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

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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