamental overview of issues of geoinformation in Europe. Key information on how Europe works and which organisations and institutions are relevant on the EU level is provided. European datasets and projects are analysed, and European initiatives such as Galileo and Copernicus are assessed. Practical work introduces into finding of and working with European datasets e.g. in the context of Copernicus.Important policy developments related to GI are explored, and strategies to make geodata available at the European level, such as INSPIRE, are addressed.

Das Modul behandelt die Grundlagen der Luftbildphotogrammetrie und des flugzeuggetragenen Laserscannings. Dem Thema Genauigkeit wird dabei hohe Bedeutung beigemessen. Es wird gezeigt, von welchen Größen die Genauigkeit des Endergebnisses abhängt und wie diese Genauigkeit einfach abgeschätzt werden kann.
Das Modul „Landschaftsanalyse mit GIS“ bietet einen umfassenden methodischen Zugang zum Thema Landschaftsanalyse mit Methoden der Geoinformatik. Der Fokus liegt dabei auf der Anwendung von Landschaftsstrukturmaßen zur Quantifizierung, Analyse und Bewertung von raumbezogenen Polygon- oder Liniendaten.
Everything is related to everything else… This core principle of spatial analysis is equally true for the temporal domain: history matters! Together, the two dimensions of space and time build the spatio-temporal context of our environment. Whereas GIS has focussed primarily on the spatial perspective, there is a clear trend towards the incorporation of time. Dynamic models on the other side have for a long time ignored space. Only since a few decades a new theory of “complex systems” explicitly includes spatial heterogeneity. Therefore, spatial simulation models are fundamentally new tools to study systems from a truly spatio-temporal perspective.
The goal of this module is to introduce the use of QGIS for typical GIS tasks, such as data visualization, editing, and analysis. Course participants will also learn to use Python (in particular the QGIS Python API PyQGIS) to automate GIS workflows. Concepts that lend themselves to automation are first introduced using the QGIS GUI before we go into detail of achieving the goal in Python. The module is structured as follows:
The aim of this module is to deepen the understanding of Laser Remote Sensing techniques. The module provides an overview of today’s common sensors used for the Light Detection And Ranging (LiDAR) Remote Sensing along with the practical use case scenarios revolving around use of Point Cloud data and its handling for feature extraction.
The module gradually introduces the world of spatial information, and guides the reader from basic concepts to sophisticated analyses and case studies. It should open up new application domains to developers and prompt them to incorporate spatial aspects in already existing applications. However, it is also designed to attract GIS programmers or users, as it addresses Oracle Spatial entirely.