Digital Image Analysis and GIS

Lecturer

Martin Wegmann

ECTS

5 ECTS

 

Aim

This course provides detailed knowledge of programming or coding using spatial data, especially for remote sensing and GIS tasks.

 

Content

Different spatial programming approaches are covered using actual remote sensing and GIS data to enable the students to apply a variety of methods in a semi-automatic manner for remote sensing data analysis. All methods will be practically applied during the course using the programming language R and maybe other programs such as GRASS, SAGA, QGIS or OTB. This course continues where the “Programming and Geostatistics” courses stopped and is considered a prerequisite. Both courses are tightly linked

 

Coding

Coding for specific spatial data tasks are covered

Software

Various software programs will be used, but mainly OpenSource software such as R.

Techniques

Different spatial data coding techniques will be introduced and practically applied.
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Content

Coding exercises for the analysis of spatial data sets

General Course News and Updates

Summer School of Alpine Research

Summer School of Alpine Research

Last week, Laura, an 8th gen EAGLE Student, participated in the Summer School of Alpine Research, conducted by the University of Innsbruck, in the beautiful location of the Austrian Oetztal in Obergurgl. The focus of the Summer School was on Close Range Sensing...

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EAGLE M.Sc. thesis in the Arctic

EAGLE M.Sc. thesis in the Arctic

Our EAGLE student Ronja Seitz is conducting her field work for her Master thesis in the Arctic, on Svalbard. She started collecting her data in June to build up a timeseries with UAS multispectral data to investigate disturbances like rain on snow (ROS) events and...

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Master Defense: Comparing the suitability of remote sensing and wildlife camera time series for deriving phenological metrics of understory vegetation in temperate forests of Upper Franconia, Bavaria

Master Defense: Comparing the suitability of remote sensing and wildlife camera time series for deriving phenological metrics of understory vegetation in temperate forests of Upper Franconia, Bavaria

On September 18, Sarah Schneider will present her master thesis "Comparing the suitability of remote sensing and wildlife camera time series for deriving phenological metrics of understory vegetation in temperate forests of Upper Franconia, Bavaria" at 14:00 in...

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